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Landmark Data Processingis in the Payments Industry

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🪐 has got you covered with fresh content from our trending stories of the day! Set email preference . Want to know what's trending right now?: The Techbeat by HackerNoon here Mastering the Art of Load Testing for Web Applications By [ 7 Min read ]
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The TechBeat: Mastering the Art of Load Testing for Web Applications (12/3/2023)

How are you, hacker?
🪐 has got you covered with fresh content from our trending stories of the day! Set email preference . Want to know what's trending right now?: The Techbeat by HackerNoon here Mastering the Art of Load Testing for Web Applications By [ 7 Min read ]
Mastering load testing for web apps takes understanding the basics, the process, tools, best practices, common pitfalls, and future trends. So, let's dive @mariarogova Read More. Learning the Ins and Outs of Zero-Knowledge (ZK) Proofs By [ 2 Min read ]
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Bitcoin's halving, scarcity, and price impact. Learn how it mirrors 'digital gold' and affects investment strategies. 🧑‍💻 What happened in your world this week? It's been said that , , . Feeling stuck? We got you covered ⬇️⬇️⬇️ We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.
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The Hacker Noon Team ✌️ @ulriklykke Read More. writing can help consolidate technical knowledge establish credibility and contribute to emerging community standards ANSWER THESE GREATEST INTERVIEW QUESTIONS OF ALL TIME

The TechBeat: Mastering the Art of Load Testing for Web Applications (12/1/2023)

How are you, hacker?
🪐 has got you covered with fresh content from our trending stories of the day! Set email preference . Want to know what's trending right now?: The Techbeat by HackerNoon here Mastering the Art of Load Testing for Web Applications By [ 7 Min read ]
Mastering load testing for web apps takes understanding the basics, the process, tools, best practices, common pitfalls, and future trends. So, let's dive @mariarogova Read More. Scaling PostgreSQL: How We Tamed 10 Billion Daily Records and 350 TB+ of Data By [ 18 Min read ]
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Use your streaming history to generate your own Spotify streaming stats like most listened-to songs, artists, and albums. @lukaskrimphove Read More. A New Chapter in Crypto Governance: CAGA Crypto’s Integration Into Centralized Exchanges By [ 2 Min read ]
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Many have asked about how they might follow a similar path. While there isn't a particular resource or secret to success, there's a pattern that you can  follow 🧑‍💻 What happened in your world this week? It's been said that , , . Feeling stuck? We got you covered ⬇️⬇️⬇️ We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.
See you on Planet Internet! With love,
The Hacker Noon Team ✌️ @alcueca Read More. writing can help consolidate technical knowledge establish credibility and contribute to emerging community standards ANSWER THESE GREATEST INTERVIEW QUESTIONS OF ALL TIME

The TechBeat: Mastering the Art of Load Testing for Web Applications (11/29/2023)

70-Page Report on the COCO Dataset and Object Detection [Part 3]

Good future developments — privacy law, autonomous drones, AI’s periodic table — for a better tomorrow. Bad future developments — U.S. fratricide, mass surveillance, AI & developing economies, education — all point to a dystopian tomorrow. Ugly future developments — U.S. tech problems, China and search problems — challenge our ingenuity now. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Good future developments California passes landmark data privacy bill — “[Law’s] improvements are:…. Businesses must disclose what information it collects Businesses must disclose what business purpose it does so for Businesses must disclose any third parties it shares that data with… Businesses required to comply with official consumer requests to delete that data Consumers can opt out of their data being sold Businesses can’t retaliate by changing the price or level of service Businesses can…offer ‘financial incentives’…to collect data …. California authorities are empowered to fine companies for violations Facebook and Google…aligned with others in opposition…[like] internet providers like AT&T and Verizon …. ” [California’s] influential and populous state…where a great deal of tech companies are based…[so] law will have more than merely a local effect. https://techcrunch.com/2018/06/28/landmark-california-privacy-bill-heads-to-governors-desk/ Drones Just Learned to Fly Solo, Which Means Pro Racers May Soon Meet Their Match — “[New] system that allows drones to autonomously navigate an obstacle course of gates with 100 percent accuracy…[so] won’t crash into something and…can adapt if…move a gate mid-run, completing a course that looks different than when they started…using its onboard camera…and the neural network outputs**….** …. [Since] drone isn’t just relying on a static map of its environment, it’s better equipped to react to the unexpected…doing it all onboard[and] will only get more powerful .” Our skies are about to fill up with drones, delivery drones in particular , which will have to avoid…one another [and]…the many obstacles of the big city https://www.wired.com/story/watch-out-pro-racers-these-drones-just-learned-to-fly-solo/ AI recreates chemistry’s periodic table of elements — “[T]he periodic table of elements, arguably one of the greatest scientific achievements in chemistry…[yet] artificial intelligence (AI) program… accomplished the same feat in just a few hours…[unsupervised] using concepts borrowed from…natural language processing…to discover the on its own…. periodic table [ Wanted] ‘to see if we can design an AI that can beat humans in…[remaking] some of the greatest discoveries already made by humans’ …[Plan’s] to discover and design new materials …. [Now] will focus on cracking an intractable problem in medical research: designing just the right antibody to attack antigens…that are specific to cancer cells …. [Humans] produce more than 10 million unique antibodies, each…a different combination of about 50 genes …. ’” ‘[If] map these building block genes onto a mathematical vector…can organize all antibodies into something similar to a periodic table. https://phys.org/news/2018-06-ai-recreates-chemistry-periodic-table.html Bad future developments Trump Remakes America — “[Trump] has attacked American institutions that seek truth and justice… shunned and denigrated…traditional allies and cozied up to…traditional enemies…[and] solidify the court’s conservative majority for a generation_…._ …. [For] person who believes in…equality, respecting choice and identity and civil rights, your vision of America is in jeopardy Conservative strategic thinkers…[think] in terms of generations…[see] demographic tide is moving against them and will soon wash away much of their power…[so] strategy is to slow that progress…[and] restrict immigration, both illegal and legal… push for voter restrictions, suppression and disenfranchisement… mass incarceration. Conservatives want to arrest America’s development…[and] courts are an insurance policy…[using] religion as a weapon, to control…people’s bodies and…full participation in [America]…because of whom they love, how they identify, where they are from or which God they worship…[protecting] ‘American culture,’ which is…white culture. No matter how advantage was gained, no matter how privilege was acquired, it is… scrubbed clean of blood and tears…[and] must be preserved…. …. [Obamacare] asked those with more to help support the health…of those with less…[and] precisely why conservatives hate it…[preferring] Darwinian ecosystem…in which health corresponds directly with wealth To [conservatives] shifting wealth was shifting power…[in] battle over what America was, is and can be ….[It’s] reason that Trump’s base will never abandon him …. .” [So] a man whose candidacy was a joke, whose election was a fluke tainted by fraud… s how a country’s progress can be crippled…right now in large part because too many people thought that it could not https://www.nytimes.com/2018/06/27/opinion/anthony-kennedy-supreme-court.html?rref=collection%2Fsectioncollection%2Fopinion&action=click&contentCollection=opinion&region=rank&module=package&version=highlights&contentPlacement=3&pgtype=sectionfront A Better Reason to Delay Kennedy’s Replacement — “Mr. McConnell’s blatantly anti-democratic ploy stole a judicial appointment from a popularly elected president and gave it to one who lost the popular vote by millions…[and] should not be permitted to appoint a new Supreme Court justice until after the special counsel investigation is over, and we know [if]…there is evidence of wrongdoing…[since] a court that may one day stand between him and impeach…[can] provide an effective bulwark against autocratic [rule] …. [There’s] several knotty constitutional questions…. Can the president pardon himself or others…to extricate himself from criminal investigation? Can the president be compelled to testify before a grand jury? Can a sitting president be criminally indicted?…. Can a president ever obstruct justice? What is the proper legal remedy for…violations of the Emoluments Clause ?…. [N]ever before has the selection of a Supreme Court nominee been so thoroughly compromised by the president’s profound personal interest in appointing a judge …. …. [President] has surveillance capacities never before seen, vast power to conduct drone strikes and…lethal military operations abroad…to set immigration and law enforcement priorities and…to regulate enormous areas of economic and personal life This is the perfect recipe for autocracy …[so] the importance of checks and balances has never been greater . … .” [Trump] by his own admission, already taken steps to thwart an investigation into his…potential criminality…[and] makes the present moment all the more frightening https://www.nytimes.com/2018/06/29/opinion/a-better-reason-to-delay-kennedys-replacement.html?rref=collection%2Fsectioncollection%2Fopinion&action=click&contentCollection=opinion&region=rank&module=package&version=highlights&contentPlacement=7&pgtype=sectionfront The ACLU’s Biggest Roadblock to Fighting Mass Surveillance — “[ACLU] lawsuit challenging the constitutionality of a type of [NSA]…bulk monitoring known as ‘upstream’ surveillance…[but] mired in procedural and bureaucratic limbo…. …. NSA passively monitors and collects…communications by combing international internet traffic as it moves across service providers’ [infrastructure]…[and] suit alleges that this tactic violates the First and Fourth Amendment, along with other laws Now, the government is using…the ‘state secrets privilege,’ which protects classified information from the discovery process in a lawsuit, to resist cooperating…. ’No public court has ever addressed the lawfulness of this surveillance…[and] government has put up a series of obstacles to having…courts fairly and openly litigate the big legal questions at stake here’ …. …. The intelligence community has argued that…[it’s] investigating targets of interest to national security…[but] ACLU points out that this list…recently ballooned to include about 129,000 people…[with] surveillance dragnet is ever-expanding…[it] can sweep up countless people’s irrelevant personal data .” ’It is critical that the federal courts have the information they need to effectively oversee these…unchecked surveillance activities’…[and] measurable chilling effect https://www.wired.com/story/wikimedia-nsa-surveillance-privacy-lawsuit/ The Rise of the Robot Reserve Army: Automation and the Future of Economic Development, Work, and Wages in Developing Countries “[The] emerging economies face a…challenge to traditional…employment generation: automation, digitalization, and labor-saving technologies. …. 1.8 billion jobs — or two-thirds of the current labor force of developing countries…[are] susceptible to automation…particularly in the agricultural and industrial sectors…leading to a bloating of service-sector employment and wage stagnation…which implies socio-political consequences [ Strong] skepticism about…skills-based development strategies alone. Social safety nets…offer one strategy; yet, to the extent that they raise the cost of labor, could…[accelerate] technological substitution…. …. [The] discussions about a living-wage level universal basic income (UBI) somewhat smack of a ‘first-world problem’ Protectionist trade policy in the North could…accelerate reshoring, and…[impact] the developing world …. In the long term, utopian as it may seem…the moral case for a global UBI…[though] difficult to see how such a framework would be politically enacted …. [Thus] three points. automation is challenging the competitive advantage of low-cost labor…. many developing countries have a vulnerable labor force in terms of wage stagnation and premature deindustrialization…. .” we need to ask different policy and research questions and be concerned about the jobs impact of technology and the political economy of automation https://www.cgdev.org/publication/rise-robot-reserve-army-automation-and-future-economic-development-work-and-wages Trump to rescind race guidelines in college admissions — “[Guidelines] Trump officials contend ‘mislead schools to believe that legal forms of affirmative action are simpler to achieve than the law allows…. Supreme Court has ruled universities may use affirmative action to help minority applicants get into college. …. Conservatives have said such programs can hurt white people and Asian-Americans ” ’The law on this hasn’t changed, and the Supreme Court has twice ruled reaffirming the importance of diversity….This is a purely political attack’ https://www.reuters.com/article/us-usa-education-race/trump-to-rescind-race-guidelines-in-college-admissions-wsj-reports-idUSKBN1JT1HO _Vannevar Bush, Doug Engelbart & Virtual Assistants_medium.com Reducing Education &Knowledge Gaps Ugly future developments Tech in a time of travesties — “[Today] …as software eats the world, and everything is networked together…[so] the networks controls everything…[and] most valuable public companies in the world…[are] dominated by tech…. technology concentrates power …. Democracy has long been prone to lies and manipulation, but technology’s…ability to concentrate power over elections in the hands of a few is…new and horrifying The idiotic hatred aimed at Central Americans and Maghrebians today is…identical to that which targeted Irish and German immigrants in 19th century…[but] prospect of enforcing that hatred wholesale…[with] a police-state dystopia ‘wall’ of drones and automatic facial-recognition checkpoints…[is] entirely new and terrible …. …. [Finally] employees begin to uneasily realize that what they do is often a…source of anxiety and bullying, and that…[they] may have created space for a new kind of centralized power…which subtly, maliciously manipulates users’ beliefs, and/or…a consensus reality .[ Maybe the centralization of power by technology has become profound enough that the whole Valley / startup mentality…has become dangerous and wrong… Maybe] centralized tech companies has become problematic…. . [Blockchain] permissionlessness is a genuine dissipation of power …[though] concentration of crypto wealth is anything but ….[Still] at least it’s a new mindset… ripe with possibility and the promise of emergent properties .” Too much of the tech industry keeps grimly trying to work the…levers of that increasingly rusted engine https://techcrunch.com/2018/07/01/tech-in-a-time-of-travesties/ _According to The Economist, total spending for the 2016 presidential election will exceed $5 billion — double the 2012…_medium.com Is Silicon Valley Politically Brain Dead? How to fix what has gone wrong with the internet — “The internet was…to make the world a less centralized…but the opposite has happened…[and] failed to deliver the positive, constructive society [hoped]…[hoovering] up everybody’s data and empowers malicious trolls and hackers…. [ …. It’s] dominated by a few giants, from Facebook to Tencent… [in] a new hierarchy…[with] strictly controlled…’walled gardens’…hardly more exciting than television…through their app stores…[and] cloud computing Meanwhile governments…[use] big internet firms as willing enforcers…[to] block unwelcome content …. [Now] a vast collection of data silos with big pipes between them, connected to all kinds of devices which both deliver services and collect more data …. …. [Some] argue that to reap the benefits of artificial intelligence (AI)…online giants should be treated as utilities….[They’re] a source of much invention…[but] dampen it elsewhere, so that fewer new ideas are being tried_._ Venture capitalists now talk about ‘kill zones’, areas they will not invest in because one of the big players may squeeze the life out of startups or buy them up at a low price Walled gardens often limit free speech…[and] makes it easier for Russian trolls and their Western counterparts to meddle in elections by spreading misinformation. …. The concentration of…personal data in one place makes serious leaks more likely….[and] handy for spooks, as shown by…Edward Snowden …. And online giants have plenty of cash to influence offline politics A sense of a new beginning is also in the air…based on blockchain technology …. .” [Others] argue that without the free services…by companies such as Google and Facebook, far fewer people would be using the internet…[and] make the case against regulation…[as is] thriving in China https://www.economist.com/special-report/2018/06/28/how-to-fix-what-has-gone-wrong-with-the-internet _Power corrupts and absolute power corrupts absolutely_medium.com Curated Knowledge is THE Future of All Power How China Is Trying to Invent the Future as a Science Superpower “Genetic engineering…dark matter, quantum computing…artificial intelligence, brain science…[have] significant implications for future industries, defense technologies and…understandings of what it means to be human…. [ Increasingly] achievements in these fields are coming…[from] China’s extensive research system …[where] spending has grown rapidly over the past two decades…second only to [U.S.]…largely conducted in five institutional sectors…. Chinese Academy of Sciences (CAS)… Universities… company-based R&D, especially in information and communications technology fields… Government research institutes under civilian ministries…for agriculture, public health, environmental protection, natural resources and so on… military …. [All] driven by its top political leaders who see China’s future wealth and power being derived from its research and innovation capabilities…[and] defined by a top-down design process … [It’s] also found in the initiatives of local governments , many of which have become major funders of R&D….[Still] China’s technological progress…[as] a surveillance state…[leaves] little room for privacy and dissent.” https://www.scientificamerican.com/article/how-china-is-trying-to-invent-the-future-as-a-science-superpower/ The Complexity of Simply Searching for Medical Advice — “Babies are born with very low stores of vitamin K, and without the Vitamin K shot…they do not have enough Vitamin K in their blood to form a clot,’ the CDC says on its website . But new parents who turn to search engines to understand the practice will find an aberrant — and dangerous — strain of thinking…. …. [It’s] example of a keyword void, or search void…[where] answers about a keyword returns content…by a niche group with a particular agenda ….[O]n Facebook are anti-vax…[articles] reaching an audience of millions. YouTube results are no better…[with] very little counter-content to surface because it simply doesn’t occur to regular people (or…actual medical experts) that there’s a need to produce counter-content [Since] the first few pages of search results repeats these claims, the message looks like it represents a widely-held point of view. . …. But it doesn’t It’s wrong, it’s dangerous, and it’s potentially deadly . Social reinforcement from trusted friends is [important]…when trust in authorities is in crisis … Snopes and FactCheck.org, devoting more resources to combating misinformation. But it’s hard to make corrections go viral…. [T]o answer questions that have a profound impact…especially where health is concerned, this difficulty in discerning, and surfacing, sound science from pseudo-science has alarming consequences …. [W]ill the tech platforms…understand that giving legitimacy to health misinformation via high search and social rankings is profoundly harmful? . Getting high-quality, fact-based health information shouldn’t be dependent on the outcome of SEO games, or on who has more resources for pay-to-play content promotion .’” Ultimately, the question is, how do we incorporate factual accuracy into rankings when no one is willing to be the ‘arbiter of truth https://www.wired.com/story/the-complexity-of-simply-searching-for-medical-advice/ _In the past, street maps on paper were often unwieldy, origami-like traveling companions. While these maps had all the…_medium.com Doc’s — Where Search Ends and Knowledge Begins! Find more of my ideas on Medium at, . A Passion to Evolve Or click the Follow button below to add me to your feed. Prefer a weekly email newsletter — free, no ads, no spam, & never sell the list — email me with “add me” in the subject line. dochuston1@gmail.com May you live long and prosper!Doc Huston

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Machine learning (ML) and artificial intelligence (AI) technologies can hardly be called emerging in 2019. For the last decade, domains of all sorts have been leveraging them, and speaks to the fact. Today, ML and AI create value for organizations across Consumer Services, Automotive, Agriculture, Retail, Healthcare, and other major industries. the visualization by McKinsey Global Institute As businesses realize these technologies are a boon, the demand for machine learning consulting companies is skyrocketing, which predictably influences the supply. In such a way, today’s IT market is literally larded with ML vendors tackling projects of any scope and budget. To help you make your way through this enormous and diverse offering, we assembled a list of today’s most trustworthy vendors of machine learning consulting and development services. Our IT market analysts assessed an extensive range of companies according to the following objective criteria: Proven machine learning expertise Prior projects: size and complexity Diversity of business domains served Client references Speed and quality of customer service As a result, we got a list of 30 companies worthy of attention. For readers’ convenience, we present the vendors in descending order. 1. Itransition A recognized custom software development company, Itransition has delivered 1,500 projects over the span of its 20-year market presence. With more than 2,000 IT experts on board, the company has served 810 clients from 30 countries. Among the ML services the company provides there are data mining, natural language processing, computer vision, robotic process automation, and machine learning consulting. To deliver its ML solutions, Itransition uses such technologies as Python, R, Azure, Google Cloud, and AWS. Location: Denver, CO Established: 1998 Project budgets start at: $10,000 Key clients: Expedia, Xerox, Toyota, eBay, PayPal, Shell, adidas Other, non-ML services: custom software development, CRM consulting, ecommerce development Website: https://www.itransition.com/ 2. Tooploox EU-based Tooploox has around 100 skilled experts on board. For seven years of the company’s operation, they delivered 150+ successful projects. Tooploox is a machine learning consulting company using this technology to deliver computer and 3D vision, sensor fusion, deep learning, natural language processing, reinforcement learning, and other ML-related services. The company has expertise with other emerging technologies, such as blockchain. Location: Wrocław, Poland Established: 2012 Project budgets start at: $25,000 Key clients: CoinDesk, DTS, ING, Spire Health, Group Nine Other, non-ML services: mobile app development, product design Website: https://www.tooploox.com/ 3. Skim Technologies London-based Skim Technologies is an internationally recognized machine learning consulting company delivering a wide range of related services. The company’s data scientists offer chatbot development, custom ML model creation, and NLP engineering. Skim Technologies also delivers AI workshops as well as ML and AI consulting services. Location: London, United Kingdom Established: 2014 Project budgets start at: $10,000 Key clients: Jones Lang-Lasalle, Breast Cancer Care, Quant Insight Other, non-ML services: business intelligence consulting, custom software development Website: https://www.skimtechnologies.com/ 4. ThirdEye Data US-based ThirdEye Data has been delivering its ML development services for nine years. The company specializes in chatbot development, custom ML algorithms, and machine learning consulting. Among the data science technologies the company works with, there are Spark, TensorFlow, Caffe, and others. Location: Santa Clara, CA Established: 2010 Project budgets start at: $25,000 Key clients: Microsoft, Amazon, Nokia, Ford Direct, Getty Images, Amgen Other, non-ML services: business intelligence consulting, cloud consulting Website: https://thirdeyedata.io/ 5. Chatbots.Studio As its name implies, Chatbots.Studio is a company focusing on AI-powered chatbot development. It builds multichannel conversational platforms, automates business processes, and designs conversations. The company’s technology stack includes React, Redux, Angular 6, Node.js, Express.js, Botkit, and others. Location: Lviv, Ukraine Established: 2016 Project budgets start at: $5,000 Key clients: Visa, Unibot, Aldi, Digital Flex Other, non-ML services: custom software development Website: https://chatbots.studio/ 6. Azati Software Since 2001, Azati's experts have cooperated with 330 clients globally. Among the ML competencies of the company there are supervised and unsupervised learning, distributed computing, natural language processing, digital signal processing, and machine learning consulting. Azati’s tech toolkit includes CuDNN, Scikit Learn for Python, and Tensor Flow. The company mainly targets clients in the Insurance domain. Location: Livingston, NJ Established: 2001 Project budgets start at: $1,000 Key clients: MedPro Group, SequenceBase, Casio, Thomson Reuters Other, non-ML services: mobile app development, web development Website: https://azati.ai/ 7. Hidden Brains Since its foundation in 2003, Hidden Brains has cooperated with clients from 107 countries. The company delivers AI, ML, deep learning, and data science services. It also specializes in developing natural language processing software. Hidden Brains also delivers chatbots, including those for Facebook, Telegram, WhatsApp, and Slack. Location: Ahmedabad, India Established: 2003 Project budgets start at: $10,000 Key clients: McAfee, Raymond, Maxtor, SanDisk Other, non-ML services: mobile app development, web development Website: https://www.hiddenbrains.com/ 8. InData Labs Established in 2014, InData Labs houses 50+ data scientists, engineers, and analysts. The company develops ML algorithms and natural language processing solutions. Besides, InData Labs specializes in computer vision and predictive modeling. The company's stack includes Python, SpaCy, TensorFlow, Keras, and more proven languages and frameworks. Location: Minsk, Belarus Established: 2014 Project budgets start at: $5,000 Key clients: Captiv8, Flo Health, Wargaming Other, non-ML services: business intelligence consulting Website: https://indatalabs.com/ 9. Arcanys Since 2010, Philippines-based Arcanys has been delivering its ML and AI services to clients from all over the world. The company specializes in sentiment analysis, recommender systems, and image recognition. As one of its cooperation models, the company provides dedicated teams of highly experienced data scientists and developers. Location: Cebu City, Philippines Established: 2010 Project budgets start at: $100,000 Key clients: General Electric Korea, Enfo, Payment Logic, L’Oreal, Spinetix Other, non-ML services: custom software development, mobile app development Website: https://www.arcanys.com/ 10. MobiDev Since 2009, MobiDev’s IT experts have delivered 350+ software solutions. While headquartered in the US, the company provides its services globally. MobiDev uses the following machine learning technologies: Python, R, C++, Go, TensorFlow, ONNX, and Keras. MobiDev’s mobile ML toolkit includes Core ML, TensorFlow Lite, and Cafe2Go. On top of that, the company provides machine learning consulting. Location: Atlanta, GA Established: 2009 Project budgets start at: $10,000 Key clients: Verizon Media, Comcash, Quality Bridge, SmartTab, SMS Group Other, non-ML services: IoT development, web development Website: https://mobidev.biz 11. Spire Digital For over 20 years that Spire Digital has been providing IT services, it has cooperated with 600+ global customers. Among the ML and AI development services the company offers, there are natural language processing, supervised and unsupervised learning, and sentiment analysis. Also, Spire Digital creates chatbots for Facebook Messenger, Slack, Skype, and Cisco WebEx. Location: Denver, CO Established: 1998 Project budgets start at: Undisclosed Key clients: TomTom, Lockheed Martin, US Navy, USDA, Western Union Other, non-ML services: custom software development, mobile app development Website: https://www.spiredigital.com/ 12. Icreon New York-based Icreon is a digital innovation agency mostly targeting medium-sized businesses. The company uses AI and ML technologies to create innovative applications, platforms, and ecosystems. The company’s technological expertise in ML includes Amazon Web Services, Azure, Caffe2, Google Cloud, Keras, and more. Location: New York, NY Established: 2000 Project budgets start at: $25,000 Key clients: National Geographic Channel, FOX Movies, Harry Winston, Nokia Other, non-ML services: custom software development Website: https://www.icreon.us/ 13. Miquido For eight years, Miquido's team has successfully completed more than 100 projects, including in machine learning. The company offers solutions for AI-based personalization, predictive and behavioral analytics, and churn prediction. Miquido also develops chatbots. Recognized by Deloitte as one the fastest growing companies in Europe, Miquido also offers UI/UX design creation and mobile apps development. Location: Kraków, Poland Established: 2011 Project budgets start at: $25,000 Key clients: Skyscanner, Abbey Road Studios, HelloFresh Other, non-ML services: mobile app development, web development Website: https://www.miquido.com/ 14. Neoteriс Founded in 2005, Europe-based Neoteric offers a wide range of ML solutions, including predictive analytics, recommendation engines, NLP, robotic process automation, and machine learning consulting. The company also specializes in such AI platforms as SaaS Manager, SoapBox, AppOrchid, and RapidSOS. Location: Gdańsk, Poland Established: 2005 Project budgets start at: $10,000 Key clients: LunchBadger, Arvata, IT Trans Other, non-ML services: custom software development, web development Website: https://neoteric.eu/ 15. Unicsoft Established in 2005, Unicsoft employs more than 100 specialists in emerging technologies and software development. Within its ML tech stack, the company offers development of predictive and behavioral analytics solutions, neural networks, and recommendation engines, among other ML applications. The company also delivers consulting services, and maintenance of existing ML platforms. Location: Kiev, Ukraine Established: 2005 Project budgets start at: $5,000 Key Clients: Hoodifood, Executive Eye, GOFORIT, Intellica Group Other, non-ML services: blockchain Website: https://unicsoft.com/ 16. Abto Software With 12 years of its market presence, Abto Software’s has worked with 200+ global customers. Specializing in AI and ML, the company offers custom enterprise solutions for advanced and predictive analytics, virtual assistants, recommendation systems, and intelligent business process automation. Abto Software works with the following tools and frameworks, among others: TensorFlow, Keras, Caffe, OpenCV, and AWS. Location: New York, NY Established: 2007 Project budgets start at: Undisclosed Key clients: Just Answer, Skybow, Medikit, Up Great Other, non-ML services: web development, enterprise app modernization Website: https://www.abtosoftware.com/ 17. Accubits Technologies, Inc. US-located Accubits started in 2012 and has already cooperated with 140+ clients. The company’s ML capabilities include development of conversational and classification tools, video, image and text analytics solutions, as well as predictive analytics software. Besides, Accubits offers machine learning consulting. The company’s experts work with NumPy, PHP, Python, SpaCy, Spark, and several other platforms. Location: Vienna, VA Established: 2012 Project budgets start at: $5,000 Key сlients: Dubai Land Department, Smart Dubai, Eduvalue, Landmark Other, non-ML services: blockchain, custom software development Website: https://accubits.com/ 18. BotsCrew Established in 2016, BotsCrew is a global leader in chatbot development, delivering to mid-sized companies and startups. BotsCrew has its own enterprise chatbot platform that is ready to be customized and optimized according to customers' needs. Besides the proprietary platform, the company offers development of voice assistants and IoT bots. Location: London, United Kingdom Established: 2016 Project budgets start at: $10,000 Key clients: Ailira, IVA, ReVA, Dr. Dean Other, non-ML services: None Website: https://botscrew.com/ 19. STX Next Founded in 2005, STX Next is a custom software development company that specializes in streamlining IT solutions with AI and ML technologies. The company’s main technological advantage is in its exceptionally skilled Python developers. For 14 years on the market, STX Next has delivered over 250 successful projects. Location: Poznań, Poland Established: 2005 Project budgets start at: $25,000 Key clients: Seerene, Verve, Hogarth WW, Pixomondo, Unity Technologies Other, non-ML services: web development, custom software development Website: https://stxnext.com/ 20. Dogtown Media California-based Dogtown Media specializes in delivering mobile applications, enhanced with ML and AI technologies. Besides ML-powered mobile apps, the company provides machine learning consulting. For the last eight years, Dogtown Media has brought to life at least 200 applications. Location: Venice Beach, CA Established: 2011 Project budgets start at: $25,000 Key clients: Google, Lexus, United Nations, Citibank, Red Bull, YouTube Other, non-ML services: mobile app development, IoT development Website: https://www.dogtownmedia.com/ 21. Sigmoidal Sigmoidal is a New-York-based consultancy specializing in machine learning and data science, mostly for companies in Finance, Trading, and Pharma. The company integrates these technologies into web and mobile applications and APIs. It also offers solutions for NLP, computer vision, and predictive analytics. Location: New York, NY Established: 2016 Project budgets start at: $1,000 Key clients: Undisclosed Other, non-ML services: business intelligence consulting Website: https://sigmoidal.io/ 22. Cyber Infrastructure Established in 2003, Cyber Infrastructure is a custom software development company with 100+ clients worldwide. Its ML expertise includes development of virtual assistants and chatbots for a variety of domains. Cyber Infrastructure also provides machine learning consulting and employs Python, Java, C++, Lisp, and R as its primary ML and AI stack. Location: San Francisco, CA Established: 2003 Project budgets start at: $5,000 Key clients: Mannatech, Bell Other, non-ML services: custom software development, web development Website: https://www.cisin.com/ 23. Azilen Technologies US-headquartered Azilen Technologies has 250+ IT experts on board distributed across four offices worldwide. They employ ML technologies to deliver customer service, survey, and informational bots. On top of that, the company delivers facial recognition and predictive analytics solutions. Location: West Bloomfield, MI Established: 2009 Project budgets start at: $25,000 Key clients: Samsung, Pizza Hut, Sodexo, ICICI Bank Other, non-ML services: custom software development Website: https://www.azilen.com/ 24. Stermedia Stermedia has been delivering its ML and data science services since 2007. The company’s dedicated teams of data scientists and software architects design ML algorithms and models for extracting knowledge from big data sets. The company also provides NLP solutions and uses such technologies as TensorFlow and Keras, to name just a few. Location: Wroclaw, Poland Established: 2007 Project budgets start at: $10,000 Key Clients: Family Fabric, WorkService, ISOK Other, non-ML services: custom software development, web development Website: https://stermedia.ai/ 25. Belatrix Having five offices with 600+ professionals all around the world, Belatrix is one of the most fast-evolving machine learning consulting companies on the market today. Its machine learning experts have a proven track record of building various solutions, from predictive modeling to communication automation. Location: Mendoza, Argentina Established: 2003 Project budgets start at: $5,000 Key clients: Disney, Adobe, AOL, FIS, Chatman Financial Other, non-ML services: custom software development, mobile app development Website: https://www.belatrixsf.com/ 26. DataRoot Labs DataRoot Labs is an agency focusing on ML and AI development. It delivers full-cycle ML software development, including project evaluation, machine learning consulting, strategy development, architecture, integration, and support. Besides, DataRoot Labs helps enterprises with digital transformation with AI at the core. Location: Kiev, Ukraine Established: 2016 Project budgets start at: $5,000 Key clients: Servers.com, Everad, ABM Cloud, Cargofy Other, non-ML services: custom software development, mobile app development Website: https://datarootlabs.com/ 27. Softengi Since 1995, Softengi has completed 900+ projects for clients across six continents. The company’s ML services include chatbot engineering and NLP algorithms. For these purposes, Softengi uses R, Hadoop, and Python, among other tools. Location: Kiev, Ukraine Established: 1995 Project budgets start at: $10,000 Key clients: Boeing, Zeppelin, Enviance, OneRoof Energy Other, non-ML services: custom software development, AR/VR development, IoT development Website: http://softengi.com/ 28. Waverley With 27 years of software development experience, Waverley is a company housing 370K talented engineers. Among other services, they offer ML-centric solutions such as data clustering and unsupervised algorithms. On top of that, the company offers NLP and computer vision solutions and chatbots. To deliver ML products, Waverley’s engineers use Java, Python, Scala, and R. Location: Palo Alto, CA Established: 1992 Project budgets start at: $50,000 Key clients: Mozilla, Qualcomm, Swisscom, American Express Other, non-ML services: custom software development, mobile app development, IoT development Website: https://waverleysoftware.com/ 29. Imaginovation Founded in 2011, Imaginovation is a software development agency that has successfully completed 300+ IT projects of various complexity. As for ML and AI, the company develops recommendation and effectiveness assessment engines as well as solutions for speech and text processing automation. Location: Cary, NC Established: 2011 Project budgets start at: $10,000 Key clients: MetLife, Nestle, UNC Pembroke, Contractor Score Other, non-ML services: custom software development, mobile app development, web development Website: https://www.imaginovation.net/ 30. E2logy Established in 2005, E2logy has delivered 300+ projects to businesses of various sizes. Being a leading Amazon Web Services and Azure AI vendor, the company develops ML algorithms and chatbots. They also offer machine learning consulting. In addition to their ML services, E2Logy brings custom IoT solutions to its global customers. Location: Ahmedabad, India Established: 2005 Project budgets start at: $5,000 Key clients: McMillan Publishers, Polaris Industries, Vodafone Other, non-ML services: custom software development, web development Website: https://e2logy.com/ This was a full list of the top 30 machine learning consulting companies in 2019. If you cooperated with any of the presented vendors, please do get in touch and share your story.

Top 30 Machine Learning Consulting Companies

This is a simple definition of Training Data . Machines are much faster at processing and storing knowledge compared to humans. But how can one leverage their speed to create intelligent machines? The answer to this question — make them feed on relevant data. This is also referred to as . Training data Machine learning models are not too different from a human child. When a child observes a new object, say for example a dog and receives constant feedback from its environment, the child is able to learn this new piece of knowledge. Machines too can learn when they see enough relevant data. Using this you can model algorithms to find relationships, detect patterns, understand complex problems and make decisions. Eventually, the quality, variety, and quantity of your training data determine the success of your machine learning models. The form and content of the training data often referred to as labeled or human labeled data or ground truth dataset is designed for to train specific ML models with an end application in perspective. Here, from a few examples of labeled images to train various types of computer vision models. Lane detection for autonomous driving 2. Facial features recognition 3. Pixel level scene understanding Why Training Data matters? Training Data is nothing but enriched or labeled data you need to train your models. You might just need to collect more of it to sharpen your model accuracy. But, the chances of using your data is pretty low because, as you build a great model you need great . training data at scale Publicly available datasets are unorganized and semantically difficult to classify into very specialized classes automatically (rain at night?, players in soccer uniform?, top view shots of images?) The only way is to go over them all and select manually. How to collect Training Data? And, we could be a good partner in your journey just after all we annotated millions of images a day for some of the world’s most innovative companies. Whether it’s bounding boxes, dots, semantic segmentation or any sorts of shape, we can help you with high precision and recall value. collect high-quality training data What kind of data you want us to label? Here are some use cases we do, for autonomous vehicles, drones, agriculture, satellite imagery, video surveillance and sports analytics. Image Annotation We also support all image annotation types, 2D bounding boxes Polygonal Segmentation 3D boxes/cuboids Line annotation Landmark/Point annotation Semantic segmentation 3D point cloud annotation. (coming soon, in April 2018) Training Data FAQs What is Training Data? Training Data is labeled data used to train your machine learning algorithms and increase accuracy. What is a Test set? Every machine learning model needs to be tested in the real world to measure how robust its predictions are. This is data that it has never seen before. Just as a student comes across fresh problems while in an exam, models too, need to be similarly challenged so as to evaluate their performance. What is Validation data? While training a model on a particular dataset, we need to ensure that it does not overfit on that data distribution. Thus, the annotated data which we feed into the model is split into training and validation data. This ensures that the learning of the machine learning model is generalized across the dataset. How should you split up the dataset into test and training sets? Every dataset is unique in terms of its content. With a fair bit of domain knowledge, one should decide how to split their annotated dataset into train and test pairs. The ratio of the split is usually around an (or) depending on how stringently you wish to test the performance of your models. 80:30 75:25 How much training data is enough? Every domain has different algorithms and different kinds of data that it requires. But, the general consensus within the machine learning community is that . more the data, the better off you are creating a robust model How can I get free training data? There are numerous domains online where you can find training datasets. A lot of research groups also share the they have collected with the rest of the community to further machine learning research in a particular direction. labeled image datasets What is the difference between training data and big data? With the widespread adoption of technology, it is now become comparatively easier to collect vast amounts of data. Such a drastic change in the volume, variety, and veracity of data has been termed by the community as . Once you annotate and enrich this data, it can be used as training data for your algorithms. Big Data Difference between training data and test data in Machine learning Training data, as we mentioned above, is labeled data used to teach AI models (or) machine learning algorithms. Whereas, the is the sample of data used to provide an unbiased evaluation of a final model fit on the training dataset. Test dataset _Read writing about Training Data in Hacker Noon. how hackers start their afternoons._hackernoon.com Training Data - Hacker Noon

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