Frequency Machine

One of the trickiest situations in machine learning is when you have to deal with datasets coming from different time scales.

Merging Datasets from Different Timescales

Not everyone has the technical-knowhow to navigate the highly volatile crypto terrain. There are a lot of moving pieces. It will surprise you to know that trading, staking, mining, and hodling are not the only sure way to earn crypto income. In 2020, we got introduced to yield farming and the variety of ways to utilize DeFi’s money markets. Notably, there is no means to know for sure which crypto trend would drive crypto in 2021. The key takeaway from this is that we are yet to scratch the surface of the possibilities embedded in crypto and blockchain technology, even 11 years after the famous introduction of Bitcoin.

"The most successful products are those with a simple and consistent framework" - Marco Mottana

Explore how proxies power AI—from web scraping to automation—helping bots gather data, avoid bans, and operate smarter, faster, and globally.

AI and Proxies: Are They Connected?

Explore the intricacies of calculating median statistics in sliding windows, a vital tool for real-time data analysis in diverse fields.

Advanced Algorithms: Median in Sliding Window

Discover the benefits of preventive maintenance services and learn how to choose the right type to prevent costly downtime.

When and Why You Should Opt for Preventive Maintenance

To view the code, training visualizations, and more information about the python example at the end of this post, visit the Comet project page.

How To Apply Machine Learning And Deep Learning Methods to Audio Analysis

Both blockchain and A.I. are at the cutting edge of technology. Blockchain is essentially a distributed ledger, that stores data in an <strong>encrypted, nigh immutable format</strong>. Whereas A.I. is a term used to describe a machine capable of <strong>performing tasks that seemingly require intelligence</strong>.

How to Actually Combine AI and Blockchain in One Platform

2024 adtech: commerce-focused ads, AI optimization, first-party data, mobile data, cross-media campaigns, Google's evaluation shift, ad automation.

7 Emerging Adtech Trends in 2024 That Will Change the Industry

Explaining real world applications and the philosophy of statistical variance through finance, investing, and gambling.

Variance is More Than Just A Statistician's Buzzword

What are the best product development principles and processes for building a better internet? Those who design, decide. I may have trained an AI to host this podcast — but the tech industry insights inside are all 100% human. Scroll down and tune in for a far-reaching conversation with "me" — Natasha's AI alter-ego — and seven of hackernoon.com's top contributors. 

Another AI-Hosted Podcast: The Future of Tech Belongs To Its Builders

Have you ever considered how much data exists in our world? Data growth has been immense since the creation of the Internet and has only accelerated in the last two decades. Today the Internet hosts an estimated 2 billion websites for 4.2 billion active users. 

Machine Learning Trends Businesses Should Know In 2020

Wrestling With Blockchain Scalability

A new agent-based simulator models the 2010 Flash Crash and mini crashes, offering insights into market dynamics at millisecond frequency.

A High-Frequency Model for Analyzing the 2010 Flash Crash and Mini Crash Events

New study reveals why AI models underperform on rare concepts using the “Let It Wag!” dataset of long-tail categories in classification and generation tasks.


‘Let It Wag!’ and the Limits of Machine Learning on Rare Concepts

Python tutorial describing process to design a custom bird vocalization classifier using audio-to-mel-spectrogram conversion and Google's EfficientNet B0 model.

Machine Learning for the Birds: Building Your Own Bird Vocalization Classifier

Explore how AI and ML techniques are revolutionizing fraud detection across industries, improving accuracy, adaptability, and real-time threat response.

Fraud Detection Using Artificial Intelligence and Machine Learning

We train a machine-learning classifier to predict whether a transcript snippet m comes from FNC or CNN/MSNBC. 

Media Slant: How We Classified Transcripts by TV Source Using Machine Learning

ClassBD's combined time and frequency domain filters outperform standalone filters in fault diagnosis, with performance varying by dataset.

Researchers Discover Optimal Combination of Time and Frequency Domain Filters in ClassBD

ClassBD boosts machine learning classifiers' performance in fault diagnosis, improving accuracy by enhancing feature extraction and outperforming raw models.

How ClassBD Helps Machine Learning Models Detect Faults More Accurately

Researchers introduce a novel framework utilizing time and frequency domain filters with quadratic convolutional neural networks to optimize signal recovery.

Researchers Propose Novel Framework Combining Time and Frequency Domain Filters

Discover ClassBD: A novel AI-based framework integrating blind deconvolution with deep learning for accurate bearing fault diagnosis under heavy noise.


AI and Signal Processing Unite to Diagnose Machine Faults Faster

Exploring human-machine social systems to address challenges like misinformation, market crashes, and road safety for a better, connected future.

A Roadmap for Addressing Critical Challenges in Human-Machine Social Systems

Explore the dynamics of human-machine interactions, highlighting behavioral patterns, cognitive biases, and the evolving social roles of autonomous machines.

Human-Machine Interactions Reveal Behavioral Patterns, Biases, and Autonomous Roles

AI policy must prioritize diversity, resilience, and human-machine co-evolution to prevent systemic risks and adapt to cultural and societal changes.

Should All Machines be Equal?

The average person spends 53 days and visits 28 websites to plan a trip

FREQUENCY MACHINE

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FREQUENCY MACHINE

frequencymachine.com

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Since 2018

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