Data Theorem

 In the Software Engineering world, if you are applying for a Senior Engineer/Lead/Architect or a more senior role, System Design is the most sought-after skill

How to Prepare for System Design Interview in 2024?

Explore how 160 theorems, including correctness proofs for CDLLs, validate Rust's Dancing Links implementation using ACL2’s automated verification tools.

Proving Theorems for Rust’s Dancing Links in ACL2

Surabhi Gupta shares her journey to secure a position at Microsoft after spending over four fulfilling years at a startup. 

Tips and Insights From a Successful SDE-2 Application: Microsoft Engineer Interview (Offer 2024)

In this paper, researchers describe an implementation of the Dancing Links optimization in the Rust programming language.

Verification of a Rust Implementation of Knuth’s Dancing Links Using ACL2: Dancing Links in Rust

3/11/2024: Top 5 stories on the HackerNoon homepage!

The Noonification: Data Science: The Cental Limit Theorem Explained (3/11/2024)

Read how to design, build, and deploy a serverless Pastebin clone using Cloudflare Worker and KV to upload and share text through links.

How to Build Your Own Serverless Pastebin Tool

The Impact of Big Data In Business, Past and Future

The emergence of technology is playing an inevitable role in business. It’s drastically transforming the way people work together in an organization. Both these technologies are revolutionizing every aspect of our life.  These technologies are creating a culture where the collaboration of IT leaders and businesses results in realizing values from all generated data. 

How Big Data and Artificial Intelligence Will Go Hand in Hand?

Feedforward neural networks are also known as Multi-layered Network of Neurons (MLN). These networks of models are called feedforward because the information only travels forward in the neural network, through the input nodes then through the hidden layers (single or many layers) and finally through the output nodes. In MLN there are no feedback connections such that the output of the network is fed back into itself. These networks are represented by a combination of many simpler models(sigmoid neurons).

Deep Learning: Feedforward Neural Networks Explained

Disclaimer: I no longer work at Facebook. These opinions are mine alone.

Reflecting on Building Real-time APIs at Facebook

Why <a href="https://hackernoon.com/tagged/probability" target="_blank">Probability</a>? Why can’t we leave <a href="https://hackernoon.com/tagged/linear-regression" target="_blank">linear regression</a> just the way it is! Why to make it difficult? All these question were in my mind, when i was heading through this topic but as we know when there is loads of data suddenly randomness appears, she calls her sister probability with her. When there is probability we can’t leave Gaussian alone. All these words are so heavy that i will make sure to put some magic and make it easy for you. Let’s dive together.

What happens when Probability defines Linear Regression

How will recently introduced autonomous smart contracts impact blockchain technology?

Are Autonomous Smart Contracts the Future of Blockchain Technology?

In distributed systems, availability and consistency are the most basic prevailing issues, for which reason their relationship has been the subject of extensive study. The well-known CAP theorem defines their relationship as mutually exclusive in large-scale distributed environments, where the third factor in such systems, partition tolerance, cannot be treated as a variable. In an attempt to circumvent these issues, the Turing-award winning Paxos Protocol has since been proposed to maximize the efficiency of availability and consistency in such systems. To further address issues prevalent in this the Paxos algorithm, the ZAB Protocol was subsequently developed from an original algorithm, going well beyond basic optimization to improve on its predecessor.

Exploring Distributed System Theory: Availability and Consistency

This sampling distribution (more or less) follows a normal distribution! This is the Central Limit theorem. A normal distribution has a number of properties 

Data Science: The Cental Limit Theorem Explained

In 1906, Henri Poincare, in "The Milky Way and Theory of Gases," used "dark matter" or “matière obscure” in French in discussing Kelvin’s work.

What Is Dark Matter? Shining a Light on Its History and Evidence   

3/13/2024: Trending stories on Hackernoon today!

The TechBeat: Effective Workarounds for SQL-Style Joins in Elasticsearch (3/13/2024)

Learn how to solve a playing chess problem with Bayes’ Theorem and Decision Tree in this article by Dávid Natingga, a data scientist with a master’s in engineering in 2014 from Imperial College London, specializing in artificial intelligence.

Solving a Problem with Bayes’ Theorem and Decision Tree

Learn everything you need to know about Ai Trends via these 139 free HackerNoon stories.

139 Stories To Learn About Ai Trends

What is a data scientist? The job has been around for hundreds of years, though as you may suspect things have changed significantly, especially over the last century. In the 1740s Bayes’ Theorem posited that when new data was added to an existing belief, the result was a new and improved belief. This is the basis for the scientific method, by which scientists discover better and better explanations for things. When applied to data, the scientific method creates data science, in which data scientists can use the piles of data people are generating to discover new and better predictions about the future.

The People and Tech Behind Data Science

CAP theorem isn't about picking two. Learn what Consistency, Availability, and Partition Tolerance actually mean and how production systems handle trade-offs.

CAP Theorem Explained, Part 1: The Problem With “Pick Two”

The CAP Theorem is a fundamental limitation in the world of distributed systems.

CAP Theorem - 5 Essential Questions for Designing a Distributed Architecture

Explore our detailed theoretical analysis of fair data pruning for binary classification using a mixture of Gaussians

Theoretical Analysis of Fair Data Pruning with Gaussian Mixtures

MaCoDE turns masked language modeling into a powerful method for synthetic tabular data generation with high ML utility and privacy control.

From NLP to Data Synthesis: The Surprising Power of Masked Language Models

Solving the Missing Data Problem with Masked Language Models

Data Theorem is a leading provider in modern application security

DATA THEOREM

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Data Theorem's stories on HackerNoon

How to Prepare for System Design Interview in 2024?

Proving Theorems for Rust’s Dancing Links in ACL2

Tips and Insights From a Successful SDE-2 Application: Microsoft Engineer Interview (Offer 2024)

Verification of a Rust Implementation of Knuth’s Dancing Links Using ACL2: Dancing Links in Rust

The Noonification: Data Science: The Cental Limit Theorem Explained (3/11/2024)

How to Build Your Own Serverless Pastebin Tool

The Impact of Big Data In Business, Past and Future

How Big Data and Artificial Intelligence Will Go Hand in Hand?

Deep Learning: Feedforward Neural Networks Explained

Reflecting on Building Real-time APIs at Facebook

What happens when Probability defines Linear Regression

Are Autonomous Smart Contracts the Future of Blockchain Technology?

Exploring Distributed System Theory: Availability and Consistency

Data Science: The Cental Limit Theorem Explained

What Is Dark Matter? Shining a Light on Its History and Evidence

The TechBeat: Effective Workarounds for SQL-Style Joins in Elasticsearch (3/13/2024)

Solving a Problem with Bayes’ Theorem and Decision Tree

139 Stories To Learn About Ai Trends

The People and Tech Behind Data Science

CAP Theorem Explained, Part 1: The Problem With “Pick Two”

CAP Theorem - 5 Essential Questions for Designing a Distributed Architecture

Theoretical Analysis of Fair Data Pruning with Gaussian Mixtures

From NLP to Data Synthesis: The Surprising Power of Masked Language Models

Solving the Missing Data Problem with Masked Language Models

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