The Great British Baking Show: Random Forests Edition

If only machine learning could be as delicious as it is oftentimes perplexing. While learning data science concepts, I’ve found that it’s a good idea to approach it the same way as learning baking: start simple, grab the basic ingredients, and combine them together yourself one by one until you get a feel for it. APIs are a wonderful resource, but if all you know how to do is use them, it’s a bit like buying muffins and a can of frosting to make cupcakes and calling yourself a baker. Welcome to the tent.

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Embold: Static Code Analyzer uses AI to help Developers analyze and improve their code

Embold is a simple but efficient AI-based static code analyzer that can help developers analyze and improve their code. The feature that truly makes it stand apart is its ability to analyze source code across four dimensions: code issues, design issues, metrics and duplication, and surface issues that impact stability, robustness, security, and maintainability.

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Cato Networks introduces a new AI System to eliminate false positives in Security Systems

Cato Networks Ltd. has recently introduced a machine learning system that combines threat intelligence and real-time network information, eliminating the false positive (FP) alerts, thereby reducing the cybersecurity team’s work. 

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Intel to acquire SigOpt, an AI Hyperparameter Optimization Platform

Intel has confirmed that it is buying SigOpt Inc., an artificial intelligence startup developing software platforms to optimize AI models. Several private firms and research groups such as OpenAI use these software platforms to boost their AI models’ performance.

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Microsoft introduces Lobe: A free Machine Learning application that allows you to create AI Models without coding

Microsoft has released Lobe, a free desktop application that lets Windows and Mac users create customized AI models without writing any code. Several customers are already using the app for tracking tourist activity around coral reefs, the company said.

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Google introduces new version of Google Analytics powered by Machine Learning

Google comes up with a refresh of Google Analytics (i.e., Google Analytics 4) with new machine learning prediction features, including extra privacy controls and a streamlined interface. 

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Entropy application in the Stock Market

A lot of definitions and formulations of entropy are available. What in general is true is that entropy is used to measure information, surprise, or uncertainty regarding experiments’ possible outcomes. In particular, Shannon entropy is the one that is used most frequently in statistics and machine learning. For this reason, it’s the focus of our attention here.

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How to build a Machine Learning model to identify credit card fraud in 5 Steps

When starting a new modeling project, it is important to start with EDA in order to understand the dataset. In this case, the credit card fraud dataset from Kaggle contains 284,807 rows with 31 columns. This particular dataset contains no nulls, but note that this may not be the case when dealing with datasets in reality.

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