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Image source: Wikipedia Introduction This post is about how not to be the Halley’s comet Data Scientist i.e. to keep yourselves motivated in your Data… Read More »The Halley’s comet Data Scientist

Data science has become an integral part of many modern projects and businesses, with an increasing number of decisions now based on data analysis. The… Read More »Intro to Data Science for Managers [Mindmap]

I am halfway through my journey of being enough Mathematically literate to understand and work comfortably with Data Science books, posts, articles and journals. I… Read More »Learning Mathematics for Data Science

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »29 Statistical Concepts Explained in Simple English – Part 3

Tokenomics is the economy of this new world. This is a no-holds-barred, in-depth exploration of the way in which we can participate in the blockchain… Read More »Playing by the Rules

Advanced Deep Learning with Keras   A comprehensive guide to advanced deep learning techniques, including Autoencoders, GANs, VAEs, and Deep Reinforcement Learning, that drive today’s… Read More »Best books on Artificial Intelligence and Deep Learning for October 2018

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »20 Cheat Sheets: Python, ML, Data Science, R, and More

This was posted as a question on StackExchange. The state of the art of non-linearity is to use rectified linear units (ReLU) instead of sigmoid… Read More »Deep Learning Networks: Advantages of ReLU over Sigmoid Function

What is NLP? Natural Language Processing (NLP) can be simply defined as teaching an algorithm to read and analyze human (natural) languages just like the… Read More »Getting Started with NLP: Simple Topic Modeling in R (Part 1)

This is a joint post with Inbar Naor. Originally published at engineering.taboola.com. As deep neural networks (DNN) become more powerful, their complexity increases. This complexity introduces new… Read More »Using Uncertainty to Interpret your Model