29 Statistical Concepts Explained in Simple English – Part 3
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
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Playing by the Rules
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 economy. The followi...
20 Cheat Sheets: Python, ML, Data Science, R, and More
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Deep Learning Networks: Advantages of ReLU over Sigmoid Function
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 function in deep neural n...
Using Uncertainty to Interpret your Model
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. T...
The Death of the Data Scientist
In 2018 Fast Company declared the Data Scientist the best job for the third year in a row, which I wholeheartedly agree with (besides the Director of Fun at the York Nati...
8 Real-Life Applications of Artificial Intelligence in eCommerce
Amazon is every online retailer’s forbidding nightmare. Last year, it dominated 44 percent of the US eCommerce market and about 4 percent of all domestic retail sales...
Digital Transformation Law #6: It’s About Monetizing the Pain
Will I ever get this digital transformation thing right? The more work I do with clients on their digital transformation initiatives, the more I realize how much I don’...
The Best Kept Secret in Data Science
Big Data is a big pain. Humans are generating data five times faster than the rate of economic growth. Each day we create 2.5 Exabytes of new data, ninety percent of whic...
Machine Learning with C++ – Polynomial regression with Eigen
Hello, this is my third article about how to use modern C++ for solving machine learning problems. This time I will show how to make a model for polynomial regression pro...