This article comes from the blog of the website KNIME. Below is a summary. The highest reduction ratio without performance degradation is obtained by analyzing the… Read More »Seven Techniques for Data Dimensionality Reduction
I finished the initial version of my second book Automated Data Science and Artificial General Intelligence. It is version 1.0 to get things started. I… Read More »New Book: Automated Data Science and Artificial General Intelligence
I recently had the great opportunity to keynote the Analytics Institute of Ireland’s annual conference. The event was marvelous! Over 500 attendees, outstanding presentations from… Read More »Dean of Big Data Driving the Snakes of Data Science Out of Ireland
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
