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Automated Machine Learning - Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

My new book, 'Automated Machine Learning' is out. Learn Hyperparameter Optimization, Neural Architecture Search, & Algorithm Selection w/ Hyperscalers Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a…

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Apache Spark Deep Learning Cookbook - Access to 80 enriched recipes that streamline deep learning in a distributed environment with Apache Spark

Deep learning with Apache Spark is a topic of great interest. Congratulations to my friend Ahmed Sherif on publication of his new book "Apache Spark Deep Learning Cookbook" which provides easily accessible recipes to get started with Deep Learning using Apache Spark. Following is my Foreword for the manuscript, loved being technical reviewer of the…

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The five Tribes of Machine Learning, and other algorithmic tales

Pedro Domingos' The Master Algorithm - How the Quest for the Ultimate Learning Machine Will Remake Our World is an interesting and thought provoking book about the state of machine learning, data science, and artificial intelligence.   Categorizing,  classifying and clearly representing the ideas around any rapidly developing/evolving field is hard job. Machine learning with its…

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[Book Review] Angular JS Services

Angular JS services by Jim Levin is a delightful addition to a topic which isn’t discussed as much as the framework itself. Angular, as a powerful structural framework for dynamic web apps has been topic of various well publicized texts. However the services, which provide the core of backend functionality, don’t get much lime-light. c’est…

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Machine Learning - On the Art and Science of Algorithms with Peter Flach

Over a decade ago, Peter Flach of Bristol University wrote a paper on the topic of "On the state of the art in machine learning: A personal review" in which he reviewed several, then recent books, related to developments in machine learning. This included Pat Langley’s Elements of Machine Learning (Morgan Kaufmann), Tom Mitchell’s Machine Learning (McGraw-Hill), and…

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Hacking Web Apps - Book Review

Hacking Web Apps - Detecting and Preventing Web Application Security Problems - by Mike Shema is a contemporary guide on web application security. Mike's labor of love, as he likes to call this book, contains very relevant and distilled information on modern day web application attacks. The book is different from your garden variety web-application-top-n-style…

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Causality, Probability, and Time - A Temporo-Philosophical Primer to Causal Inference with Case Studies

Causality, Probability and Time by Dr. Samantha Kelinberg is a whirlwind yet original journey of the interdisciplinary study of probabilistic temporal logic and causal inference. Probabilistic causation is a fairly demanding area of study which studies the relationship between cause and effect using the tools of probability theory. Judea Pearl, in his seminal text "Causality:…

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