Next-Generation Machine Learning with Spark 
by Butch Quinto
Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark...
Price: $26.41 | Publisher: Apress | Release: 2020
Building Machine Learning Powered Applications
by Emmanuel Ameisen
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers - including experienced practitioners and novices alike - will learn the tools, best practices, and challenges involv...
Price: $39.49 | Publisher: O'Reilly Media | Release: 2020
Machine Learning with R, the tidyverse, and mlr
by Hefin I. Rhys
Machine learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like th...
Price: $39.99 | Publisher: Manning | Release: 2020
by Paolo Perrotta
Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add la...
Price: $39.99 | Publisher: The Pragmatic Programmers | Release: 2020
Python Feature Engineering Cookbook
by Soledad Galli
Feature engineering is invaluable for developing and enriching your machine learning models. In this cookbook, you will work with the best tools to streamline your feature engineering pipelines and techniques and simplify and improve the quality of your code.Using Python libraries such as pandas, scikit-learn, Featuretools, and Feature-engine, you'll learn how to work with both continuous and discrete ...
Price: $31.83 | Publisher: Packt Publishing | Release: 2020
Python Machine Learning By Example, 3rd Edition
by Yuxi (Hayden) Liu
Python Machine Learning By Example, 3rd Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting wit...
Price: $34.99 | Publisher: Packt Publishing | Release: 2020
Artificial Intelligence By Example, 2nd Edition
by Denis Rothman
Artificial intelligence (AI) has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples.This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from comp...
Price: $39.99 | Publisher: Packt Publishing | Release: 2020
Machine Learning for Algorithmic Trading, 2nd Edition
by Stefan Jansen
The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This thoroughly revised and expanded 2nd edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models.This edition introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model ...
Price: $39.99 | Publisher: Packt Publishing | Release: 2020
FREE EBOOK - Statistics with Julia
by Hayden Klok, Yoni Nazarathy
Ccurrently many of Julia's users are hard-core developers that contribute to the language's standard libraries, and to the extensive package eco-system that surrounds it. Therefore, much of the Julia material available at present is aimed at other developers rather than end users. This is where our book comes in, as it has been written with the end-user in mind. The code examples have been deliber...
Publisher: Self-publishing | Release: 2020
FREE EBOOK - Tensorflow 2 Tutorial
by Ren Zhang
TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.This book is a somewhat intermediate-level introduction to Tensorflow 2. We will eventually cover everything tf.keras, but no so fast until we implemented them with raw tffirst....
Publisher: Self-publishing | Release: 2020