Hands On Ensemble Learning with R: A beginner’s guide to combining the power of machine learning algorithms using ensemble techniques By: Prabhanjan Narayanachar Tattar Read more
What’s New in TensorFlow 2 0: Use the new and improved features of TensorFlow to enhance machine learning and deep learning By: Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal Read more
Machine, Platform, Crowd: Harnessing Our Digital Future By: Erik Brynjolfsson, Andrew McAfee Read more
Adversarial Machine Learning By: Anthony D Joseph, Blaine Nelson, Benjamin I P Rubinstein, and 1 more Read more
Practical Machine Learning with R: Define, build, and evaluate machine learning models for real world applications By: Monicah Wambugu, Brindha Priyadarshini Jeyaraman, Ludvig Renbo Olsen Read more
Hands On Machine Learning with ML NET: Getting started with Microsoft ML NET to implement popular machine learning algorithms in C# By: Jarred Capellman Read more
Mastering Go: Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures, 2nd Edition By: Mihalis Tsoukalos Read more
Jupyter for Data Science: Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter By: Dan Toomey Read more