Hands-On Simulation Modeling with Python: Develop simulation models to get accurate results and enhance decision-making processes

Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale

MATLAB for Machine Learning

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

Hands-On Simulation Modeling with Python: Develop simulation models for improved efficiency and precision in the decision-making process, Edition 2

Keras 2.x Projects: 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles

Python Machine Learning Cookbook: Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd Edition, Edition 2

Hands-On Machine Learning on Google Cloud Platform: Implementing smart and efficient analytics using Cloud ML Engine