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

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

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

Machine Learning for Hackers: Case Studies and Algorithms to Get You Started

Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications

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

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

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

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

Forecasting Time Series Data with Facebook Prophet: Build, improve, and optimize time series forecasting models using the advanced forecasting tool

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