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

AI Engineering: Building Applications with Foundation Models

MATLAB Machine Learning

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

Before Machine Learning Volume 1 - Linear Algebra for A.I: The Fundamental Mathematics for Data Science and Artificial Intelligence

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

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

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

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

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

LEARN FROM SCRATCH MACHINE LEARNING WITH PYTHON GUI

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

Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications

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

Large Scale Machine Learning with Python

Prompt Engineering for Generative AI

Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection