Python Machine Learning: Edition 2

Audio Engineering - Dynamic Processing

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition, Edition 2

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Edition 3

PyTorch 1.x Reinforcement Learning Cookbook: Over 60 recipes to design, develop, and deploy self-learning AI models using Python

Logic Pro X: Audio and Music Production

Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras

The Music Producer's Ultimate Guide to FL Studio 20: Create production-quality music with FL Studio

Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots

Build a Large Language Model (From Scratch)

Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)

Deep Learning with R for Beginners: Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

iPad Music: In the Studio and on Stage

R Deep Learning Projects: Master the techniques to design and develop neural network models in R

Sound Systems: Design and Optimization: Modern Techniques and Tools for Sound System Design and Alignment, Edition 3

Python: Deeper Insights into Machine Learning

The SOS Guide to Live Sound: Optimising Your Band's Live-Performance Audio

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more