Created with Sketch.
Close
Created with Sketch.
Created with Sketch.

Machine Learning, Deep Learning & Generative AI: Understanding the Complete Modern AI in 2024: ML, DL & Gen AI
by Et Tu Code
Narrated by  Helen Green
Audiobook (Unabridged) $3.99
. Price is $3.99 . You save %.
OR

FREE with a B&N Audiobooks Subscription trial!

Title: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems, Author: Hala Nelson
Title: Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment, Author: David R. Martinez
Title: Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps, Author: Valliappa Lakshmanan
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
Title: The Kaggle Book: Data analysis and machine learning for competitive data science, Author: Konrad Banachewicz
Title: Grokking Machine Learning, Author: Luis Serrano
Title: Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness, Author: Evren Eryurek
Title: The Little Learner: A Straight Line to Deep Learning, Author: Daniel P. Friedman
Title: Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD, Author: Jeremy Howard
Title: TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models, Author: KC Tung
Title: TensorFlow For Dummies, Author: Matthew Scarpino
Title: Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python, Author: Sofien Kaabar
Title: Introducing MLOps: How to Scale Machine Learning in the Enterprise, Author: Mark Treveil
Title: Practical Simulations for Machine Learning: Using Synthetic Data for AI, Author: Paris Buttfield-Addison
Title: Advances in Bayesian Networks / Edition 1, Author: Josï A. Gïmez
Title: Reinforcement Learning, second edition: An Introduction, Author: Richard S. Sutton
Title: Practical Deep Reinforcement Learning with Python: Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch (English Edition), Author: Ivan Gridin
Title: Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages, Author: Tanmay Bakshi

Pagination Links