Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
- Length: 350 pages
- Publication Date: 2024-02-20
Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines
- Length: 512 pages
- Publication Date: 2024-01-31
Python AI Programming: Navigating fundamentals of ML, deep learning, NLP, and reinforcement learning in practice
by Patrick J
- Length: 184 pages
- Publication Date: 2024-01-03
Synthetic Data and Generative AI
- Length: 250 pages
- Publication Date: 2024-01-25
Data Science for Web3: A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
- Length: 344 pages
- Publication Date: 2023-12-29
Neural Network Computer Vision with OpenCV 5: Build computer vision solutions using Python and DNN module
- Length: 266 pages
- Publication Date: 2023-12-30
Deep Learning for Engineers
- Length: 158 pages
- Publication Date: 2024-03-01
The Definitive Guide to Google Vertex AI: Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices
- Length: 422 pages
- Publication Date: 2023-12-29
Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner
- Length: 577 pages
- Publication Date: 2024-02-23
Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet
- Length: 370 pages
- Publication Date: 2023-12-29
The Deep Learning Architect’s Handbook: Build and deploy production-ready DL solutions leveraging the latest Python techniques
by Ee Kin Chin
- Length: 516 pages
- Publication Date: 2023-12-29