Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python
- Length: 432 pages
- Publication Date: 2020-11-10
Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python
- Length: 264 pages
- Publication Date: 2020-08-21
Big Data Analysis Using Machine Learning for Social Scientists and Criminologists
- Length: 311 pages
- Publication Date: 2019-07-01
AI and Machine Learning for Coders: A Programmer’s Guide to Artificial Intelligence
- Length: 390 pages
- Publication Date: 2020-10-27
Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling
- Length: 286 pages
- Publication Date: 2020-11-02
Deploying AI in the Enterprise: IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing
- Length: 331 pages
- Publication Date: 2020-10-15
Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
- Length: 288 pages
- Publication Date: 2020-10-21
Hacker’s Guide to Neural Networks in JavaScript: Beginners Guide to Understanding Machine Learning with TensorFlow.js in the Browser and Node.JS
- Length: 182 pages
- Publication Date: 2019-09-30