Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS
- Length: 241 pages
- Publication Date: 2020-12-07
Machine Learning With Python: The Step-By-Step Practical Guide to Grasp Machine Learning, Build Algorithms with Python and Become a Data Scientist
- Length: 114 pages
- Publication Date: 2020-11-22
Data-Driven Computational Neuroscience: Machine Learning and Statistical Models
- Length: 700 pages
- Publication Date: 2020-11-26
Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects
- Length: 726 pages
- Publication Date: 2020-12-15
Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible Python machine learning and extreme gradient boosting with Python
- Length: 243 pages
- Publication Date: 2020-11-10
Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques, 2nd Edition
- Length: 612 pages
- Publication Date: 2020-09-18
Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers
- Length: 323 pages
- Publication Date: 2020-12-06
Python – 2 Bundle in 1: A Guide to Master Python for Beginners and Machine Learning for Beginners, Plus Python Programming and Data Analysis
- Length: 332 pages
- Publication Date: 2020-11-10
The Big R-Book: From Data Science to Learning Machines and Big Data
- Length: 928 pages
- Publication Date: 2020-10-27