Cybersecurity Analytics
- Length: 356 pages
- Publication Date: 2019-11-20
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
by Corey Wade
- 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
Deep Machine Learning: 3 in 1- A Comprehensive Beginner Developer Guide + Complete Tips and Tricks + Advanced Deep Machine Learning Techniques and Methods to learning Artificial Intelligence
by Joe Grant
- Length: 198 pages
- Publication Date: 2020-11-11
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
Smarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects
- Length: 304 pages
- Publication Date: 2020-06-03
Learn Python: This Book Includes: Crash Course and Coding. A Guide to Master Python, Data Science and Analysis. Advanced Methods to Learn How to Create Codes with This Machine Learning Tool
by Eric Wall
- Length: 215 pages
- Publication Date: 2020-11-03
Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP, 2nd Edition
- Length: 1040 pages
- Publication Date: 2020-02-05