Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
- Length: 135 pages
- Publication Date: 2020-12-05
Fundamentals of Machine Learning
- Length: 304 pages
- Publication Date: 2019-12-11
Machine Learning in Social Networks: Embedding Nodes, Edges, Communities, and Graphs
- Length: 112 pages
- Publication Date: 2021-01-04
Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and Industry
by Isaiah Hull
- Length: 368 pages
- Publication Date: 2020-11-21
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
by Joe Penn
- Length: 114 pages
- Publication Date: 2020-11-22
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
Pragmatic AI: An Introduction to Cloud-Based Machine Learning
by Noah Gift
- Length: 256 pages
- Publication Date: 2018-08-22
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
Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with Python
by Ayush Rastogi, Luigi Saputelli, Sribharath Kainkaryam, Srimoyee Bhattacharya, Yogendra Narayan Pandey
- Length: 300 pages
- Publication Date: 2020-12-03
Python Machine Learning by Example, 3rd Edition
- Length: 526 pages
- Publication Date: 2020-10-30
Foundations of Machine Learning, 2nd Edition
- Length: 504 pages
- Publication Date: 2018-12-25