Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
- Length: 135 pages
- Publication Date: 2020-12-05
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
- 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
- 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