Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition
- Length: 382 pages
- Publication Date: 2019-02-28
Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks
- Length: 736 pages
- Publication Date: 2022-02-11
Machine Learning and Optimization Models for Optimization in Cloud
- Length: 232 pages
- Publication Date: 2022-02-28
Advanced Data Mining Tools and Methods for Social Computing
- Length: 292 pages
- Publication Date: 2022-02-03
Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
- Length: 374 pages
- Publication Date: 2022-01-14
Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions
- Length: 314 pages
- Publication Date: 2021-10-15
A Practical Approach for Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python
- Length: 280 pages
- Publication Date: 2019-06-07
Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python
- Length: 340 pages
- Publication Date: 2022-02-04
Python Architecture Patterns: Master API design, event-driven structures, and package management in Python
- Length: 594 pages
- Publication Date: 2022-01-12
Natural Computing with Python: Learn to implement genetic and evolutionary algorithms to solve problems in a pythonic way
- Length: 278 pages
- Publication Date: 2019-06-21
The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting
- Length: 440 pages
- Publication Date: 2022-01-21