Ensemble Methods for Machine Learning MEAP Version 6

Ensemble Methods for Machine Learning [MEAP Version 6] Gautam Kunapuli
Chapters 1 to 9 of 10
In Ensemble Methods for Machine Learning you’ll learn to implement the most important ensemble machine learning methods from scratch. Each chapter contains a new case study, taking you hands-on with a fully functioning ensemble method for medical diagnosis, sentiment analysis, handwriting classification, and more. There’s no complex math or theory—each method is taught in a practical and visuals-first manner. Best of all, all code is provided in Jupyter notbooks for your easy experimentation! By the time you’re done, you’ll know the benefits, limitations, and practical methods of applying ensemble machine learning to real-world data, and be ready to build more explainable ML systems.
Categories:
Computers – Artificial Intelligence (AI)
Year:
2022
Edition:
MEAP Edition
Publisher:
Manning Publications / The MathWorks, Inc.
Language:
english
Pages:
320
ISBN 10:
1617297135
ISBN 13:
9781617297137
File:
172 MB