Machine Learning With Python For Everyone | By Mark Fenner | 1st Edition | Pearson Publication ( English Medium )

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Machine Learning With Python For Everyone | By Mark Fenner  | 1st Edition | Pearson Publication ( English Medium ).

Students are crushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine learning with Python for everyone brings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently.Reflecting 20 years of experience teaching non-specialists, the author teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, the book presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical “code-alongs,” and easy-to-understand images -- focusing on Mathematics only where it’s necessary to make connection and deepen insight. table of Contents: Chapter 

1: Let’s discuss learning Chapter 2: predicting categories: getting started with classification Chapter 3: predicting numerical values: getting started with regression Chapter 4: evaluating and comparing learners Chapter 5: evaluating classifiers Chapter 6: evaluating Regressors Chapter 7: more classification methods Chapter 8: more regression methods Chapter 9: manual feature engineering: manipulating data for fun and Profit Chapter 10: models that engineer features for us Chapter 11: feature engineering for domains: domain-specific learning online chapters Chapter 12: tuning hyperparameters and pipelines Chapter 13: combining learners Chapter 14: connecting, extensions, and further

About the Author

Dr. Mark Fenner, owner of Fenner Training and Consulting, LLC, has taught computing and mathematics to diverse adult audiences since 1999, and holds a PhD in computer science. His research has included design, implementation, and performance of machine learning and numerical algorithms; developing learning systems to detect user anomalies; and probabilistic modeling of protein function.

Search Key - Machine Learning With Python For Everyone | By Mark Fenner  | 1st Edition | Pearson Publication ( English Medium ), Publisher ‏ : ‎ Pearson Education; First edition, Language ‏ : ‎ English, Paperback ‏ : ‎ 504 pages, ISBN-10 ‏ : ‎ 9353944902, Machine Learning With Python For Everyone, Artificial Intelligence, Electrical & Electronic Engineering, Electrical Engineering, Electronic Engineering, Engineering, Engineering Book, Higher Studies, College Book, University Book, Higher Education.

Product Details

SKU, Publisher	Prs-Macn-Lrng-With-Pthn-For-Evryne-(E)
Publisher	Pearson Publication
Author, Edition	Mark Fenner, 1st Edition, English Medium
Binding, Type	Paperback, New
No. of Pages	504

Product Description

Machine Learning With Python For Everyone | By Mark Fenner  | 1st Edition | Pearson Publication ( English Medium ).

Students are crushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine learning with Python for everyone brings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently.Reflecting 20 years of experience teaching non-specialists, the author teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, the book presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical “code-alongs,” and easy-to-understand images -- focusing on Mathematics only where it’s necessary to make connection and deepen insight. table of Contents: Chapter 

1: Let’s discuss learning Chapter 2: predicting categories: getting started with classification Chapter 3: predicting numerical values: getting started with regression Chapter 4: evaluating and comparing learners Chapter 5: evaluating classifiers Chapter 6: evaluating Regressors Chapter 7: more classification methods Chapter 8: more regression methods Chapter 9: manual feature engineering: manipulating data for fun and Profit Chapter 10: models that engineer features for us Chapter 11: feature engineering for domains: domain-specific learning online chapters Chapter 12: tuning hyperparameters and pipelines Chapter 13: combining learners Chapter 14: connecting, extensions, and further

About the Author

Dr. Mark Fenner, owner of Fenner Training and Consulting, LLC, has taught computing and mathematics to diverse adult audiences since 1999, and holds a PhD in computer science. His research has included design, implementation, and performance of machine learning and numerical algorithms; developing learning systems to detect user anomalies; and probabilistic modeling of protein function.

Search Key - Machine Learning With Python For Everyone | By Mark Fenner  | 1st Edition | Pearson Publication ( English Medium ), Publisher ‏ : ‎ Pearson Education; First edition, Language ‏ : ‎ English, Paperback ‏ : ‎ 504 pages, ISBN-10 ‏ : ‎ 9353944902, Machine Learning With Python For Everyone, Artificial Intelligence, Electrical & Electronic Engineering, Electrical Engineering, Electronic Engineering, Engineering, Engineering Book, Higher Studies, College Book, University Book, Higher Education.

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