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Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition) - Softcover
- PublisherBPB Publications
- Publication date2021
- ISBN 10 9391030432
- ISBN 13 9789391030438
- BindingPaperback
- LanguageEnglish
- Number of pages356
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Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition)
Seller: Book Deals, Tucson, AZ, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any). 1.21. Seller Inventory # 353-9391030432-vrg
Quantity: 1 available
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Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition)
Seller: Book Deals, Tucson, AZ, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers. 1.21. Seller Inventory # 353-9391030432-gdd
Quantity: 1 available
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Applied Machine Learning Solutions with Python: Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques
Seller: Vedams eBooks (P) Ltd, New Delhi, India
Seller rating 4 out of 5 stars
Soft cover. Condition: New. This book discusses how to apply machine learning to real-world problems by utilizing real-world data. In this book, you will investigate data sources, become acquainted with data pipelines, and practice how machine learning works through numerous examples and case studies. The book begins with high-level concepts and implementation (with code!) and progresses towards the real-world of ML systems. It briefly discusses various concepts of Statistics and Linear Algebra. You will learn how to formulate a problem, collect data, build a model, and tune it. You will learn about use cases for data analytics, computer vision, and natural language processing. You will also explore nonlinear architecture, thus enabling you to build models with multiple inputs and outputs. You will get trained on creating a machine learning profile, various machine learning libraries, Statistics, and FAST API. Throughout the book, you will use Python to experiment with machine learning libraries such as Tensorflow, Scikit-learn, Spacy, and FastAI. The book will help train our models on both Kaggle and our datasets. Seller Inventory # 143103
Quantity: 5 available