Condition: New. pp. 420.
Condition: New. pp. 420.
Published by Grantha Corp, Ocean Townshhip, NJ, 2004
ISBN 10: 0944142788 ISBN 13: 9780944142783
Language: English
Seller: Larry W Price Books, Portland, OR, U.S.A.
First Edition
Hardcover. Condition: Fine. Dust Jacket Condition: Fine. 1st Edition. 128 pp., Color Photos, Red Hardback, Gilt title, 4to, Fine in Fine DJ, 1st ed.
Published by Mapin Publishing Gp Pty Ltd, 2006
ISBN 10: 0944142788 ISBN 13: 9780944142783
Language: English
Seller: CMG Books and Art, Toronto, ON, Canada
Hardcover. Condition: New. In Publisher's Shrinkwrap. 128 pages. 116 color photographs. U.S. orders are shipped from N.Y. state.
Condition: New. pp. 420.
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
Published by Mapin Publishing Gp Pty Ltd, 2006
ISBN 10: 0944142788 ISBN 13: 9780944142783
Language: English
Seller: Powell's Bookstores Chicago, ABAA, Chicago, IL, U.S.A.
Condition: New. 2006. Hardcover. New. Dust Jacket is Fine.
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Soft cover. Condition: New. ISBN:9789357462389,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Published by Independently published, 2017
ISBN 10: 1521425299 ISBN 13: 9781521425299
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 141 pages. 8.00x5.00x0.32 inches. In Stock.
Seller: UK BOOKS STORE, London, LONDO, United Kingdom
Paperback. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Condition: New.
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Paperback. Condition: New. 1st ed. Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios.The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoreticaland practical lessons. The third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks. The final chapter contains a detailed end-to-end solution with neural networks in Pytorch.After completing Hands-on Machine Learning with Python, you will be able to implement machine learning and neural network solutions and extend them to your advantage. What You'll LearnReview data structures in NumPy and Pandas Demonstrate machine learning techniques and algorithmUnderstand supervised learning and unsupervised learning Examine convolutional neural networks and Recurrent neural networksGet acquainted with scikit-learn and PyTorchPredict sequences in recurrent neural networks and long short term memory Who This Book Is ForData scientists, machine learning engineers, and software professionals with basic skills in Python programming.
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Universal Beauty: Exploring Cultures, Trends, and Traditions. Book.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st ed. edition NO-PA16APR2015-KAP.
ISBN 10: 1484283902 ISBN 13: 9781484283905
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
First Edition
Paperback. Condition: New. 1st ed. Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios.The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoreticaland practical lessons. The third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks. The final chapter contains a detailed end-to-end solution with neural networks in Pytorch.After completing Hands-on Machine Learning with Python, you will be able to implement machine learning and neural network solutions and extend them to your advantage. What You'll LearnReview data structures in NumPy and Pandas Demonstrate machine learning techniques and algorithmUnderstand supervised learning and unsupervised learning Examine convolutional neural networks and Recurrent neural networksGet acquainted with scikit-learn and PyTorchPredict sequences in recurrent neural networks and long short term memory Who This Book Is ForData scientists, machine learning engineers, and software professionals with basic skills in Python programming.
Seller: ALLBOOKS1, Direk, SA, Australia
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 26.41
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 75.93
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
First Edition
Paperback. Condition: New. 1st ed. Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios.The book is divided into three sections. The first section introduces you to number crunching and data analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and visualizations. The second section covers machine learning basics and Scikit-learn library. It also explains supervised learning, unsupervised learning, implementation, and classification of regression algorithms, and ensemble learning methods in an easy manner with theoreticaland practical lessons. The third section explains complex neural network architectures with details on internal working and implementation of convolutional neural networks. The final chapter contains a detailed end-to-end solution with neural networks in Pytorch.After completing Hands-on Machine Learning with Python, you will be able to implement machine learning and neural network solutions and extend them to your advantage. What You'll LearnReview data structures in NumPy and Pandas Demonstrate machine learning techniques and algorithmUnderstand supervised learning and unsupervised learning Examine convolutional neural networks and Recurrent neural networksGet acquainted with scikit-learn and PyTorchPredict sequences in recurrent neural networks and long short term memory Who This Book Is ForData scientists, machine learning engineers, and software professionals with basic skills in Python programming.