Machine Learning Foundations Algorithms by Rewatkar Rajendra (5 results)

- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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US$ 99.38
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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US$ 97.69
US$ 4.34 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

MACHINE LEARNING Foundations, Algorithms, and Applications
Rewatkar, Rajendra Motiramji; Arjunkar, Mrunal Ramnath; Choudhary, Vijaya
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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US$ 100.00
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Condition: New.

- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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US$ 99.99
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Paperback. Condition: new. Paperback. This book provides a comprehensive introduction to Machine Learning, covering both fundamental concepts and advanced techniques. It begins with the basics of machine learning, including supervised, unsupervised, and reinforcement learning, followed by the mathematical foundations such as linear algebra, probability, statistics, calculus, and information theory. The book then explores key machine learning algorithms including regression, classification, clustering, ensemble learning, neural networks, deep learning, CNNs, RNNs, transformers, large language models, GANs, diffusion models, reinforcement learning, and graph neural networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 105.33
US$ 48.83 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. This book provides a comprehensive introduction to Machine Learning, covering both fundamental concepts and advanced techniques. It begins with the basics of machine learning, including supervised, unsupervised, and reinforcement learning, followed by the mathematical foundations such as linear algebra, probability, statistics, calculus, and information theory. The book then explores key machine learning algorithms including regression, classification, clustering, ensemble learning, neural networks, deep learning, CNNs, RNNs, transformers, large language models, GANs, diffusion models, reinforcement learning, and graph neural networks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…