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Destination, rates & speedsSeller: SecondSale, Montgomery, IL, U.S.A.
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00083530636
Quantity: 1 available
Seller: SecondSale, Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00082792117
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Seller: INDOO, Avenel, NJ, U.S.A.
Condition: As New. Unread copy in mint condition. Seller Inventory # SS9781617295355
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Seller: INDOO, Avenel, NJ, U.S.A.
Condition: New. Brand New. Seller Inventory # 9781617295355
Quantity: Over 20 available
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # GOR011395797
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Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condition: new. Paperback. To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interestingand lucrative!careers in some of todays hottest programming fields. Key Features 2D and 3D vector math Matrices and linear transformations Core concepts from linear algebra Calculus with one or more variables Algorithms for regression, classification, and clustering Interesting real-world examples Written for programmers with solid algebra skills (even if they need some dusting off). No formal coursework in linear algebra or calculus is required. About the technology Most businesses realize they need to apply data science and effective machine learning to gain and maintain a competitive edge. To build these applications, they need developers comfortable writing code and using tools steeped in statistics, linear algebra, and calculus. Math also plays an integral role in other modern applications like game development, computer graphics and animation, image and signal processing, pricing engines, and stock market analysis. Paul Orland is CEO of Tachyus, a Silicon Valley startup building predictive analytics software to optimize energy production in the oil and gas industry. As founding CTO, he led the engineering team to productize hybrid machine learning and physics models, distributed optimization algorithms, and custom web-based data visualizations. He has a B.S. in mathematics from Yale University and a M.S. in physics from the University of Washington. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781617295355
Quantity: 1 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9781617295355_new
Quantity: 2 available
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 655 pages. 9.25x7.25x1.25 inches. In Stock. Seller Inventory # __1617295353
Quantity: 2 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26376906584
Quantity: 1 available
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # PB-9781617295355
Quantity: 15 available