Sinossi
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 interesting-and lucrative!-careers in some of today's hottest programming fields.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sugli autori
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.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Math for Programmers: 3D graphics, machine learning, and simulations with Python
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paperback. Condizione: Good. Paperback. NOT Ex-library. Clean pages and tight binding. Appendices, Index. This item is in good condition. May show moderate signs of use. Previous owner's name on bottom text block. Until further notice, USPS Priority Mail only reliable option for Hawaii. Proceeds benefit the Pima County Public Library system, which serves Tucson and southern Arizona. Codice articolo 529UHD000GUP
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Math for Programmers: 3d Graphics, Machine Learning, and Simulations With Python
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Paperback. Condizione: Brand New. 655 pages. 9.25x7.25x1.25 inches. In Stock. Codice articolo zk1617295353
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Math for Programmers (Paperback)
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ISBN 10: 1617295353
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Paperback. Condizione: 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. Codice articolo 9781617295355
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Math for Programmers
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Manning Publications, 2021
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ISBN 13: 9781617295355
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Condizione: New. 2021. 1st Edition. Paperback. . . . . . Codice articolo V9781617295355
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Math for Programmers: 3D Graphics, Machine Learning, and Simulations with Python
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ISBN 10: 1617295353
ISBN 13: 9781617295355
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Math for Programmers: 3D graphics, machine learning, and simulations with Python
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Math for Programmers
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Paperback. Condizione: New. 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 interesting-and lucrative!-careers in some of today's 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. Codice articolo LU-9781617295355
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Condizione: New. 2021. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland. Codice articolo V9781617295355
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo PB-9781617295355
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Math for Programmers
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Condizione: New. Über den AutorPaul 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 prod. Codice articolo 319492751
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