Sinan Ozdemir is a data scientist, start-up founder, and educator living in the San Francisco Bay Area. He studied pure mathematics at the Johns Hopkins University. He then spent several years conducting lectures on data science there, before founding his own start-up, Kylie ai, which uses artificial intelligence to clone brand personalities and automate customer service communications. He is also the author of Principles of Data Science, available through Packt.
Sinan Ozdemir
Tytuły autora: Sinan Ozdemir dostępne w księgarni Ebookpoint
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Principles of Data Science provides an end-to-end framework for cultivating critical thinking about data, performing practical data science, building performant machine learning models, and mitigating bias in AI pipelines. Learn the fundamentals of computational math and stats while exploring modern machine learning and large pre-trained models.-
- PDF + ePub 98 pkt
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98.10 zł
109.00 zł (-10%) -
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The book will allow readers to implement smart solutions to their existing cybersecurity products and effectively build intelligent solutions which cater to the needs of the future. By the end of this book, you will be able to build, apply, and evaluate machine learning algorithms to identify various cybersecurity potential threats.
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- PDF + ePub + Mobi 125 pkt
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125.10 zł
139.00 zł (-10%) -
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This book is a complete guide to building a solid data science pipeline, combining various tools and techniques to turn data into valuable insights. Get into the world of data science by implementing various real-world data science operations. You will learn how to implement best practices and overcome the challenges associated with each of them.
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- PDF + ePub 125 pkt
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125.10 zł
139.00 zł (-10%) -
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Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective.
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- PDF + ePub + Mobi 107 pkt
(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł (-10%) -
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- PDF + ePub + Mobi 125 pkt
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł (-10%) -
