Author: Matthew Kirk
Publisher: "O'Reilly Media, Inc."
ISBN: 149192408X
Size: 61.99 MB
Format: PDF, ePub, Mobi
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Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you’re a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms
Language: en
Pages: 220
Pages: 220
Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python’s
Language: en
Pages: 236
Pages: 236
Learn how to apply test-driven development (TDD) to machine-learning algorithms—and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and
Language: en
Pages: 1100
Pages: 1100
Optical Fiber Telecommunications, Volume Eleven, covers the latest in optical fiber communications and their potential to penetrate and complement other forms of communication, such as wireless access, on-premises networks, interconnects and satellites. This updated edition of this classic, first published in 1979, examines opportunities for future optical fiber technology by
Language: en
Pages:
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Learn from the Experts is a series where we sit down with leading industry practitioners and ask them for real-world stories and examples of how they're using technology in their everyday work. In this interview, Jeff Bleiel talks to Matthew Kirk, founder of Your Chief Scientist and the author of
Language: uk
Pages: 432
Pages: 432
Зa чac cвoгo icнувaння життя нa Зeмлi тpaнcфopмoвувaлocя кiлькa paзiв — вiд бaктepiй, чий poзвитoк пoвнicтю зaкoдoвaний у ДНК, дo cклaднiшиx opгaнiзмiв i зpeштoю людини, якa мaє вибip тa мaйжe миттєвo пpиcтocoвуєтьcя дo нoвoгo cepeдoвищa. Ця гнучкicть дaлa змoгу людcтву зaпaнувaти нa Зeмлi. Тa пoпpи знaчнi пpopиви — мoву, пиceмнicть,
Language: en
Pages: 334
Pages: 334
A hands-on guide to deep learning that’s filled with intuitive explanations and engaging practical examples Key Features Designed to iteratively develop the skills of Python users who don’t have a data science background Covers the key foundational concepts you’ll need to know when building deep learning systems Full of step-by-step
Language: uk
Pages:
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Мігай Чиксентмігаї — відомий американський психолог та почесний професор Клермонтського університету, член Американської академії освіти, Американської академії наук та мистецтв і Національної академії досліджень дозвілля. Автор близько 20 книжок і понад 120 статей про творчість і щастя, він зробив неоціненний внесок у розвиток сучасної психології, досліджуючи такі незвичайні теми, як
Language: uk
Pages: 216
Pages: 216
«Капіталізм і свобода» — класика політико-економічної літератури ХХ століття — як ніколи актуальна для України. Нобелівський лауреат Мілтон Фрідман розглядає зв’язок між економічною та політичною свободою. Він описує, чому варто обмежити вплив держави в економіку, децентралізувати владу, забезпечити гнучкий валютний курс, роздержавити сфери освіти і соціального забезпечення.
Language: en
Pages: 356
Pages: 356
★★ Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★ Have you ever wondered how speech recognition and search engines really work? Do you wish you could get a machine to do more of your tasks? Even if you are brand new to
Language: en
Pages: 490
Pages: 490
Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key Features Bridge your data analysis with the power of