Understanding Machine Learning: From Theory to Algorithms [2014]
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Описание:
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Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.
Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds.
Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.
#ии@physics_math
#искусственный_интеллект@physics_math
#машинное_обучение@physics_math
#книги@physics_math
#алгоритмы@physics_math
#анализ@physics_math
#python #код #django #питон #джанго #программирование #cod #coding #ML #DataMining #deeplearning #neuralnets #neuralnetworks #neuralnetworks #ArtificialIntelligence #MachineLearning #DigitalTransformation #tech #ML #python
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Описание:
═════════════════════
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.
Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds.
Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.
#ии@physics_math
#искусственный_интеллект@physics_math
#машинное_обучение@physics_math
#книги@physics_math
#алгоритмы@physics_math
#анализ@physics_math
#python #код #django #питон #джанго #программирование #cod #coding #ML #DataMining #deeplearning #neuralnets #neuralnetworks #neuralnetworks #ArtificialIntelligence #MachineLearning #DigitalTransformation #tech #ML #python
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Webbots Пауки и экран скребки - Руководство по разработке интернет-агентов с PHP-CURL [2012]
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Описание:
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The Internet is bigger and better than what a mere browser allows. Webbots, Spiders, and Screen Scrapers is for programmers and businesspeople who want to take full advantage of the vast resources available on the Web. There's no reason to let browsers limit your online experience-especially when you can easily automate online tasks to suit your individual needs.
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Learn how to write webbots and spiders that do all this and more:
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Programmatically download entire websites Effectively parse data from web pages Manage cookies Decode encrypted files Automate form submissions Send and receive email Send SMS alerts to your cell phone Unlock password-protected websites Automatically bid in online auctions Exchange data with FTP and NNTP servers
Sample projects using standard code libraries reinforce these new skills. You'll learn how to create your own webbots and spiders that track online prices, aggregate different data sources into a single web page, and archive the online data you just can't live without. You'll learn inside information from an experienced webbot developer on how and when to write stealthy webbots that mimic human behavior, tips for developing fault-tolerant designs, and various methods for launching and scheduling webbots. You'll also get advice on how to write webbots and spiders that respect website owner property rights, plus techniques for shielding websites from unwanted robots.
As a bonus, visit the author's website to test your webbots on sample target pages, and to download the scripts and code libraries used in the book.
Some tasks are just too tedious-or too important!- to leave to humans. Once you've automated your online life, you'll never let a browser limit the way you use the Internet again.
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About the Author
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Michael Schrenk uses webbots and data-driven web applications to create competitive advantages for businesses. He has written for Computerworld and Web Techniques magazines and has taught courses on Web usability and Internet marketing. He has also given presentations on intelligent Web agents and online corporate intelligence at the DEFCON hacker's convention.
#программирование@physics_math
#php@physics_math
#curl@physics_math
#scrapers@physics_math
#алгоритмы@physics_math
#анализ@physics_math
#python #код #django #питон #джанго #программирование #cod #coding #ML #DataMining #deeplearning #neuralnets #neuralnetworks #neuralnetworks #ArtificialIntelligence #MachineLearning #DigitalTransformation #tech #ML #python
═════════════════════
Описание:
═════════════════════
The Internet is bigger and better than what a mere browser allows. Webbots, Spiders, and Screen Scrapers is for programmers and businesspeople who want to take full advantage of the vast resources available on the Web. There's no reason to let browsers limit your online experience-especially when you can easily automate online tasks to suit your individual needs.
═════════════════════
Learn how to write webbots and spiders that do all this and more:
═════════════════════
Programmatically download entire websites Effectively parse data from web pages Manage cookies Decode encrypted files Automate form submissions Send and receive email Send SMS alerts to your cell phone Unlock password-protected websites Automatically bid in online auctions Exchange data with FTP and NNTP servers
Sample projects using standard code libraries reinforce these new skills. You'll learn how to create your own webbots and spiders that track online prices, aggregate different data sources into a single web page, and archive the online data you just can't live without. You'll learn inside information from an experienced webbot developer on how and when to write stealthy webbots that mimic human behavior, tips for developing fault-tolerant designs, and various methods for launching and scheduling webbots. You'll also get advice on how to write webbots and spiders that respect website owner property rights, plus techniques for shielding websites from unwanted robots.
As a bonus, visit the author's website to test your webbots on sample target pages, and to download the scripts and code libraries used in the book.
Some tasks are just too tedious-or too important!- to leave to humans. Once you've automated your online life, you'll never let a browser limit the way you use the Internet again.
═════════════════════
About the Author
═════════════════════
Michael Schrenk uses webbots and data-driven web applications to create competitive advantages for businesses. He has written for Computerworld and Web Techniques magazines and has taught courses on Web usability and Internet marketing. He has also given presentations on intelligent Web agents and online corporate intelligence at the DEFCON hacker's convention.
#программирование@physics_math
#php@physics_math
#curl@physics_math
#scrapers@physics_math
#алгоритмы@physics_math
#анализ@physics_math
#python #код #django #питон #джанго #программирование #cod #coding #ML #DataMining #deeplearning #neuralnets #neuralnetworks #neuralnetworks #ArtificialIntelligence #MachineLearning #DigitalTransformation #tech #ML #python