Algorithms of the Intelligent Web, 2nd Ed, Video Edition

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Video Description
“Concise descriptions of algorithms with their mathematical foundation and sample code in Python.”
Yike Guo, Data Science Institute, Imperial College London

Algorithms of the Intelligent Web teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. Key machine learning concepts are explained with code examples in Python’s scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web, and extract real value from data. You’ll explore recommendation engines and dive into classification via statistical algorithms, neural networks, and deep learning.

Valuable insights are buried in the tracks web users leave as they navigate pages and applications. You can uncover them by using intelligent algorithms like the ones that have earned Facebook, Google, and Twitter a place among the giants of web data pattern extraction.
Inside:

Introduction to machine learning
Extracting structure from data
Deep learning and neural networks
How recommendation engines work
Knowledge of Python is assumed.

Douglas McIlwraith is a machine learning expert and data science practitioner in the field of online advertising. Dr. Haralambos Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions. Dmitry Babenko designs applications for banking, insurance, and supply-chain management.

This second edition brings fresh life to an all-time classic.
Marius Butuc, Shopify

Covers the most essential areas of machine learning application in the real world. A great hands-on approach.
Radha Ranjan Madhav, Amazon

Great balance between theory and practice.
Dike E. Kalu, Fara Frica

NARRATED BY MARK THOMAS

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