Algorithms of the Intelligent Web (New)

Ady s w PythonieBy mo e przyda si ta ksi ka osobom dobrze obeznanym ze sztuczn inteligencj i matematykom. Ython is assumedAbout the AuthorsDouglas 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 techniues for industrial solutions Dmitry Babenko designs applications for banking insurance and supply chain management Foreword by Yike GuoTable of ContentsBuilding applications for the intelligent webExtracting structure from data clustering and transforming dataRecommending relevant contentClassification things where they belongCase study click prediction for online advertisingDeep learning And Neural NetworksMaking neural networksMaking the choiceThe future of the webAppendix Capturing data on the we.

Douglas McIlwraith ✓ 7 read

Matycznej du o est dosy trudnych WYRAZ W ZAGADNIE NIE M WI w zagadnie nie m wi o potrzebie znajomo ci programowania Przyk. Tion teaches you how to create machine learning applications that crunch and wrangle data collected from users web applications and website logs In this totally revised edition you'll look at intelligent algorithms that extract real value from data 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 You'll explore recommendation engines and dive into classification via statistical algorithms neural networks and deep learningWhat's InsideIntroduction to machine learningExtracting structure from dataDeep And Neural NetworksHow Recommendation and networksHow recommendation workAbout the ReaderKnowledge of ,
Algorithms of the Intelligent Web