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Advanced Machine Learning With Python

Advanced Machine Learning with Spark 2.x  eBooks & eLearning

Posted by naag at April 2, 2018
Advanced Machine Learning with Spark 2.x

Advanced Machine Learning with Spark 2.x
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 473 MB
Genre: eLearning | Language: English

Hands-On Machine Learning with Python and Scikit-Learn  eBooks & eLearning

Posted by naag at March 28, 2018
Hands-On Machine Learning with Python and Scikit-Learn

Hands-On Machine Learning with Python and Scikit-Learn
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 586 MB
Genre: eLearning | Language: English
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning by Chris Albon
English | Apr. 6, 2018 | ISBN: 1491989386 | 366 Pages | EPUB | 3.15 MB
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems By Dipanjan Sarkar
English | PDF,EPUB | 2017 (2018 Edition) | 545 Pages | ISBN : 1484232062 | 27.3 MB

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully.

Step-by-Step Machine Learning with Python  eBooks & eLearning

Posted by naag at Oct. 1, 2017
Step-by-Step Machine Learning with Python

Step-by-Step Machine Learning with Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours | 948 MB
Genre: eLearning | Language: English

Thoughtful Machine Learning with Python: A Test-Driven Approach  eBooks & eLearning

Posted by Willson at Sept. 2, 2017
Thoughtful Machine Learning with Python: A Test-Driven Approach

Matthew Kirk, "Thoughtful Machine Learning with Python: A Test-Driven Approach"
English | 2017 | ISBN: 1491924136 | 216 pages | True EPUB | 8 MB

Thoughtful Machine Learning with Python: A Test-Driven Approach  eBooks & eLearning

Posted by First1 at Aug. 31, 2017
Thoughtful Machine Learning with Python: A Test-Driven Approach

Thoughtful Machine Learning with Python: A Test-Driven Approach by Matthew Kirk
English | January 27th, 2017 | ISBN: 1491924136 | 216 pages | True PDF | 8.40 MB

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.
MACHINE LEARNING FOR BEGINNERS: 2 Manuscripts—Machine Learning for Complete Beginners and Machine Learning with Python

MACHINE LEARNING FOR BEGINNERS: 2 Manuscripts—Machine Learning for Complete Beginners and Machine Learning with Python
English | 2017 | ASIN: B073P889RM | 100 pages | AZW3/PDF/EPUB (conv) | 1.78 Mb
Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python By Manohar Swamynathan
English | EPUB | 2017 | 374 Pages | ISBN : 1484228650 | 4.74 MB

Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner.
Machine Learning with Python: Understanding Machine Learning with Python in the World of Data Science

Machine Learning with Python: Understanding Machine Learning with Python in the World of Data Science
English | 2017 | ASIN: B073D2BHX6 | 45 pages | PDF + EPUB + AZW3 (conv) | 1 Mb

Are you struggling with finding your way out from Data Science and all of its obstacles?