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Machine Learning Using R

Machine Learning Using R

Machine Learning Using R by Karthik Ramasubramanian
English | 12 Jan. 2017 | ISBN: 1484223330 | 568 Pages | PDF | 11.47 MB

This book is inspired by the Machine Learning Model Building Process Flow, which provides the reader the ability to understand a ML algorithm and apply the entire process of building a ML model from the raw data.

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Machine Learning Using R by Karthik Ramasubramanian

Machine Learning Using R by Karthik Ramasubramanian

Machine Learning Using R by Karthik Ramasubramanian
English | 10 Jan. 2017 | ISBN: 1484223330 | 592 Pages | EPUB | 8 MB


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Machine Learning Using Python

Machine Learning Using Python

Machine Learning Using Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 40M | 516 MB
Genre: eLearning | Language: English



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Machine Learning Using Python

Machine Learning Using Python
Machine Learning Using Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 40M | 516 MB
Genre: eLearning | Language: English



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Machine Learning Using Python

Machine Learning Using Python
Machine Learning Using Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 40M | 516 MB
Genre: eLearning | Language: English




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Machine Learning Using Python by Abhishek Chhibber

Machine Learning Using Python by Abhishek Chhibber
Machine Learning Using Python by Abhishek Chhibber
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 40M | 516,74 MB
Genre: eLearning | Language: English


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Technics Publications - Machine Learning Using Python

Technics Publications - Machine Learning Using Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 40M | 516 MB
Genre: eLearning | Language: English


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Technics Publications - Machine Learning Using Python

Technics Publications - Machine Learning Using Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 40M | 516 MB
Genre: eLearning | Language: English


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MACHINE LEARNING with NEURAL NETWORKS using MATLAB


MACHINE LEARNING with NEURAL NETWORKS using MATLAB

MACHINE LEARNING with NEURAL NETWORKS using MATLAB
2017 | English | ASIN: B06XC21FZV | 382 pages | PDF + EPUB (conv) | 21 Mb
Machine Learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data.



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Jose Unpingco - Python for Probability, Statistics, and Machine Learning (EPUB)


Jose Unpingco - Python for Probability, Statistics, and Machine Learning (EPUB)

Python for Probability, Statistics, and Machine Learning by Jose Unpingco
English | 28 Mar. 2016 | ISBN: 3319307150 | 294 Pages | EPUB | 4.91 MB
This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notebooks, which are provided as supplementary downloads.



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Learning Deep Architectures for AI (Foundations and Trends(r) in Machine Learning)


Learning Deep Architectures for AI (Foundations and Trends(r) in Machine Learning)

Learning Deep Architectures for AI (Foundations and Trends(r) in Machine Learning) by Yoshua Bengio
English | Oct. 28, 2009 | ISBN: 1601982941 | 130 Pages | PDF | 1 MB
Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one would need deep architectures. Deep architectures are composed of multiple levels of non-linear operations, such as in neural nets with many hidden layers, graphical models with many levels of latent variables, or in complicated propositional formulae re-using many sub-formulae.



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An Introduction to Machine Learning with Web Data

An Introduction to Machine Learning with Web Data

An Introduction to Machine Learning with Web Data
HDRips | MP4/AVC, ~1200 kb/s | 1280x720 | Duration: 02:43:22 | English: AAC, 128 kb/s (2 ch) | 1.43 GB
Genre: Development / Programming

Once you've accumulated a pile of data through your web application, what do you do with it? In this insightful video course, bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. You'll follow several examples through the entire process-from obtaining, cleaning, and exploring data to building a model and interpreting the results.

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Python: Real World Machine Learning

Python: Real World Machine Learning

Python: Real World Machine Learning by Prateek Joshi
English | 14 Nov. 2016 | ASIN: B01N74UY6B | ISBN-13: 9781787123212 | 983 Pages | MOBI/EPUB/PDF | 53.2 MB

Learn to solve challenging data science problems by building powerful machine learning models using Python.

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An Introduction to Machine Learning with Web Data

An Introduction to Machine Learning with Web Data

An Introduction to Machine Learning with Web Data
HDRips | MP4/AVC, ~1200 kb/s | 1280x720 | Duration: 02:43:22 | English: AAC, 128 kb/s (2 ch) | 1.43 GB
Genre: Development / Programming
Once youve accumulated a pile of data through your web application, what do you do with it? In this insightful video course, bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. Youll follow several examples through the entire process-from obtaining, cleaning, and exploring data to building a model and interpreting the results.


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An Introduction to Machine Learning with Web Data [repost]

An Introduction to Machine Learning with Web Data [repost]
An Introduction to Machine Learning with Web Data
HDRips | MP4/AVC, ~1200 kb/s | 1280x720 | Duration: 02:43:22 | English: AAC, 128 kb/s (2 ch) | 1.43 GB
Genre: Development / Programming
Once youve accumulated a pile of data through your web application, what do you do with it? In this insightful video course, bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. Youll follow several examples through the entire process-from obtaining, cleaning, and exploring data to building a model and interpreting the results.




Read More »