Statistical Regression and Classification From Linear Models to Machine Learning


Statistical Regression and Classification From Linear Models to Machine Learning

Norman Matloff, "Statistical Regression and Classification: From Linear Models to Machine Learning"
2017 | ISBN-10: 1498710913, 113806646X | 528 pages | PDF | 3 MB

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Machine Learning Primer

Machine Learning Primer
Machine Learning Primer
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 685 MB
Genre: eLearning | Language: English
Machine learning can be viewed as a set of tools and methods that try to deduce patterns and to extract information from corporate data. The subject of machine learning is that has matured considerably over the past few years


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Packt Publishing - Spark for Machine Learning [Video]

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Packt Publishing - Spark for Machine Learning [Video]
English | Size: 294.01 MB
Category: Tutorial

Spark lets you apply machine learning techniques to data in real time, giving users immediate machine-learning based insights based on what's happening right now. Using Spark, we can create machine learning models and programs that are distributed and much faster compared to standard machine learning toolkits such as R or Python.

In this course, you’ll learn how to use the Spark MLlib. You’ll find out about the supervised and unsupervised ML algorithms. You’ll build classifications models, extracting proper futures from text using Word2Vect to achieve this. Next, we’ll build a Logistic Regression Model with Spark. Then we’ll find clusters and correlations in our data using K-Means clustering. We’ll learn how to validate models using cross-validation and area under the ROC measurement.
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Packt Publishig - Identifying Behaviour Patterns using Machine Learning Techniques

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Packt Publishig - Identifying Behaviour Patterns using Machine Learning Techniques
English | Size: 237.00 MB
Category: Tutorial

Learn to identify behaviour patterns based on the user actions on the web site using ML techniques

Nowadays web-sites needs to handle huge amount of traffic. We can leverage that fact and capture user interactions with the application. For further analysis. Next, we can analyze users behavior and capture patterns on which we are able to react properly.

In applications that needs to deal with huge amount of traffic it is very hard to detect anomalies. We’ll learn how to apply clustering to find anomalies in web traffic. Next, we can analyze users behaviour and when they tend to do on our application using time series data. We will be using GMM clustering technique to achieve that.
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Data Science Machine Learning algorithms in Matlab


Data Science Machine Learning algorithms in Matlab

Data Science: Machine Learning algorithms in Matlab
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 23 | 316 MB
Genre: eLearning | Language: English

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Step-by-Step Machine Learning with Python

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


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Amazing Selling Machine 7 with Matt Clark, Jason Katzenback


Amazing Selling Machine 7 with Matt Clark, Jason Katzenback
Matt Clark, Jason Katzenback - Amazing Selling Machine 7 [WebRip 132 MP4s + 183 PDFs] | 32.5 GB

Discover Your Opportunity For the Ultimate Financial Freedom by Cashing in on Your Share of Amazon's $136 Billion in Sales
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Author: Mirana | Comment: ( 0 )

The Best Amazing Selling Machine (ASM) Bonuses - Rapid Crush Live Event


The Best Amazing Selling Machine (ASM) Bonuses - Rapid Crush Live Event
The Best Amazing Selling Machine (ASM) Bonuses - Rapid Crush Live Event
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~784 kbps | 14.985 fps
AAC | 68.3 Kbps | 22.05 KHz | 2 channels | 37:28:28 | 9.24 GB
Genre: eLearning Video / Business, Sales, Marketing

Rapid Crush is the bonus package Jason Fladlien and Ben Cummings developed to compliment The Amazing Selling Machine which is a selling products through Amazon program. This collection looks like several events (based on changing hair!). Every video I sampled had good information, and I am reconsidering ASM based on this module.
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LabVIEW 2017 Analytics and Machine Learning Toolkit


LabVIEW 2017 Analytics and Machine Learning Toolkit
OS: ShiChuang 32bit | Language: English | Size: 177 MB

National Instruments (NI), the provider of solutions that enable engineers and scientists to solve the world's greatest engineering challenges, announced . This solution includes VIs for training machine learning models that discover patterns in large amounts of data. You can deploy trained machine learning models to recognize patterns in new data.

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Unbalanced Sequential Data in Machine Learning

Unbalanced Sequential Data in Machine Learning
Unbalanced Sequential Data in Machine Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 204 MB
Genre: eLearning | Language: English
Learn about unbalanced sequential data in machine learning. Topics to be covered include:
Sequential vs. IID data. We cover the difference between standard IID data and sequential data. We also describe how to mathematically formulate these two data types.



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