Udemy - Introduction to Machine Learning & Face Detection in Python (2015)

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Added on November 24, 2015 by zeeshan65956in Other > Tutorials
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Udemy - Introduction to Machine Learning & Face Detection in Python (2015) (Size: 864.3 MB)
 001 Introduction.mp46.05 MB
 002 Introduction to machine learning.mp420.36 MB
 005 Logistic regression example I - sigmoid function.mp446.1 MB
 003 Logistic regression introduction.mp442.61 MB
 004 Cross validation.mp418.91 MB
 001 Linear regression introduction.mp429.93 MB
 006 Logistic regression example II.mp415.94 MB
 002 Linear regression example.mp428.99 MB
 007 Logistic regression example III - credit scoring.mp451.28 MB
 002 kNN introduction - normalize data.mp49.81 MB
 003 kNN example I.mp48.68 MB
 004 kNN example II.mp47.56 MB
 001 kNN introduction.mp435.76 MB
 001 Naive Bayes introduction.mp443.58 MB
 002 Naive Bayes example.mp420.41 MB
 001 Support vector machine introduction.mp424.12 MB
 002 Support vector machine example I.mp410.71 MB
 003 Support vector machine example II - image recognition.mp422.84 MB
 008 Random forests example II - enhance decision trees.mp48.82 MB
 007 Random forests example I.mp48.9 MB
 004 Pruning and bagging.mp413.41 MB
 002 Decision trees example I.mp45.79 MB
 003 Decision trees example II - iris data.mp449.68 MB
 001 Decision trees introduction.mp438.22 MB
 006 Boosting.mp411.39 MB
 005 Random forests introduction.mp49.63 MB
 003 K-means clustering example.mp417.13 MB
 001 Principal component anlysis introduction.mp411.93 MB
 004 DBSCAN introduction.mp423.68 MB
 006 Hierarchical clustering example.mp413.59 MB
 002 K-means clustering introduction.mp431.73 MB
 005 Hierarchical clustering introduction.mp420.96 MB
 005 Applications of neural networks.mp423.33 MB
 007 Neural network example - XOR problem.mp424.98 MB
 002 Simple example - logical AND table.mp411.27 MB
 001 Neural network introduction.mp415.45 MB
 003 Training a neural network.mp433.33 MB
 004 Complex neural networks.mp432.42 MB
 006 Deep learning.mp410.56 MB
 001 Final words.mp44.46 MB

Description

Introduction to Machine Learning & Face Detection in Python (2015)

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Manufacturer: Udemy
Site Holczer Balazs
Duration: 4:16:19
Type dispensed material: videos
Language: English

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[Description:]
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Learn the most up to date techniques in data mining from regression to neural networks. This course is about the fundamental concepts of machine learning, focusing on neural networks , SVM and decision trees. These topics are getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example or we may construct algorithms that can have a very very good guess about stock prices movement in the market. In each section we will talk about the theoretical background for all of these algorithms then we going to implement are these problems together. The first chapter is about regression: very easy yet very powerful and widely used machine learning technique. We will talk about Naive Bayes classification and tree based algorithms such as decision trees and random forests. These are more sophisticated algorithms, sometimes works, sometimes not. The last chapters will be about SVM and Neural Networks: the most important approaches in machine learning.

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Udemy - Introduction to Machine Learning & Face Detection in Python (2015)