Complete Machine Learning 11 in 1 course

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 102 lectures (21h 20m) | Size: 17.6 GB

Machine Learning: Beginner to Expert

Machine Learning: Beginner to Expert

What you'll learn:

Machine Learning

Supervised learning

Unsupervised learning

Model and cost function

Parameter learning

Linear algebra

Linear regression

Linear regression with multiple variables

Gradient descent

Features and polynomial regression

Computing parameters analytically

Logistic regression

Classification and representation

Hypothesis representation

Decision boundary

Multi class classification

Regularisation

Neural networks

Non linear hypothesis

Back propagation

Evaluating a learning algorithm

Advice for applying machine learning

Bias vs variance

Learning curves

Building a spam classifier

Machine learning system design

Handling skewed data

Using large data sets

Support vector machines

Large margin classification

Kernels

SVM in practice

Clustering

Dimensionality reduction

Motivation

Principal component analysis

Applying PCA

Anomaly detection

Density estimation

Gaussian distribution

Building an anomaly detection system

Recommender systems

Predicting movie ratings

Collaborative filtering

Low rank matrix factorisation

Large scale machine learning

Gradient descent with large data sets

Advanced topics

Online learning

Map reduction and parallelism

Photo OCR

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