Udemy – LEARNING PATH: Statistics for Machine Learning 2018-3

LEARNING PATH: Statistics for Machine Learning, Machine learning worries a lot of developers when it comes to analyzing complex statistical problems. Knowing that statistics helps you build strong machine learning models that optimizes a given problem statement. This Learning Path will teach you all it takes to perform complex statistical computations required for machine learning. So, if you are a developer with little or no background in statistics and want to implement machine learning in their systems, then go for this Learning Path. Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. You will start off with the basics of statistical terminology and machine learning.

You will perform complex statistical computations required for machine learning and understand the real-world examples that discuss the statistical side of machine learning. You will then implement frequently used algorithms on various domain problems, using both Python and R programming. You will use libraries such as scikit-learn, NumPy, random Forest and so on. Next, you will acquire a deep knowledge of the various models of unsupervised and reinforcement learning, and explore the fundamentals of deep learning with the help of the Keras software. Finally, you will gain an overview of reinforcement learning with the Python programming language. By the end of this Learning Path, you will have mastered the required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problem.

What you’ll learn

• Introduces statistical terminology and machine learning
• Offers practical solutions for simple linear regression and multi-linear regression
• Implement Logistic Regression using credit data
• Compares logistic regression and random forest using examples
• Implement statistical computations programmatically for unsupervised learning through K-means clustering
• Understand artificial neural network concepts
• Introduce different types of Unsupervised Learning

Who this course is for

• This Learning Path is intended for developers with little to no background in statistics who want to implement machine learning in their systems.

Specificatoin of LEARNING PATH: Statistics for Machine Learning

• Publisher : Udemy
• Teacher : Packt Publishing
• Language : English
• Level : Beginner
• Number of Course : 36
• Duration : 4 hours and 11 minutes

Content of LEARNING PATH: Statistics for Machine Learning

Requirements

• Prior knowledge of Python and R programming is expected.

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Subtitle : English

Quality: 720p

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File size

371 MB