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Fundamentals of Machine Learning [Video]

Fundamentals of Machine Learning: Build a strong foundation of ML and start your career in data science [Video]

By Yiqiao Yin

$54.99

Video Jan 2023 8 hours 41 minutes 1st Edition

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Key benefits

Build customized deep learning models to start your own data science career
Build customized models to use for different data science projects
Learn about the fundamental principles of machine learning

Description

Machine learning is a branch of AI and computer science that focuses on the use of data to imitate the way humans learn and improve its accuracy.
The course is divided into two parts. The first part starts with a brief history of how machine learning started and introduces you to the basics of statistical learning. You will also understand linear regression and classification, which is the logistic regression model. Understand what cross-validation, sampling, and Bootstrap are. Explore how to go beyond linearity; we will specifically look at a couple of interesting examples to improve the linear regression model to see if we can create models that are non-linear.
The second part of the course is completely hands-on labs, which start with an example of predicting fuel efficiency in linear regression. We will then look at a lab on logistic regression with a little bit of mathematics behind it. Understand another lab session on random forests and do a review of decision trees as well. Next, we will look at a lab session on Eigenfaces by using Principle Component Analysis (PCA) and wrap up a course with a lab on ROC-AUC (Receiver Operating Characteristic Curve-Area Under Curve).
By the end of the course, you would have given yourself the skills and confidence to start programming machine learning algorithms.
All resources and code files are placed here: https://github.com/PacktPublishing/Fundamentals-of-Machine-Learning

What you will learn

Learn the basics of statistical learning
Understand linear regression, classification, and supervised learning
Understand sampling and Bootstrap in machine learning
Explore model selection and regularization
Understand random forests and decision trees
Explore labs on Multilayer Perceptron (MLP) and RNN

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Jan 30, 2023

Length 8 hours 41 minutes

Edition : 1st Edition

Language : English

ISBN-13 : 9781837635719

Category :

Languages :

Python (Beginner)

Concepts :

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About the author

Yiqiao Yin

Yiqiao Yin was a PhD student in statistics at Columbia University. He has a BA in mathematics and an MS in finance from the University of Rochester. He also has a wide range of research interests in representation learning: feature learning, deep learning, computer vision, and NLP. Yiqiao Yin is a senior data scientist at an S&P 500 company LabCorp, developing AI-driven solutions for drug diagnostics and development. He has held professional positions as an enterprise-level data scientist at EURO STOXX 50 company Bayer, a quantitative researcher at AQR working on alternative quantitative strategies to portfolio management and factor-based trading, and equity trader at T3 Trading on Wall Street.

See other products by Yiqiao Yin

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