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Fundamentals of Machine Learning
Fundamentals of Machine Learning

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

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Profile Icon Yiqiao Yin
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$12.99 per month
Video Jan 2023 8hrs 41mins 1st Edition
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$60.99
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Renews at $12.99p/m
Arrow left icon
Profile Icon Yiqiao Yin
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$12.99 per month
Video Jan 2023 8hrs 41mins 1st Edition
Video
$60.99
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Renews at $12.99p/m
Video
$60.99
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Free Trial
Renews at $12.99p/m

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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

Who is this book for?

This course can be taken by beginners in Python programming, machine learning, and data science. Scientists, data scientists, and data analysts can also opt for this course. The course assumes no prior knowledge. However, some prior training in Python programming and some basic calculus knowledge is helpful for the course.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 30, 2023
Length: 8hrs 41mins
Edition : 1st
Language : English
ISBN-13 : 9781837635719
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What do you get with a Packt Subscription?

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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Jan 30, 2023
Length: 8hrs 41mins
Edition : 1st
Language : English
ISBN-13 : 9781837635719
Category :
Languages :
Concepts :
Tools :

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