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Machine Learning for Absolute Beginners

A Cloud Guru

Machine learning is all around us. Every day, it seems like some new device is now "smart". How do machines know how to do all of these different tasks? It isn't magic, although it does feel that way. In this course, you'll learn the basics of machine learning, giving you an overview of what machine learning is, and equally important, what machine learning is not. We'll discuss some of the popular uses for machine learning today and what it promises for the future. You'll even learn a bit about how you learn in the process!

This course is no longer available. Find something similar by browsing:
Machine Learning Artificial Intelligence Data Science Algorithms Python

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores machine learning, providing an overview of its principles and applications
Introduces machine learning concepts in a clear and beginner-friendly manner
Provides real-world examples of machine learning, making the concepts relatable
Taught by A Cloud Guru, a reputable provider in cloud computing and machine learning education
Serves as a suitable starting point for beginners seeking a fundamental understanding of machine learning

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Reviews summary

Gentle introduction to machine learning concepts

Learners say this course is an excellent starting point for anyone new to the field, offering a gentle and accessible introduction to machine learning. Students frequently commend the clear explanations and the instructor's ability to simplify complex ideas, making intimidating topics understandable. It's particularly praised for building a strong foundational understanding of core concepts. However, some reviews indicate it's not for experienced learners or those seeking deep practical coding skills, suggesting it lacks practical depth for immediate application and often requires further study to achieve proficiency.
Provides a solid theoretical base but minimal hands-on application.
"I gained a good conceptual understanding, but I need another course to learn how to actually implement these algorithms."
"This course is great for 'what is ML?' not 'how to do ML?'. Keep that in mind."
"It's a fantastic overview, yet I wish there were more coding exercises or projects to truly solidify the concepts."
Instructor actively updates content, keeping it relevant and current.
"I revisited the course after a year, and it's clear the instructor has made significant improvements and added new sections."
"It's great to see that the course material is regularly refreshed to reflect new developments in the field."
"My experience was positive, and I've seen recent updates mentioned, which shows commitment."
Lectures are easy to follow with the instructor's clear and engaging delivery.
"The instructor explained everything so clearly, even the tricky bits became understandable."
"I found the lectures well-structured and easy to follow. A truly engaging instructor."
"Every concept was presented in a straightforward manner, which was perfect for someone just starting out."
Makes complex machine learning concepts accessible to newcomers.
"As an absolute beginner, I found this course incredibly helpful; it really demystified ML for me."
"No prior knowledge needed, the instructor breaks down everything into digestible pieces."
"I appreciate how simple it made seemingly complex topics. I finally understand the basics."
Too basic for those with existing knowledge or advanced skill aspirations.
"If you already know the basics of ML, this course will likely be too rudimentary for you."
"I was hoping for more technical depth, but it's truly for absolute beginners. My mistake."
"Anyone looking to dive into specific algorithms or coding will need to look elsewhere."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Machine Learning for Absolute Beginners with these activities:
Catch-Up on Probability and Statistics
Reviewing probability and statistics will prepare you for the course's focus on statistical models.
Browse courses on Probability
Show steps
  • Review your old notes from a probability and statistics course.
  • Work through some practice problems.
  • Take a practice quiz.
Read 'Machine Learning for Dummies'
Reading 'Machine Learning for Dummies' will provide you with a gentle introduction to the field.
View Data Analytics & Visualization All-in-One For... on Amazon
Show steps
  • Read each chapter carefully.
  • Complete the exercises at the end of each chapter.
  • Take notes as you read.
Follow a Machine Learning Tutorial
Following a machine learning tutorial will help you learn the basics of the field.
Show steps
  • Find a machine learning tutorial that is appropriate for your skill level.
  • Follow the tutorial step-by-step.
  • Complete all of the exercises and quizzes.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Attend a Machine Learning Meetup
Attending a machine learning meetup will allow you to meet other people who are interested in the field.
Show steps
  • Find a machine learning meetup in your area.
  • Attend the meetup.
  • Talk to other people who are interested in machine learning.
Review linear algebra
Solidify your understanding of linear algebra for a stronger foundational knowledge base.
Browse courses on Linear Algebra
Show steps
  • Review your notes from a previous linear algebra course.
  • Work through practice problems on matrix operations, determinants, and vector spaces.
  • Take an online practice quiz to test your understanding.
Develop a Concept Map
Creating a concept map will help you visualize the relationships between the different ML topics covered in the course.
Show steps
  • Start by writing down the main concepts of ML in the center of a page.
  • Draw lines to connect the related concepts.
  • Add more details and examples as you go.
Solve Practice ML Problems
Solving practice ML problems will help you understand the concepts in a more practical way.
Show steps
  • Find a set of practice ML problems online or in a textbook.
  • Work through the problems one by one.
  • Check your answers against the solutions.
Build a Machine Learning Model
Building a machine learning model will give you hands-on experience with applying the concepts you learn in the course.
Show steps
  • Choose a dataset to work with.
  • Select a machine learning algorithm.
  • Train and test your model.
  • Evaluate your results.
Contribute to an Open Source Machine Learning Project
Contributing to an open source machine learning project will give you experience with real-world ML projects.
Show steps
  • Find an open source machine learning project that you are interested in.
  • Read the project documentation.
  • Make a contribution to the project.

Career center

Learners who complete Machine Learning for Absolute Beginners will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Machine Learning for Absolute Beginners.
Cover image
Machine Learning, revised and updated edition
Save
A comprehensive textbook commonly used in academic settings.
Machine Learning, revised and updated edition (The...
Paperback
$$
Machine Learning, revised and updated edition (The...
Kindle Edition
$$
Cover image
The Elements of Statistical Learning
Save
A comprehensive reference for statistical learning methods.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Machine Learning Con Pytorch Y Scikit Lean
Save
Covers both theoretical and practical aspects of machine learning in Python.
(Español) Machine Learning con PyTorch y Scikit-Learn:...
Paperback
$$$
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
Provides practical experience in using machine learning libraries and tools.
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
Introduction to Machine Learning with Python
Save
Provides a gentle introduction covering the basics of machine learning.
Introduction to Machine Learning with Python: A...
Kindle Edition
$$
Cover image
MACHINE LEARNING
Save
Provides a solid foundation in machine learning algorithms and their mathematical underpinnings.
Machine Learning: An Algorithmic Perspective,...
Hardcover
$$$
Machine Learning: An Algorithmic Perspective...
Paperback
$$
An Algorithmic Perspective on Machine Learning (2nd...
Paperback
$$$
Machine Learning: An Algorithmic Perspective,...
Kindle Edition
$$$
Cover image
機器學習聖經：最完整的統計學習方法
Save
A popular and accessible introduction to machine learning in Chinese.
機器學習聖經：最完整的統計學習方法
Paperback
Check
機器學習聖經：最完整的統計學習方法
Kindle Edition
Check
Cover image
Deep Learning
Save
While focused on deep learning, this book covers foundational concepts applicable to machine learning in general.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
机器学习算法竞赛实战
Save
Presents case studies and applications of machine learning in various domains.
(中文) 机器学习算法竞赛实战（图灵图书） (Chinese Edition)
Kindle Edition
$
Cover image
Probabilistic Machine Learning
Save
A more advanced and theoretical view of machine learning, discussing statistical and probabilistic models.
Probabilistic Machine Learning: Advanced Topics...
Hardcover
$$$$
Cover image
机器学习实战
Save
A practical guide to machine learning in Chinese.
(中文) Machine Learning with Python dialysis combat...
Paperback
$$

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Course image
Time
60 hours
Level
Introductory
Via
Pluralsight
Instructor
A Cloud Guru
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores machine learning, providing an overview of its principles and applications
Introduces machine learning concepts in a clear and beginner-friendly manner
Provides real-world examples of machine learning, making the concepts relatable
Taught by A Cloud Guru, a reputable provider in cloud computing and machine learning education
Serves as a suitable starting point for beginners seeking a fundamental understanding of machine learning
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