Machine Learning is one of the fastest developing fields that provide excellent job opportunities. So, if you are looking for an open niche, in which you will be able to build a successful career and be proud of what you do, you should start studying Machine Learning.
There are a lot of Machine Learning tutorials for beginners available online, and you simply need to choose the most suitable one. Check the following top 10 courses, which will help you to acquire knowledge in the most effective way.
What Are The Prerequisites To Learn Machine Learning?
To take Machine Learning courses, you don’t need to be a Master in Computer Science. However, you should have at least some basic knowledge related to this field. Most courses are available for students with the following skills:
- At least an intermediate level of exposure to calculus, linear algebra, and probability.
- Familiarity with at least one programming language, preferably Python.
Top 10 Machine Learning Tutorials for Beginners
However, the best advantage of Stanford’s course is its practical part. There are a lot of real-life case studies and assignments, which helps to understand how Machine Learning works in real life. At the end of the course, online students get verified certificates.
Course Highlights
- Duration 55 hours (7 hours per week)
- Course completion certificate
- Course available in 6 languages
- If you don’t need a certificate, you can study for free. However, some assignments will not be available.
Applied Machine Learning Course (Columbia Engineering)
This course consists of two parts: supervised and unsupervised learning. Each part includes 5 modules, 10 modules in total. If you like a traditional way of studying, you will definitely like this course. You will get access to faculty video lectures and moderated discussion boards.
Even more, you will be able to communicate with real teachers online. They will guide you through the studying process pointing out your mistakes and answering all your questions.
Course Highlights
- Course fees $1,200
- Duration 3 months (6-8 hours per week)
- Verified digital certificate from EMERITUS in collaboration with Columbia Engineering Executive Education.
Machine Learning: Level 1 and Level 2 (Kaggle)
If you are not sure whether machine learning is your cup of tea and don’t want to spend a lot on tutorials yet, you can take free courses offered by Kaggle. This course consists of two levels. Level 1 includes 6 lectures and 6 practical exercises. It will help you to understand how to apply obtained knowledge to real-life situations.
Level 2 will help you to master new skills and learn more about handling missing values, data leakage, and application of partial dependents plots.
Course Highlights
- Course is free
- High level of Python skills is required to take this course
- No certificate is given for this course.
Machine Learning Crash Course (Google)
Google designed outstanding tutorials in partnership with Kaggle. The short course allows studying fundamental machine learning concepts and getting real-world experience. Besides, if you want to learn more about Artificial Intelligence, you can visit the Google AI Education page and get access to a huge up-to-date library with free training resources.
Course Highlights
- Course is free
- Duration 25 hours
- Self-paced course format.
Weka Machine Learning Mini-Course
If you have a goal to learn basic algorithm of Machine Learning in a short period of time, you can try this free mini-course. In a few lessons, you will learn how to use Weka software.
At the end of the course, you will be able to estimate model performance and write classification, regression, and ensemble algorithms. However, keep in mind that you will learn how to work with the digits only. If you want to work with the text, you should better find other tutorials.
Course Highlights
- Course is free
- Installation of Weka software is needed
- No certificate is given for this course.
Data Science and Machine Learning Bootcamp with R
Course Highlights
- Course fees $194.99 (Sometimes discounts up to 90% are available)
- 17,5 hours of video lectures, 8 articles, 3 recourses to download are included
- Course completion certificate.
Essential Math for Machine Learning: R Edition
If you lack math skills, you will find it challenging to study Machine Learning. It’s highly recommended to take specialized Essential Math for Machine Learning course to ensure that you will not face any difficulties in mastering new skills at the next stages.
Mathew Millington, CEO of Studicus.com, says: “It’s crucially important to learn fundamentals first. It will help you to achieve great results in the future.” So, if you feel that you need to prepare yourself before jumping into Machine Learning, feel free to take additional tutorials for beginners.
Course Highlights
- Self-paced course format
- Duration 6 weeks (6-8 hours per week)
- You can get a course completion certificate if you pay $99 (if you don’t need a certificate, you can study for free)
Get Quick Overview of Machine Learning Principles
If you have no time to study, but urgently need to know what Machine Learning is all about, you can visit Pluralsigh to access short video tutorials. Scientists, developers, professors and other experts in the field offer short explanatory videos. These video materials will help to learn fundamentals in a hassle-free way.
You can check the following popular courses:
Getting Started with Azure Machine Learning
Understanding Machine Learning with Python
How to Think About Machine Learning Algorithms
In Conclusion
There are a lot of tutorials available online, and you can choose that one, which meets your preferences and your budget. However, you should always consider expenses on education as a significant investment in your future. The higher price (in the form of your money, time and efforts) you pay, the higher returns (in the form of higher salary and better benefits) you will receive.
Linda Grandes is a full-time blogger at Studyton.com and a true expert in writing. She is interested in a variety of topics starting from education and ending at modern art. That`s why the idea of her blog cannot be narrowed to one topic as well. Linda also has vast experience in editing texts and knows all the angles of academic and professional writing thanks to her productive cooperation with WoWGrade.com. Linda is a passionate traveler and she is eager to learn new things and meet new people.
