15 Best & Free Machine Learning Courses & Certifications In 2019
The rising power of technology has put the spotlight on computer science making it one of the fastest growing fields. A slew of jobs has flooded the market, with companies offering large payouts for individuals with knowledge of machine learning making it appealing to newcomers to the market and those looking for a career change. Understanding the inner workings of machine learning, individuals can offer companies a unique way to optimize productivity and security like never before.
Here is the list 15 Best & Free Machine Learning Courses & Certifications In 2019
This is a 3-month course that covers all you need to know when starting off in the world of machine learning. With a close look into algorithms and performance elevations, this course was designed with data representation in mind, covering a great mixture of knowledge to help you gain momentum in the world of machine learning. This is considered one of the best Java courses, using Java and Python as the basis to make you a well-rounded developer. Interactive quizzes help keep you sharp on subjects and a community full of other learners.
- Modeling and problem solving
- Supervised learning
- Deep learning
- Unsupervised learning
- Introduction to job market
Along with an easy to follow course flow, a mentor works by your side the entire time offering support if needed. With completion of the course, a career coach can help you further your learning or get the job of your dreams. This is one of the top courses to keep an eye on as they add new courses and update the information and structure often to ensure that students are getting only the most up to date information in the world of programming and machine learning.
|# of Students||262,345|
Kirill Eremenko, one of the top Forex Systems experts, is the creator of this comprehensive course that plunges learners into machine learning.This course is taught with the 2 most popular programming languages to hit the web Python and R. This course is self-paced, requiring a total of 41 hours for completion. Perfect for those that are intimidated by math requirements, Udemy only asks that you have a grasp of basic high school math concepts. You’re given several practice problems and opportunities to test your knowledge through a variety of methods to make sure you truly understand every concept.
Udemy offers several different skill levels, from the most basic and introductory lessons into machine learning all the way to more advanced and specific topics. You’ll be exposed to the best Java tutorials and also gain knowledge in:
- Python and R programming
- Markov models
- Supervised and Unsupervised learning
- Deep learning
- Data Handling
Throughout the course you will be given quizzes and exams to ensure you understanding. There is also bonus training and tutoring in case there are concepts that are more difficult to grasp. This course is suited for those that are just starting out in the field as it offers a great overview of the most basic concepts and introduces you to those that are a bit more complex. Completion of the beginner course can perhaps be the first step in the direction toward perfecting and sharpening skills. Thousands of individuals from all around the world have chosen Udemy which has led to its recognition in many of the top performing machine learning companies around the world.
|# of Students||469,126|
All of the most complex topics in this field are covered in this course from the ground up. The lessons are based off of the idea that you already have a least one year of experience with programming under your belt so if you don’t you may want to try a refresher first. You’re sure to receive the best knowledge base through this course, led by Jeremy Howard, founder of Enlitic, as you create machine modles from scratch. Besides modeling, you’ll have the opportunity for hands on experience with:
- Data preparation
- Model validation
- Building and execution
- Pragmatic coding
These skills along with an added open-minded approach to offering business solutions are what you’ll receive throughout this course. The course is separated into 12 lessons allowing you to complete or repeat as you please. With interactive problems to test your knowledge of the topics you’re learning ensuring that you have a grasp on the more complex ideas. Learners of all levels will enjoy the forum created for support among peers and professionals and be able to refer back to all lessons and past lessons from the library.Screen shots along with interactive examples are accompanied by all lectures to increase ease of grasping the topics no matter the degree of their complexity.Fast.AI is an increasingly popular brand in programming and machine learning courses making it a great asset to have under your belt as a professional developer.
|# of Students||141,265|
Skillshare is the perfect space for every level all the way up to expert programmers. The site features videos made by persons with an expertise in their field, creating videos that pass on all the information. This is not a true course like some of the others, with a gallery of video to choose from coming from all different sources. This can be the perfect way to hone in a specific skill that you’re wanting to learn within machine learning or take a more generalized approach. Among one of the Best Java courses online, this is the perfect site to perfect skills or begin a new one in the world of machine learning.
The videos are up and available for free, allowing you to access them from anywhere at any time. This may not be the best for those that work better with a little bit of guidance and structure, as this course offers true freedom to pick and choose. Though this may not be the course for those who already have a good grasp on advanced concepts, it could offer a great starting out point for those who are wanting to make a career change.
|# of Students||2,453|
|Pricing||$19 / mo.|
With Code Academy, you’re offered the chance for a strong foundation through free classes. Here you can start from zero experience, using the introduction courses to dive in deeper. All videos are led by knowledgeable and experienced programmers in the game. There videos can be watched over again to ensure your understanding and come with a small quiz at the end to test your new knowledge. Here, if you’re a newcomer, you can start with one of the best Java certifications advancing your skills as you complete each course.
As your knowledge of the machine learning world expands, Code Academy offers more specified courses which you will have to pay for, however nothing too pricey. You will learn skills like
- Machine learning systems
- Math refreshed
- Large scale machine learning
There are just some of the few skills you will walk away with by using Coda Academy. Once you buy a course or complete the free introduction course, you’re allowed unlimited access to refer back if there are ever any doubts. At the end of successful completion, you’re given access to professionals with job placement experience in the growing field of machine learning. Code Academy is recognized around the world as an amazing certificate program making it fairly easy to find work with some of the top companies in the world of machine learning.
|# of Students||75,219|
|Pricing||$29 / mo.|
Join the thousands of professionals just like you that chose to make a career change into the innovative world of machine learning. Every course and video are instructor led with most of them possessing years of experience in the field as an employee and as an instructor. Here they take a different approach to the normal ways of teaching, known as blending where you’re given self-paced opportunities mixed with interactive and applied learning.
This course offers a certificate that is recognized by many companies, and is adding several new skills daily to the long list of computer-based opportunities. Some of the skills you will take away are:
- Algorithm development
- Regression classification
- A glimpse into deep learning
- Linear and logistic regression
These skills are divided into 12 lessons that you can complete on your own time with small tests and quizzes waiting for you as you move along. The final lesson presents you with practice projects, to ensure you’re ready to dive in head first to the world of machine learning. A good foundation in statistics and math is preferred though not required and it also helps if you have some basic knowledge of the popular Python programming language. Upon completion of the course, you’re connected to a large community of learners and businesses making it easy to find a great job and put your new skills to use.
|# of Students||4442|
The machine learning course for Edureka breaks down its Maters Program in to 9 different courses. Here you will learn some of the top techniques and methods of creating successful programs and business solutions that other courses might not offer. Learning is done at your own pace, and you’re guided by some of the leading experts in the industry. Among the courses you will become and expert in the following:
- Python programming
- Graphic models
- Data Handling
- Reinforcement learning
- Python Spark
You will have a good grasp on the above ensuring that you will be a competitive and attractive candidate in the rapidly growing job market. As a final project, you will need to complete a give Capstone project. This project if a real-world example that test your skills and creativity requiring that you use your knowledge to provide a convenient solution. This course comes with a heftier price tag but, it is worth it at the end with the types of jobs that are waiting for you with successful completion. Many top companies that push for more innovative business solutions confide in professionals with a certificate from Edureka for its unique approach to training.
|# of Students||6,000|
For those that already have a grasp of the more advanced mathematical concepts involved in machine learning, this course created by Columbia University is perfect for you. This course comes attached with the highest prerequisite for math requiring knowledge of Linear Algebra, Calculus and even probability and a bit of programming to begin. This course is unique from many others not only because of its prerequisites but also due to its approach of passing on the knowledge, focusing more on the probabilistic areas of the field than the more conventional parts.
This shouldn’t send you running if you’re a beginner, it only requires more knowledge in math than the others. As far as the topics covered, even beginners to machine learning can take the course with ease. The course structure moves as follows:
- Maximum likelihood estimations
- Nearest neighbor classification
- Non-negative matric foundation
- Markov models
- Model selection
As you can see these topics are much more specific with some requiring deriving of algorithms as well. If you’re already part of this growing field and have base knowledge of math, this course can be the tool to launch you toward expertise. With a certificate from EdX, you become part of a group of competitive individuals that hold a unique set of skills that others may not.
|# of Students||129,665|
Co-founded by the genius mind of Stanford professor and Google Brain co-creator Andrew Ng, Coursera is at the head of the game with many other programs modeling their structure with help from this one. In this course you will learn with help from the open-source programming language, Octave making it the perfect choice for those who are beginners in the world of programming. All of the fundamentals are covered, including explanations of some of the more complex math like calculus with Andrew Ng himself guiding you through the course.
The course offers learners a well-rounded structure that takes place over 11 weeks covering all the basics and introducing you to more advanced topics toward the end. Among the things you’re exposed to are:
- Linear algebra refresher
- MATLAB tutorial
- Neutral networks
- Machine learning system design
- Anomaly detection
- Recommender systems
- Large scale machine learning
- Photo OCR example for application
All of this explained in detail over the course of 4 months, leaving you plenty prepared to take a leap into the deeper and more specified ends of machine learning. After completion of the beginner course, the best part about Coursera is the opportunity offered to continually advance your knowledge; offering advanced machine learning and Python machine learning for those looking to stay ahead of the game and keep their knowledge up to date.
|# of Students||2,581,212|
This self-paced training course offers 25 separate and specific courses with real life applications explaining the power of machine learning in combination with AWS, Google Cloud, and AI. Here, you can work on actual projects to gain hands on experience preparing you to step foot in the world of programming with confidence. There are courses for beginners that offer a strong foundation for newcomers all the way up to some of the most advanced topics. Coming from the powerful and inspiring company used worldwide, LinkedIn, this program not only gives you all the skills you will need in order to successful in the field but also gives you access to a large community of professionals from the world of development and machine learning.
Majority of courses are in the form of video lectures led by expert developers with experience and knowledge working in the field. Here you will have the opportunity to:
- Create applications
- Program writing with Python
You are able to go at your own pace building upon skills as you move through. All courses feature the programming language Python, making a foundation in the language necessary. There are different levels of machine learning courses, from the very basic and more foundational all the way to the most advanced concepts. You can try the program free for a month to ensure the program is right for you.
|# of Students||26,242|
In this course you will expect to have hands on experience with:
- PHP training
- Python and R programming languages
- Front and backend code
- Advanced SQL
Cezanne Camacho. Electrical Engineer
Mat Leonard, Data Scientist
|# of Students||262,345|
All concepts are taught in a blended method providing you with knowledge of:
- PHP training
- Correct and Incorrect code
- Python training
Frank Kane, Founder of Sundog Education
|# of Students||103,494|
Coming from the renowned name in IT education, this course gives you an in-depth look at:
- Front and Backend development
- Python training
Ansaf Salleb-Aouissi, Computer Scientist
Cliff Stein, Professor of IEOR
David Biel, Computer Science and Statistics
|# of Students||122,3000|
This course is made for those that are looking to enhance their career as a data scientist. Jumping right in to concepts like:
- Likelihood estimations
- SQL training
- Advanced problem solving with Python
John Guttag, Computer Scientist MIT
|# of Students||205,213|