Machine learning is a rapidly growing field with endless possibilities. As technology advances, the need to stay updated with the latest trends and skills becomes crucial. Fortunately, there are many sites with massive courses and tutorials for that if you’d like to enter the field of machine learning. Irrespective of whether the visitor is a novice or wishes to sharpen his or her skills, the sites offer a great starting point.
Best Website to Learn Machine Learning
- Coursera offers a wide range of machine learning courses, from beginner to advanced levels.
- Udacity provides specialized programs focused on machine learning fundamentals.
- edX features courses taught by experts, covering various topics in machine learning and AI.
- Fast.ai offers free courses designed to make deep learning accessible to everyone.
- Kaggle Learn provides hands-on learning experiences with real-world data sets.
1. Coursera
Coursera, founded in 2012 by two Stanford professors, offers a wide range of courses from computer science to business. It’s a great place to learn A.I. and machine learning to advance your career. The platform provides free and affordable educational content, including projects, quizzes, exercises, and video lectures. These courses, specializations, and certificates have been hand-picked by the learning team at Coursera.
First, make an account and select from a wide range of courses which are available. The great thing with these classes is that you only need a computer and internet connection and no matter how complex or simple the courses are; there are classes for the most basic levels to reasonably complex specializations. There you are standing in front of the course list and you don’t have a clue which one to choose? It is also useful to visit review web sites and see what other students and professionals have to say about possible services to make the right choice.
Coursera offers structured learning with quizzes and practical insights. The platform is user-friendly, making it easy to navigate and track your progress. Upon completion, you can earn shareable certificates. Courses are mainly in English but come with subtitles in 20 languages. So, if you’re looking to dive into machine learning, Coursera is a solid choice.
2. Udacity
Udacity is a fantastic place to learn machine learning, especially if you prefer hands-on learning over theory. They offer a variety of projects that guide you from start to finish with step-by-step video walkthroughs. This means even beginners can get practical experience with machine learning.
One of the standout programs is the AI Artificial Intelligence Nanodegree. This course is taught by industry experts like Sebastian Thrun, Thad Starner, and Peter Norvig. It covers a wide range of AI topics, including optimization algorithms, likelihood functions, minimax search, and Bayesian networks.
Udacity also provides personalized career guidance services. Whether you’re just starting out or looking to advance your career, they have something for everyone!
3. edX
edX is another fantastic platform to learn machine learning for free.It provides a great variety of courses on subjects like deep learning, artificial intelligence, computer vision, natural language processing, and many others. The courses are taught by expert tutors and the format is more of practical rather than theoretical with techniques like case analysis and actual application examples for problem solving.
One of the standout courses is the HarvardX Data Science: Machine Learning course. During this course, you’ll be able to create a movie recommendation system: learn about which machine learning algorithms are used most often today, how to use principal component analysis, and what regularization is. As for its relevance, this course is perfect for those learners who want to know more about machine learning.
Overall, edX is an excellent resource for anyone looking to build in-demand skills in AI, cybersecurity, coding, and lots more. This means that definitely that there are courses for all levels of learners, beginning with the novices to the professionals in the given fields. With its interactive lessons and comprehensive coverage of topics, edX is an excellent choice for anyone looking to advance their career.
4. Fast.ai
Fast.ai is an online course created and run by Jeremy Howard, an experienced data scientist and entrepreneur. The course covers machine learning from a practical perspective, with lessons ranging from the basics all the way to advanced deep learning algorithms.
What makes Fast.ai unique is its focus on building AI models quickly and then refining them iteratively. This approach makes it easier for beginners to quickly understand the fundamentals of machine learning, while still being able to create functional models in a fraction of the time of other courses.
In addition, Fast.ai also provides plenty of support for those who need help understanding a concept or debugging their code. The online community provides helpful guidance and feedback, allowing learners to stay on track in their ML journey.
The Fast.ai course is full of examples and projects that you can use to get your hands dirty with real-world applications. You’ll learn important concepts such as natural language processing (NLP) and convolutional neural networks (CNNs) while being given the opportunity to immediately apply what you’ve learned in small projects.
It’s astounding how much time and effort the founders of Fast.ai have put into this course — and other courses on their site. The content is based on the University of San Diego’s Data Science program, so you’ll find that the lectures are done in a classroom with students, similar to the MIT OpenCourseware style.
5. Kaggle Learn
Kaggle Learn is a fantastic place to start if you’re new to machine learning. Their “Intro to Machine Learning” course is perfect for beginners. It covers the basics and helps you build your first models. The course starts with an overview of how machine learning models work and their practical uses. You’ll quickly move on to creating powerful models.
One of the best things about Kaggle Learn is the variety of topics. You can dive into deep learning, data preparation, model validation, and more. Plus, all the lessons are video-based with practical exercises, making it easy to follow along.
The platform is super user-friendly and designed for self-paced learning. And the best part? It’s all free! You don’t have to worry about any hidden costs. If you ever get stuck, there’s a community forum where you can ask questions and join discussions. So, if you want to learn the most important language for data science, Kaggle Learn is a great choice.
6. Google AI
Google AI offers a treasure trove of resources for anyone keen on diving into machine learning and AI. One of the standout features is the “Machine Learning & AI Courses” provided by Google Cloud Training. These courses are designed to give you a solid foundation in machine learning and AI technologies.
You can also gain practical experience by participating in Kaggle competitions, where you can apply your machine-learning skills to real-world challenges. Alternatively, you can explore the comprehensive library of training resources available on Learn with Google AI to further expand your knowledge.
The curriculum covers a wide range of topics, including:
- Linear and Logistic Regression
- Classification
- Training and loss
- Reducing Loss – gradient descent, learning rates
- TensorFlow
- Overfitting
- Training sets, splitting, and validation
- Feature Engineering and cleaning data
- Feature Crosses
- Regularization – L1 and L2, Lambda
- Model performance metrics
- Neural Networks – single and multi-class
- Embeddings
- ML Engineering
The courses are free, making it accessible for everyone. The interactive labs and hands-on learning experiences make it easier to grasp complex concepts. If you’re looking to master machine learning and AI, Google AI is a fantastic place to start.
7. Stanford University Online
Stanford University Online offers a top-notch “Machine Learning Specialization” course on edX. This program is a great starting point for anyone interested in machine learning. The course is designed in collaboration with DeepLearning.AI, ensuring high-quality content. You can enroll in all three courses in the specialization to get a comprehensive understanding of the subject.
Key Features
- Instructor Expertise: Courses are developed by Stanford University and DeepLearning.AI.
- Certifications Offered: You can earn a certificate upon completion.
- Duration of Courses: The courses are self-paced, so you can learn at your own speed.
- Community and Support: You’ll have access to course forums and support resources.
If you’re looking for a flexible and thorough introduction to machine learning, Stanford University Online is a fantastic choice.
8. MIT OpenCourseware
MIT OpenCourseWare is a fantastic resource for anyone interested in learning about machine learning. MIT OpenCourseWare is a web-based publication of virtually all MIT course content. This means you get access to a treasure trove of knowledge for free. One standout course is the “Mathematics of Big Data and Machine Learning,” taught by Dr. Jeremy Kepner and Dr. Vijay Gadepally. This course dives deep into artificial intelligence and machine learning, making it a must-see for anyone serious about the field.
Here are some highlights:
- Free access to all course materials.
- Self-paced learning, so you can go as fast or as slow as you need.
- Access to course forums and support resources for any questions you might have.
Whether you’re just starting out or looking to deepen your understanding, MIT OpenCourseWare has something for everyone.
9. DeepLearning.AI
DeepLearning.AI is a fantastic platform if you’re looking to dive deep into the world of neural networks and machine learning. Founded by Andrew Ng, this site offers a range of courses that are both comprehensive and easy to follow. The Deep Learning Specialization on Coursera provides a robust foundation in machine learning theory and practice.
One of the best things about DeepLearning.AI is its focus on practical applications. You’ll get to work on real-world projects that help you understand how to deploy models efficiently. This is crucial for anyone looking to apply their skills in a professional setting.
The courses cover a variety of topics, including:
- Neural Networks and Deep Learning
- Improving Deep Neural Networks
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
These courses are designed to take you from a beginner to an expert, making it a great resource for anyone serious about machine learning. If you’re interested in deep learning, this is definitely a platform you should consider.
10. GUVI
GUVI offers an impressive “Artificial Intelligence & Machine Learning” course in collaboration with IIT-M Pravartak. This program is designed to help you master AI and ML skills within just 5 months. I am thoroughly impressed with GUVI’s data science course. The well-structured modules and engaging content provide a solid foundation in data science.
Course Diversity
The course covers a wide range of topics including AI, ML, cloud technologies, deep learning, and NLP. You’ll also learn about machine learning model building and deployment.
Learning Style
GUVI offers live online classes, hands-on workshops, and hackathons. You also get lifetime access to recorded videos, which is super helpful for revisiting complex topics.
Pricing Structure
The course fee is INR ₹89,999, but there are EMI options available to make it more affordable.
Platform Usability
The program is entirely online, making it convenient for anyone to join from anywhere.
Certifications Offered
Upon completion, you’ll receive a globally recognized certification from GUVI and IIT-M Pravartak.
Language Options
The course is available in both English and Tamil, making it accessible to a wider audience.
Instructor Expertise
The course is taught by IIT professors and industry experts, ensuring you get top-notch education.
Final Thoughts
In summary, learning machine learning has never been more accessible, thanks to the wealth of resources available online. From Coursera to Udacity, and from edX to Google AI, each platform offers unique features that cater to different learning styles and needs. Whether you’re just starting out or looking to deepen your knowledge, these websites provide valuable tools and courses to help you on your journey. So, dive in, explore these resources, and start your adventure in the exciting world of machine learning today!
Really detailed post. First link I clicked on from the Google search, and it has provided exactly what I was looking for 🫡