Top 10 Platforms for Machine Learning Courses: Learn and Develop with Experts
Datacamp
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Coursera
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Udemy
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- Build Your Data Portfolio
- 60+ data sets and Templates for Portfolio
- 6 month free courses
- Complete your Degree And Master Programs online
- 7000+ world-class Courses
- Partnered with 275+ leading Universities
- Trusted by 15000 Companies
- AI-powered coding Exercises
- 75K+ instructors and 220K+ courses
- 1000+ expert Authors
- Up-to-date Content
- Community and forum support for advanced learning
- 2.6+ million projects submitted
- 205K+Nano Degree Certificates earned
- 73% of graduates reported a favorable career change
- 21000+ expert-led content
- In-demand skills like AI, Data Science
- 72% of courses cater to Intermediate learner's need
- 4000+ courses
- 260+ leading institutions
- Founded by Harvard and MIT
- Latest Machine Learning Techniques
- 1.1M Notebooks
- 354K High-quality Datasets
- Offer free courses for coders
- Great software library for learners
- Spend 8 hours a week in learning
- Foundational and Advanced courses
- Guides to help learners
- Glossaries for Machine Learning Terminology
In case you are looking to learn more about careers with machine learning and why is it a great field for you, read our in-depth article for the same.
How Did We Review for You?
We have meticulously researched numerous online platforms to provide a perfect list of the top 10 platforms for machine learning courses. During this, we consider the following points with learner intend to help you in decision making:-
Learner’s Suitability: Machine learning is a complex subject that includes supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning. Hence, we ensure that all the platforms meet your learning needs and are suitable for all sorts of learners, such as beginners, intermediate, and advanced.
Updated Material: Machine Learning is a constantly evolving technology. Hence, we ensure that all platforms provide up-to-date learning material so that their learners learn only the latest methods and techniques.
Hands-On Projects: Besides theoretical knowledge, machine learning also needs practical knowledge. We put only those platforms on our list with hands-on projects to practice.
Instructor Credentials: We have reviewed the instructors’ qualifications and experience to ensure a high-quality education for you.
Verified Certificates: We ensure that the platform offers verified certificates upon course completion. User Reviews: We read user reviews on various user rating sites like Trustpilot and G2 the user ratings to pick only the best.
Pricing: We compared the cost of courses across different platforms to provide you with affordable platforms.
Frequently Asked Questions
What are some popular online platforms for studying machine learning?
Popular platforms include Coursera, edX, Udacity, Udemy, DataCamp, fast.ai, LinkedIn Learning, Google AI, and Pluralsight.
How do I choose the right machine learning course?
Consider your current knowledge level, learning goals, course content, instructor reputation, reviews, and ratings, and whether the course includes hands-on projects.
Are there free resources for learning machine learning?
Yes, many platforms offer free courses or the option to audit courses for free. Examples include Coursera (audit option), edX (audit option), and Google AI (free courses).
Will machine learning courses include hands-on projects?
Many courses include hands-on projects to help learners apply theoretical knowledge to practical problems. Projects often involve working with real-world datasets.
Are online machine learning certificates recognized by employers?
Many employers recognize online certificates from reputable platforms, especially when supplemented with a strong portfolio and practical experience.
How can I showcase my machine-learning skills to employers?
You can showcase your skills through a portfolio of projects, participation in competitions (like Kaggle), certifications, and contributing to open-source projects.
Are advanced courses available after completing a beginner machine learning course?
Yes, many platforms offer advanced courses and specializations that explore specific topics, such as deep learning, reinforcement learning, and natural language processing.
What programming languages are commonly used in machine learning?
Python and R are the most commonly used languages due to their extensive libraries and machine learning frameworks, such as sci-kit-learn, TensorFlow, Keras, and PyTorch for Python.
What kind of job roles can I pursue with machine learning skills?
Typical job roles include machine learning engineer, data scientist, data analyst, AI specialist, and research scientist.
How do I stay updated with the latest developments in machine learning?
Stay updated by following machine learning blogs, reading research papers, participating in online forums and communities, attending conferences and workshops, and taking advanced courses.
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