What is the best online training for machine learning, artificial intelligence, big data and related technologies?

There are several reputable online training platforms and resources available for learning machine learning (ML), artificial intelligence (AI), big data, and related technologies. Here are some popular options:

1. Coursera: Coursera offers a wide range of courses and specializations on ML, AI, and big data from renowned universities and institutions. Courses like "Machine Learning" by Andrew Ng and "Deep Learning Specialization" are highly regarded.

2. edX: edX is another online learning platform that offers courses and programs on ML, AI, and big data. You can find courses from leading universities like MIT and Harvard, such as "Introduction to Artificial Intelligence" and "Big Data Fundamentals."

3. Udacity: Udacity provides nanodegree programs focused on AI, ML, and data science. Their "Machine Learning Engineer" and "Artificial Intelligence Engineer" nanodegrees are well-regarded and offer hands-on projects and mentorship.

4. DataCamp: DataCamp is known for its interactive and hands-on courses in data science, ML, and AI. They have courses covering various topics, including Python for Data Science and Machine Learning, Deep Learning, and Natural Language Processing.

5. Fast.ai: Fast.ai offers practical and accessible online courses on deep learning. Their courses, such as "Practical Deep Learning for Coders," emphasize hands-on coding and have been well-received by learners.

6. TensorFlow and PyTorch Websites: The official websites of TensorFlow and PyTorch, popular deep learning frameworks, provide comprehensive documentation, tutorials, and resources for learning ML and AI. These resources can be a great starting point for diving into deep learning.

7. Kaggle: Kaggle is a platform for data science competitions and hosts a wealth of datasets and tutorials. It offers hands-on experience through real-world projects and provides an opportunity to learn from and collaborate with the data science community.

Remember that the "best" online training platform depends on your specific learning needs, preferences, and prior knowledge. It's recommended to read reviews, explore course syllabi, and consider the teaching approach and level of support offered by each platform. Additionally, you may find it helpful to supplement online courses with books, research papers, and practical projects to deepen your understanding and gain practical experience.

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