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The JAX Deep Learning course is now available, and the first batch is on its way. It is taught by a senior AI researcher who has taught this course extensively and also leads the JAX Deep Learning Research Lab. The course focuses on creating deep neural networks from scratch, using popular frameworks such as TensorFlow, Keras, PyTorch, and MXNet. As the course is ongoing, there will be new content added periodically. The first batch starts on October 1, and the course is free, open, and open-source. Stud
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I wrote about who can benefit the most, how to pass the certification exam, and the best places for taking it. Then I wrote about how to start the exam (easily!) by reviewing the notes, taking notes, and studying for the test. Section: The Benefits of Certifications Section: Practical Exam Preparation Tips I wrote about practical preparation tips for the exam, covering subjects such as algorithmic thinking, data structures, computer architecture, and more. I emphasized the importance of reading and understanding the exam
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I’m ready to share a piece of information that might be the greatest breakthrough the AI-science world has ever seen. AI-science is an exciting field that combines Artificial Intelligence (AI) and Computer Science. It is growing at a fast pace, and it can do almost anything. Machine Learning is the foundation of AI. It is not an acronym, but it’s a subset of Artificial Intelligence. Machine Learning is a set of algorithms that enable machines to learn and improve themselves without being programmed by news