@BMBloghost
01
Learn about the history, concepts, and techniques of AI such as ML, deep learning, NLP, computer vision, and more.
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Learn about the different types of AI systems, how they are used in various industries and sectors, and how to spot opportunities for AI in your own domain.
03
Learn how to use Python libraries such as NumPy, pandas, matplotlib, scikit-learn, TensorFlow, Keras, PyTorch, and more.
04
Learn about the theory behind machine learning algorithms such as linear regression, logistic regression, decision trees, random forests and more.
05
Learn about the applications, challenges, and techniques of generative AI, such as GANs, VAEs and transformers.