DataCamp’s tutorial on machine and deep learning is a valuable resource for anyone interested in diving into the world of data science. It covers foundational concepts in machine learning and discusses the complexities of deep learning, including neural networks, convolutional networks, and recurrent networks. It explains the clear differences between the concepts of Machine Learning versus Deep Learning.

What sets this tutorial apart is its hands-on approach, offering practical exercises and coding challenges to help learners reinforce their understanding and develop practical data science skills. It’s an accessible entry point for beginners and a useful tool for those looking to expand their knowledge. Additionally, the tutorial fosters a sense of community, providing opportunities for learners to connect with like-minded individuals and access expert guidance.

Credits: DataCamp