Machine Learning and Deep Learning are rapidly growing fields that are changing the way we interact with technology. These fields have the power to create intelligent systems that can learn from data and make predictions, decisions, and even create new knowledge. If you’re interested in learning about Machine Learning and Deep Learning, there are many resources available to help you get started.
Best Resources
As I was learning Machine Learning and Deep Learning, I got to the point where I did not understand the basic knowledge of Machine Learning Models and Deep Learning Models. So I decided to start over again, and I used these resources to get things started. I am still learning, and every day is a new learning challenge, so use these resources to hone your skills.
Coursera
Coursera is one of the most popular online learning platforms, and it offers a wide range of Machine Learning and Deep Learning courses. Some of the most popular courses include Andrew Ng’s Machine Learning course, which is widely considered to be the “gold standard” in Machine Learning education, and deeplearning.ai, a series of five Deep Learning courses taught by Andrew Ng.
edX
edX is another popular online learning platform that offers a wide range of Machine Learning and Deep Learning courses. Some of the most popular courses include MIT’s Introduction to Deep Learning and IBM’s Applied AI Professional Certificate.
Udacity
Udacity offers a range of Machine Learning and Deep Learning courses, including the popular Machine Learning Engineer Nanodegree and Deep Learning Nanodegree programs.
DataCamp
DataCamp is an online learning platform that focuses on data science and Machine Learning. It offers a wide range of Machine Learning and Deep Learning courses, including the popular Machine Learning in Python and Deep Learning in Python courses.
Kaggle
Kaggle is a platform for data science and Machine Learning competitions. It offers a wide range of tutorials and resources for learning about Machine Learning and Deep Learning, as well as the opportunity to apply your skills by participating in competitions.
Books
There are numerous books available that cover the subject of Machine Learning and Deep Learning. Some popular titles include “Deep Learning” by Yoshua Bengio, Ian Goodfellow, and Aaron Courville, “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron, and “Pattern Recognition and Machine Learning” by Christopher M. Bishop.
Conferences and Meetups
Attending conferences and meetups is a great way to learn about the latest developments in Machine Learning and Deep Learning, as well as to network with other people in the field. Some popular conferences include NeurIPS, ICML, and ICLR.
Conclusion
In conclusion, learning Machine Learning and Deep Learning can be a challenging, but rewarding journey. With the right resources and a willingness to learn, anyone can become proficient in these fields. Whether you’re interested in a career as a data scientist, machine learning engineer, or research scientist, the above resources can help you get started on your journey to becoming an expert.
So let me know your thoughts and with that, we will see you next time.❤️❤️
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This article was written by Abdul Rafay and published on Future Insight.
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