Machine Learning | Deep Learning | Data Science | Artificial Intelligence stuff for beginners at one place.
The most difficult thing for data science beginners is to choose relevant articles, books, blogs and courses among millions available in the internet.
Here is the comprehensive list of courses, blogs which might be super useful for freshers and people taking interviews.
Please follow in the order mentioned:
I have kept the list to minimum so that it is easy to follow.
- Calculus (Mathematics)
3. Programming language ( Python)
4. Linear Algebra ( Advanced + Basics)
Linear Algebra and its applications:
MIT (Professor Gilbert Strang): https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
Available in you tube also.
5. Machine Learning | Data Science | Artificial Intelligence
Bishop, Christopher M. Pattern Recognition and Machine Learning. Springer, 2006. ISBN 978–0–387–31073–2
Alpaydin, Ethem Introduction to Machine Learning. MIT Press, 2014. ISBN 978–0–262–02818–9
( PDF version is available on internet)
Machine Learning (Andrew Ng): https://www.coursera.org/learn/machine-learning
Deep Learning (Andrew Ng): https://www.coursera.org/specializations/deep-learning
Applied AI ( Easy to understand):https://www.appliedaicourse.com/
6. Interview | Blogs
Linkedin (Vipul Patel:)
Puzzles | Programs:
Free links to practice ML programs with GPU:
Google Colab: https://colab.research.google.com/
Neural Network Playground: https://playground.tensorflow.org/
I will keep updating the link if something interesting comes up.
“ Nothing is more effective than consistency when it comes to making your company, or your performance, stand out.”
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