Machine Learning

Python’s popularity is still backed by a rock-solid community of computer scientists, data scientists, and AI specialists. But if you have ever been at a dinner table with these people, you also know how much they rant about the weaknesses of Python. From being slow to requiring excessive testing, to producing runtime errors despite prior testing — there is enough to be pissed off about. Therefore more and more programmers are adopting other languages — the top players being Julia, Go, and Rust.  Julia is great for mathematical and technical tasks, while Go is awesome for modular programs, and Rust is the top choice for systems programming. Since data scientists and AI specialists deal with lots of mathematical problems, Julia is the winner for them. And even upon critical scrutiny, Julia has upsides that Python cannot beat. Why Python is not the programming language of the future When people create a new programming language, they do so because they wa...

The Main Courses out of which each person has to do so, to get into Machine Learning are: 1. Machine Learning Certification by Stanford University (Coursera) 2.  Deep Learning Specialization by deeplearning.ai (Coursera) 3. Machine Learning DataScience Certification from Harvard University (edX) 4. Machine Learning DataScience Certification from IBM (Coursera) 5. Machine Learning with Tensorflow on Google Cloud Platform 6. Machine Learning Certification by University of Washington (Coursera) 7. Machine Learning Training A-Z: Hands-On Python and R for Data Science (Udemy) 8. Mathematics of Machine Learning  (Coursera) 9. Data Science Specialization - John Hopkins University  (Coursera) 10. Python for Data Science and Machine Learning (Udemy) 11. Deep Learning Training A-Z: Hands-On Python and R for Data Science (Udemy) 12. Introduction to Machine Learning (IIT - KGP) by Prof Sudeshna Sarkar (NPTEL) 13. Introduction to Machine Learning (IIT - M) by Prof. Balaraman Ravindr...