Computer Vision :- Basic Image Processing:
In this article we are going to discuss about the basics of Image processing in more applications oriented way.
1) What is an Image? Digital Image formation?
An image is combinations of “Pixels” nothing but numbers…[Read more]
Basic Math for Machine Learning https://www.youtube.com/playlist?list=PLcQCwsZDEzFmlSc6levE3UV9rZ8yY-D_7
What is Gradient Descent and Stochastic Gradient Descent :-
Mathematically speaking a slope=(delta(y)/delta(x)) is a scalar that is used when there is single variable function, but when there is multiple variable function
we call it term “Gradient” which is a vector, the scalar part is the function’s…[Read more]
The SQL Tutorial for Data Analysis
Machine Learning in Nutshell :-
According to Arthur Samuel(1959), Machine Learning is the technique that gives computers the ability to learn without explicitly programmed.
Steps in Machine Learning:
1) Data Extraction
2) Data Cleansing & Transformations
3) Data Preparations
4) Model Selection
5) Train the…[Read more]
All in one on Machine Learning, Deep Learning, NLP, ML Algorithms using Jupyter notebook https://github.com/tirthajyoti/Machine-Learning-with-Python
Basic intro to linear algebra https://www.youtube.com/watch?v=_MxCXGF9N-8&fbclid=IwAR3NYTmjyX8U1Bni0CJyodzMPlVlWOeH-sv_uw7Shs2MOqJeOj71dEnML6o
17 More Must-Know Data Science Interview Questions and Answers
Part 1 – Machine Learning For Beginners – Basics
Part 2 – MI environment
Part 3 – Python Decision Tree (Theory)
Part 4 – Python Decision Tree (Coding)
Part 5 – Python Decision Tree…[Read more]
If you want to have a full understanding…
Professors working in ML (compiled by Amrith Krishna) https://docs.google.com/spreadsheets/d/e/2PACX-1vS8q_JbDIb6Tbobp3zzJMX7OPLHfHKVwgRlafFduH6O4-eBIxSlYQt313HzPFVciOW9dGiqc-PDakzX/pubhtml?gid=0&single=true
https://www.pyimagesearch.com/2019/05/27/keras-feature-extraction-on-large-datasets-with-deep-learning/ Feature extractions on large Datasets using Deep Learning from ML Enthusiasts Watsapp group.