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How to install CUDA and run Pytorch on Linux

In order to run Pytorch with CUDA sucesfully, we need to install 2 things:

• The CUDA Toolkit from NVIDIA, which includes the CUDA drivers and NVIDIA drivers
• The CUDA Toolkit from Conda, comes along with Pytorch, to make pytorch interacts with CUDA driver

Check the version of CUDA

• Check the current CUDA version that is supported by Pytorch. In the image below we can see that currently Pytorch supports CUDA 11.3
• 
• Next, check if this CUDA version is supported for your GPU. Check the GPUs supported session in this CUDA wikiperdia.

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About Python	Python

About Python

What is Python?

• Python is an OOP language, which means that it can model real-world objects.
• Python is an interpreted language.

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Pandas	Pandas

A Quick Start with Pandas

What is Pandas?

Pandas is an open-source Python Library providing high-performance data manipulation and analysis tool using its powerful data structures. The name Pandas is derived from the word Panel Data.

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Teaching vs Presenting	Teaching Research Prep

Teaching Vs Presenting - How to Teach Better

A teacher makes sure that their students truly understand the information and take action with it.

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title	tags
Time Series Analysis	Time Series

Time Series Analysis

A normal machine learning dataset is a collection of observations.

For example:

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Regular Expression (RE) in Python	Regular Expression

Regular Expression in Python

Control Characters

+ ? . * ^ $ ( ) [ ] { } | \

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What is Derivatives ?	Calculus

What is the Nature of Derivatives?

In algebra you learned to calculate the slope of a straight line. y = mx + b, right? m is the slope.

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Machine Learning - Recommendation System	Machine Learning, Recommendation System

Machine Learning - Recommendation System

What is Recommendation System ?

A Recommender System (RecSys) or a Recommendation system is a subclass of information filtering system that seeks to recommend relevant items for users, based on their preference. Preference and relevance are subjective, and they are generally inferred by items users have consumed previously.

Recommendation Techniques

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About Statistical Learning	Machine Learning, ISL

About Statistical Learning

Refs: Chapter 2 - Introduction to Statistical Learning (ISL)

By convention:

• X: predictors, features, input variable, independent variable or sometimes just variable.

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Naive Bayes Classifier	Machine Learning, Classification, Naive Bayes

Naive Bayes Classifier (NBC)

Naive Bayes is a simple, fast and reliable probabilistic model. It has been widely used for classification tasks but especially work well with NLP problems.

Principles of NBC

"Naive" Part: