Getting started with AI and ML

1. “Getting Started with AI & ML”
Fig 2: Unsorted Data.csv
Title Context
Name Knowledge Institute of Technology
College Higher Studies Aspirant
Current Heading Neavil Porus A
Experience Machine Learning Alumnus 2020 – Cognizance, IIT Roorkee
Fig 1: My Face :D
Fig 3: Content Slide
“For Beginners”

2. Why AI??
• AI - Artificial Intelligence………..
• ML – Machine Learning……..
• DS – Data Science………
• DL - Deep Learning…….
• All these terms may sound Familiar right??
But these are the buzz words that we are currently
working with in the recent times.
Eg : Instagram, Whatsapp.
Sentiment Analysis using relevant data
Machine Learning Algorithms

3. 7 Steps to do in order to learn AI:
• Start brushing up your mathematical skills. [Statistics]
• Learn to use Excel
• Understand the core concepts behind how it works and why it
works?
• Do not aim for perfection but aim for accuracy
• Learn about Data and Cloud
• Always be ready to mix AI with anything (Web Development / Cyber
Security / Finance / Healthcare)
• Understand that AI is like “Electricity which can be used to run
electronic and electrical devices”.

4. Websites and Resources
• Coursera – Machine Learning by Andrew NG
• Udacity – AWS Machine Learning Nanodegree
• Udemy – Artificial Intelligence A-Z
• Kaggle – To learn more about datasets and how reality works
• Dockship.io – To start Competing with ML Enthusiasts
• Google AI Hub – To gain more exposure towards real time projects
Mention : GITHUB!!!

5. One last slide:
• Start doing projects that doesn’t make any sense.
Example : Image Background Remover using python
• Start Networking with Like Minded Engineers who are already into
the industry.
• Linkedin can always come in handy. Naukri, Glassdoor can help you get some
internship offers too.
Focus on the big picture.

6. Any Queries??