Introduction to AI, Machine Learning and Data Science

Introduction to AI, Machine Learning and Data Science, available at $27.99, has an average rating of 3.95, with 15 lectures, based on 1016 reviews, and has 28959 subscribers.

You will learn about Introduction to buzz words like AI, Machine Learning, Data Science and Deep Learning etc. Real time examples where Machine Learning can be used to solve real world business problems Introduction to Supervised Learning and Unsupervised Learning Introduction to Natural Language Processing Why python is popular for Machine Learning This course is ideal for individuals who are Beginners to AI, Machine Learning and Data Science or Students or Professionals or Testers, Database Developers or Managers or Java Developers or Full Stack Developers etc. It is particularly useful for Beginners to AI, Machine Learning and Data Science or Students or Professionals or Testers, Database Developers or Managers or Java Developers or Full Stack Developers etc.

Enroll now: Introduction to AI, Machine Learning and Data Science

Summary

Title: Introduction to AI, Machine Learning and Data Science

Price: $27.99

Average Rating: 3.95

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to buzz words like AI, Machine Learning, Data Science and Deep Learning etc.

Real time examples where Machine Learning can be used to solve real world business problems

Introduction to Supervised Learning and Unsupervised Learning

Introduction to Natural Language Processing

Why python is popular for Machine Learning

Who Should Attend

Beginners to AI, Machine Learning and Data Science

Students or Professionals

Testers, Database Developers

Managers

Java Developers

Full Stack Developers etc.

Target Audiences

Beginners to AI, Machine Learning and Data Science

Students or Professionals

Testers, Database Developers

Managers

Java Developers

Full Stack Developers etc.

Lets learn basics to transform your career.

I promise not to exhaust you with huge number of videos.

Artificial Intelligence, Machine Learning, Data Science are the most hot skills in the markets which has potential to help you earn highest salary. These skills has potential to turn your financial to better level which can provide you growth and prosperity.

Welcome to the most comprehensive Introduction to AI, Machine Learning and Data Science course!

An excellent choice for beginners and professionals looking to expand their knowledge on Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised Learning.

This is an introductory course for beginnersto boost your knowledge.This course gives introduction to to AI, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised learning with real time examples where machine learning can be applied to solve or simplify real world business problems.

What you’ll learn

Introduction to buzz words like AI, Machine Learning, Data Science and Deep Learning etc.

Real time examples where Machine Learning can be used to solve real world business problems

Introduction to Supervised Learning and Unsupervised Learning

Introduction to Natural Language Processing

Why python is popular for Machine Learning

Prerequisite:

You just need computer or mobile phone with internet connection to access course material.

No prerequisites !

Happy Learning!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Lets get families with terminologies

Lecture 1: What is Artificial Intelligence

Lecture 2: What is Data Science and Machine Learning

Lecture 3: What is Deep Learning

Lecture 4: What is Natural Language Processing?

Lecture 5: What is Computer Vision?

Lecture 6: What is Supervised Learning?

Lecture 7: What is Unsupervised Learning?

Chapter 3: Variety of business problem statements which Machine Learning can solve

Lecture 1: Lets get started

Lecture 2: APS data to reduce maintenance cost

Lecture 3: Identifying legitimate high-end need of teachers/students for donation

Lecture 4: Automatic Music Generation

Lecture 5: Car steering angle prediction using on road images

Lecture 6: Lets conclude with examples

Chapter 4: Miscellaneous

Lecture 1: Why to use Python for Machine Learning

Instructors

Pradeep D
Programmer, Data Engineer and Instructor

Rating Distribution

1 stars: 74 votes

2 stars: 90 votes

3 stars: 288 votes

4 stars: 284 votes

5 stars: 280 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!