Learn Machine Learning with Real World Examples

Learn Machine Learning with Real World Examples

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 1 Hour | 535 MB

Apply AI/ML Fundamentals in day to day scenarios.

With Artificial Intelligence, we want to augment the abilities of people to enable us to accomplish more, to eliminate tedious repetitive tasks and allow us to spend more time on our creative endeavors. The growth of AI and Machine Learning is going to be more impactful than the invention of the personal computer and the spread of mobile phones into your pocket.

So, what is this course all about? Well, the field of Artificial Intelligence and Machine Learning is extremely broad, and to become an expert in this field can be very difficult since a strong background in computer science as well as a proficiency in programming languages is required. We wanted to eliminate these barriers and democratize AI.

Every few weeks we will be uploading new projects with data sets to apply these very concepts on real world problems and design your own AI/ML Solutions.

We will go over topics like Classification, Regression, Clustering, Natural Language Processing and Computer Vision. And moreover, for everyone of those branches of Machine Learning, we will look at different algorithms and how they can be applied to assist you with Machine Learning.

What you’ll learn

  • Tackle Real-World problems, using Machine Learning while understanding AI/ML Fundamentals, Supervised, Unsupervised Learning, Computer Vision and Natural Language Processing with real life examples.
Table of Contents

Introduction to Spotflock Studio
1 Introduction to Spotflock Studio
2 What is Artificial Intelligence
3 What is Machine Learning
4 Register With Spotflock Studio

Supervised Learning Classification
5 Dive Into Classification

Supervised Learning Regression
6 Dive Into Regression

Unsupervised Learning Clustering
7 Dive Into Clustering

Specializations
8 Computer Vision
9 Natural Language Processing

Projects
10 Project 1 Predicting House Prices using Regression
11 Project 2 Predicting Loan Default Rate using Classification.