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Machine Learning

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Introductory Lecture

Learn Machine Learning, and make your place in top 3% Data Scientists of the world

  • Language: English
  • Author: Dr. Rao Muhammad Adeel Nawab
  • Offered by: Ilm O Irfan Institute
  • Published on Ilm O Irfan on: October 16, 2022
  • Book completion date: September 15, 2022

Download and Install Python

These Lectures are Delivered in English Language

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Introduction

1

Chapter 1 | Introduction to Author and Book

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Book – introductory lecture

2

Chapter 2 | Basics of Human Learning

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Machine Learning – Basics of Human Learning

3

Chapter 3 | Basics of Machine Learning

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Machine Learning – Basics of Machine Learning

Data

4

Chapter 4 | Data and Annotations

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Supporting Material

Machine Learning – Data and Annotations

5

Chapter 5 | Data and Annotations – Step by Step Example

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Supporting Material

Machine Learning – Data and Annotations – Step by Step Examples

6

Chapter 6 | Treating a Problem as a Machine Learning Problem – Step by Step Examples

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Machine Learning – Treating a Problem as a Machine Learning Problem – Step by Step Examples

Model

7

Chapter 7 | Concept Learning and Hypothesis Representation

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Machine Learning – Concept Learning and Hypothesis Representation

8

Chapter 8 | FIND-S Algorithm

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Machine Learning – FIND-S Algorithm

9

Chapter 9 | Version Space Algorithms

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Machine Learning – Version Space Algorithms

10

Chapter 10 | Decision Tree Learning

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Machine Learning – Decision Tree Learning

11

Chapter 11 | Artificial Neural Networks

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Machine Learning – Artificial Neural Networks

12

Chapter 12 | Instance Based Learning​

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Machine Learning – Bayesian Learning

13

Chapter 13 | Instance Based Learning

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Machine Learning – Instance Based Learning

Error

14

Chapter 14 | Evaluating Hypothesis (Models)

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Machine Learning – Evaluating Hypothesis (Models)

Conclusion

15

Chapter 15 | Book Main Findings, Conclusion and Future Work

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Conclusion and Future Works

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