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Machine Learning

  • October 12, 2022
  • Home
  • Free Book

Table of Contents

Chapter 1 - Introduction to Authors and Book

  • Author
  • Dr. Rao Muhammad Adeel Nawab

chapter outline

  • The power of smile and appreciation
  • How to achieve excellence in both Technical Skills and Human Engineering through this Book?
  • A brief introduction of the authors of the Book
  • Book contents, book aims and book learning outcomes
  • Book development and teaching methodology

Learn to Smile and Appreciate

Our Beloved Prophet Hazrat Muhammad (PBUH) said (to the nearest meaning)

Your smiling in the face of your brother is charity

Jamia Tirmidhi – Hadith No. 1956
  • A Good Quote
  • Great people have two things on their faces
  • Smile
  • Silence
  • Smile To
  • avoid problems
  • Silence To
  • solve problems

TODO and Your Turn​

Todo Tasks
Your Turn Tasks
Todo Tasks
  • TODO Task 1
    • Write down at least 3 Jokes, share with your colleagues, friends and family members, and Smile from Heart 😊
  • TODO Task 2
    • Write down at least 3 events of your life when someone’s appreciation worked as a turning point for you?
Your Turn Tasks
  • Your Turn Task 1
    • Write down Tasks that you plan to carry out on daily basis to develop a culture of
      • Stay Happy and Keep Happy 😊
      • Appreciation 😊

Life

  • Life
  • Question:
  • Life = Technical Skills (___%) + Human Engineering (___%)
  • Answer:
  • Life = Technical Skills (15%) + Human Engineering (85%)
  • Reference: https://www.youtube.com/watch?v=4js88TyH848
  • Achieving Excellence in Technical Skills
  • Question:
  • How can we achieve excellence in Technical Skills?
  • Answer:
  • Learn Technical Skills by following the best learning methodology, i.e., DO IT YOURSELF
  • Achieving Excellence in Human Engineering
  • Question:
  • How can we achieve excellence in Human Engineering?
  • Answer:
  • Never ever compromise on 3 pillars of Human Engineering
  • Truth
  • Honesty
  • Justice
  • Five-Step Process - Performing / Solving any Real-world Task / Problem
  • Question:
  • What is the five-step process to solve any Real-world Problem?
  • Answer:
  • To completely and correctly solve any Real-world Problem, follow the following five-step process
  • Plan – in Mind
  • Design – on Paper
  • Execute – at Prototype Level
  • Execute – at Full Scale
  • Feedback – from audience and domain experts for further improvement
  • Trade off Between Accuracy and Speed
  • Question:
  • There is a tradeoff between accuracy and speed. When learning a concept, on which aspect should we focus first?
  • Answer:
  • First focus on accuracy, then speed
  • Time Management is Life Management
  • Make your TODO List to
  • organize and prioritize your daily / weekly / monthly Real-world Tasks
  • Effect of Taking Notes
  • Question:
  • If you listen to a Lecture, do you remember ____%? If you take notes of a Lecture, do you remember ____%?
  • Answer:
  • If you listen to a Lecture, you remember 11%? If you take notes of a Lecture, do you remember 89%?
  • What is your Goal?
  • Goals
  • Layer 1 = Become a Student
  • Layer 2 = Become Best Student of Ilm O Irfan Institute, Lahore
  • Layer 3 = Become Best Student of Lahore
  • Layer 4 = Become Best Student of South Punjab
  • Layer 5 = Become Best Student of Punjab
  • Layer 6 = Become Best Student of Pakistan
  • Layer 7 = Become Best Student of South Asia
  • Layer 8 = Become Best Student of Asia
  • Layer 9 = Become Best Student of the World
  • Layer 10 = Become a Benchmark in Teaching and Learning in the History of Mankind
  • Nothing to Lose at Each Layer – Stay Happy and Motivated
  • Advice of My Respected Teacher
  • When you do any Real-world Task,
  • Put Your 100% Effort with Sincerity without Bothering about the Results
  • Question:
  • 100% Effort with Sincerity == > Getting Desired Results It will ____?
  • Answer:
  • 100% Effort with Sincerity == > Getting Desired Results => It will Double Your Confidence
  • Question:
  • 100% Effort with Sincerity == > Getting NOT Desired Results It will ____?
  • Answer:
  • 100% Effort with Sincerity == > NOT Getting Desired Results => It will Double Your Experience
  • Conclusion
  • Nothing to Lose at each Layer of becoming a Benchmark in Teaching and Learning in the History of Mankind Keep Smiling and Stay Motivated

TODO and Your Turn​

Todo Tasks
Your Turn Tasks
Todo Tasks
  • TODO Task 1
    • Write down your level of expertise (beginner, intermediate, expert, excellence) in the following traits
      • Learning any Task by DOING IT YOURSELF
      • Respect of Parents and Teachers
      • Truth
      • Honesty
      • Justice
  • TODO Task 2
    • What change have you made in your goal of life after this Section?
Your Turn Tasks
  • Your Turn Task
    • Write down Tasks that you plan to Perform on a Daily Basis to Improve your
      • Respect of Parents and Teachers
      • Human Engineering Skills
      • Technical Skills

About the Authors​

Life = Technical Skills (15%) + Human Engineering (85%)

Dr. Rao Muhammad Adeel Nawab
Dr. Rao Muhammad Adeel Nawab

  • Profile Summary: DR. Rao Muhammad Adeel Nawab
  • Human Engineering
    • 19+ Years Spent in صحبت of اہلِ اللہ
    • 5+ Years’ Experience of Delivering Motivational Seminars
    • 8+ Years’ Experience of Leading the NLP Research Group
  • Technical Skills
    • Teaching and Research
      • 16+ Years Teaching and Research Experience at University Level
    • Publications
      • 54 International Publications
        • 7 Books
        • 1 Course
        • 25 Impact Factor Journal Papers
        • 21 International Conference/Workshop Papers
      • Supervisions
        • PhD
          • Passed Out       = 5
          • Under Supervision = 5
        • MPhil
          • Passed Out       = 70+
          • Under Supervision = 2
        • Citations + H-Index
          • Citations = 624
          • H-Index = 14

DR. Rao Muhammad Adeel Nawab - Research Profile

Faculty Profile
Research Profile
Faculty Profile

Research Profile

TODO and Your Turn​

Todo Tasks
Your Turn Tasks
Todo Tasks
  • TODO Task 1
    • Write down your profile based on
      • Human Engineering
      • Technical Skills
  •  TODO Task 2
    • Summarize your life in poetry 😊
      • Summarize your life in one sentence 😊
Your Turn Tasks
  • Your Turn Task 1
    • Write down Tasks that you plan to perform daily to improve your profile both in
      • Human Engineering and
      • Technical Skills

Book Aims, and Book Learning Outcomes, and Book Contents​

  • Why - Learn Machine Learning?
  • Nowadays, Machine Learning has become an important and vital part of top and leading companies of the world (for e.g., Google, Amazon, Facebook, Uber etc. make use of Machine Learning to efficiently run their operations)
  • Jobs related to Machine Learning are on the rise and there are better career opportunities for Machine Learning Engineers
  • Machine Learning is commonly and widely used in many fields including
  • Artificial Intelligence
  • Data Science
  • Data Analytics and Data Visualization
  • Cyber Security
  • Game Development
  • Self-driving Cars
  • Medicine and Health Care
  • Natural Language Processing
  • Digital Image Processing
  • Web Development
  • Scientific and Mathematical Computing
  • System Automation and Administration
  • Finance and Trading
  • And Many More 😊
  • Book Focus
  • The focus of the Book is to
  • Learn how to plan, design, and develop high-quality Machine Learning Models (intelligent software’s) to solve Real-world Problems
  • Book Aims
  • The main aims of this Book are as follows:
  • Introduce how to achieve excellence in both Technical Skills and Human Engineering to become a balanced and characterful person
  • Introduce how to tell an interesting, connected, and coherent story in a Book
  • Introduce skills to systematically learn any concept using a Template-based Approach
  • Introduce some of the main topics in Machine Learning, especially learning from examples
  • Develop skills to: (1) analyze, (2) understand, (3) pre-process (if needed) data and then (4) transform data in such a format which Machine Learning Algorithms can understand
  • To develop skills to understand which Machine Learning Algorithms will be more suitable for a given Machine Learning Problem and how to: (1) train, (2) test, and (3) deploy (in real world) Machine Learning Models
  • To develop skills to: (1) plan, (2) design, (3) build, (4) evaluate and (5) deploy serious Artificial Intelligence (AI) Programs (or Models)
  • Book Learning Outcomes
  • By the end of this book, the students should be able to:
  • Live and enjoy the blessings of a balanced and characterful life by putting effort on daily basis to achieve excellence in both Technical Skills and Human Engineering
  • Plan, design, and develop high-quality Machine Learning Models using a Template-based Approach
  • Understand how to pre-process data and represent (transform) data in a format, so that Machine Learning Algorithms can learn from data
  • Understand main categories of Machine Learning Algorithms and what Machine Learning Algorithms are more suitable for which types of Machine Learning Problems
  • Understand, (1) how to train / build a Model using Training Data, (2) how to evaluate the performance of a Model using Testing Data and (3) when it will be suitable to deploy a Model in real-world?
  • Understand how to: (1) build, (2) evaluate, and (3) compare various Machine Learning Algorithms over the same dataset(s)
  • Understand how the following approaches can be used to efficiently solve both Real-world Problems and Machine Learning Problems, including
  • Systematic Thinking Approach
  • Identifying Most Suitable Solution Approach
  • Completeness and Correctness Approach
  • Divide and Conquer Approach
  • Half-Cooked Approach
  • Structured Thinking Approach
  • Inverted Triangle Approach
  • 100% Effort with Sincerity Approach
  • Important Note
  • To successfully achieve all the Book Aims and Book Learning Outcomes, please
  • DO all the TODO and Your Turn Tasks on Time with Truth, Honesty, Justice

Machine Learning Summary

  • Data = Model + Error

Book Outline

  • Why - Learn Machine Learning?
  • Introduction
  • Chapter 1 - Introduction to Authors and Book
  • Chapter 2 - Basics of Human Learning
  • Chapter 3 - Basics of Machine Learning
  • Data
  • Chapter 4 - Data and Annotations
  • Chapter 5 - Data and Annotations – Step by Step Examples
  • Chapter 6 - Treating a Problem as a Machine Learning Problem - Step by Step Examples
  • Model
  • Chapter 7 - Concept Learning and Hypothesis Representation
  • Chapter 8 - FIND-S Algorithm
  • Chapter 9 - Version Space Algorithms
  • Chapter 10 - Decision Tree Learning
  • Chapter 11 - Artificial Neural Network
  • Chapter 12 - Bayesian Learning
  • Chapter 13 - Instance Based Learning
  • Erorr
  • Chapter 14 - Evaluating Hypothesis (Model)
  • Conclusion
  • Chapter 15 - Book Main Findings, Conclusion and Future Work

TODO and Your Turn

Todo Tasks
Your Turn Tasks
Todo Tasks
  • TODO Task 1
    • Write down your aims to take this Book.
    • What is your expectation at the end of this Book?
Your Turn Tasks
  • Your Turn Task 1
    • Select a Real-world task and write down its main contents / activities

Book Development and Teaching Methodology ​

  • Book Development Methodology
  • Book aims to Tell a Connect and Coherent Story using a
  • Simple to Complex, Step-by-Step Approach
  • Step 1: Chapter
  • 100% Work is Done by Teacher
  • Step 2: TODO Tasks
  • 50% Work is Done by Teacher
  • 50% Work is to be Done by Students
  • Step 3: Your Turn Tasks
  • 100% Work is to be Done by Students
  • Book Teaching Methodology
  • Book will be taught using Half-Cooked Approach
  • 50% of Work will be Done by Teacher
  • 50% of Work will be Done by Student

Chapter Summary

  • Chapter Summary
  • To summarize, in this Chapter, I presented
  • The power of smile and appreciation
  • How to achieve excellence in both Technical Skills and Human Engineering through this Book?
  • A brief introduction of the authors of the Book
  • Course contents, course aims and course learning outcomes
  • Course development and teaching methodology

In Next Chapter

  • In Next Chapter
  • In Sha Allah, in the next Chapter, I will present a detailed discussion on
  • Basics of Human Learning
Home Page - Machine Learning
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Chapter 2 - Basics of Human Learning
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