The article on Machine Learning is quite beneficial for both beginning and seasoned programmers.
You can find all 4 chapters right here. Each chapter includes a number of subjects that provide you with the most comprehensive understanding of machine learning.
Let’s begin the detailed explanation of each Chapter for novices in machine learning.
CHAPTER 1- INTRODUCTION TO MACHINE LEARNING
It is an area of study that aids in the computer’s ability to comprehend human language. It functions by using data and algorithms that mimic how people learn and comprehend computer programming.
Chapter 1’s topics include – Theory, What is machine learning, Why machine learning, When should you use machine learning, Types of Systems of Machine Learning, Supervised and unsupervised learning, The most important supervised algorithms, The most important unsupervised algorithms, Reinforcement Learning, Batch Learning, Online Learning, Instance-based learning, Model-based learning, Bad and Insufficient Quantity of Training Data, Poor-Quality Data, Irrelevant Features, Feature Engineering, Testing, Overfitting the Data, Solutions, Underfitting the Data, Solutions, Exercise, Summary, and Reference.
CHAPTER 2- CLASSIFICATION
The classification of machine learning provides information on the properties and operation of the technology. It is used to specify the kind of machine learning training data.
CHAPTER 3- HOW TO TRAIN A MODEL
You can get all the details regarding the regression system right here. Additionally, an image classifier is used.
The topics covered in Chapter 3 are- Linear Regression, Computational Complexity, Gradient Descent, Batch Gradient Descent, Stochastic Gradient Descent, Mini-Batch Gradient Descent, Polynomial, Regression, Learning Curves, Regularized Linear Models, Ridge, Regression, Lasso Regression, Exercises, Summary, and Reference.
Chapter 4- DIFFERENT MODELS COMBINATIONS
It really aids in your understanding of various machine learning models and how they interact with one another.
Several topics are explored in Chapter 4 including – Implementing a simple majority classifier, Combining different algorithms for classification with a majority vote, and Questions related to Machine Learning and its different models.
One of the finest learning resources for programmers who wish to pursue careers as developers is machine learning. If you’re interested in learning more about machine learning, check out the book’s official pdf.
Even if you are a beginner, it helps a lot to notice what Machine Learning is and why we learn when you read the article on Machine Learning.
I really hope you enjoy and find value in this post for your future education.