Making the Most Out of this Book – Your Certification and Beyond – Machine Learning Fundamentals – MLS-C01 Study Guide

Making the Most Out of this Book – Your Certification and Beyond

This book and its accompanying online resources are designed to be a complete preparation tool for your MLS-C01 Exam.

The book is written in a way that you can apply everything you’ve learned here even after your certification. The online practice resources that come with this book (Figure 1.1) are designed to improve your test-taking skills. They are loaded with timed mock exams, interactive flashcards, and exam tips to help you work on your exam readiness from now till your test day.

Before You Proceed

To learn how to access these resources, head over to Chapter 11, Accessing the Online Practice Resources, at the end of the book.

Figure 1.1 – Dashboard interface of the online practice resources

Here are some tips on how to make the most out of this book so that you can clear your certification and retain your knowledge beyond your exam:

  1. Read each section thoroughly.
  2. Make ample notes: You can use your favorite online note-taking tool or use a physical notebook. The free online resources also give you access to an online version of this book. Click the BACK TO THE BOOK link from the Dashboard to access the book in Packt Reader. You can highlight specific sections of the book there.
  3. Chapter Review Questions: At the end of this chapter, you’ll find a link to review questions for this chapter. These are designed to test your knowledge of the chapter. Aim to score at least 75% before moving on to the next chapter. You’ll find detailed instructions on how to make the most of these questions at the end of this chapter in the Exam Readiness Drill – Chapter Review Questions section. That way, you’re improving your exam-taking skills after each chapter, rather than at the end.
  4. Flashcards: After you’ve gone through the book and scored 75% more in each of the chapter review questions, start reviewing the online flashcards. They will help you memorize key concepts.
  5. Mock Exams: Solve the mock exams that come with the book till your exam day. If you get some answers wrong, go back to the book and revisit the concepts you’re weak in.
  6. Exam Tips: Review these from time to time to improve your exam readiness even further.

The main topics of this chapter are as follows:

  • Comparing AI, ML, and DL
  • Classifying supervised, unsupervised, and reinforcement learning
  • The CRISP-DM modeling life cycle
  • Data splitting
  • Modeling expectations
  • Introducing ML frameworks
  • ML in the cloud

Comparing AI, ML, and DL

AI is a broad field that studies different ways to create systems and machines that will solve problems by simulating human intelligence. There are different levels of sophistication to create these programs and machines, which go from simple rule-based engines to complex self-learning systems. AI covers, but is not limited to, the following sub-areas:

  • Robotics
  • Natural language processing (NLP)
  • Rule-based systems
  • Machine learning (ML)
  • Computer vision

The area this certification exam focuses on is ML.