Module 3 - Introduction to Machine Learning


Back to Package

Machine learning is one of the most active areas of artificial intelligence, powered by data. In this module, you will learn the essential building blocks of machine learning through the use of case studies. You will be introduced to the data science workflow and frameworks to help you turn business problems into machine learning problems. By the end of this module, you will be able to apply machine learning methods to a wide variety of domains and applications.

Learning Outcomes
  • Identify applications of machine learning in practice
  • Describe the core differences between regression, classification, and clustering, and reinforcement learning
  • Select the appropriate machine learning task for a potential application
  • Reframe a business problem as a machine learning problem

Key:

Complete
Failed
Available
Locked
Session 1(Slides & Replay): Framing Business Problems as AI/ML Problems
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our first AI Foundations Course session Module 3.
Quiz 1: Framing Business Problems as AI/ML Problems
10 Questions  |  2 attempts  |  8/10 points to pass
10 Questions  |  2 attempts  |  8/10 points to pass
Session 2(Slides and Replay): Myth vs Reality: The Data Science Workflow Explained
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our second AI Foundations Course session Module 3.
Quiz 2: Myth vs Reality: The Data Science Workflow Explained
10 Questions  |  2 attempts  |  8/10 points to pass
10 Questions  |  2 attempts  |  8/10 points to pass
Session 3(Slides & Replay): Machine Learning Types: Supervised, Unsupervised & Reinforcement Learning
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our third AI Foundations Course session Module 3.
Quiz 3: Machine Learning Types: Supervised, Unsupervised & Reinforcement Learning
10 Questions  |  4 attempts  |  8/10 points to pass
10 Questions  |  4 attempts  |  8/10 points to pass
Session 4(Slides and Replay): Next Level ML: Ensembling & Automated Machine Learning (AutoML)
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our fourth AI Foundations course session Module 3.
Quiz 4: Next Level ML: Ensembling & Automated Machine Learning (AutoML)
10 Questions  |  4 attempts  |  8/10 points to pass
10 Questions  |  4 attempts  |  8/10 points to pass
You must be logged in to post to the discussion
  • KS

    In the Slide 20 - Ensembling Example provided, is it based on the Ensembling technique "Stacking " ? Also, can you please advise the algorithms that are applied to generate the base model.

    Reply
  • FV

    Hi Karthik, slide 20 for the Ensembling module is just an example to showcase the power of Ensembling. It hasn't been generated by code.It has been taken from the following paper which you can read for more information:http://www.scholarpedia.org/article/Ensemble_learning

    Reply
  • PM

    I cant get in because I need the password 

    Reply
  • PM

    what is the password for the session now?

    Reply
  • RS

    Look at typo:

    Decision Trees are not at all intrpretable

    TRUE
    FALSE

    Reply
  • FV

    Thank you for your feedback, Rino. This has been fixed now.

    Reply
  • MZ

    False.

    Reply
  • FV

    Hi everyone, thank you for bringing to our attention the issues about the quizzes. We have disabled quiz 3 and 4 for now, and we will be fixing some of the questions. We will also give two extra attempts for these quizzes, and we will try to do a review on these topics during the study sessions this weekend. Thank you once again for your patience and for your feedback. 

    Reply
  • RS

    The problem in quiz testing is probably due to the English as a second language...

    Reply
  • RS

    Please check wording and content of test questions in Quitz No. 3 vs. slide and lesson content: there is not a direct correspondence between the two and this makes students fails...

    Reply
  • RS

    Some question in test are somewhat not clear like his one:

    1. Which statement is true about prediction problems?

    The output must be categorical
    The output must be categorical

    Reply
  • MZ

    Unfortunately, allowed quiz attempts has exceeded and unfortunately i did not pass the test. What i have to do now? is there any other attempt?

    Reply
  • RS

    Hi !

    At the URL: https://higherlogicdownload.s3... I got an error...

    (can't download the slides...)

    Reply
  • SP

    The slides that you were trying to access are visible once again in its particular module (inside the session you are trying to access). 

    Reply
  • FV

    Hi Rino, this issue has been resolved. Thank you for your patience.

    Reply
  • FV

    Hi Rino, we are looking into this issue right now. Thank you for letting us know about this. 

    Reply
  • KS

    Do we have a way to know the questions that were answered incorrectly on a quiz and option for us to retake or know the correct answer

    Reply
  • FV

    Hi Karthik, since this are very short quizzes, we choose not to show the correct answers. If someone is struggling passing a quiz, we have the 2 weekly study sessions to ask questions and prepare for the quiz. You get 2 attempts, so in case you don't pass the first one, you can reach out to us or attend the study sessions and we will help you. 

    Reply
  • MZ

    Franklin, unfortunately i missed those group study session and now already availed my 2 attempts but did not passed the test. What i have to do now? Is there any other chance for me to re-attempt the test.?

  • RC

    We are live Module 3 - Session 1!

    Reply