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Retour à Machine Learning Algorithms: Supervised Learning Tip to Tail

Avis et commentaires pour d'étudiants pour Machine Learning Algorithms: Supervised Learning Tip to Tail par Alberta Machine Intelligence Institute

4.7
étoiles
401 évaluations

À propos du cours

This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML. To be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute....

Meilleurs avis

TH

14 mai 2022

This is an excellent course which goes into some depth on the different ML models and underlying complexity but it avoids getting bogged down into the details too much.

SK

11 avr. 2020

Excellent course. In which I had in-depth knowledge of all algorithms and the way she explained attracts to listen except for her spontaneity and speed in progressing.

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26 - 50 sur 64 Avis pour Machine Learning Algorithms: Supervised Learning Tip to Tail

par dinesh k

4 oct. 2020

Great learning..Talked almost all important issues.

par David B T

3 avr. 2021

Good introduction for applying ML at a high level.

par SATHEESH K G

28 juin 2020

Good content and nicely delivered!

par Saulo A G S

29 oct. 2020

I learn many new concepts

par Cheng H Z

10 oct. 2019

Explained things clearly

par KANALA J

7 déc. 2020

Excellent Teaching!:)

par RIMMON B

1 oct. 2020

Really cool teaching!

par UPPUNURU K R

8 déc. 2020

Great expilination

par KOTA V

6 déc. 2020

good for learning

par Jorge M R V

14 mars 2021

excellent course

par AVASARALA S

7 déc. 2020

Learnedly well

par D V R

23 déc. 2020

Great Course

par Danilo C D C J

17 sept. 2020

Nice course!

par RUCHITHA S K

6 sept. 2021

It was good

par kaki m p

16 déc. 2020

good course

par 221810304033 N V V

5 août 2021

too good

par KONDAPALLI D

11 nov. 2020

great!

par 121710317007 C J

12 déc. 2020

good

par MATTHURTHI P V D R

12 déc. 2020

good

par Harika B L

9 déc. 2020

good

par 121710308009 B G

9 déc. 2020

good

par KANDULA J C

21 nov. 2020

good

par VUPPUTURI R K

28 oct. 2020

Good

par CHILUKURU S A

22 oct. 2020

nice

par Ubeydullah K

11 nov. 2021

I am grateful to have attended this course. I have learned quite a lot and I believe, now, I have a solid general understanding of some of the most common ML algorithms. The instructor, Anna Koop is very knowledable and she has a very clear way of explaining the concepts. The reason why I haven't rated it 5-star is because the course is not really designed around practice. It is rather conventional in the sense that the instructor takes the central stage and students don't get to practice much. Quizzes are good, but they are far from being enough to give learners actual experience of "doing" machine learning. I am aware of the vastness of the field, and maybe that's why they kept the course intructor centered, but I still expect courses to push learners more in trying out the methods themselves and learning by doing. Still, the course is very beneficial and has valuable content. It is a great knowledge source as well. Warmest regards.