Chevron Left
Retour à Supervised Machine Learning: Regression and Classification

Avis et commentaires pour d'étudiants pour Supervised Machine Learning: Regression and Classification par deeplearning.ai

4.9
étoiles
5,522 évaluations

À propos du cours

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Meilleurs avis

AD

23 nov. 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

JM

21 sept. 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

Filtrer par :

326 - 350 sur 1,263 Avis pour Supervised Machine Learning: Regression and Classification

par rashid a

11 août 2022

par Aysan K

22 juil. 2022

par shani d s

17 août 2022

par Robin G

27 juin 2022

par Edwin H

30 oct. 2022

par Hala S

21 août 2022

par Navin N

3 août 2022

par Bruno R S

30 juil. 2022

par Girish S S

17 nov. 2022

par Navidreza G

21 août 2022

par Muhammad H

9 août 2022

par Abdelbasset O

27 nov. 2022

par Kyle D

19 nov. 2022

par mohammad a A

31 oct. 2022

par Caleb S

31 oct. 2022

par Alokkumar B

27 sept. 2022

par Md S I

10 juil. 2022

par Mohammad A S

29 août 2022

par Adeer K

25 oct. 2022

par David G

30 juil. 2022

par Barry d T

10 juil. 2022

par Peregrine

10 oct. 2022

par assia y

2 oct. 2022

par Mohamed C

13 sept. 2022

par Hania E

31 août 2022