Chevron Left
Volver a Supervised Machine Learning: Regression and Classification

Opiniones y comentarios de aprendices correspondientes a Supervised Machine Learning: Regression and Classification por parte de deeplearning.ai

4.9
estrellas
5,545 calificaciones

Acerca del Curso

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....

Principales reseñas

JM

21 de sep. de 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

AD

23 de nov. de 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.

Filtrar por:

851 - 875 de 1,263 revisiones para Supervised Machine Learning: Regression and Classification

por Kishore I

15 de ago. de 2022

por emirhan e

7 de ago. de 2022

por Carlo D

26 de jul. de 2022

por Anush R A

12 de jul. de 2022

por Daniel A

11 de jul. de 2022

por Sayed M

10 de jul. de 2022

por 黄金

6 de jul. de 2022

por Yuhao W

4 de jul. de 2022

por Gorgui B M

1 de jul. de 2022

por Henrik S

27 de jun. de 2022

por Xiaodie L

3 de nov. de 2022

por Velizar T

9 de oct. de 2022

por Sharif M

28 de sep. de 2022

por Jeffrey S

29 de ago. de 2022

por Yiğit T

17 de ago. de 2022

por Fateh M

31 de jul. de 2022

por Md. R H

10 de jul. de 2022

por Banriskhem K

9 de jul. de 2022

por ALOK K S

2 de dic. de 2022

por ilma

18 de nov. de 2022

por Guantai N

6 de nov. de 2022

por Arash M

20 de oct. de 2022

por Saurabh A

7 de sep. de 2022

por Aryan A P e

6 de sep. de 2022

por Amir-Ali M

30 de jul. de 2022