Chevron Left
Advanced Learning Algorithms に戻る

deeplearning.ai による Advanced Learning Algorithms の受講者のレビューおよびフィードバック

4.9
1,210件の評価

コースについて

In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world • Build and use decision trees and tree ensemble methods, including random forests and boosted trees 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 theoretical 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....

人気のレビュー

SL

2022年8月27日

After copleting the course I found all conceptual knowlegde for visualising and implementing the algorithm in my work. Before this course I was not using the full potential of the advanced algorithm

AN

2022年8月20日

Really good introduction to machine learning notions and algorithms such as neural network and decision tree, with many informatives details about how to improve them and examples of implementation.

フィルター:

Advanced Learning Algorithms: 1 - 25 / 232 レビュー

by Changlin F

2022年6月22日

by Yuriy G

2022年7月1日

by Mohamed N M

2022年6月23日

by Randall B

2022年7月28日

by Billy V

2022年7月28日

by Gariman S

2022年7月15日

by Raktim M

2022年6月28日

by Abdullah M

2022年8月25日

by Usama A

2022年7月18日

by phang y s

2022年7月5日

by stephane d

2022年7月9日

by Ovu S

2022年8月3日

by Sawyer A

2022年7月20日

by Radu W

2022年8月11日

by Eric T

2022年8月14日

by Argha B

2022年9月16日

by Echekwu E

2022年9月27日

by Edward H

2022年8月8日

by Pradeep K R

2022年11月12日

by Chien-Wei C

2022年7月16日

by Yousef G

2022年9月10日

by Ivan Z

2022年9月7日

by rcotta

2022年6月28日

by Mohamed J

2022年9月14日

by Enrique B G

2022年9月30日