Chevron Left
Volver a Structuring Machine Learning Projects

Structuring Machine Learning Projects,

26,051 calificaciones
2,809 revisiones

Acerca de este Curso

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

Principales revisiones

por AM

Nov 23, 2017

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

por WG

Mar 19, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

Filtrar por:

2,771 revisiones


Apr 18, 2019

Awesome course. I learnt a lot about strategies to structure the ML projects in a very efficient way.

por Juan Pablo Usuga

Apr 17, 2019

I rarely rate online courses. However, this was completely worth it! Excellent course with a lot of "know-how" knowledge. I fully recommend it.

por Ming Lei

Apr 17, 2019



Apr 17, 2019

Amazing course to understand the real life practical application of Machine learning.

por 张磊

Apr 17, 2019


por Syed Abdul Rafay Hammad

Apr 15, 2019

The instructor voice was quite low. I couldn't hear him properly many times.

por Yan

Apr 15, 2019

In this section, only strategies discussed and no programming practice. So I don't think I really understand those tricks. Maybe when I enroll in real projects, those magic will show their powers.

por Jorge Ballesteros

Apr 15, 2019

Great content on how to tune and adjust your neural networks for a proper deep learning solution

por Ved Prakash Gupta

Apr 15, 2019

Learned a lot about dealing with datasets where training data and test data might not have the same distribution. In a practical deep learning project, a lot of decisions are strategic and this course will definitely help in making better decisions.

por Saber El harti

Apr 15, 2019