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Structuring Machine Learning Projects, deeplearning.ai

4.8
21,602 ratings
2,459 reviews

About this Course

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....

Top reviews

By 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.

By NI

Nov 11, 2017

Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.

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2,426 Reviews

By Yusri Dwi Heryanto

Dec 17, 2018

enjoyable

By Santiago Ibañez Caturla

Dec 16, 2018

Un curso que no se encuentra en ningún sitio. Necesario para estructurar proyectos (en todos sitios te enseñan a hacer modelos pero en pocos te enseñan a estructurarlo bien y a saber cómo y en qué mejorar)

By Manish Nayak

Dec 15, 2018

very informative course

By 侯宇翔

Dec 14, 2018

Nice work but i think we need more guidelines of how to finish a successful machine learning project

By Jason DeBoever

Dec 14, 2018

5 start learning with 1 start video editing. An intern and Adobe Premiere with less than a week would fix it!

By Sai Kumar

Dec 14, 2018

this course very important other than previous courses because we need to understand the data and split the data set across the train, dev and test and making strategies for training the dataset using model. Thanks for this course.

By Wadigzon Diaz-Wong

Dec 14, 2018

excellent overview of best practices when organizing your ML project

By Archer Mo

Dec 13, 2018

Would be nicer if there are coding assignment that can guide us through some of the applications mentioned in the lecture

By Bhaskar Deka

Dec 13, 2018

Excellent course. Loved the case study format - good break from the other style of the rest of the courses.

By Oleksiy Simkiv

Dec 12, 2018

Valuable insight to ML system design