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学生对 提供的 Introduction to Machine Learning in Production 的评价和反馈

1,774 个评分


In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application. Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills. Week 1: Overview of the ML Lifecycle and Deployment Week 2: Selecting and Training a Model Week 3: Data Definition and Baseline...



Jun 4, 2021

really a great course. It'll really change your way of thinking ML in production use and will help you better understand how can you leverage the power of ML in a way that I'll really create a value


Aug 14, 2021

Excellent course, as always. Very well explain for both Data Sicientist, Software engineer and Manager (with some basics undertsanding of ML). One of these courses that Data Sientist should follow.


76 - Introduction to Machine Learning in Production 的 100 个评论(共 354 个)

创建者 Kattson B

Aug 14, 2022

It's just amazing!!

It covers a lot of concepts and practices of developing and deploying ML systems.

But we have a plus: tips from Andrew Ng experience.

创建者 Khanh T

Jul 12, 2022

Very informative even if with some-experienced data scienctist. I but sill strong recommend to put the lab as compulsory since they're really helpful

创建者 Atul P

May 17, 2022

Really really worthtable to watch this and you will learn like actual practical knowledge which we used to follow in real world buisness ML problems.

创建者 Anirudh A

May 3, 2022

This course is quite informative and one of the best. Highly recommend someone who is keen to learn about Machine learning in production environment.

创建者 Sergio M C Z

Jun 6, 2021

I really enjoyed the course as it did provide very practical insights and recommendations of best practices to implement ML models in the real world.

创建者 Megan M

May 28, 2021

This course is an excellent overview of the steps required to put ML into production. Andrew's explanations are clear, and his examples are spot on.

创建者 Mario G R

Jul 4, 2021

The course was very enjoyable, the readings and classes give you a basic but concise approach of what it means to bring an ML system to production.

创建者 Aswin G

Jun 10, 2021

Excellent resource material to understand the problems faced when deploying ML models in production and how to handle them at each and every stage,

创建者 Kin L K L

Jan 1, 2022

An excellent high level overview of the lifecycle of machine learning model development and deployment with a focus on business applications.

创建者 Tyler G

Jun 11, 2021

A​ndrew's insights are gold. He explains with clarity and has the foresight to disseminate the knowledge the community needs when we need it.

创建者 Fernanda P G

Oct 2, 2021

Este curso pode abrir minha mente sobre várias possibilidades em IA, estou ansiosa para o próximo. Obrigada pela oportunidade de aprender.


Jul 23, 2022

This is the best introduction to MLOps that I could find. Thank you Andrew for making these concepts as simple as possible to understand.

创建者 Athos M M

Jun 26, 2022

It offers a good overview and also the possibility of completing the course in an easy way or working on more complicated exercises.

创建者 Patrick M

Jul 7, 2022

Excellent intro to ML in production. Andrew Ng gives very clear and practical advice around best practices across the ML lifecycle.

创建者 Adarsh W

Sep 16, 2021

Excellent course to learn about data-centric approach in Machine Learning. All the ungraded labs were also informative and useful.

创建者 Manas K M

Jul 10, 2021

As always, another great course taught by Prof. Andrew. Thank you coursera/ team for offering such a great course.

创建者 Dennis M

Aug 7, 2022

Andrew does a great job of explaining Introduction to Machine Learning in Production. The examples really augment the lectures.

创建者 Mahsut D

Sep 30, 2021

T​his is an axcellent introductory course in MLOps, and also for anyone who is looking for having advanced skills in AI career.

创建者 Abdullah M

Mar 19, 2022

Everthing related to mlops introduction was amazing covered and this course also gave me some key insights in the mlops field.

创建者 Wooyong E

Jun 2, 2021

Immensely useful. This course is densely packed with practical tips and provides a great overview of this nascent discipline!

创建者 mohtaz y

Mar 13, 2022

Very nice course. There are many points that are mentioned in this course that took me months to uncover on my own at work.

创建者 d s

May 23, 2022

Prof. Ng does it again and offers more useful tips and insight to ML production issues. Great content, highly recommended.

创建者 Rui B

Oct 13, 2021

Years of practical experience condensed in this course. Extremely relevant material for Data Scientists / ML Engineers.

创建者 Kiran K K

Dec 5, 2021

I would like to thank Andrew for his very practical insights in the course. I don't think I could have asked for more.

创建者 Mario L d Á M

Aug 19, 2021

E​xcellent introduction to MLOps by Andrew Ng. Practical and clear. Love the (ungraded) labs, highly recommendable.