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Opiniones y comentarios de aprendices correspondientes a Introduction to Machine Learning in Production por parte de

1,566 calificaciones
273 reseña

Acerca del Curso

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...

Principales reseñas


4 de jun. de 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


5 de dic. de 2021

I have been involved with deep learning for more than 5 years (in academia), nevertheless learned a lot already. I am very curious about the next courses. Thanks for putting together this course!

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151 - 175 de 312 revisiones para Introduction to Machine Learning in Production

por Faruch A

29 de oct. de 2021

O​ne of the best non-academic course I have ever experienced.


25 de jun. de 2021

Good explanations of the principal problems in the ML project


19 de may. de 2021

Great course! Easy to understand with many examples explained

por Nikhil S

29 de abr. de 2022

Awesome Course, full of insightful knowledge from Andrew Ng.

por Apoorv A

9 de mar. de 2022

W​ould have loved a programming assignment with this course.

por GB L

27 de jun. de 2021

Nicely introduced the MLOps and illustrated some real cases.

por Lộc Đ H

2 de ago. de 2021

It's time to say thank you for this course and Mr Andrew Ng

por Cameron D K

31 de may. de 2021

Very good course. Full of knowledgeable advice from a pro.

por Kevin D

19 de sep. de 2021

Really well-structured videos that are easy to understand.

por Paweł K

13 de sep. de 2021

Again, great material and a lot food for thought! Thanks !

por DingYi

15 de may. de 2022

many real-world experience that helps ML in applications.

por Sagar D

1 de may. de 2022

found insightful. A lot of practicle aspects been shared.

por Walt H

26 de ago. de 2021

V​ery straight to the point with fun and insightful labs!

por Biju K

23 de jul. de 2021

One can gain a lot of benefit from Andrew's experience.


21 de may. de 2021

Awesome Course. Will surely help me in the near Future.

por Rémi M

21 de jun. de 2021

Robust and efficient frameworks to conduct ML projects

por Jitendra S

3 de jun. de 2021

Excellent piece of work . Many Thanks to Mr. Andrew Ng

por Alex D

20 de dic. de 2021

Great course!

Really useful if you are a ML engineer

por Jitender S V

19 de jul. de 2021

T​hank you for this awsome course. Learned so much :)

por Arunjith

21 de sep. de 2021

A lot of insights in a very short investment of time

por Amit U

13 de jun. de 2021

great learning ,thanks Andrew for such deep insight.

por Liang L

12 de jun. de 2021

Very useful systematic view of the whole ML process.

por Anup K D

13 de may. de 2022

Excellent to learn how to deploy a real ML system.

por Goga

23 de feb. de 2022

Learning from Mr Andrew Ng is MINING OF THE GOLD!!

por Luong L

8 de ene. de 2022

G​reat course for introduction to ML in production