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

2,268 calificaciones

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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


14 de ago. de 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.

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251 - 275 de 411 revisiones para Introduction to Machine Learning in Production

por Saad

10 de jun. de 2022

Thanks alot for such an awesome content.

por Meng C

13 de ene. de 2022

Nice intro building up the basic mindset.


13 de ene. de 2022

very nice introductory course for mlops.

por fernandes m

24 de sep. de 2021

The first course of MLOps, and the best.

por S R

1 de ago. de 2021

Nice introduction ML production issues.

por Shreyas R C

15 de jul. de 2021

Great learning, thanks to Andrew Ng Sir

por Paulo F S L

1 de ago. de 2021

Clear, objective and practical course!

por Albeiro d J E P

27 de jun. de 2021

Amazing work, thank you

por Kamal R

12 de oct. de 2021

Great Course. Well structured contents

por Ruan L D

8 de jul. de 2021

Great!! I love learning using examples

por Danylo P

18 de jun. de 2021

Much of useful information & insights!

por Xristos G

30 de dic. de 2022

Very good advices for AI projects!!!!

por Saumya S

9 de feb. de 2022

Requires basic knowledgo of ML and DL

por Kiran K

7 de jul. de 2021

The Course is good, but total theory,

por elnur

8 de dic. de 2021

one of the greatest courses on MLOPs

por Costa H

12 de oct. de 2021

Great course as always from Andrew!!

por Gustavo A

31 de ene. de 2022

well paced and complete material :)

por Khaerul U

23 de dic. de 2021

very very insightful! Thanks Andrew


1 de jul. de 2021

In a simple word A mindset changer.

por Daniel N

15 de jun. de 2021

A great and helpful course to take!

por Eliah M

4 de jun. de 2021

Awesome content, easily understood.

por amadou d

17 de may. de 2021

Excellent as always with Andrew!!!!

por sardar m

3 de oct. de 2022

Best Course about MLOPS beginners

por Manuel T V

3 de abr. de 2022

Great and teach concepts clearly.

por Melanie J B

16 de sep. de 2021

Informative and enjoyable. Thanks.