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

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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

RG

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

TF

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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76 - 100 de 354 revisiones para Introduction to Machine Learning in Production

por Kattson B

14 de ago. de 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.

por Khanh T

12 de jul. de 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

por Atul P

17 de may. de 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.

por Anirudh A

3 de may. de 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.

por Sergio M C Z

6 de jun. de 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.

por Megan M

28 de may. de 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.

por Mario G R

4 de jul. de 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.

por Aswin G

10 de jun. de 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,

por Kin L K L

1 de ene. de 2022

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

por Tyler G

11 de jun. de 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.

por Fernanda P G

2 de oct. de 2021

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

por KIPNGENO K

23 de jul. de 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.

por Athos M M

26 de jun. de 2022

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

por Patrick M

7 de jul. de 2022

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

por Adarsh W

16 de sep. de 2021

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

por Manas K M

10 de jul. de 2021

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

por Dennis M

7 de ago. de 2022

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

por Mahsut D

30 de sep. de 2021

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

por Abdullah M

19 de mar. de 2022

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

por Wooyong E

2 de jun. de 2021

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

por mohtaz y

13 de mar. de 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.

por d s

23 de may. de 2022

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

por Rui B

13 de oct. de 2021

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

por Kiran K K

5 de dic. de 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.

por Mario L d Á M

19 de ago. de 2021

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