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Avis et commentaires pour d'étudiants pour Introduction to Machine Learning in Production par deeplearning.ai

4.8
étoiles
1,652 évaluations
289 avis

À propos du cours

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...

Meilleurs avis

RG

4 juin 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

IU

5 déc. 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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76 - 100 sur 330 Avis pour Introduction to Machine Learning in Production

par Sergio M C Z

6 juin 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.

par Megan M

28 mai 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.

par Mario G R

4 juil. 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.

par Aswin G

10 juin 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,

par Kin L K L

1 janv. 2022

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

par Tyler G

11 juin 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.

par Fernanda P G

2 oct. 2021

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

par Athos M M

26 juin 2022

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

par Adarsh W

16 sept. 2021

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

par Manas M

10 juil. 2021

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

par Mahsut D

30 sept. 2021

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

par Abdullah M

19 mars 2022

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

par Wooyong E

2 juin 2021

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

par mohtaz y

13 mars 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.

par d s

23 mai 2022

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

par Rui B

13 oct. 2021

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

par Kiran K K

5 déc. 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.

par Mario L d Á M

19 août 2021

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

par Yusa L

29 juin 2021

T​he material is really close to the real industrial practice. Amazing reference if doing any ML engineering work.

par Mahsa P

20 sept. 2021

This course is a wonderful overview of different steps of a machine learning project from scoping to deployment.

par DYLAN C

19 janv. 2022

V​ery interesting course for actual product implementation of Machine Learning: Andrew NG is the best master!!!

par david g

3 janv. 2022

Even as a Data Scientist, I found this very relevant to define & get a clarity on such frameworks & processess

par Olaf S

18 sept. 2021

The short videos made it easy to work through it fast. In addition the optional-lab tasks were really awesome.

par Dao M D

2 sept. 2021

Great course for people who want to get the idea of putting Machine Learning notebooks' code into production!

par Kacper T

6 juin 2021

Clear and concise. The lecturer approaches the subject with objectivity but also with immense passion for it.