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

1,573 calificaciones
276 reseña

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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


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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101 - 125 de 313 revisiones para Introduction to Machine Learning in Production

por Ibrahim G

21 de may. de 2022

This was a really good introduction for systemetic and production level approaches for machine learning.

por James G

20 de may. de 2022

Another top course by Andrew NG. Provided a great overview of the process of putting ML into production.

por Jonah M K

30 de jun. de 2021

Great course on the introduction of ML in production. Well presented and useful background information.

por Marija M

12 de jul. de 2021

Beautiful and inspiring overview of hows and whys in any AI project, with hands-on notebook examples.

por Jiangchun L

30 de jun. de 2021

Thanks for this great course and everything, Andrew! You are awesome, fantastic, great and wonderful!

por Sreechowdary T

5 de ago. de 2021

Very informative but mostly therory, let me go throught next course in the sequece to work on handon

por Vladislav G V

23 de jul. de 2021

This is another great course by Andrew Ng: clear explanations, great examples, curious case studies!

por Hussein M

17 de jun. de 2021

It is very valuable and includes insights how to handle data, model data and how to deploy ML models

por vadim m

19 de may. de 2021

Succinct but full of meaningful examples, holistic approach to MLOps. Well done, Andrew & the team!

por Hamad

5 de feb. de 2022

E​xcellent course. Very easy to understand and most neglected topics. Perfectly compiled course!

por Aman S

8 de jul. de 2021

Explained in best way helped in understanding the thought process behind setting up ML in prod.

por Reza M

31 de ago. de 2021

T​his is about the whole picture. What comes around model, or where model is in big picture.

por Chester F

2 de mar. de 2022

G​reat course for understanding of a complete cycle of model development, highly recommend!

por Erica B

28 de nov. de 2021

Andrew Ng is the mentor I've been searching for! Very grateful for this course, thank you!

por MoChuxian

17 de may. de 2021

Learned very useful insights about Machine Learning engineering from Andrew, thanks a lot!

por Lúcio R

22 de jun. de 2021

The presented topics were perfect to give a overview the major steps to deploy a ML model

por Karl K

19 de abr. de 2022

Andrew Ng is a tremendous instructor. I felt I learned a lot and in an orderly fashion.

por Ivan O C

11 de dic. de 2021

An amanzing and useful introduction to start any ML project in a industrial context...

por Arian N

10 de feb. de 2022

Invaluable guidance on how to approach production-grade projects. Loved the course!

por Nitin M

30 de may. de 2021

Very useful and complex material made easy to understand by an excellent instructor!

por Nikolina K

1 de jun. de 2021

Very useful topics covered! Andrew explains in a clear way, with a lot of examples.

por Sunwaee

17 de may. de 2021

Excellent course, as always. That's a really good introduction to ML in production.

por AserGarcia

7 de jun. de 2021

Great introductory course on the operations to keep a system afloat in production.

por Eddie M

2 de abr. de 2022

Very clear and concise, incredibly valuable knowledge and techniques. Thank you.