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

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1,776 évaluations

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

TF

14 août 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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176 - 200 sur 354 Avis pour Introduction to Machine Learning in Production

par GB L

27 juin 2021

Nicely introduced the MLOps and illustrated some real cases.

par Lộc Đ

2 août 2021

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

par Cameron D K

31 mai 2021

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

par Kevin D

19 sept. 2021

Really well-structured videos that are easy to understand.

par Paweł K

13 sept. 2021

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

par DingYi

15 mai 2022

many real-world experience that helps ML in applications.

par Sagar D

1 mai 2022

found insightful. A lot of practicle aspects been shared.

par Walt H

26 août 2021

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

par letrungphong95

21 juil. 2022

Very useful course, special thanks to teacher Andrew NG

par Biju K

23 juil. 2021

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

par NIKUNJ B

21 mai 2021

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

par Rémi M

21 juin 2021

Robust and efficient frameworks to conduct ML projects

par Jitendra S

3 juin 2021

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

par Alex D

20 déc. 2021

Great course!

Really useful if you are a ML engineer

par Jitender S V

19 juil. 2021

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

par Arunjith

21 sept. 2021

A lot of insights in a very short investment of time

par Amit U

13 juin 2021

great learning ,thanks Andrew for such deep insight.

par Liang L

12 juin 2021

Very useful systematic view of the whole ML process.

par Amirhoisein S D

5 août 2022

such a wonderfull wih a lot of information to learn

par Anup K D

13 mai 2022

Excellent to learn how to deploy a real ML system.

par Goga

23 févr. 2022

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

par Loc L

8 janv. 2022

G​reat course for introduction to ML in production

par Héctor L

21 mai 2021

Amazing, invaluable knowledge as always. Thanks!

par Parma R R

9 juin 2022

S​uch a great course! Thank you Mr. Andrew Ng!!

par Patricio C

23 mai 2021

A very good first course in this Specialization