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Learner Reviews & Feedback for Introduction to Machine Learning in Production by DeepLearning.AI

4.8
stars
2,792 ratings

About the Course

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...

Top reviews

RG

Jun 4, 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

DT

Aug 14, 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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101 - 125 of 499 Reviews for Introduction to Machine Learning in Production

By Rodolfo T

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Mar 2, 2022

Great course with wise tips and insightful recommendations. I'll get to provide more value to the machine learning projects I'll have be involved after this course.

By Bradley E

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Jan 18, 2024

Andrew Ng just has this unique blend of business wisdom, practical knowledge, and of course, epic theoretical knowledge. Can't beat the value of learning from him.

By Will G

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Apr 7, 2022

This course helped me land my first job as a data engineer. I am very glad to be a participant and student of Andrew Ng. I can't wait to finish its specialization.

By Nikki A

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Jan 11, 2022

Very well explained, Andrew Ng does a great job as always summarizing complex subjects in easily digestible lectures. A lot of thought went into this course

By Martin T

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Dec 2, 2021

Very useful discussions and views. Great reflections on the value of data in the full ML cycle and the real challenges of putting a ML system in production.

By Oscar C M

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Nov 7, 2022

A very comprehensive and clear course. Good concepts about machine learning applications and how conceiving academic and industry ML pipeline and scope.

By Kattson B

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Aug 14, 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.

By Silviu M

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Aug 28, 2023

Really nice course, i really enjoyed all DeepLearning courses till now, helped me re-insure myself and also for a better organization of my projects.

By Khanh T

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Jul 12, 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

By Atul P

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May 17, 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.

By Anirudh A

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May 3, 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.

By Sergio M C Z

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Jun 6, 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.

By Megan M

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May 28, 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.

By Pranav S

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Feb 24, 2023

With this course though I have been in the field of ML and DL I was able learn many insights and tips to consider while deploying ML in production.

By Mario G R

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Jul 4, 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.

By Aswin G

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Jun 10, 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,

By Yassine e k

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Jan 6, 2023

As someone with experience working with Machine Learning in Production, this course contains valuable information to which a can strongly relate

By Marc S D M

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Dec 30, 2022

As every Andrew Ng's course this one is awesome: all concepts are clearly presented and illustrated. Thanks a lot for sharing your experience.

By Daniel A

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Dec 28, 2022

I found the concepts learned from this course very valuable as one begins and iterates through a machine learning operationalization project.

By Kin L K L

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Jan 1, 2022

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

By Tyler G

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Jun 11, 2021

Andrew's insights are gold. He explains with clarity and has the foresight to disseminate the knowledge the community needs when we need it.

By Tim T

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Mar 16, 2023

Excellent Course! Everyone was right about Andrew! Its the way he breaks everything down! This was just the beginning course! Lets continue!

By Himanshu S

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Jan 1, 2023

It is very nice and it is also beginner friendly. Hope you find what you are looking for. This course helped me a lot in improving my skill.

By Fernanda P G

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Oct 2, 2021

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

By naveen r

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Dec 3, 2022

Excellent introductory course helped a lot with my current project with deciding on the right metrics for error and performance analysis