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

4.8
étoiles
1,661 évaluations
292 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

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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51 - 75 sur 330 Avis pour Introduction to Machine Learning in Production

par Hector B

11 juin 2021

Very valuable course for those who already have some knowledge on machine learning or AI applications. Very close to what systems engineering processes recommend, as when seeking ISO15288 compliance.

par Dr. F T

15 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.

par rahul g

5 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

par Nilay

12 juil. 2021

I​ntroduces you to the basics of MLOps in a well paced mannar. Would request to add more examples of structured data sets, as many companies usually are dealing with the related problems.

par UGENTERAAN A L M

5 juin 2021

The content of this course has been especially useful for me. I wish there were more emphasis on the tools recommendation as well, but the theoretical knowledge was just fine. Thank you!

par dongkyoung c

21 mai 2021

Practical and well-structured advices throughout the lifecycle of ML. Examples from real world problems & experiences make the advices more tangible and helps to reflect on own problems.

par Gent S

26 mai 2021

Andew Ng is truly a world leader in the field, the way he approaches the subject and the explanations he gives are truly unparalleled. It always a pleasure taking a course he instructs.

par Andrei N

12 juin 2022

G​ood intro on key concept in MLOps. Would recommend it to anyone who is stepping into this field as well as for ML Hobbists to understand the main challenges of a ML production system

par Alejandro M R

19 mai 2021

This is a great course to learn many practical procedures and techniques, to apply ML algorithms to real world problems and do it well, by avoiding common mistakes and deliver value.

par Di W

13 févr. 2022

Wonderful and practical MLOps introductory Materials. Very systematic and useful! Always appreciate Dr. Ng uses the most easy to understand language to explain difficult problems

par Ilce M

20 juin 2021

I would recommend this course to anyone who has to implement models in production. It is an introductory course but it does have a few key concepts that are good to keep in mind.

par Muhammad I K

17 avr. 2022

An excellent start for becoming a Machine Learning Engineer where one learns about the complete lifecycle of a machine learning project from scoping to deployment to monitoring.

par Pawel R

25 mai 2021

This course helped me to organize my knowledge, and showed the questions that I should regullarly ask to either technical, or business teams to create valuable AI-based product

par Jungwei F

13 juin 2021

T​he course helped both validate what I knew about the topic and update me about many new trends/tools via high quality references + first hand experences from the instructor.

par Christian L C C

14 juin 2022

A​ course that extends your vision about machine learning in production and helps you to understand that training a model and getting it with a good accurate is not enough

par Daniel H G

31 août 2021

Excellent course, you learn about the fundamentals of MLOps. A recommended course if you want to understand the life cycle of a Machine Learning algorithm in production.

par Stefano D P

19 févr. 2022

Concise and straight to the point! It is a good and broad introduction to the topic. I'm confident it has prepared me well for the next course of this specialization.

par Sadashiv B

24 oct. 2021

This course is fantastic. Exceptionally well understanding of all the fundamental concepts required. Many issues that one would not have considered are well-covered.

par Ratha P

3 août 2021

A great course that Andrew provided to fill the gap between machine learning/AI in academia (model-centric approach) and industry production (data-centric approach).

par Rodolfo T

2 mars 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.

par Will G

7 avr. 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.

par Nikki A

11 janv. 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

par Martin T

2 déc. 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.

par Atul P

17 mai 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.

par Anirudh A

3 mai 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.