Chevron Left
Вернуться к Deploying Machine Learning Models

Отзывы учащихся о курсе Deploying Machine Learning Models от партнера Калифорнийский университет в Сан-Диего

Оценки: 48
Рецензии: 15

О курсе

In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists of related products), and you should understand the tools and techniques required to deploy such a working system on real-world, large-scale datasets. This course is the final course in the Python Data Products for Predictive Analytics Specialization, building on the previous three courses (Basic Data Processing and Visualization, Design Thinking and Predictive Analytics for Data Products, and Meaningful Predictive Modeling). At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization....
Фильтр по:

1–14 из 14 отзывов о курсе Deploying Machine Learning Models

автор: Arnaldo G

3 окт. 2019 г.

This course is more about Reccommender Systems than deployment of models. Actually, there's just a few classes about model deployment, but no practical exercises. However, the Reccommender Systems classes are good for beginners. The teachers are good as well.

автор: Mansi P

15 мая 2020 г.

Deployment was not even taught. misleading title, underwhelming content.

автор: Lam C V D

30 авг. 2020 г.

Topics are hastily rushed. Recommender system is complex and need more in depth teaching.

You need to find a dataset to answer final capstone project which can be hard to find to fulfill the grading criteria

автор: alfredo g

1 окт. 2020 г.

really a good one, i learn a lot with the proyects

автор: Oriol P M

18 сент. 2019 г.


автор: Martin L

7 дек. 2020 г.

I Liked the Course in general especially the recommender component. I would seriously recommend making major improvements and clarification to the capstone project.

автор: J N B P

7 авг. 2020 г.

A good course on deploying your ML product.

автор: shaikh i

1 июля 2020 г.

The course was really good. I thought it is related with flask or django, but only introduction was given and they didn't teach flask. The name of the course should be "building recommendation systems" in my opinion.

автор: Mauro M

26 нояб. 2021 г.

The course is very good, but the evaluation process is terrible, it depends on someone that can evaluate your project.

автор: cherif g

28 мая 2020 г.

It was not what I expected. Sorry my mistake

автор: Eduardo A C

14 апр. 2020 г.

Eu achei um pouco superficial.

автор: Sanzhar M

24 окт. 2019 г.

Awful course, garbage content and no any peers to check your work


5 окт. 2020 г.

nada que ver con el título que venden

автор: Kranthima E

15 нояб. 2020 г.

Not so helpful