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Вернуться к Fake News Detection with Machine Learning

Отзывы учащихся о курсе Fake News Detection with Machine Learning от партнера Coursera Project Network

Оценки: 223
Рецензии: 38

О курсе

In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus. This project could be practically used by any media company to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news related articles. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Лучшие рецензии


23 окт. 2020 г.

Instructor Ryan has taken a lot of efforts to explain the topics, Advanced concepts like RNNs and LSTMs are clearly explained. Loved it.


31 авг. 2020 г.

Each thing explains in a very simple way. As mention beginner to intermediate level.

Фильтр по:

1–25 из 39 отзывов о курсе Fake News Detection with Machine Learning

автор: Asif-Uz-Zaman K S

3 авг. 2020 г.

Did not explain to me that much. There was codes but without the basic knowledge of programming it is very difficult.

автор: Rayna V

9 нояб. 2020 г.

instructions are good. but could not download dataset and code. would've been better if that was easily available.

автор: Joe H

10 апр. 2021 г.

Great course! Very concise and provides everything needed to complete an LSTM model for fake news detection. Instructor does a great job of explaining concepts and guiding users through all the necessary coding. Some coding skills required but not much. Compute time for model training is very long if using external Jupyter Notebook to follow along.

автор: Cathreen S P

9 окт. 2020 г.

Great course, not that long but probably you will learn something extraordinary. As a Journalism graduate it is quite unique to stumble into this course since Fake news nowadays are the new thread you need to be skeptical when it comes to fact checking.

автор: Antonio C P F

21 апр. 2022 г.

This project has a succint but very good theoretic explanation, combined with a very thorough practical application, from getting the data, cleaning, performing EDA and building the models. The data set per se is also really interesting and relevant.

автор: Sanket G

24 окт. 2020 г.

Instructor Ryan has taken a lot of efforts to explain the topics, Advanced concepts like RNNs and LSTMs are clearly explained. Loved it.

автор: Manish A

17 сент. 2020 г.

Very well explained.

автор: Isabelle T

27 сент. 2020 г.

This is a follow along project. The instructor goes through the code, which is explained well. He doesn't go over the math so much. This project is enough to go and read into it further yourself and practice on your own projects.

автор: Joey T

9 июня 2022 г.

Very good and thorough walkthrough of the notebook. Also appreciate the lecture portion on task 8 and 9 as a bridge to using LSTM after for the modeling. However, I would not categorize this guided project as "Beginner" since it partially assumes knowledge in previous ML courses. But overall, a worth investment to those who plan to learn more about NLP techniques.

автор: Nandan P

12 апр. 2021 г.

Its an Awesome Guided Project if you really want to understand about basic machine learning project and also about Fake News Detection working. Also How RNN and LSTM differ is somewhat explained in this project.

автор: Murtuza B

4 окт. 2020 г.

Thank you so much sir for creating the course. really enjoyed your insights and the explanations were very crisp and clear. Looking forward to get enrolled in one of the other courses or projects offered by you.

автор: Ganesh s m

1 сент. 2020 г.

Each thing explains in a very simple way. As mention beginner to intermediate level.

автор: Keith P

27 окт. 2020 г.

Excellent introduction for AI/ML tools in the detection and analysis of fake news.

автор: Harsh K M

3 нояб. 2020 г.

This guided project is good for practicing the theory involved in NLP and RNNs.

автор: Zakhar N

4 мая 2021 г.

Very useful project, the instructor is very clear in presenting information

автор: Bruce B

18 сент. 2020 г.

Great project, very approachable. Touches on all the essentials!

автор: Mani K

14 авг. 2020 г.

Great practice for important concepts in data science.

автор: Sidharta P

30 сент. 2020 г.

Amazing Course ! Expand my knowledge about NLP

автор: Fausto B D S T

2 июля 2021 г.

Really fun project with amazing instructor.

автор: K P H

15 сент. 2020 г.

It Provided Simple and easy explaination

автор: Ashwini D

8 июня 2022 г.

it was a great learning process

автор: Hammad Y

15 мар. 2021 г.

Great Course but advance course

автор: Ashok K

11 авг. 2020 г.

Excellent hands on practicals

автор: K V S 1

27 июня 2021 г.

great explanation sir

автор: Virendra G

1 нояб. 2020 г.

Excellent course.