What's next after MLS?

Course Q&A Machine Learning Specialization MLS Resources
1

Hey guys,

I’m interested in textual analysis and natural language process, so I am wondering which course to take after MLS?

Is it OK to start with NLS right away after MLS or I should do DLS first before delving into NLS? The information about the pre-requisite for these two next courses is rather general, so it is unclear which is to be taken before the other.

Thanks

2

I will suggest you take DLS first as it will give you a solid grounding, so you properly understand the NLP afterwards.

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3

Hi there,

After nearly 6 months (until Oct 2023), I’ve now completed both Machine Learning and Deep Learning Specializations while working full-time. As I said above, I am intererested in textual analysis and natural language processing as applied in financial research, e.g., analysis of CEOs’ choice of words in their companies’ financial reports.

Can you recommend a good Python-based book on textual analysis and natural language processing for both self-study and reference?

Also, which book do you recommend for theory and reference, Goodfellow et al. or Bishop?

Thanks a lot!

4

Congratulations on completing both the Machine Learning and Deep Learning specializations. This is a significant achievement! To further your knowledge of NLP with a focus on practical implementation in Python, here are some books that are well-suited for self-study and serve as excellent references:

  • “Natural Language Processing with Python” by Steven Bird, Ewan Klein, and Edward Loper Link: NLTK Book

  • “Natural Language Processing with Transformers” by Lewis Tunstall, Leandro von Werra, and Thomas Wolf Link: O’Reilly Media

  • “Speech and Language Processing” (3rd Edition Draft) by Daniel Jurafsky and James H. Martin Link: Online Draft

Another online resource is the Hugging Face Transformers Course. This free course teaches how to use transformer models for NLP tasks using Python. Link: Hugging Face Course

For foundational texts in machine learning and deep learning, the books by Goodfellow et al. and Bishop are both excellent. Given your completed coursework and specific interest in NLP applied to financial text analysis, “Deep Learning” by Goodfellow et al. would be more directly aligned with your goals. It will deepen your understanding of the deep learning techniques that are most effective in NLP tasks today, such as transformers and attention mechanisms.

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5

Many thanks for these recommendations. I find the first one particularly useful.

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6

Hi team
Sorry my question is not related to this topic because i have trouble creating a new topic, however, i need some help with this error.
I downloaded the labs on my laptop, and opened them with jupyter notebook. Some .ipynp has thrown this error, could you suggest how to solve this?

image
image1146×641 22 KB

Many thanks and I look forward to your help.
Christina

7

You will have the ability to create new topics once you earn a higher trust level on the forum.

To use a notebook on your own local platform, you must also install all of the same versions of libraries and packages and tools as Coursera uses.

8

Hi Tom,
Thank you for your speed response. however i can open other .ipynb files except a couple of them with FileNotFoundError: showing in the command prompt window even though the files have been downloaded.

9

Perhaps you do not have the files organized in the correct folders.

Configuring the assignments to run on other platforms is up to the student.