[2026] Machine Learning: Natural Language Processing (V2) (Udemy.com)

The whole course was great, and as it promised I really moved from beginner to advanced. The instructor is very good and understandable, with great explanation skills, and the content covered is useful. I will definitely take some other machine learning courses from the author, with the hope to receive knowledge from other areas of machine learning and AI.

This course helped me learn a lot of things from scratch, and I love the teaching style of the instructor. I am also enrolled in the Transformers course of this instructor, and I am so far very satisfied. I don't like too basic Udemy courses that make you feel like you're a genius only because you've never get challenged, and then leave you hung out to dry in the real world because you can not get to solve any problem just with those basic skills. When I enrolled to this course in the first place, like a year ago, I skipped the Advanced section on the Cipher Decryption because I found it too hard, instead I followed the rest of the course, I got enrolled in the Transformers course and finished the Beginner and Intermediate sections of it, did some real-life projects where I finetuned transformers, gained some industry experiences in NLP, and this week I returned to this course to finish that section. And suddenly, it was too simple and it took just minutes to understand. So I really love the structure and pacing in Lazy Transformer's courses, which challenges you gradually, which seems overwhelming at times but which pays you really well in return.

This is a comprehensive course into NLP and Machine Learning. I wasn't sure if this is the right course to enter the world of NLP but I have to say that if you want to look into applying Machine Learning to text data, then this is the right course. If you are more interested in Neural embeddings, then there is another course with a strong focus on that by the Lazy Programmer.

Overall I'm happy with the course, but a negative point is that some notebooks are only in html format, so you have to convert them to ipynb format. Other notebooks shown in the videos are definitely not available in the links. The instructor points out that in these cases they should be written by hand. But it would be more practical if he had made all the material available, just like all the other courses I've taken on this platform.

Best course I have ever taken on Udemy, Guys if You want to learn NLP, Machine Learning, Deep Learning in One single Course and even that with great Detail and Proper Explanation and No Blabbering of the Stuff , Just Close Your Eyes and go for your Gut feeling and Take this course. I guarantee You ,you will be a different person after completing this course. I would like to thank the instructor for making this course . This course has created a spark in my head to get better and learn more in the field of AI.

Excellent mentor, a really good way of communicating concepts and implementing them, considering also corner cases and teaching us how to think whenever we encounter a problem along the way. This was the most in-depth course I've taken, and I recommend it to everyone for sure!

the content taught during the course is largely intermediate to advanced material - you would probably have an edge if you're good at math or have a background in math or computer science. there's a lot of matrices to deal with so be prepared for that!

This course is among the top 1% quality in Udemy, IMO. 1. It explains why the CCN design, in details, understandable. 2. It explains why the CCN is useful in NLP with little or no code change. 3. A jumpstart on GRU and LSTM. 4. How to grow Python programming skills and why need to do so. 5. It intentionally introduces some hurdle for student to study and resolve. Lots of eye-opening stuff. Very funny and impressive MEME in Section 146 time 5:30 a picture of Rasputin befriended the family of Nicholas II to share the idea that “feel good” is not “do good”. This course will make an engineer a better engineer.

Solid course. You learn two things: - NLP (this is why it has 4 stars) - what is a wrong approach to teaching (this is why it is not 5 stars) Despite the last personal point, it is worth your money (but please Lazy programmer, be less passive aggressive)

Pros: Probably the best Data Science course I've done on Udemy. It's up to each person's taste, but I really appreciated in particular that the Markov and the TextRank sections went beyond the typical "black box" approach of calling some off-the-shelf library like sklearn, and really challenge us as programmers and thinkers! Con: I understand that your VIP system is a bit complex to figure out with Udemy, but I don't think you should include the Deep Learning sections in the course description if they are on other platforms and not free of charge for those that were not "early birds". It might be obvious if someone joins this course from your website, but not for someone who found this course browsing on Udemy.