text: Fraud Detection Lead at DoubleVerify
  Great experience so far! Personally for me, the course exceeded my expectations. I usually stay away from courses since I'm a self learner. Courses usually spend too much time on the unimportant parts (too much history, too much theory, repetitive exercises etc.).
  However during Y-DATA courses we ha exactly the right balance of practice and theory.
  The course is great, I think it's the best professional course I have taken and for me personally it's a good substitution to a master degree (for now). Even though I'm already working as a Data Scientist i still learn new things, there are always fields that I'm less proficient in and the course fills the gap.
  Deep Learning Researches at Trigo
  It was obvious to me that math is the field for me. I did my B.Sc and M.Sc in math. In the industry, you can do a lot with math, but you must have knowledge in computer science as well.
  Y-Data was exactly right for me - it let me combine my background with computer science and strong data science foundations.
  You know they say go with your passion, right? I've been programming since I was a kid, but I never really dealt with Data Science or Machine Learning before Y-Data. I already knew the math part of the introductory courses but they were so fast-paced that I wasn't bored and quickly enough we got into supervised learning and deep learning. This gave me the tools to do things that I coundn't have done before, let me explore and widen the area of my thoughts.
  I'm an Engineer. I studied math and physics, and financial engineering. I choose Y-DATA because I wanted a better understanding of the algoritms. When you have access to machine learning techniques, you have access to more tools, allowing you to do more things. For instance, in my field, in time-series analysis, you want to better predict and better focus. Studying in Y-DATA is like building a muscle. You need to work on a muscle to be a better, stronger person. It's a very good program because it shows many things.
  Hello, my name is Alexander Kazakov, and I work with OCR and text extraction from images and PDF files at Megaputer Intelligence, a company specializing in text data analysis.
  My decision to study in the Generative AI program stemmed from a desire to learn something new...
  Hello! My name is Andi Mardinsyah, and I work as a Data Scientist at Telekomunikasi Indonesia.
  My company is currently working on creating applications for natural language processing...
  The videos taught me a lot and give a better understanding of LLMs, really helpful in my job I underestimate the ratio between free time/time needed to do the homework.
  I like to really understand what I’m doing and so I do not finish 3 of the 5 homework...
  Developer Support Engineer
  The course over all is great I'm enjoying it so far, the videos are vary good and easy to understand, long format reading and papers are ok as well, I'm kinda used to reading similar things in university, and have gpt-4 to help 🙂
  Machine Learning Engineer
  Until now I am finding the course great! I really enjoyed the first two classes, the third was a bit less practical but still really interesting. The homeworks are really good, maybe sometimes a bit too long, but really enjoyable. Until now my feedback is totally positive.
  The course is great! I really like it!I like the amount of new material and the number of articles (referenced in the lectures). I believe that the knowledge gained in this course will be highly relevant for the next few years. Personally, I like the more technical...