learn new skills.
Yandex is one of the largest IT companies in Europe. We build intelligent products and services powered by machine learning all over the world.
#1 search engine in the local market since 1997Link to Wiki
#1 search engine in the local market since 1997Link to Billboard
Yandex.Taxi merger with UberLink to Uber
Self-driving cars demo at CES 2019 in Las VegasLink to video
Yandex has 30 offices worldwide and has been listed on the NASDAQ since 2011Link to NASDAQ website
an Educational Platform
We create courses using knowledge that can’t be found in any textbook. Practicum by Yandex is an intensive 6 to 9-month IT career advancement program. It bridges the gap between short-term online courses and full-time internships.
Quite challenging course for me (I was starting almost from scratch). Lots of information, lots of practice, additional practices for those eager to do more, Slack channels to communicate, you name it. Kudos to the Yandex team, and to the mentors community!
It was absolutely a great learning experience with Yandex. Many of doubt got cleared after watching these awesome videos.Lectures have in depth knowledge and understanding about Bigdata and Spark.Looking forward for the next course.
The content was a nice introductory course. The only thing that could be better is the grading system.
It is a great course having both mix of traditional ML and deep NLP approaches (the new might be better but we need to know the prevalent ways a decade ago!). Should keep the content updated with always developing field of NLP. Assignments are really useful to understand the subject and stays as a starter code for new projects you wanna start. I would like to convey my thanks to the instructors !!
Very good advanced course on NLP covering both statistical and deep learning modeling approaches. Very well cemented by programming assignments in python and real-world acht bot application using Telegram and Amazon Web Services free tier solution. Check the pre-requisites because this is an advanced course requiring some previous knowledge of NLP, linguistics, machine learning, deep learning and above all python programming and some AWS and Docker basic knowledge. Staff is very responsive and supportive on the forum. Finally, don't underestimate the time it takes to go through all videos, quizzes, and programming assignments -the guidance given is on the low end.
This is an advanced course. Creators assume you have significant amount of knowledge in the field, if not you have to do additional research. The course covers most up-to-date achievements in the field of NLP. It covers widely used techniques of improving NLP performance. You get a chance to see interesting point of view from some of the best people in NLP. Well prepared and thought through material. Teachers are enthusiastic about the filed, which helps learning. Definitely worth taking if you practice language analysis.
Overall great intro to NLP. Basic techniques like word embeddings and attention are explained quite well. However, some topics are not really easy to remember from this course, such as Topic modeling using LDA (which I understood much deeper during Bayesian Methods for Machine Learning course from the same specialization).
Thanks for a fantastic course! The lectures were amazing clear and well organized and covered exactly the topics most important to me in my current work. The homework assignments were designed perfectly to challenge and inspire.Great job!
A lot of information on a very high level but with reference to papers. Papers are a little bit dated for now, but this is due to rapid progress of NLP as a field of study. Assignments which need to be peer reviewed are painful, because you don't know when someone will check your work. This is due to not many learners simultaneously at class. In general, the course provides helpful advice when working with NLP and reveals some of the core approaches. Also, there is enough practice here, which is great.
Choose the best fit and get started. The first 20 hours are free.
Create websites and web apps.More
Collect, analyze, and visualize data. Assist management with decision-making.More
Engage in front-end development along with back-end basics.More
Work with large volumes of data. Discern patterns by using machine learning.More
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