​Named-Entity-Recognition-NER-Papers
By Pengfei Liu, Jinlan Fu and other contributors: https://github.com/pfliu-nlp/Named-Entity-Recognition-NER-Papers

🔗 pfliu-nlp/Named-Entity-Recognition-NER-Papers
An elaborate and exhaustive paper list for Named Entity Recognition (NER) - pfliu-nlp/Named-Entity-Recognition-NER-Papers

​THE AMALGAMATION OF DATA SCIENCE AND NEUROSCIENCE
https://www.analyticsinsight.net/the-amalgamation-of-data-science-and-neuroscience/

🔗 The Amalgamation of Data Science and Neuroscience | Analytics Insight
The key neuro- science idea driving the weakness of minds is "normal statistics." It would seem animal brains advanced to work in natural habitats, and they likewise adapt best in those equivalent situations.

Как стать Data Engineer в 2020 году.

https://youtu.be/vNNoNs_VeWc

🎥 How to Become a Data Engineer in 2020
👁 1 раз ⏳ 502 сек.
How to Become a Data Engineer in 2020? | Check out the ultimate guide http://bit.ly/34DPiFj to find out or watch this video. We'll talk about becoming a data engineer in 2020, focusing on who the data engineer is, what they do, how much they make, and what education and skills you need to become one.

0:58 ENROLL THE 365 DATA SCIENCE PROGRAM WITH 20% OFF DISCOUNT http://bit.ly/2CfNztx

8:05 LINK TO ‘’STARTING A CAREER IN DATA SCIENCE: THE ULTIMATE GUIDE’’ http://bit.ly/34DPiFj

Who’s the data engineer and

​Top 21 Machine Learning Project Ideas for 2020 [Source Code Included] - DataFlair

🔗 Top 21 Machine Learning Project Ideas for 2020 [Source Code Included] - DataFlair
Check out machine learning project ideas for beginners, intermediates, and experts to gain practical experience and to make yourself job ready.

​Роботы DogBot компании React Robotics готовят революцию в строительной отрасли
Сегодня СМИ нередко пишут о четвероногих роботах. Сообщается, какие новые функции и возможности они получили и насколько приблизились к своим прототипам. Но один вопрос всегда оставался не раскрытым до конца: как наделить их интеллектом, научить самостоятельно ориентироваться в окружающем мире? Как и где можно применять подобные четвероногие машины помимо подключения этих роботов к разбору завалов в результате различных чрезвычайных происшествий и катастроф, а также военного использования? Компания Boston Dynamics уже показала, как один из ее роботов SpotMini проводит инспекцию на строительной площадке. И это не единственный подобный пример.

🔗 Роботы DogBot компании React Robotics готовят революцию в строительной отрасли
Сегодня СМИ нередко пишут о четвероногих роботах. Сообщается, какие новые функции и возможности они получили и насколько приблизились к своим прототипам. Но один...

​Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark.

https://github.com/facebookresearch/detectron2

https://detectron2.readthedocs.io/

https://github.com/facebookresearch/maskrcnn-benchmark/

🔗 facebookresearch/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation. - facebookresearch/detectron2

​On the Relationship between Self-Attention and Convolutional Layers

https://github.com/epfml/attention-cnn

https://arxiv.org/abs/1911.03584v2

🔗 epfml/attention-cnn
Source code for "On the Relationship between Self-Attention and Convolutional Layers" - epfml/attention-cnn

​op free Data Science resources

1. CS109 Data Science
http://cs109.github.io/2015/pages/videos.html

2. Data Science Essentials
https://www.edx.org/course/data-science-essentials

3. Learning From Data from California Institute of Technology
http://work.caltech.edu/telecourse

4. Mathematics for Machine Learning by University of California, Berkeley
https://gwthomas.github.io/docs/math4ml.pdf?fbclid=IwAR2UsBgZW9MRgS3nEo8Zh_ukUFnwtFeQS8Ek3OjGxZtDa7UxTYgIs_9pzSI

5. Foundations of Data Science by Avrim Blum, John Hopcroft, and Ravindran Kannan
https://www.cs.cornell.edu/jeh/book.pdf?fbclid=IwAR19tDrnNh8OxAU1S-tPklL1mqj-51J1EJUHmcHIu2y6yEv5ugrWmySI2WY

6. Python Data Science Handbook
https://jakevdp.github.io/PythonDataScienceHandbook/?fbclid=IwAR34IRk2_zZ0ht7-8w5rz13N6RP54PqjarQw1PTpbMqKnewcwRy0oJ-Q4aM

7. CS 221 ― Artificial Intelligence
https://stanford.edu/~shervine/teaching/cs-221/

8. Ten Lectures and Forty-Two Open Problems in the Mathematics of Data Science
https://ocw.mit.edu/courses/mathematics/18-s096-topics-in-mathematics-of-data-science-fall-2015/lecture-notes/MIT18_S096F15_TenLec.pdf

9. Python for Data Analysis by Boston University
https://www.bu.edu/tech/files/2017/09/Python-for-Data-Analysis.pptx

10. Data Mining bu University of Buffalo
https://cedar.buffalo.edu/~srihari/CSE626/index.html?fbclid=IwAR3XZ50uSZAb3u5BP1Qz68x13_xNEH8EdEBQC9tmGEp1BoxLNpZuBCtfMSE

🔗 Class Material

🎥 Семинар 3 - Time Series в акселерометрии: RIDI, IONet и RoNIN
👁 1 раз ⏳ 611 сек.
Запись на следующие семинары: http://mipt.ai/seminar
По всем вопросам пишите нам на info@mipt.ai
В этом мини-семинаре Тамаз Гадаев (исследователь группы Time Series Analysis Лаборатории машинного интеллекта) рассказывает про машинное обучение в задаче восстановления траектории объекта по IMU системе. Рассматриваются Robust IMU Double Integration(RIDI), IONet и Robust Neural Inertial Navagation in the Wild(RONIN).

https://vk.com/miptai - презентации и полезные материалы можно найти в нашей группе ВКонтакте

​A marriage of microscopy and machine learning

https://www.broadinstitute.org/news/marriage-microscopy-and-machine-learning

🔗 A marriage of microscopy and machine learning
Anne Carpenter and her lab are helping to transform cell imaging into a data science.

🎥 Choosing the best language for your machine learning solution: From R to Python | BRK2019
👁 2 раз ⏳ 2689 сек.
Creating a machine learning solution involves a number of complex decisions, from architecture, to algorithm selection, to the program and modeling language you choose. With varying capabilities, packages, and community support how do you know which language will best fit your need? This session introduces you to two of the most popular modeling languages - R and Python - and helps you understand

🎥 Марафон по HTML верстке 13-16 января. День 2. Как зарабатывать на фрилансе
👁 1 раз ⏳ 0 сек.
День 2. Вы узнаете, как зарабатывать на фрилансе, и получите пошаговый план. Сверстаем внутреннюю страницу сайта-порфолио.

Участвовать в марафоне: https://vk.com/app5898182_-40137828#u=837802&s=598630&force=1
Группа интенсива: https://vk.com/webstart1
Чат участников: https://vk.me/join/AJQ1d/UMVxZ4BuojBWW32OCV
Макет для 2-го дня: https://vk.cc/afcANs


::: О ПРОЕКТЕ :::::::::::::::::::::::::::::::::::::

Меня зовут Юрий Ключевский. Я занимаюсь разработкой сайтов уже много лет, специализируюсь на front-en

​Deep Learning for Person Re-identification: A Survey and Outlook

https://github.com/mangye16/ReID-Survey

ModeL: https://github.com/mangye16/Cross-Modal-Re-ID-baseline

Paper: https://arxiv.org/abs/2001.04193v1

🔗 mangye16/ReID-Survey
Deep Learning for Person Re-identification: A Survey and Outlook - mangye16/ReID-Survey

​How Does AI Detect Objects? (Technical)

🔗 How Does AI Detect Objects? (Technical)
Understand how Object Detection is applied and implemented using Machine and Deep Learning techniques

​Oxford (Real) Farming Conference 2020

🔗 Oxford (Real) Farming Conference 2020
NLP: Sentiment Analysis, Word Embeddings and Topic Modelling of 3,8K tweets

​Natural Image Matting via Guided Contextual Attention

Over the last few years, deep learning based approaches have achieved outstanding improvements in natural image matting. Many of these methods can generate visually plausible alpha estimations, but typically yield blurry structures or textures in the semitransparent area... (read more)

https://github.com/Yaoyi-Li/GCA-Matting

Paper: https://arxiv.org/abs/2001.04069v1

Наш телеграм канал - tglink.me/ai_machinelearning_big_data

🔗 Yaoyi-Li/GCA-Matting
Natural Image Matting via Guided Contextual Attention - Yaoyi-Li/GCA-Matting

​Using neural networks to solve advanced mathematics equations

https://ai.facebook.com/blog/using-neural-networks-to-solve-advanced-mathematics-equations/

Наш телеграм канал - tglink.me/ai_machinelearning_big_data

🔗 Using neural networks to solve advanced mathematics equations
Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems.

​Run a TensorFlow SavedModel in Node.js directly without conversion

https://blog.tensorflow.org/2020/01/run-tensorflow-savedmodel-in-nodejs-directly-without-conversion.html

🔗 Run a TensorFlow SavedModel in Node.js directly without conversion

​Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study

Paper: https://arxiv.org/abs/2001.03844v1

Code https://github.com/pfliu-nlp/Named-Entity-Recognition-NER-Papers

🔗 pfliu-nlp/Named-Entity-Recognition-NER-Papers
An elaborate and exhaustive paper list for Named Entity Recognition (NER) - pfliu-nlp/Named-Entity-Recognition-NER-Papers

​Solutions - KaggleDB

🔗 Solutions - KaggleDB