​​Large-Scale Object Mining for Object Discovery from Unlabeled Video

Paper about process of object discovery.

Link: https://arxiv.org/abs/1903.00362

#Video #DL #CV

China’s Tech Firms Are Mapping Pig Faces
https://nyti.ms/2VAbfAy

Derisking machine learning and artificial intelligence
https://mck.co/2ELnnZN

A Data Cleaner`s Cookbook
http://bit.ly/2EKyi60

General Assembly's Data Science course in Washington DC
http://bit.ly/2VxZWIT

The Markov-chain Monte Carlo Interactive Gallery. A collection of javascript implementations of interesting MCMC algorithms
http://bit.ly/2VzH0JI

Next decade of technologies and fields by interpretation of Business insider:

1 #AI
2 #IoT⌚️
3 #blockchain ⛓
4 3D print 🖨
5 mobile📱
6 autonomous cars 🚗
7 mobile internet 💻
8 robotics🤖
9 VR/AR 👓
10 wireless power🔌
11 quantum computing 🖥
12 5G 📡
13 voice assistant🎙
14 cybersecurity🔒 #MWC19

Video is credited from Tech Insider 👇

Natural Language Processing Tutorial for Deep Learning Researchers using Tensorflow and Pytorch

Most of the models in NLP were implemented with less than 100 lines of code.(except comments or blank lines)

Now introducing Chrome extension that makes it easy to find code when browsing arxiv.org or Google Scholar:

Really short and brief, yet useful #tutorial on #PyTorch #transferlearning

Transfer learning is a concept of using network trained for a certain task for another one.

Link: https://medium.com/@iamHarin17/transfer-learning-in-pytorch-f7736598b1ed

#DL #novice #entrylevel #beginner

Time series basics

Time series — data, with points having timestamps. Some might think that #timeseries are mostly used in algorithmic trading, but they often used in malware detection, network data analysis or any other field, dealing with some flow of time-labeled data. These two resources provide deep and easy #introduction into #TS analysis.

Github: https://github.com/akshaykapoor347/Time-series-modeling-basics
Data Camp presentation: https://s3.amazonaws.com/assets.datacamp.com/production/course_5702/slides/chapter3.pdf

#beginner #novice #python #entrylevel

​​Open AI releasing MMO.

Spoiler: it is not MMORPG. It is Massively Multiagent Mame environment for reinforcement learning agents. It will allow to develop something what for #trueAI will be like an amoeba to human. But it’s live now.

Link: https://blog.openai.com/neural-mmo/
Github: https://github.com/openai/neural-mmo
3DClient github: https://github.com/jsuarez5341/neural-mmo-client

#OpenAI

By Jupyter--Is This the Future of Open Science?
--> kutt.it/wi1wCM

Say hello to the Developer Release of MainframeOS! 👩‍💻 💪🔥 Get all the details on the blog, and be sure to check out our documentation before diving in. And let us know what you build with Mainframe! https://blog.mainframe.com/mainframe-os-launch-2019-71689d0c5ec #blockchain #crypto #crryptocurrency $MFT

#education #school : Начался набор в международную летнюю школу по машинному обучению: “Machine Learning Summer School” (MLSS)
В этот раз школа пройдет в Москве на территории Skoltech (Сколково)
Даты летней школы: 26 (понедельник) августа 2019 - 6 (пятница) сентября 2019
Подачи заявок: до 6 (понедельник) мая 2019
Место: Skoltech, Сколково, Москва
Язык обучения - английский

Основная аудитория: аспиранты. но рассматривают как мастеров так и окончивших образование
Сборы: 400/550/1000 евро для студентов/постдоков и преподавателей/остальных (в том числе работающих в индустрии)
Возможны спонсорское стипендиальное покрытие (полное или частичное (25%))
Организаторы: Фернандо Перес Круз, Евгений Бурнаев, Родриго Ривера Кастро

Предварительные темы:
Kernels - Arthur Gretton
Fairness & Interpretability - Isabel Valera
Causality - Joris Mooij
3D Deep Learning - Justin Solomon
Optimal Transport - Marco Cuturi
To be confirmed - Mark Girolami
Graph Neural Networks - Michael Bronstein
ML for Magnetic Resonance Imaging - Michel Besserve
Online Learning - Nicolò Cesa-Bianchi
Reinforcement Learning - Shimon Whiteson
Topological Data Analysis - Ulrich Bauer
Bayesian Deep Learning - Yarin Gal

Сайт школы: http://xxtt.ru/mlss2019

Octagon as positions marker. A.I drones circling in sync protecting/detecting/autonomous. Everything cubed in box with multiples possible usages.

Modern Deep Learning Techniques Applied to Natural Language Processing

Online collaborative book

Link: https://nlpoverview.com/index.html
Github: https://github.com/omarsar/nlp_overview
ArXiV: https://arxiv.org/abs/1708.02709

#NLP #beginner #novice #entrylevel #DL

Machine learning can boost the value of wind energy
http://bit.ly/2EKWIfH

Kids’ brains may hold the secret to building better AI
http://bit.ly/2VyXKku

We have stumbled into the era of machine psychology
http://bit.ly/2VvU5DX

MIT's introductory course on deep learning methods and applications.
http://bit.ly/2ELDnuZ

Game of Thrones in Words
https://tabsoft.co/2VAY1n3

The military wants to build a bullshit detector for social science studies
http://bit.ly/2EJqJwt

Humanity + AI: Better Together
http://bit.ly/2VxKpsA

Seven Myths in Machine Learning Research
http://bit.ly/2VBwbaq

Interpretable Machine Learning. A Guide for Making Black Box Models Explainable. Book by Christoph Molnar
http://bit.ly/2EIXWrL

Various views of variability
http://bit.ly/2EJGnaU

#Google has open-sourced #FederatedLearning code

Step-by-step #tutorial showing how to perform Federated Learning using the same infrastructure Google
uses on 10s of millions of smartphones.

Link: https://medium.com/tensorflow/introducing-tensorflow-federated-a4147aa20041

Web data scraping with Python by Brian Keegan University of Colorado, 2019.
Enjoy scraping web with detailed tutorial