Boom! What to read on the weekend, Issue #48

Snapshot: data scientist salaries and jobs in Europe
http://bit.ly/2Rw0wEQ

Artificial Intelligence for Investment Research and Trading Insight
http://bit.ly/2WDT4uO

Goodbye, Mid-Range Shot
http://bit.ly/2WBPeCE

Introduction to Monte Carlo Tree Search: The Game-Changing Algorithm behind DeepMind AlphaGo
http://bit.ly/2WJsfWq

Why chatbots haven’t (yet) lived up to their hype
http://bit.ly/2WAcAIG

Enterprise adoption of AI has grown 270 percent over the past four years
https://zd.net/2Rw0VHm

Diamond Pro’s AI spots imperfection in gems
http://bit.ly/2WB6mZi

A new predictive model for more accurate electrical grid mapping
http://bit.ly/2WDwzXg

What the US-China tech and AI arms race means for the world
http://bit.ly/2WBmKsD

streenart-notstreatart: Train ResNet based model to detect if images is street art or not
http://bit.ly/2RymEhB

​​#стартапы@hitecher

Beijing-based Megvii project focuses on the development of facial recognition technology. Its Face ++ data base boasts solutions developed by 300 thousand programmers. The application performs a widest range of tasks: from identity checks of taxi drivers working for aggregator services to catching criminals. By way of example, it took the application just 7 minutes to verify a journalist’s identity.

This is how the program works: a user's picture is uploaded into the system, it integrates facial biometric data simultaneously tracking 83 key points on the face. It enables identification of a person’s face with 99% accuracy. In addition to identity verification, the program determines the person’s age, race, gender, and emotions. The application provides access to private property: for example, it allows you to track people’s movements inside a building. This capability makes the technology extremely useful for shopping centers and banks to prevent robberies.

Face ++ has a mixed reputation: human rights activists consider it to be an instrument of public control. The situation around the application is aggravated by the fact that Face ++ is part of the smart video surveillance programme in PRC. The program is also used by the Chinese police helping them to identify criminals much more efficiently than through fingerprint analysis or the viewing of videos recorded by surveillance cameras.

The startup is currently working with several companies, such as Ant Financial Alibaba — Alipay units. Face++ can be used to pay for purchases in China by just smiling into the camera. The programme is already used by more than 120 million people in China.

English soccer team hires predictive AI to coach a game. Yes, really.
http://bit.ly/2SgsmJI

Top 10 Presentations from rstudio:conf 2019 – The Best R Conference of the Year!
http://bit.ly/2Sm2koc

Why Ice Cream Is Linked to Shark Attacks – Correlation/Causation Smackdown
http://bit.ly/2Gb5KDX

Poker-Playing AI Tapped For Military Use In $10M Pentagon Deal
http://bit.ly/2GcILs5

Introduction to Pandas
http://bit.ly/2GiEGml

Nobel prizes & Laureates (1901-2018)
https://tabsoft.co/2SjMElm

FiveThirtyEight is sharing the data and code behind some of the articles and graphics.
https://53eig.ht/2HBWWZY

Artificial Intelligence and the Evolution of the Sales Process
http://bit.ly/2HHiapx

Neural Network Models in R
http://bit.ly/2Shksj3

Must-Read Tutorial to Learn Sequence Modeling
http://bit.ly/2Si1UPN

Practical Deep Learning for Coders 2019
http://bit.ly/2Rq2lD7

How to solve 90% of NLP problems: a step-by-step guide
http://bit.ly/2Rs8COw

Policy, process changes needed to safely integrate AI into clinical workflows
http://bit.ly/2Rs8AGo

Physicists use supercomputers and AI to create the most accurate model yet of black hole mergers
http://bit.ly/2WvJKcn

Conversational AI in 2018: An arms race of new products, acquisitions, and more
http://bit.ly/2WBH2lY

Homenum Revelio! AI will destroy sperm donor anonymity
http://bit.ly/2VfGfFC

Do not Miss this Comprehensive 7 Step Process to Ace Data Science Interviews!
http://bit.ly/2EsMHUi

Troubleshooting Deep Neural Networks. A Field Guide to Fixing Your Model
http://bit.ly/2EuRnsV

The 10 Highest Grossing Actors of All Time
https://tabsoft.co/2Etpdy8

Text Analysis for Online Marketers
http://bit.ly/2EswKgW

Here's an amazing book for people who want to get started with - Artificial Intelligence in Game Playing.

http://gameaibook.org/book.pdf

Lingvo: A TensorFlow Framework for Sequence Modeling

Release from #GoogleAI: general #tensorflow framework for #NLP.

#Lingvo is a deep learning framework used for sequence modeling tasks like machine translation, speech recognition, and speech synthesis.

Link: https://medium.com/tensorflow/lingvo-a-tensorflow-framework-for-sequence-modeling-8b1d6ffba5bb
Github: https://github.com/tensorflow/lingvo

Alexa, call the police! Smart assistants should come with a moral AI to decide whether to report their owners for breaking the law
https://dailym.ai/2VfI19K

Artificial Intelligence in the Military — An Overview of Capabilities
http://bit.ly/2EuqRzL

Data Versioning
http://bit.ly/2VjpY2F

Cool-Fashion-Papers: Cool resources about Fashion + AI
http://bit.ly/2VavBjA

Essential NLP Tools, Code, and Tips
http://bit.ly/2EtsqxG

Causal disentanglement is the next frontier in AI
http://bit.ly/2EureKF

Money Machines. An Interview with an Anonymous Algorithmic Trader
http://bit.ly/2EuBL8O

It is a Record-Breaking Crowd! A Tutorial to Build your First Crowd Counting Model using Deep Learning
http://bit.ly/2VfIVTG

A data scientist relationship with building predictive models
http://bit.ly/2Vk21Iz

Statistics with Python — What is Range, Variance & Standard Deviation?
http://bit.ly/2EtfZCj

Boom! What to read on the weekend, Issue #52

In China, the fight for AI supremacy starts with the young
https://s.nikkei.com/2Et4lHn

Artificial Intelligence diversity problem
http://bit.ly/2ErIXSP

Introduction to Deep Learning with flavor of NLP by Tokyo Institute of Technology
http://bit.ly/2Eu23rF

AI Safety Needs Social Scientists
http://bit.ly/2Vfn279

Why a data scientist warns against always trusting AI scientific discoveries
http://bit.ly/2ErJJzd

Reinforcement learning and optimal control
http://bit.ly/2ErKf07

Top 10 Machine Learning Algorithms For Beginners
http://bit.ly/2EsQykk

Statistics How To: Hypothesis Testing
http://bit.ly/2EsQUra

A Guide to Analyzing (American) Political Data in R
http://bit.ly/2Et1DSe

What can happen when AI decides on your loan request
http://bit.ly/2Vgjmln

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)

​​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