Jul 22, 2018

Data Machina - Issue #138

By alg01 • Issue #138 • View online

Why is Uber AI doing this? What’s the point? In Autopsy of a Deep Learning Paper, Filip exposes the shallowness of the current deep learning research masked by the ludicrous amount of compute. Good read.

If your are in London and the torrid weather hasn’t fried your brain yet, here’s a good read that’ll fry your brain: The software used to create the black hole in the movie “Interstellar” is an implementation of Einstein’s equations in 40,000 lines of C++ run on a 32,000-core render. Amazing paper.

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10 Link-o-Troned

1. Yann LeCun - Learning World Models: The Next Step Towards AI

2. Machine Learning: Alchemy for the Modern Computer Scientist

3. Geosharded Recommendations with Hilbert Curve @Tinder

4. Seedbank: Collection of Interactive Machine Learning Examples

5. An Open Framework for Research & Collaboration in AI/ML

6. The Mythos of Machine Learning Model Interpretability

7. Why We’re Building a New Data Scripting & Query Language

8. AI for a More Sustainable Planet - Submit Your Ideas

9. DevOps Empowered Data Science with Ansible

10. [free] MIT’s Mathematics for Computer Science (1006 pages)

A Pythonista *Experience*

1. A scikit-learn Compatible Package for Topological Data Analysis

2. A Tiny, Pure Python Implementation of Gradient Boosted Trees

3. scikit-learn Inspired, Model Finetuning for NLP

Scripting aRt

1. Explaining Black-box Machine Learning with caret & iml

2. Image Manipulation for Machine Learning in R

3. Physical Activity Detection from Smartphone Data with Keras

Love from Julia

1. AlphaGo Zero Implemention in Julia with Flux

2. A Julia Library for Resampling Time-series

3. Fast Poisson Random Numbers in Pure Julia

(Paren(th)ethical)

1. Clojure and Postgres: Friends in the End

2. Building a Content-based Recommender Sys in Clojure

3. Something NLP-ish in Clojure

ScalaTOR

1. Are Scala Streams Really Lazy?

2. A Decision Engine for Automated Customer Rewards

3. Teaching Evolution with Genetic Algorithms in Scala

data v-i-s-i-o-n-s

1. How to Think Visually Using Visual Analogies

2. Marvel Comics Universe: An Interactive Network Analysis

3. How to Visualize Recurring Patterns

Distributed de-Entangler

1. Serverless Architectures on AWS in Practice

2. The Only Good Reason to Adopt Microservices

3. Seven Container Design Patterns You Need to Know

Blockchain Über Alles

1. AI & Blockchain: An Introduction

2. The Aviation Blockchain Challenge

3. Plasma - UC Berkeley’s Blockchain for Global Scale

IoTea - everyThing/anyThing

1. All Your GPS Are Belong To Us: Hacking Road Nav Systems

2. A Python-based IDE for Industrial IoT Middleware

3. mqtt-spy - An Eclipse Paho Tool for Monitoring MQTT Topics

Forschung!

1. Deep Clustering for Unsupervised Learning of Visual Features

2. Universal Language Model Fine-tuning for Text Classification

3. p-Hacking and False Discovery in A/B Testing

Algorithmic Potpourri

2. ElastiKNN: Scalable, Online k-Nearest Neighbors

3. Pregel, PageRank and Dijkstra Algos in Spark GraphX

Robots & Cyborgs like <you>

1. Quadruped Swarm Robots for Engine Inspection @Rolls-Royce

2. World’s Most Powerful LiDAR - Driving Around San Francisco

3. The FlyJacket: A Jacket for Immersive Drone Fly Control

Deep Learning Bits

1. An Opinionated Intro to AutoML & Neural Architecture Search

2. Imitation Learning Tutorial ICML18

3. Train a CNN with tf.keras & CoLab, Run It in the Browser

startups -> radar

1. Humaniq - Empowering the Unbanked with Ethereum

2. Metamoto - Simulation as a Service for Autonomous Vehicles

3. Points - Financial Credit Network Powered by AI & Blockchain

ML Datasets & Stuff

1. 16 Strange Datasets for Machine Learning

2. The 2018 Football World Cup Statistics Dataset

3. The Behance Artistic Media Dataset

Postscript, etc

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Tips? Suggestions? Feedback? Send email to Carlos

Curated by Carlos @ds_ldn in the middle of the night.

Did you enjoy this issue?

By alg01

A weekly digest of machine learning curiosities, data science geekery, and other data amenities.

Curated by @ds_ldn in the middle of the night.

PLEASE NOTE: Data Machina is no longer published here. Go to https://datamachina.substack.com to get the latest Data Machina

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