Jul 29, 2018

Data Machina - Issue #139

Data Machina - Issue #139

By alg01 • Issue #139 • View online

At the MIT Brains, Minds, and Machines Symposium, the famous linguist Chomsky replied to Steven Pinker’s question about the success of probabilistic models trained with statistical methods. Then the ever great Peter Norvig (Director @Google Research) wrote this: On Chomsky and the Two Cultures of Statistical Learning. This is a classic, must-read.

Because the Interweb - Twitter Controlled Robotic Helmet

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10 Link-o-Troned

1. Google AI Chief - Machine Learning Architecture Blueprint

2. On Word Embeddings

3. Tutorial: Version Control for Data Science Projects

4. Introduction to Google BigQuery Machine Learning

5. Cutting Through the Hype of Google AutoML

6. Membrane- Reliable, Scalable Multimedia Streams

7. t-SNE for the Web - TensorFlow.js Powered t-SNE

8. Steps Toward Super Intelligence IV, Things to Work on Now

9. Artificial Life, Constraint-Closure and Deep Learning

10. Zotero - Your Free, Personal Research Assistant

A Pythonista *Experience*

1. Grokking Pytorch - The Hitchhiker’s Guide to Pytorch

2. BYOB - Build Your Own Botnet

3. Machine Learning for Retail Price Recommendations

Scripting aRt

1. Intro to R Interface to Keras Deep Learning Library

2. [free] Spatial Modeling with Geostatistics Course in R

3. Booming Population, Climate Change and California’s Wildfires

Love from Julia

1. Bayesian Methods for Inferring Cluster Numbers

2. Monte-Carlo Simulation of Airline Overbooking

3. Intro to Julia for Data Science

(Paren(th)ethical)

1. The Intermine Query Answering NLP Project

2. Algorithms and Probabilistic Structures in Clojure

3. Hipster Clojure - Kafka Examples in Clojure

ScalaTOR

1. Patterns for Streaming Sensor Data with Akka Streams

2. Learning Linear Algebra with Scala

3. Machine Learning for Space Weather & Plasma Physics

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

1. Visualizing Human Trafficking

2. Generating a City on a Little Planet on the Web

3. Visualizing SF Bay Area Commutes with Uber’s Kepler

Distributed de-Entangler

1. Kafka on Kubernetes with Local Persistence

2. Knative - Kubernetes for Modern Serverless Workloads

3. Running Cassandra in Kubernetes

Blockchain Über Alles

1. GitHub Audit for 200 Blockchain Projects

2. Symphony Protocol Disrupting the Global Data Economy

3. Mastering Ethereum

IoTea - everyThing/anyThing

1. How to Install Tensorflow on a Raspberry Pi

2. Blocking Ads in Your Home Network with Pi-Hole & RasPi

3. Intro to Google TPU Edge and Cloud IoT Edge

Forschung!

1. Implementing Neural Turing Machines

2. RNN Encoder-Decoder Models for Anomaly Detection

3. Model-Free, Model-Based and General Intelligence

Algorithmic Potpourri

1. Optimizing a Breadth-First Search Algorithm

2. Automatic Algo Optimization w/ Fast Matrix Exponentiation

3. Text Classification Algorithms and Workflow

Robots & Cyborgs like <you>

1. Getting Drinks at the Tipsy Robot Bar

2. A New Way to Train Robot Movements with Impedance Control

3. Salto - UC Berkeley’s Biomimetic Jumping Robot

Deep Learning Bits

1. Gluon - A Deep Learning Toolkit for NLP

2. Using AWS Serverless & Tensorflow for Deep Learning

3. When Recurrent Models Don’t Need to be Recurrent

startups -> radar

1. PipelineAI - Productize Your Machine Learning

2. RemitRix - Machine Learning for Insurance

3. Urbint- Urban Intelligence for Solving Complex Urban Issues

ML Datasets & Stuff

1. A Dataset for Cause & Effect Detection

2. 170,00 UK Geolocated Tweets Dataset

3. The Reddit Suicidality Dataset

Postscript, etc

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

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alg01

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.

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