Jun 10, 2018

Data Machina - Issue #132

Data Machina - Issue #132

By alg01 • Issue #132 • View online

Crucially, there’s a renaissance of tools for visualizing large-scale, high-dimensional data. Uber just open sourced Kepler - an awesome geospatial analysis tool for large-scale datasets. Days ago, Google open sourced a Tensorflow.js library for real-time interactive tSNE visualization of large, high-dimensional datasets in the browser. And my Dutch geek friends tell me this has just been released: Vaex- Lazy Out-of-Core Python DataFrames for visualizing big tabular data at a billion rows per second in your laptop. Amazing tools!

Sorry as I *really* didn’t intend to skip last week. It took a toll on me travelling to project sites in Frankfurt and Leeds, where I tried to convince certain old guard oh! Enterprise Architects about the wonders of the Lambda Architecture for real-time, large-scale machine learning.

While enduring planes & trains back to London, I really enjoyed reading The Incredible Machine

If you enjoy Data Machina, please consider a little donation. Thanks!

10 Link-o-Troned

1. [new] MLflow: An Open Source Machine Learning Platform

2. Torus: A Toolkit For Docker-First Data Science

3. How a Kalman Filter Works, In Pictures

4. The Building Blocks of Neural Networks Interpretability

5. The 7 Pillars of Causal Reasoning with Reflections on ML (pdf)

6. Probabilistic Predictions: Friendly Intro to Cross-Entropy Loss

7. An Open Source Tool for Auditing Machine Learning Models

8. So Your Data Science Project Isn’t Working

9. [free MIT video course] The Human Brain

10. [free ebook] Data Science for Startups

A Pythonista *Experience*

1. FastAI PyTorch Serverless API with AWS Lambda

2. Fast, Flexible, Performant Feature Selection for Python

3. [free ebook] Python Code for AI (pdf, 221 pages)

Scripting aRt

1. Can We Predict Flu Outcome with Machine Learning in R?

2. [new] xplain: Interactive Interpretation of Statistical Results

3. Intro to Building Deep Neural Nets with Keras in R

Love from Julia

1. Automatic Differentiation in 10 minutes with Julia

2. EAGO - Easy, Advanced Global Optimization in Julia

3. PredictMD - A Uniform Interface for Machine Learning in Julia

(Paren(th)ethical)

1. The Feynman Machine - AI Architecture in Clojure

2. Deodorant: Solving the Problems of Bayesian Optimization

3. Hyperfiddle - Interactive Prototyping with Datomic Databases

ScalaTOR

1. Numerical (Matlab-like) and Symbolic (Mathematica-like) Tool

2. A Scala ETL Library for Machine Learning Data Pipelines

3. Easy, Large-scale, Distributed Graph Processing in Scala

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

1. Quickly Build Horizon Charts for Time-series in D3

2. A Tidy Workflow for Visualizing Time-series Anomalies

3. All Roads Lead to Rome - Visualizing 3.3 Million Journeys

Distributed de-Entangler

1. Gimel: Paypal’s Distributed Analytics Processing Platform

2. Missing the Point About Microservices

3. Real Time Anomaly Prediction in Distributed Systems

Blockchain Über Alles

1. High-performance, Open Source Smart Contract Platform

2. The State of the Ethereum Network

3. Standford Uni - Predicting Price Changes in Ethereum (pdf)

IoTea - everyThing/anyThing

1. Run IoT Apps in Any Language on Multiple Linux ARM Devices

2. My Bathroom Mirror is Smarter than Yours

3. IoT Security & Pentesting 101 - A Reading List

Forschung!

1. GANs vs. Gaussian Mixture Models for High Dimensional Data

2. Scalable Multi-Class Bayesian Support Vector Machines

3. New Machine Intelligence Framework: Concepts & Prototype

Algorithmic Potpourri

1. An Algorithm for Compressing Space and Time

2. Probabilistic Algos for Approximate Matrix Decomposition

3. Distributed Algorithms: An Intuitive Approach (pdf, 392 pages)

Robots & Cyborgs like <you>

1. Teaching My Robot with Tensorflow

2. Living with a Mind-controlled Robotic Arm

3. A Curated List of Awesome Robotics Libraries

Deep Learning Bits

1. Common Architectures in Convolutional Neural Networks

2. Distributed Deep Training for TensorFlow, Keras & PyTorch

3. Deep Learning Notebooks - The Straight Dope with MXNet

startups -> radar

1. JustML- Automatic Machine Learning for Data Scientists

2. Weight & Biases- Performace Dataviz for ML at Scale

3. Pozus - AI for Fast & Accurate Human Pose Estimation

ML Datasets & Stuff

1. UC Berkeley Open-Source 100k Driving Video Database

2. The Liver Tumour Dataset Segmentation Challenge

3. Explore the Largest Electricity & Carbon Dataset

Postscript, etc

Please consider a little donation to support Data Machina

Search 3 Years of Data Machina by Topic [new search soon]

Spread the word Share Data Machina with your friends

Tips? Suggestions? Feedback? Send email to Carlos

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

Did you enjoy this issue?

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.

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

If you don't want these updates anymore, please unsubscribe here

If you were forwarded this newsletter and you like it, you can subscribe here

Powered by Revue