Data Machina - Issue #128

Data Machina - Issue #128

By alg01 • Issue #128 • View online

Machine Learning model interpretability vs model performance… What’s the right balance? Here’s a great presentation on applying Bayesian inference to generate human-interpretable decision sets: Human in the Loop: Bayesian Rules to Enable Explainable AI (pdf)

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10 Link-o-Troned

1. Lessons Learnt from My 2 Years of AI Research @MIT

2. Why I Lost Faith in p Values

3. Understanding & Interpreting Your Machine Learning Models

4. Optmisation Data Science: Processing Billions of GPS Data

5. A Cartography Nerd’s Guide to Custom Map Making

6. Hyperparameter Tuning & Reproducible ML at Scale

7. Why Data Scientists Should Start Learning Swift

8. ModelDB: A System to Manage Machine Learning Models

9. Streaming 100TB of Pins: Data Ingestion Pipeline @Pinterest

10. Using Presto DB + SQL to Query Kafka, MongoDB & Redis

A Pythonista *Experience*

1. A Toolbox for Geometric Insights from High-Dimensional Data

2. Interpretable Machine Learning with Python

3. Building Chatbots with Python & Facebook Messenger API

Scripting aRt

1. Reproducible Data Science Workflows with drake

2. Optimising Your Data Science Workflow with R

3. implyr: SQL Backend to dplyr for Apache Impala

Love from Julia

1. A Tutorial on Julia DataFrames

2. Time Series Toolkit in Julia

3. Quant Economics in Julia [& Python] (pdf, 1089 pages)

(Paren(th)ethical)

1. Look at All the [data & time..] Modeling Things I’m Not Doing!

2. Data-driven Microservices in Clojure

3. Intro to Deep Learning with Clojure

ScalaTOR

1. A Machine Learning Platform w/ Spark & Scala @Medium

2. Orchestra: DevOps with Scala & Kubernetes

3. Neuroflow - A Scala Lib for Training & Evaluate Neural Nets

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

1. The Data Visualization Catalogue

2. DVP - An Inspirational Browser for Data Visualization

3. Weird, Useful & Beautiful Charts for Stats & Machine Learning

Distributed de-Entangler

1. Serverless vs Containers: Comparing App Deployment Options

2. Function as a Service: AWS vs MS vs IBM vs Google

3. Hyperparameter Tuning with Kubeflow on Kubernetes

Blockchain Über Alles

1. HoloChain - Holographic Storage for Distributed Apps

2. AWS Blockchain Templates

3. Federal Reserve of St. Louis: 3 Ways Bitcoin is a Currency

IoTea - everyThing/anyThing

1. The Hacker’s Toolkit for IoT Embedded Devices

2. Spoofing a Cell Network with an USB-to-VGA Adapter

3. Garage Door Controller w/ MicroPython, ESP8266 & MQTT

Forschung!

1. Bolztmann Encoded Adversarial Machines

2. An Analysis Tool for Natural Language Understanding

3. Context is Everything: Statistical Meaning in Semantic Spaces

Algorithmic Potpourri

1. Anomaly Detection: Latest Research at Microsoft

2. Adwin Algo for Concept Drift in Machine Learning Streams

3. Introduction to Communication-Avoiding Algos (pdf)

Robots & Cyborgs like <you>

1. The Limits and Potential of Deep Learning for Robotics (pdf)

2. State Representation Learning for Robotics (pdf)

3. Autonomous Mobile Robots - ETHzurich Course Materials

Deep Learning Bits

1. Revisiting Small Batch Training for Deep Neural Nets

2. Predicting SFO Bikeshare Availability w/ TFlow & LSTM

3. Visual Exploration of Convolutions and Propagations

startups -> radar

1. Tazi.ai - Automated Machine Learning for Humans

2. Aerial Intel - State of the Art Analytics for Agro Commodities

3. Ambyint - AI Optimization of Oil Wells

ML Datasets & Stuff

1. Getting Started with SpaceNet Satellite Image Dataset

2. PeerRead - A Dataset of Scientific Peer Reviews

3. Falling Things - A Dataset for State-of-the-Art Object Detection

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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