Jun 24, 2018

Data Machina - Issue #134

Data Machina - Issue #134

By alg01 • Issue #134 • View online

A big issue in every company is: How do we automate the ML lifecycle? Many startups and enterprises are now building ML platforms, but that is not easy. In fact imo many of those inititatives will fail miserably. If you’re enduring the pain of building an ML platform, you should watch this video presentation by Matei (Co-founder of Databricks & Spark creator) MLflow: Infrastructure for the Complete ML Lifecycle

This is a great long read The Machine that Fired Me

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10 Link-o-Troned

1. Data Science vs. Statistics: Two Cultures?

2. How to Explain Gradient Boosting

3. Scalable Machine Learning with Fully Anonymised Data

4. Better Map Pins with DBSCAN & Random Forests

5. decaNLP: The Natural Language Decathlon

6. Machine Learning ROI: A Canvas for Investing in ML

7. Unifying State of the Art Deep Learning on Apache Spark

8. Tracking NLP Progress: A List of StateOfTheArt NLP Tasks

9. Rebooting AI-Postulates

10. PostgreSQL Features You May Not Know that You Should Try

A Pythonista *Experience*

1. A Feature Selection Tool for Machine Learning in Python

2. Cookbook - Bayesian Modeling with PyMC3

3. The 1Cycle Policy: Very Fast Results Training Complex Models

Scripting aRt

1. Feature Based Time-series Analysis in R

2. Cumulative Bynomial Probability with R and Shiny

3. Paralellizing Linear Regression

Love from Julia

1. First Class Statistical Missing Values in Julia

2. Translating Pytorch RNN Models to Flux in Julia

3. Analysing Cryptocurrencies Price Elasticity in Julia

(Paren(th)ethical)

1. The Ultimate Guide to Clojure Collections

2. Anglican - A Clojure Probabilistic Programming System

3. Lacinia - Walmart’s Implementation of GraphQL in Clojure

ScalaTOR

1. Aerosolve - Machine Learning Scala Package Built for Humans

2. BeakerX - Jupyter Interactive Computing Extended in Scala

3. A Type-safe, Reactive Elasticsearch Scala Client

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

1. [great] Visualizing Cities Sustainabilty Risks with Dynamic Maps

2. Time & Chances of Losing: Visualizing S&P500 Stocks Returns

3. Intro to Interactive Plots on the Web with Altair

Distributed de-Entangler

1. Kubernetes Convergence: Standardisation to Scale

2. Mocking Terraform AWS using Docker

3. Serverless Function to ETL Custom Data Sources into DW

Blockchain Über Alles

1. Is Music Blockchain Here to Stay?

2. Distributed Autonomous Banks

3. Stanford Blockchain Research Center: Projects & Course

IoTea - everyThing/anyThing

1. Computer Vision on Android Devices w/ Kotlin & Tensorflow

2. Hacking the Intel Realsense D415 In Depth Camera in Python

3. What’s New in ARKit 2: New Apps & Demos (vid, 57 min)

Forschung!

1. Polynomial Regression as an Alternative to Neural Nets

2. Recent Advances in Recurrent Neural Networks

3. Unifying Logical & Statistical AI (pdf)

Algorithmic Potpourri

1. The Reverse Collector/Appraiser Algo for Association Analysis

2. SNIPER: An Efficient Multi-scale Object Detection Algorithm

3. A Flânerie on Functional Data Structures & Related Algorithms

Robots & Cyborgs like <you>

1. Bots & Thoughts: A Review of ICRA2018 Robotics Conference

2. Teaching Uncalibrated Robots to Visually Self-Adapt

3. Augmented Reality Robotics

Deep Learning Bits

1. All the Projects - Stanford’s Deep Learning Course, Spring 2018

2. Time Series Forecasting with RNN and VAR

3. [ ;-) ] GPU- Accelerated Deep Learning on Windows 10 Native

startups -> radar

1. Zelros - AI for Augemented Insurance

2. Primer - We Build Machines that Read & Write

3. [scary] Axon - Smart Devices for Police & Military

ML Datasets & Stuff

1. The Hypelink - 3.5 billion Web Pages & 128 Billion Hyperlinks

2. The Microsoft Research Open Datasets

3. The Climate Change Dataset Collection

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?

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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