Data Machina - Issue #133

Here’s a new, important thing: TD= DP + MC Temporal Difference Learning: Combining Dynamic Programming and Monte Carlo

AI Nationalism. I’m trying! to learn Chinese and planning to visit Beijing again soon. My friends in China keep telling me about the fast-paced, huge developments in all things AI, ML, DL, Blockchain, IoT… Massive VC investments, ultra-competitive startups, amazingly smart founders, solid government support, extreme edge R&D… and 84-hours work weeks, and popular Wechat AI forums at 3am! Meanwhile in the UK and Mainland Europe…zzzzz… zzzzz… Ian (founder of Songkick & Ticketmaster) just posted AI Nationalism, an excellent essay about the AI arms race among China, US and the rest of the world, and its implications. Ian’s sharp, brillliant writing is a must-read.

It has long been said that air (which others call argon) is the source of life. This is not in fact the case... Great reading this short sci-fi story called Exhalation

My Dutch friends sent a link to a data hack on helping councils to identify citizens needs with social media and data science.

1. Improving Language Understanding with Usupervised Learning

2. Netflix AI Interview Questions: Acing the AI Interview

3. Twitter Meets TensorFlow

4. AI Infrastructure & Machine Learning Operations (MLOps)

5. Tutorial: Deep Learning for Conversational AI (pdf,188 slides)

6. Detecting Image Similarity with Spark, LSH  & TensorFlow

7. Workflow for Doing Text Classification with RNNs

8. What’s New in Spark 2.3 for Machine Learning & Data Science

9. [beautiful] Model Tuning & The Bias-Variance Tradeoff

10. [useful] Universal CLI for lots of SQL & NoSQL databases

1. Intro to Automated Feature Engineering in Python

2. How to Take Advantage of spaCy & Cython for Blazing Fast NLP

3. Defeating Google Captcha w/ MS Azure Speech2Text & Python

1. Image Classification with R & Keras in 1o0 Lines of Code

2. Visualizing R Machine Learning Models in Lime

3. Ethical Machine Learning in R: Spotting Proxy Bias

1. Julia for Natural Language Processing

2. GANs with Julia

3. Parallel and Distributed MCMC Inference using Julia

1. Playing TicTacToe and Functional Minimax in Clojure

2. Drains: Fast & Flexible Sequence Aggregation in Clojure

3. Datahike - A Durable, Efficient, Lightweight Alt DB to Datomic

1. From Reactive Extensions to Reactive Streams

2. Scala API for Deep Learning Inference in MXNet 1.2

3. In-Memory, Immutable Machine Learning in Scala

1. A Day in the Life of Americans: A Data Comic

2. [interactive] 1812: When Napoleon Ventured East

3. NYCFoodiverse - Exploring 4Square NYC Restaurant Ratings

1. Alibaba’s Intelligent P2P Large-scale File Distribution System

2. Comparison: Kubernetes in Google vs. MS Azure vs. AWS

3. TiDB- A Distributed, Scalable SQL DB for Both OLTP and OLAP

1. The Blockchain is Hard

2. Blockchain is Crappy, and a Bad Vision for the Future

3. Digital Asset Transactions: When Howie Met Gary (Plastic)

1. Ultibo - Full Environment for Embedded Development on RasPi

2. RetroBSD: Unix for Microcontrollers

3. Open Source Video Event Recognition for USB/RPi Cameras

1. Sequence Generation Model for Multi-label Classification

2. How to Train 10,000-Layer Vanilla CNNs

3. Word Embeddings for Similarity & Relatedness (pdf)

1. A Gentle Intro to Algorithm Complexity Analysis

2. An Overview of Consesus Algorithms

3. The Intuition Behind the Apriori Algorithm

1. How I Built an L3-37 Star Wars Robot using Alexa

2. SEER - Simulative Emotional Expression Robot

3. Automatica - Robots vs. Music

1. Model Zoo - Open Source Deep Learning Pre-trained Models

2. seq2seq Model for Speech Recognition in TensorFlow

3. How to: Step-by-Step Image Segmentation with Deep Learning

1. Comet.ml - Github for ML Experimentation & Reproducibility

2. Predina - AI for Predicting Road Transport Risk

3. Gamalon - Like Google Docs for Creating NLP/AI Apps

1. Spotify’s 1 Million Playlist Dataset & RecSys Challenge

2. The Berkeley Mortality Dataset

3. UK Average Weekly Earnings Time-series Dataset

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