**ML**

A ‘Day 0' Intro to Machine Learning – HashmapInc – Medium

yesterday by citadelgrad

Simple ML overview

ML
yesterday by citadelgrad

Spark Overview - Spark 1.2.2 Documentation

yesterday by citadelgrad

Modules built on Spark:

- Spark Streaming: processing real-time data streams

- Spark SQL: support for structured data and relational queries

- MLlib: built-in machine learning library

- GraphX: Spark’s new API for graph processing

- Bagel (Pregel on Spark): older, simple graph processing model

IOT
ML
- Spark Streaming: processing real-time data streams

- Spark SQL: support for structured data and relational queries

- MLlib: built-in machine learning library

- GraphX: Spark’s new API for graph processing

- Bagel (Pregel on Spark): older, simple graph processing model

yesterday by citadelgrad

302 Found

yesterday by metacreek

I’m a physicist who works at a YC startup. Our job is to help new grads get hired into their first machine learning roles. It’s hard to get hired into your first machine learning role. That means I get asked lots of questions that look like: right now, I do X.

IFTTT
Pocket
ai
ml
training
yesterday by metacreek

The intuition behind Shannon’s Entropy – Aerin Kim 🙏 – Medium

shannon-entropy
entropy
ml
probability

yesterday by hellsten

For anyone who wants to be fluent in Machine Learning, understanding Shannon’s entropy is crucial. Shannon’s Entropy leads to a function which is the bread and butter of an ML practitioner — the cross entropy that is heavily used as a loss function in classification and also the KL divergence which is widely used in variational inference.

yesterday by hellsten

Shannon Entropy, Information Gain, and Picking Balls from Buckets

yesterday by hellsten

- Entropy is in some way, the opposite of knowledge.

- In order to build the entropy formula, we want the opposite, some measure that gives us a low number for Bucket 1, a medium number for Bucket 2, and a high number for Bucket 3. No problem, this is where logarithms will come to save our life.

- The following is a very simple trick, yet used very widely, particularly in Machine Learning. See, products are never very good. Here we have a product of 4 numbers, which is not bad, but imagine if we...

entropy
machine-learning
ml
probability
statistics
- In order to build the entropy formula, we want the opposite, some measure that gives us a low number for Bucket 1, a medium number for Bucket 2, and a high number for Bucket 3. No problem, this is where logarithms will come to save our life.

- The following is a very simple trick, yet used very widely, particularly in Machine Learning. See, products are never very good. Here we have a product of 4 numbers, which is not bad, but imagine if we...

yesterday by hellsten

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

2 days ago by yufufi

MACHINE LEARNING : ALGORITHM CHEAT SHEET This machine learning cheat sheet from Microsoft Azure will help you choose the appropriate machine learning algorithms for your predictive analytics solution.

big
data
cheat
sheet
machine
learning
ml
2 days ago by yufufi

mtli/PhotoSketch: Code for Photo-Sketching: Inferring Contour Drawings from Images

2 days ago by arnicas

could be used for vector gen from images?

Images
ML
photographs
drawing
svg
2 days ago by arnicas