Check Tensorflow Version If Installation is Successful - Google Machine ...

Quickly check Tensorflow version number and successful installation.

Udacity Hiring Partners, Course Partners for Udacity Nanodegrees

Udacity announced in its first conference Intersect 2017 the following Udacity Nanodegree hiring partners. Notable ones include Didi (Uber of China), Uber, Github, Google, Facebook and Slack.

Udacity Blitz allows nanodegree graduates to become "interns" and "contractors" in Udacity Blitz workforce and work for potential clients. International hiring partners include Rakuten (eBay ecommerce giant of Japan), BMW (smart car) and more.

A comprehensive guide to Nanodegree and corresponding hiring partners:

VR Developer Nanodegree course partners are Google VR, Vive, Upload, hiring partners are Lucid, Samsung, Upload, nod

Self Driving Car course partners include Mercedes-Benz, NVIDIA, Uber ATG, Didi (Uber of China), BMW, McLaren, NEXTEV,

Robotics Nanodegree course partners are Bosch Electric Movement iRobot, Lockheed Martin, Kuka, Uber ATG

Digital Marketing Nanodegree course partners are facebook, google, moz, hootsuite, hubspot, mailchimp

Front-End Web Developer Nanodegre course partners are AT&T, Google, Github, Hack Reactor,

Machine Learning Engineer Nanodegree course partner is Kaggle (now Google)

Artificial Intelligence course partners include IBM Watson, Amazon Alexa, Didi (Uber of China)

Data Analyst Nanodegree:

Business Analytics Nanodegree course partners include alteryx, tableau,

Android Basics Nanodegree by Google

Machine Learning Nanodegree course partners include kaggle,

Full Stack Web Developer Nanodegree course partners include amazon web services, github, AT&T, Google

Android Developer Nanodegree by Google

Become an iOS Developer course partner AT&T, Lyft, Google

Data Analyst Nanodegree course partner Facebook, Tableau,

For an overview see Udacity's Hiring Partner page

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Machine Learning with Emoji for Fun?

Here's an interesting idea. Explain Machine Learning with Emojis! It's not trivial to convey complex ideas with symbols but it is a lot of fun. We introduce three concepts here: machine learning cheat sheet in emojis, KNN neighbor visualization with emojis, and Instacart math with emojis.

K mean clustering sklearn best practice - Udacity Machine Learning Nanodegree Unsupervised Learning

There are three key k means clustering parameters in sklearn that you will need to pay attention to:

• Number of centroids, aka center of clusters, initialized
• Max number of iterations, used to optimize the algorithm. Best practice recommended by Udacity is 300
• Number of different iterations, with initialization of centroids