Getting a Job in Machine Learning - getting started with machine learning for dummies

Technical interview with Machine Learning Series is written for learn to code beginners, bootcamp graduates, and people who are learning programming. You have done the hard work, now you just need to be interview ready. Subscribe to our newsletter
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• Udacity machine learning nanodegree project step by step cheat sheet
• http://www.siliconvanity.com/2017/03/udacity-machine-learning-nanodegree_21.html
• My Udacity Connect experience for Machine Learning Engineer  review of the Machine Learning Nanodegree Udacity Connect experience
• Pros and cons of Udacity Machine Learning Engineer Nanodegree Udacity connect
• Udacity connect machine learning nanodegree instructor review http://www.siliconvanity.com/2017/01/udacity-machine-learning-nanodegree.html
• MatLAB eBook on Machine Learning if you know MatLAB, you likely know it through graduate work, research, and work in the academia. MATLAB also wants to get into the machine learning game. 
• Preview of Udacity Deep Learning nanodegree http://www.siliconvanity.com/2017/11/udacity-offers-free-preview-of-its-deep.html
• Famous machine learning datasets including ImageNet VGG16 and MNIST
• Machine learning is too dry? Here's a dosage of Machine Learning explained in emojis
• Know your options, here are the top Udacity hiring partners of every nanodegree 
• Tensorflow for dummies http://www.siliconvanity.com/2017/11/what-is-tensorflow-tensorflow-for.html
• How smart is your Roomba? Does it use machine learning?  Did you know that scientists at MIT invented your new household cleaner? Learn more about this nifty gadget here.
• Getting started with Data Science? Python is the language of data science, here's why. 
• Getting with started with K-nearest Neighbors (KNN) http://www.siliconvanity.com/2017/02/machine-learning-k-nearest-neighbors.html 
• From getting real estate housing price comps and finding the most related friend groups, KNN is your friend. Here's a cheat sheet of parameters and setups that you need to get started!
• Only for fun but Leonard Da Vinci is the first artist to master Augmented Reality
• Resource : Andrew Ng's Machine Learning course at Stanford 
• Additional machine learning resources
• http://www.siliconvanity.com/2017/02/machine-learning-101-resources-lessons.html
• Udacity machine learning nanodegree syllabus 
• http://www.siliconvanity.com/2017/01/udacity-machine-learning-nanodegree_18.html
• http://www.siliconvanity.com/2016/10/udacity-machine-learning-nanodegree_31.html
• Understanding graph traversal might be quite helpful for Machine Learnist. Here's a visualization for depth first search (DFS) http://www.cs.usfca.edu/~galles/visualization/DFS.html
• Neural Networks explained https://www.youtube.com/watch?v=aircAruvnKk
• Quick reviews on Statistics
• Visualize an uniform random distribution
• An interesting analogy Sebastian Thrun (Udacity founder and Google self driving car person) uses a lot is the rubber band analogy. One can imagine cluster centroids have rubber bands attached to them, each has rubber bands attached to its nearby points. The algorithm of clustering minimize the total sum of the lengths of these rubber bands.