How machine learning works in the real world and how data scientists use the four necessary steps for building a machine learning application (or model). The primary building blocks of a Machine Learning system are the model, the parameters, and the learner. The model is which makes predictions; the parameters are the factors or variables & features which are considered by the model to make predictions, and the learner completes the adjustments in the parameters and the model to align the projections with the actual results.

First session to learn as a beginners to ML, go to the first post What is machine learning? learning the basics (otechtalks.tv)

MIT Course Video on Machine Learning

You’ll Learn:

It’s a beginners guide to learn the basics of the ML

1. Preparing a training data set
2. Selection of algorithm to run on the training data set
3. Training the algorithm to create the model
4. Using and improving the model 

Resources:

• What is machine learning? learning the basics
• Book: Artificial intelligence, a modern approach
• Book: Foundation of ML
• How Facebook uses ML
• Basics of Machine Learning
• Deep Learning Courses
• Edx – Machine Learning
• Coursera

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