101 of Building Blocks of Machine Learning Algorithm

101 of Building Blocks of Machine Learning Algorithm

101 of Building Blocks of Machine Learning Algorithm. What really is Machine Learning and what it is made of? In math, a function takes input values and then calculates output values based on that input. In the case of machine learning, the function should be based on what you expect to happen.

The concept of machine learning is not new, it has a long history stating back from the 1950s when Alan Turing created the Turing test to determine if a computer has real intelligence. To pass the test, the computer must be able to fool a human into believing that it is also human. Since then all the big companies have done research on Machine learning and have implemented their own algorithm or products based on machine learning the such as Microsoft’s Kinect, IBM’s Watson, Facebook’s DeepFace algorithm, Google’s Brain and the list goes on.

What really is Machine Learning and what it is made of?

ML can be thought of as a black box, where you give input to the ML algorithm which trains itself and then gives the desired output. It is like training a child to do a particular task and then after training, he sits on an exam and passes it. For a machine learning algorithm to work, it needs 4 basic ingredients.

  1. Data
  2. Model
  3. Objective Function
  4. Optimization Algorithm

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