Machine Learning

Overview :

Data Science involves the concepts of Machine learning, which in turn is the study of algorithms that can learn and modify itself according to the data provided.

Below you can learn in this article :

->  Define Data Science.
->  Understand the fundamentals of Machine Learning.
->  Describe the concepts of Supervised and Unsupervised Learning.

What is Data Science?

Data Science is defined as the process of extracting knowledge from a given set of data.

  

The extraction of data is done by applying techniques and theories of various fields like statistics, signal processing, probability models, data engineering, pattern recognition, predictive analysis, data warehousing and machine learning. The practitioners are called Data Scientists.

 Data Science Time Line :

Data science has existed ever since the inception of time. For example, in ancient times, before the invention of the sun dial, the time of the day and the time of dusk could be told by looking at the sky. Similarly, a change in the weather pattern could be predicted by the farmers for over centuries.

 

Data science has been growing perpetually ever since. Now let’s take a look at a few pivotal instances in the development of data science as a new field.

In the year 2001, William S. Cleveland introduced Data Science as an independent field in his article titled, ‘Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics’. 

Machine Learning Algorithms Cheat Sheet :


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