Big data Vs Machine Learning, why both skills you need

Both Big data and Machine Learning skills you need for your next analytics career why…

The reason is simple..

Let us see how these are related.

To solve Big data problems you need Machine learning Skills. This what actual point. Machine Learning basically a concept.

There are many tools and Software technologies involved in developing  Machine Learning framework and algorithms.

How do you say Big data is increasing

We are entering the era of big data.

For example,

there are about 1 trillion web pages. One hour of video is uploaded to YouTube every second, amounting to 10 years of content.

The real time example is….Walmart handles more than 1M transactions per hour and has databases containing more than 2.5 petabytes (2.5 × 1015) of information.

Machine learning alogortithm
Image courtesy|Stockphotos.io

Where Machine Learning comes

This deluge of data calls for automated methods of data analysis, which is what machine learning provides.

In particular, we define machine learning as a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data!).

The best way to solve such problems is to use the tools of probability theory. Probability theory can be applied to any problem involving uncertainty.

In machine learning, uncertainty comes in many forms: what is the best prediction about the future given some past data?

what is the best model to explain some data?

what measurement should I perform next? etc.

The probabilistic approach to machine learning is closely related to the field of statistics.

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Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.