#qualdo

@ apollonkondric

Machine learning and data science are not the same. Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people.

Importance of Data Science

Data science is a "concept to unify statistics, data analysis, machine learning, and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Wikipedia

Coming back to our question, yes! You need machine learning if you are a data scientist. Machine learning has got a subset of algorithms that can be used for various purposes.

Difference Between Data Science and Machine Learning

Data Science is an interdisciplinary field that requires a wide range of knowledge in maths, engineering, and IT. Machine Learning on the other hand is a subset of AI which focuses on teaching computers how to learn without being explicitly programmed. Machine Learning algorithms learn in three ways:

Supervised Learning: The algorithm is given a dataset that contains the right answers and these answers are used as a training model for the algorithm. Once trained, the algorithm can predict outcomes when new data is fed into it. E.g., Email Spam Detection, Image Recognition, etc.

Unsupervised Learning: Here the algorithm uses pattern recognition to identify hidden structures in unlabeled datasets. E.g., Anomaly detection, Association rule learning, etc.

You’ve heard of the Last Line tag. In this game, post the line that comes after your most recently written line before you write it in your WIP document. (Don’t sweat it that you’ll probably change it immediately after you post it.)

Here is the first line of the chapter of Du Doompa I am working on:

Qualdo hopped down from the barricade with a smirk. He was the same size as those Pengauani. He could sneak through the battlefield with an equal chance of being unnoticed.