Data Science vs Data Analysis vs Machine Learning vs Artificial Intelligence(AI)

 

Data science, analysis, artificial intelligence(AI), and machine learning are developing at an cosmic rate and companies are presently searching for experts who can sift through the goldmine of information and offer assistance them drive quick trade choices productively. IBM predicts that by 2020, the number of employments for all U.S. information experts will increment by 364,000 openings to 2,720,000. We caught up with Eric Taylor, Senior Information Researcher at CircleUp, in a Simplilearn Fireside Chat to discover out what makes data science, data analytics, artificial intelligence, and machine learning such an energizing field and what abilities will offer assistance experts pick up a solid toehold in this fast-growing space.

First of all we have to understand that there is 3 big circles which are Computer science, Mathematics and Statistics, and knowledge or expertise of some subjects.

 

note: we have to mention that machine learning is one of the AI packages but it's know for it's big application

what is the definition of each one?

there is no official definitions but we will provide a good ones

 

 

What is Data science?

Individuals have attempted to define data science for over a decade presently, and the most perfect way to reply this question is by the definition of a Venn chart. Made by Hugh Conway in 2010, this Venn graph comprises of three circles: math and measurements, subject skill (information around the space to unique and calculate), and hacking skills. Basically on the off chance that you'll do all three, you're as of now exceedingly learned within the field of information science. 

Venn Diagram
Source: Drew Conway

 

 

 

What is Data Analytics?

A data analyst is someone who can perform basic descriptive statistics, visualize data, and communicate data points in order to reach conclusions. They must have a fundamental understanding of statistics, a thorough understanding of databases, the capacity to design new views, and the ability to visualize data. Data analytics can be thought of as the first step in data science.

 

 

 

what is artificial intelligence?

artificial intelligence is the ability of a digital computer or a computer-controlled robot to do tasks that would normally be performed by intelligent beings.
The phrase is widely used to refer to a project aimed at creating systems with human-like cognitive abilities, such as the ability to reason, discern meaning, generalize, and learn from past experiences.
Since the invention of the digital computer in the 1940s, it has been proved that computers can be programmed to perform extremely complicated jobs with ease, such as finding proofs for mathematical theorems or playing chess.
Despite ongoing increases in computer processing speed and memory capacity, no programs have yet to equal human flexibility across broader areas or in activities requiring a great deal of common knowledge.

However, certain programs have surpassed the performance levels of human specialists and professionals in completing specific tasks, and artificial intelligence in this limited sense can be found in applications as diverse as medical diagnosis, computer search engines, and voice or handwriting recognition.

What is machine learning?

Machine learning is the process of extracting data, learning from it, and forecasting future trends for a certain topic using algorithms. Statistical analysis and predictive analysis are two types of machine learning software that are used to discover trends and uncover hidden insights in data.

Facebook is an excellent example of machine learning deployment. Facebook's machine learning algorithms track every user's behavior on the social media network. The algorithm guesses one's interests and recommends articles and notifications on the news feed based on previous behavior. Machine learning is also at work when Amazon advises purchases or Netflix recommends movies based on past actions.