Understanding of ML and Data Science
Hai Guys.. I am in the process of learning Data Science.I just wanted to give information as simple as possible.On my very first month of preparation I was actually confused and my mind raised so many questions regarding Data Science.Then when i searched in the net i got many definitions and explanation about Data Science. I am just trying you guys to understand what exactly the Data Science is..This is going to be very short blog..
Data Science includes:
When you take Data Science it includes AI(Artificial Intelligence), ML(Machine Learning) and Deep Learning.
- Artificial Intelligence:
AI is nothing but a human intelligence is exhibited by the machine.In industry there is something called as narrow AI , it is used to perform some specific task better than humans.Narrow AI can perform specific task but the General AI can perform multiple task like humans.
- Machine Learning(ML):
Machine Learning is an subset of AI. It helps to achieve artificial intelligence to systems that can finds patterns from the dataset. Stanford that it is easy to have ML because we no need to program or give instructions like “you do this..? , you do that..? etc. It works by itself without the help of humans.
- Deep Learning:
Deep Learning or Deep Neural Network which is used for implementing Machine Learning.
- Data Science:
It is actually similar to Machine Learning. Many would have got confusion between the Machine Learning Expert and the Data Science Expert. Data Science Expert analyses the data and work with it. Machine Learning as lot of overlap with Data Science. So, its necessary that Data Science expert should know ML and ML expert should know Data Science.
Roles of Data Scientist:
- Data Analyst
- Data Engineer
- Database Administrator
- Machine Learning Engineer
- Data Scientist
- Data Architect
- Statistician
- Business Analyst
- Data and Analytics Manager
Thank you guys.. Further more I will be publishing detail blog about Data Science.
