DATA SCIENCE AND MACHINE LEARNING THROUGH ARTIFICIAL INTELLIGENCE.

 AI < data science < Machine Learning 💗💗💗😀

As We come across the globe we may found many websites with less subdivisions and the scope of AI and Machine Learning jobs on engineering elements are becoming much popular. Till now we have covered the basics like Numpy, Pandas, Scipy, Matplotlib, Scikit-learn, stats models and so on with python through Jupyter notebook. Somewhere we see less similarities we found on the basis of Machine Learning and Artificial Intelligence. Like wise if we found the deepness of the problems and predictions on the specific Machine learning model we thought easy and deep thinking across machine learning comes rise to fields like Population growth, airlines, cabs , buses ,travel management, shipping, e-commerce, military industry, cinema industry, and also in politics, cricket, sports, ads, social media websites, chatbots  and finally in agricultural fields. It not only shows the talent in these fields and also in learning codes and decoding the contents like creating an assistant using AI and modelling through Machine Learning.

Also in doing linear regression and we come across hypothesis testing and cross validation techniques are also used for that as well. 

Coming to NLP ( Natural language processing ) we use it for understanding deep neural networks and we emphasize it in the practical elements of our surroundings. Finally we deploy it through R labs or Using Tableau and Visualization using Power - BI. 

Huge clusters are come across jupyter notebook in python likewise huge clusters are also acting on ML models.

Definition of data science - : A powerful new approach to make discoveries from data , an automated way to analyze enormous amounts of data and extract information, a new discipline that combines the aspects of statistics , mathematics, programming and visualization to turn data into information.