Machine Learning and Data

Deep learning can be considered as a subset of Machine Learning. Deep learning is a discipline that is based on learning and improving spontaneously by examining computer algorithms. While machine learning uses simpler concepts, deep learning actually works with artificial neural networks; Networks designed to mimic human thinking and learning. Until recently, these neural networks were just as limited because of their computational power at the time, and therefore necessarily limited in complexity. However, advances in Big Data analysis have allowed larger, more complex neural networks to allow computers to observe, learn, and respond to complex situations faster than humans. Deep learning has helped a lot in image classification, language translation, speech recognition and many other issues. Deep learning can identify patterns to solve any problem and solve those problems without human intervention.

https://bigpro1.com/en/deep-learning/

Artificial intelligence now helps us to more accurately and effectively diagnose diseases and develop drugs or personalize treatment methods for each patient.

One of the sub-algorithms of machine learning and artificial intelligence that has made this easier for doctors and has come to their aid is automatic machine learning. This algorithm is widely used in the pharmaceutical industry. Visit the Bigpro1 website to read a comprehensive article on the application of automated machine learning in pharmacy

State
Stata is a statistical software designed for data scientists and used for data manipulation, exploration, visualization and statistical analysis. With both a graphical user interface and a command line structure, Stata is accessible to users with or without programming knowledge. Statata is used by researchers in many fields including behavioral sciences, education, medical research, economics, political science, public policy, sociology, finance, business and marketing. It also has some options to create the desired and customized mode of the graphical environment, and users can adjust the size of text, markers, margins and other elements in their graphics.

Stata is available in four different packages, which can analyze a number of different variables and require more or less memory to run:
Stata / MP: The fastest and largest version of Stata
Stata / SE: Statata for large data sets
Stata / IC: Statata for medium data sets
Numerics by Stata: Stata for embedded and web applications
Some of the main features of Stata statistical software
Existence of statistical functions
Predictive analysis
Automatic reporting feature
Advanced programming with the ability to generate duplicates
Graphic publishing quality capability
Easy data entry and output
Technical support and resources

Click here if you want to know more about statistical analysis and its software or you want to do statistical analysis of your dissertation.