Data Science is a field that involves using statistical and computational methods to extract insights and knowledge from data. It combines various disciplines, such as statistics, mathematics, computer science, and domain-specific knowledge, to analyze and interpret complex data sets.
Data Science is a field that involves using statistical and computational methods to extract insights and knowledge from data. It combines various disciplines, such as statistics, mathematics, computer science, and domain-specific knowledge, to analyze and interpret complex data sets.
The main objective of data science is to generate actionable insights and solutions from data that can be used to inform business decisions, scientific research, or social policies.
Data scientists work with data in different formats, such as structured or unstructured data, and employ various techniques, including data mining, machine learning, and artificial intelligence, to uncover patterns and relationships in the data.
In addition to technical skills, data scientists need to possess strong analytical and problem-solving skills, communication skills, and domain-specific knowledge to effectively communicate insights to stakeholders. The applications of data science are widespread and can be found in various fields, such as finance, healthcare, marketing, and social sciences.
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Machine learning (ML) is a form of artificial intelligence (AI) that is more accurate at predicting outcomes without explicitly programming software applications to do so. Machine learning is an AI technique that allows computers to learn from experience.
The Artificial Intelligence Foundation certification tests a candidate’s knowledge and understanding of the terminology and general principles of AI.
Using the potent Keras package and the Python language, Deep Learning with Python provides an introduction to the area of deep algorithmic learning. François Chollet, the founder of Keras and a Google AI researcher, provides clear explanations.
R Language course is offered by T4TEQ Software Solutions. T4TEQ Software Solutions aims to produce skilled and well-rounded employees for the IT and ITES industries.
The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.
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