DataMites Offical Blog Resources for Data Science

According to Statista, the market survey report revealed that the total amount of data being consumed globally is projected to grow rapidly to 64.2 Zettabytes in 2020 and to 79 Zettabytes in 2021, while projected to grow to 180 Zettabytes by 2025 Is. From organizations trying to manoeuvre with petabytes of data, the role of a data scientist was to ...

Data science is a booming career field, with a 650% growth in jobs since 2012 and a median salary of around $125,000! In fact, data science as a career path is more remunerative than it has ever been, picturing an optimistic job landscape for 2021 and beyond. Data scientists are skilled data wranglers, who collect and scrutinize huge amounts of ...

Computer vision is a branch coming under AI, that permits computers and systems to derive meaningful information from digital images, video, and other visual input – and take actions or make recommendations based on that information. Now that AI permits computers to think, computer vision empowers them to see and perceive. On account of breakthroughs in artificial intelligence and renovation ...

Definition: Linear Regression is a supervised machine learning algorithm that describes the linear relationship between predictors and target variables. It is a statistical method for modeling relationships between dependent variables, with a given set of independent variables. It is understood that the two variables are linearly relatedIt will solve only the regression problem. With the help of a line equation, ...

According to Globenewswire, the largest newswire distribution network worldwide, the global artificial intelligence (AI) market is projected to grow from US$ 20.67 billion in 2018 to US$ 202.57 billion by 2026. Introduction: Artificial intelligence has long been a hot topic of excitement among both popular and scientific culture, with the prospective to transform businesses as well as the relationship between ...

As the US Bureau of Labor Statistics reports, the growing data science needs will create approximately 11.5 million jobs by 2026. The World Economic Forum predicts that by 2022, the data scientist profession will be the most emerging in the world. Why Data Scientist? Responsibilities of Data ScientistsGathering profusion of structured and unstructured data and turning it into useful information.Identifying ...

Tableau Origin: It was Pat Hanrahan, Christian Chabot, and Chris Stolte from Stanford University who instituted Tableau in 2003. The basic notion behind its creation was to initiate interactivity and comprehensiveness to the database industry. What is Tableau? Tableau is an immensely popular, eminent, and faster-growing data visualization tool used in the Business Intelligence Industry. It supports simplifying raw data ...

As reported by the World Economic Forum, worldwide daily data generation is predicted to increase to 463 exabytes by 2025. Data Science facilitates advanced and productive business decision-making by solving, adapting, and deploying data to gather fruitful insights. It enables proper visualization of data that is consistent for business stakeholders to build future roadmaps and trajectories. Data Science brings together ...

There is no denying the fact that ginormous amounts of data are produced every day. Every person connected to the Internet leaves a trail of data collected by different companies. Why do we need Data Science? Today’s market is transforming phenomenally with the heightening buzz surrounding AI and Machine Learning. Data science helps these new technologies by estimating the solutions ...

Data Science is an emerging technology that has a wide scope and is growing at a very fast pace. It is a field that uses a variety of techniques and tools to operate on data in order to gain valuable insights. The whole wide world is turning data-driven, resulting in a growing demand for certified data scientists. Data Science is ...