I'm an British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence.
Я британско-американский ученый-компьютерщик и технологический предприниматель, специализирующийся на машинном обучении и искусственном интеллекте.
Data
How Data Science Works? in Russian
1. Problem Statement:
2. Data Collection: in Russian
Data in Russian
What is Data Science?
Data science is a multidisciplinary field that uses statistical and computational methods to extract insights and knowledge from data. It involves a combination of skills and knowledge from various fields such as statistics, computer science, mathematics, and domain expertise. Data Science is kinda blended with various tools, algorithms, and machine learning principles. Most simply, it involves obtaining meaningful information or insights from structured or unstructured data through a process of analyzing, programming, and business skills. It is a field containing many elements like mathematics, statistics, computer science, etc. Those who are good at these respective fields with enough knowledge of the domain in which you are willing to work can call themselves as Data Scientist. It’s not an easy thing to do but not impossible too. You need to start from data, it’s visualization, programming, formulation, development, and deployment of your model. In the future, there will be great hype for data scientist jobs. Taking in that mind, be ready to prepare yourself to fit in this world. Data science is a field that involves using statistical and computational techniques to extract insights and knowledge from data. It is a multi-disciplinary field that encompasses aspects of computer science, statistics, and domain-specific expertise. Data scientists use a variety of tools and methods, such as machine learning, statistical modeling, and data visualization, to analyze and make predictions from data. They work with both structured and unstructured data, and use the insights gained to inform decision making and support business operations. Data science is applied in a wide range of industries, including finance, healthcare, retail, and more. It helps organizations to make data-driven decisions and gain a competitive advantage.
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What is Data Science? in Russian
Data science is a multidisciplinary field that uses statistical and computational methods to extract insights and knowledge from data. It involves a combination of skills and knowledge from various fields such as statistics, computer science, mathematics, and domain expertise. Data Science is kinda blended with various tools, algorithms, and machine learning principles. Most simply, it involves obtaining meaningful information or insights from structured or unstructured data through a process of analyzing, programming, and business skills. It is a field containing many elements like mathematics, statistics, computer science, etc. Those who are good at these respective fields with enough knowledge of the domain in which you are willing to work can call themselves as Data Scientist. It’s not an easy thing to do but not impossible too. You need to start from data, it’s visualization, programming, formulation, development, and deployment of your model. In the future, there will be great hype for data scientist jobs. Taking in that mind, be ready to prepare yourself to fit in this world. in Russian Data science is a field that involves using statistical and computational techniques to extract insights and knowledge from data. It is a multi-disciplinary field that encompasses aspects of computer science, statistics, and domain-specific expertise. Data scientists use a variety of tools and methods, such as machine learning, statistical modeling, and data visualization, to analyze and make predictions from data. They work with both structured and unstructured data, and use the insights gained to inform decision making and support business operations. Data science is applied in a wide range of industries, including finance, healthcare, retail, and more. It helps organizations to make data-driven decisions and gain a competitive advantage.
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