“Data Scientist: The Sexiest Job of the 21st Century.”
— Thomas H Davenport and D J Patil
In 1962, John Tukey described a field he called "data analysis", which resembles modern data science.[16] In 1985, in a lecture given to the Chinese Academy of Sciences in Beijing, C.F. Jeff Wu...
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AI applications include advanced web search engines (i.e. Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri or Alexa),
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YOU CAN FIND HERE BELOW SOME DATA SCIENCE BOOKS THAT WILL HELP YOU
Python seems to be the most widely used programming language for data scientists today. This language allows the integration of SQL, TensorFlow, and many other useful functions and libraries for data science and machine learning. Here below u can find an awesome Book.
JavaScript helps convey insights from truly big data. It offers data scientists a considerable set of libraries for building dashboards, visualization, and just about any task a data scientist would need. It's scalable, but it functions best as a secondary language rather than a primary data science language.
MATLAB is a programming language and environment specific to mathematical and statistical computing. It offers built-in tools for dynamic visualizations and offers users a deep learning toolbox that transitions well. It allows you to ease challenging mathematical processes.
Python seems to be the most widely used programming language for data scientists today. This language allows the integration of SQL, TensorFlow, and many other useful functions and libraries for data science and machine learning. Here below u can find an awesome Book.
Learning SQL, or structured query language, is vital for manipulating structured data. Large-scale datasets can contain millions of rows, making it difficult to find precisely what data you need. SQL is a querying language, allowing you to adjust, locate, and check massive data sets.
Another specialized language, Julia is specifically designed for computations and numerical analysis. Although purpose-built, it provides versatility and supports both parallel and distributed computing and is incredibly fast. It's fast enough for interactive computing and can switch to a low-level programming language if necessary.
© 2021 Data News Amine Edderraz