Author of the future

  • Big Data: Definition, technologies, uses and training

    Big Data refers to the large amount of data collected by companies in all industries, analyzed to derive valuable insights. Find out everything you need to know about the subject. What is called Big Data? Before defining Big Data it is important to understand what Data is. This term defines quantities, characters or symbols that […]

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  • ACID: All about this important concept in Database Management

    The ACID (Atomicity, Consistency, Isolation, Durability) approach ensures the integrity of data within a database. Find out everything you need to know about this concept. Big Data offers many opportunities. However, to process the huge volume of Data generated every day, it is necessary to use databases. A database is a set of data, structured […]

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  • Pandas : the Python library dedicated to Data Science

    Pandas is a library of the Python programming language, entirely dedicated to Data Science. Find out what this tool is used for, and why it is essential for Data Scientists. Created in 1991, Python is the most popular programming language for data analysis and Machine Learning. Several advantages explain its success with Data Scientists. First […]

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  • Deep Neural Network: What is it and how is it working?

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  • Pylint: How to boost productivity through code analysis

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  • GitHub : what is it and how to learn to use it ?

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  • Hadoop: what is it and how to learn to use it?

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  • PyTorch: all about Facebook’s Deep Learning framework

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  • Managing Unbalanced Classification Problems – Part 2

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  • Managing Unbalanced Classification Problems – Part 1

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  • Framework : What is it and why is it used for?

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  • Resampling: A method for balancing data

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