Author of the future

  • Discover everything you need to know about Jensen-Shannon Divergence, a vital concept in machine learning. Learn its principles, applications, and how it measures the similarity between probability distributions, guiding your understanding of complex data analysis.

    Jensen-Shannon divergence: Everything you need to know about this ML model

    <strong>The Jensen-Shannon divergence is used to measure the similarity between two probability distributions, particularly in the field of Machine Learning. Find out everything you need to know about this measure, from its history to its modern applications!</strong>

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  • dax time intelligence

    Power BI Time Intelligence: Everything you need to know about these DAX functions

    <strong>Power BI is highly useful for comparing two time periods. Thanks to DAX functions and Quick Measures, you can easily compare data for the same period from one year to the next or from the beginning of the year to the current date. Discover everything you need to know about Time Intelligence functions for Power BI.</strong>

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  • dataflow power bi

    Dataflow Power BI: everything you need to know about the self-service ETL tool

    <strong>Dataflow Power BI: Power BI’s Dataflow is a self-service data integration tool for Microsoft’s Business Intelligence platform. Find out how Dataflow works and how to learn how to use it.</strong>

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  • quant training

    Quantitative Analyst: Discover the best courses

    <strong>A Quantitative Analyst course equips you with all the skills needed to become a Quantitative Analyst. Explore how to pursue training for this highly sought-after career in the finance sector.<br/> In the world of finance, luck has no place. Companies now turn to Quantitative Analysts: professionals capable of developing complex mathematical models to minimize risks, enhance security, and make investment decisions.</strong>

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  • power bi incr

    Incremental Update Power BI: All you need to know

    <strong>Incremental Update Power BI: It allows you to load only the changes made to the data, rather than replacing all the data with each refresh. This saves time and resources. Learn everything you need to know about this feature!”</strong>

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  • python for beginners

    Python Programming for Beginners – Episode 3

    <strong>Python Programming for Beginners – Table of Contents:</strong>

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  • Power Query M Switch: How does it work?

    Power Query M Switch: How does it work?

    <strong>The Power Query M Switch simplifies the management of conditional expressions and lightens complex data transformation formulas. Find out all you need to know!</strong>

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  • text mining

    Text Mining: What you didn’t know

    <strong>Text mining involves using Machine Learning to analyse text. Find out everything you need to know: definition, how it works, techniques, benefits, use cases, etc.</strong>

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  • web scraping

    Web Scraping Unveiled: Your Comprehensive Guide to Data Extraction

    <strong>Web scraping is an automatic method of obtaining large amounts of data from websites. In this article, you’ll learn what web scraping is, what it can be used for and the tools needed to use it. We’ll also question its legitimacy, and finally we’ll present the various ways of applying this technology to a concrete example under Python.</strong>

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  • Staging

    Staging Area: What does this stage of the ETL process involve?

    <strong>The ‘Staging Area’ is an important step in the ETL (Extract, Transform, Load) process, which involves extracting data from heterogeneous data sources, transforming it to prepare it for analysis and loading it into a destination system such as a data warehouse or database.</strong>

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  • data science werden

    How to become a Data Scientist? The the best-kept secrets!

    Regarded as the “sexiest job of the 21st century” by <a href="https://www.hbs.edu/Pages/default.aspx">Harvard Business School</a>, the role of a Data Scientist holds promising professional prospects. Have you ever wondered <strong>how to become a Data Scientist?</strong> We’re here to outline the essential skills you need to acquire for your training!<br/> To <strong>become a Data Scientist</strong>, it’s crucial to undergo specialized Data Science training that equips you to be effective and influential from the start. However, these training programs do require certain prerequisite<a href="https://liora.io/en/python-the-most-popular-programming-language"> skills and knowledge, such as mathematics and programming.</a>

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  • CSV (comma separated values): everything you need to know about this file format

    CSV (comma separated values): everything you need to know about this file format

    <strong>The CSV (Comma Separated Values) format is used to represent data in text form, and is the preferred choice for importing, exporting and exchanging data between different applications and systems. Find out everything you need to know, and how to become an expert!</strong>

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