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Ways to Reduce Dimensionality of Data

An overview of Dimensionality Reduction methods — Correlation, PCA, t-SNE, Autoencoders and their implementation in python   Dimensionality Reduction is the process of reducing the number...

Product Data Management vs Master Data Management

  The modern business world revolves around data. So much so that, as of 2018, 67.9% of Fortune 1000 companies had a Chief Data Officer (CDO), up from 12%...

Defining Genomics, Transcriptomics, and Proteomics for Data Scientists

Your genome is approximately 750 megabytes of information (3 x 10⁹ letters x 1 byte/4 letters). That’s about half the size of an operating...

Basics of SQL

Whatever you’re hoping to do with data, having SQL skills is likely to be key. That’s because despite the fact that SQL is quite old,...

A Consortium for Python Data API Standards

Over the past few years, Python has exploded in popularity for data science, machine learning, deep learning and numerical computing. New frameworks pushing forward...

The Complete Guide to Building Your Career in Data Science

What is Data Science? “Data science” is the analytical process of discovering insights and trends from data. Does it seem too simple? Well, that's because it...

Understanding BDaaS

The essence of Big Data lies within its definition of deploying high volumes of data, velocity along with the variety of data sets that can become...

Persona-driven learning journeys for data roles

Persona-driven learning journeys for data roles are a new way to think company-wide data upskilling. Here’s how to use personas to structure your company’s...

Datasets for Few-Shot Learning

Recently, deep learning has achieved impressive performance on an array of challenging problems, but its success often relies on large amounts of manually annotated training...

Key UX Metrics One Must Measure

User experience (UX) is everything today. Poor digital experience can easily and quickly reflect in your client list and thus, your bottom line. It starts...

Difference between Data Mining and Data Extraction

As two typical buzzwords related to data science, data mining and data extraction confuse a lot of people. Data mining is often misunderstood as...

A Theorem for Epidemiology

A Theorem for Epidemiology work of an Italian mathematician in the 1930s may hold the key to epidemic modeling. That's because models that try to replicate...
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SwiftUI TabView Introduction and Tab Bar Customization

  The tab bar interface appears in some of the most popular mobile apps such as Facebook, Instagram, and Twitter. A tab bar appears at...

Preparing Data in Machine Learning

Data preparation may be one of the most difficult steps in any machine learning project. The reason is that each dataset is different and highly...

Using blockchain to crack down abusive imagery

Blockchain could be an effective and efficient solution for helping to rid the internet of abusive imagery. Tackling abusive imagery can help victims...

Transforming chatbots throgh AI and ML

The increasing technology has always been a saviour for us. Technology still provides us with solutions for existing problems. One of the answers offered...
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