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Data Science

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Debugging PySpark
May 4, 2021 Ron Flomin Data Science

Debugging PySpark with PyCharm and AWS EMR

Have you ever found yourself developing PySpark inside EMR notebooks? Have you debugged PySpark locally, but wanted to run it over a real and big data

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April 12, 2021 Raz Oliar, CISM and CISO of Explorium Security & Privacy

Building Trust with Data Security - Why Explorium got ISO/IEC 27701 certification

Few types of regulation have ever proved to be as far-reaching or game-changing as GDPR. Pretty much any organization in the world with an online presence

April 12, 2021 Anton Peniaziev Data Science

Benchmarking SQL engines for Data Serving: PrestoDb, Trino, and Redshift

In the business of external data enrichment for data science, the main focus is on the ability to provide a fast and scalable way to aggregate, join and

Predictive Model Deployment
January 25, 2021 Joseph Sibony AI Education

A Brief Introduction to Predictive Model Deployment

You’ve built your model, you’ve located your data sources, and you’ve done all the initial processing and ETL to get your data how you want it.

What is Feature Enginering
January 4, 2021 Joseph Sibony Data Science

What is Feature Engineering?

Your data is teeming with potential insights, ready to be teased out by predictive models. But doing that isn’t only about knowing what questions to ask

data science predictions
December 16, 2020 Joseph Sibony AI Education

Looking Back and Predicting 2021: Q&A With Shai Yanovski

2020’s been a crazy year, but even with (or, should we say, because of) all the insanity, data science has had a whirlwind 12 months. The

Data Preparation Using Python
November 30, 2020 Explorium Data Science Team Data Science

How to Approach Data Preparation Using Python

As they say, the proof is in the pudding, and data preparation is where the pudding is put together. Any mistakes you make here will be

ML deployment
November 9, 2020 Joseph Sibony Data Science

ML Initiatives Aren’t Doomed To Fail — If You Build Them Right

Not to sound alarmist or anything, but machine learning (ML) initiatives can be risky. It’s true, they sound amazing, and you hear success stories left and

data pipeline
October 28, 2020 Joseph Sibony Data Science

How Explorium Upgrades Your Data Pipeline

Let’s say you own a factory that makes computers. You need to have a steady pipeline of parts and raw materials. You can approach this necessity

Categories
  • All posts
  • AI Education
  • AI for FinTech
  • Automation
  • Business Intelligence
  • Data Acquisition
  • Data Enrichment
  • Data Science
  • Explainability
  • Feature Engineering
  • Feature Selection
  • General
  • Interpretability
  • Machine Learning
  • Predictive Models
  • Security & Privacy
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