Tue.Jun 21, 2022

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Introducing Objectiv: Open-source product analytics infrastructure

KDnuggets

Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.

Datasets 160
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Data Sanitization with Vitess

Yelp Engineering

Our community of users will always come first, which is why Yelp takes significant measures to protect sensitive user information. In this spirit, the Database Reliability Engineering team implemented a data sanitization process long ago to prevent any sensitive information from leaving the production environment. The data sanitization process still enables developers to test new features and asynchronous jobs against a complete, real time dataset without complicated data imports.

MySQL 52
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KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022

KDnuggets

Also: The Complete Collection of Data Science Books - Part 2; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books - Part 1; Data Science Projects That Will Land You The Job in 2022; Software Developer vs Software Engineer.

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What is the difference between hashing and encryption?

U-Next

The distinction between hashing and encryption is that hashing refers to converting permanent data into message digests, but encryption operates in two ways: decoding and encoding the data. Hashing serves to maintain the information’s integrity, while md5 encryption and decryption are used to keep data out of the hands of third parties. Encryption and Hashing difference appears to be indistinguishable, yet they are not.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Plotting and Data Visualization for Data Science

KDnuggets

In this article, we examine various types of plots used in data science and machine learning.

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What is the benefit of using digital data?

U-Next

Introduction. People naturally spend a substantial portion of their day online now that digital media has become an essential part of their lives. As a result, digital platforms have become a very familiar location for individuals worldwide, and people have begun to trust the information provided on digital platforms. The term refers to any electronic information on our computers or cell phones.

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Pca in machine learning

U-Next

Principal component analysis in machine learning. Principal component analysis in machine learning is a statistical procedure that employs an immaterial transformation to convert a set of correlated variables into uncorrelated variables. PCA in machine learning is the most widely used tool in exploratory data analysis and predictive modeling in machine learning.

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5G Disruptions in Manufacturing 4.0

Teradata

Companies have started to explore deployment of 5G networks across their value chains. This post will look at the impact of 5G on manufacturing value chain activities.

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Joining Streaming and Historical Data for Real-Time Analytics: Your Options With Snowflake, Snowpipe and Rockset

Rockset

We’re excited to announce that Rockset’s new connector with Snowflake is now available and can increase cost efficiencies for customers building real-time analytics applications. The two systems complement each other well, with Snowflake designed to process large volumes of historical data and Rockset built to provide millisecond-latency queries , even when tens of thousands of users are querying the data concurrently.

Kafka 52