Mon.Nov 14, 2022

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How LinkedIn Uses Machine Learning To Rank Your Feed

KDnuggets

In this post, you will learn to clarify business problems & constraints, understand problem statements, select evaluation metrics, overcome technical challenges, and design high-level systems.

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Rockset Achieves 84% Better Performance on the Star Schema Benchmark with Intel Ice Lake

Rockset

Introduction We continuously enhance the performance of Rockset and evaluate different hardware offerings to find the one with the best price-performance for streaming ingestion and low-latency queries. As a result of ongoing performance enhancements, we released software that leverages 3rd Gen Intel® Xeon® Scalable processors, codenamed Ice Lake. With the move to new hardware, Rockset queries are now 84% faster than before on the Star Schema Benchmark (SSB), an industry-standard benchmark for q

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Top Posts November 7-13: How to Select Rows and Columns in Pandas

KDnuggets

How to Select Rows and Columns in Pandas • Confusion Matrix, Precision, and Recall Explained • Decision Tree Algorithm, Explained • Matrix Multiplication for Data Science (or Machine Learning) • The Most Comprehensive List of Kaggle Solutions and Ideas.

Algorithm 104
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Diagnose and Debug Apache Kafka Issues: Understanding Increased Consumer Rebalance Time

Confluent

The next time you hit a snag in your Kafka cluster, take some time to diagnose and debug. Before committing to making changes to your applications, it’s important to understand what’s causing your problem and uncover the underlying ailment.

Kafka 52
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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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5 Ways of Filtering Python Lists

KDnuggets

Filter the list elements using for loop, list comprehension, regex, filter(), and lambda functions.

Python 126
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Importance of Alumni Networks for Learners!

U-Next

Introduction . Alumni networks can be a great way to stay connected to your college or university after graduation. They are valuable resources for networking, job opportunities, and career advice. . An alumni network is a great resource if you are looking for a job. Many alums are willing to help recent graduates with their job search, and they can provide advice and contacts to help you get your foot in the door.

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How to implement serverless event-driven architectures in AWS | Propel Data Analytics Blog

Propel Data

Learn the key AWS services to implement a performant and cost-effective serverless event-driven architecture.

AWS 52
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Staged programming with typeclasses

Tweag

Staged programming consists of evaluating parts of a program at compile time for greater efficiency at runtime, as some computations would have already been executed or made more efficient during compilation. The poster child for staged programming is the exponential function: to compute a^b , if b is known at compile time, a^b can be replaced by b explicit multiplications.

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Introduction To Business Analytics Using Simulation!

U-Next

Introduction . Business Analytics is the practice of using data to make decisions about how to run a business. It tracks business metrics like sales, customer behavior, and financial performance. A simulation is a powerful tool that can be used to help with Business Analytics. By creating a model of how a business works, simulation can be used to test out different scenarios and see what the results would be.