Why Many Data Science Jobs Are Actually Data Engineering

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🪐 What’s happening in tech today, November 5, 2024?

The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, George Selden was granted the 1st US patent for an automobile in 1895, India launched the Mars Orbiter Mission, its first interplanetary probe. in 2013, Franklin D. Roosevelt Was Elected U.S. President for a third time. in 1940, and we present you with these top quality stories. From How to Implement Propensity Score Matching: A Step-by-Step Guide to Why Many Data Science Jobs Are Actually Data Engineering, let’s dive right in.

Primer on Large Language Model (LLM) Inference Optimizations: 1. Background and Problem Formulation

TL;DR Overview of Large Language Model (LLM) inference, its importance, challenges, and key problem formulation.

By @mandliya [ 11 Min read ]

Overview of Large Language Model (LLM) inference, its importance, challenges, and key problem formulations.

Model is trained only once or periodically, while inference occurs far more frequently, probably thousands of times per second in production environments.

Here:

Let’s calculate the memory requirements for the LLaMA 7B model...

Why Many Data Science Jobs Are Actually Data Engineering

TL;DR Most data science job descriptions are actually for data engineers.

By @docligot [ 4 Min read ]

In the end, data engineers are the ones who make data science possible. And for those willing to embrace the challenge, the rewards can be substantial—not only in terms of career growth but in the knowledge that you’re the one quietly keeping the data-driven machine running...

Harris vs. Trump: Predicting the Bitcoin Markets Fate Post-Election

TL;DR The Bitcoin market watches closely as the race between Donald Trump and Kamala Harris nears its climax. How will the election result change the future of crypto

By @diadkov [ 5 Min read ]

With just days until the outcome of the U.S. presidential race, Bitcoin enthusiasts across the world are wondering how a win for either Donald Trump or Kamala Harris will impact the cryptocurrency market's long-term fortunes.

https://x.com/AdamSimecka/status/1851090258768572873?embedable=true

https://x.com/realDonaldTrump/status/1852033244729860397?embedable=true..

How to Implement Propensity Score Matching: A Step-by-Step Guide

TL;DR Find out when to implement Propensity Score Matching and how to use it with a detailed framework and its steps.

By @ngl21 [ 9 Min read ]

“Propensity score matching entails forming matched sets of treated and untreated subjects who share a similar value of the propensity score. Once a matched sample has been formed, the treatment effect can be estimated by directly comparing outcomes.”

There are three means of balance diagnostics:

- statistical tests..

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