Sat.Nov 19, 2022 - Fri.Nov 25, 2022

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Data News — Week 22.47

Christophe Blefari

Capturing the news ( credits ) Hello you, I hope this data news finds you well. Time flies to be honest. I've launched in a rush an Advent of Data. The goal is simple, in December: 24 data people will produce 24 data gems. Every day a new piece of content will be release on a dedicated website. If you wanna join the initiative please reply, we are still looking for a few slots to be filled in.

Data 130
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How Much Math Do You Need in Data Science?

KDnuggets

There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.

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Key Benefits of HR Digital Transformation

U-Next

Introduction to Digital HR . Digital HR refers to using technology, including software and apps, to improve how a company manages its employees. There are many digital transformation benefits associated with HR. The goal is to make it easier for businesses and their employees to connect, collaborate, share information and make decisions. . These are some of the top digital transformation statistics for HR and L&D: . 71% spend about a quarter of their time on social media to share human re

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A (Stream Processing Use Case) Recipe for Thankfulness

Confluent

Our Stream Processing tutorials help you tackle real-life use cases with Apache Kafka and ksqlDB. Check out our newest Thanksgiving-themed use case: survey response analysis!

Process 57
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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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How Data and Finance Teams Can Be Friends (And Stop Being Frenemies)

Monte Carlo

Recently I wrote an article about data silos that form across the organization, often due to lack of alignment with partners. This alignment can be difficult to come by, but is crucial to a data leader’s success. With the range of internal customers to support, it can be tempting for data teams to inhabit the principles of an assembly line or even a fry cook at McDonalds.

Finance 52
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The Inescapable Conclusion: Machine Learning Is Not Like Your Brain

KDnuggets

The final article in this nine-part series summarizes the many reasons why Machine Learning is not like your brain - along with a few similarities.

More Trending

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A journey through the Foundry: Becoming an analytics engineer at dbt Labs

dbt Developer Hub

Data is an industry of sidesteppers. Most folks in the field stumble into it, look around, and if they like what they see, they’ll build a career here. This is particularly true in the analytics engineering space. Every AE I’ve talked to had envisioned themselves doing something different before finding this work in a moment of serendipity. This raises the question, how can someone become an analytics engineer intentionally ?

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How SeatGeek Reduced Data Incidents to Zero with Data Observability

Monte Carlo

Data downtime, unknown unknowns, and the specter of schema changes loom large for data teams of all stripes, and the team at SeatGeek was no exception. As the only mobile ticketing marketplace built for fan experience, SeatGeek made its name on efficient customer experiences. So, when SeatGeek’s data leaders realized they were losing too much time root-causing data issues in their BI reports, they began looking for tools to help them discover their data problems faster.

Data 52
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What is Chebychev’s Theorem and How Does it Apply to Data Science?

KDnuggets

Chebyshev’s Theorem applies to every data set and is heavily used by Statisticians, Data Scientists, and Machine Learning Engineers.

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What’s the Relationship Between Big Data and Machine Learning?

U-Next

Introduction to Machine Learning and Big Data . Big Data and Machine Learning are one of the most crucial and irreplaceable technologies today. Machine Learning allows computers to learn from data automatically without being explicitly programmed. This is done by providing the computer with training data, which it can use to improve its performance on future tasks.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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AWS re:Invent 2022: Rockset Will Be There…Will You?

Rockset

Rockset is heading to Vegas for AWS re:Invent. Will you be there? We have several opportunities for you and your team to learn more about real-time analytics and how companies like Klarna, Meta and Seesaw have made the move from batch to real time. Come by the Rockset Booth (#130) in the expo hall, November 28-December 1st. See a demo and try your hand at winning a Playstation 5 in our re:Invent prize giveaway.

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4 Strategies for Success: Deepening Relationships and Building Trust between Data Science and Business Teams

Teradata

The gap between data scientists & business users when it comes to understanding each other’s language and value is real. Find out how your org can overcome it.

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Top Posts November 14-20: Git for Data Science Cheatsheet

KDnuggets

Git for Data Science Cheatsheet • 6 Best Free Online Courses to Learn Python and Boost Your Career • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • How LinkedIn Uses Machine Learning To Rank Your Feed • 7 SQL Concepts You Should Know For Data Science.

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Organizational Health: What It Is and How HR Manages It?

U-Next

Introduction To Organizational Health . Organizational health is a measure of the effectiveness of the organization. It’s a holistic approach to organizational success that focuses on creating an environment where employees can fulfill their potential and achieve the company’s goals. . What organizational health measures are the well-being in which employees are engaged and performing at their best.

IT 52
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Why Should Software Engineers Be Good Writers?

Trio

When people think of software engineers, they generally don’t think about the painstaking authors meticulously putting together words on a page.

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Threads and messages with Rust and WebAssembly

Tweag

On most systems, you can implement concurrency using either threads or processes, where the main difference between the two is that threads share memory and processes don’t. Modern web browsers support concurrency through the Web Workers API. Although Web Workers are by default closer to a multi-process model, when used with WebAssembly you can opt-in to a more thread-like experience.

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10 Amazing Machine Learning Visualizations You Should Know in 2023

KDnuggets

Yellowbrick for creating machine learning plots with less code.

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7 Crucial Steps Involved in A Sales Process

U-Next

Introduction . Whether you work in B2B sales or direct-to-consumer sales, the sales process aims to develop an interest in your product and trust in you as a salesperson. You must be meticulous in your efforts to get a potential customer closer to making a purchase since you won’t close a sale without both. . A sales process that we see now includes the following: .

Process 52
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Artificial Intelligence & MarkLogic: An Wonderful Architecture

Knoldus

Reading Time: 3 minutes Introduction Automation is a crucial part of the Artificial Intelligence cycle. It allows organizations to perform tasks that require human input and improves tradecraft. This also increases efficiency in order to keep pace with changing technologies and requirements. And MarkLogic is providing some extra benefits in implementing AI processes.

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WebAssembly backend merged into GHC

Tweag

Tweag has been working on a GHC WebAssembly backend for some time. Recently, the WebAssembly backend merge request has landed in GHC, and is on course to appear in the upcoming 9.6 release series. This post will give a quick demonstration of how to try it out locally, and explain what comes in this patch and what will be coming next. Playing with WASM locally If you’re using nix on x86_64-linux, compiling a Haskell program to a self-contained wasm module is as simple as: $ nix shell [link] $ ech

Coding 40
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10 Most Common Data Quality Issues and How to Fix Them

KDnuggets

Ensuring data quality guarantees more data-informed decisions. Hence, this article highlights the common data quality issues and ways to overcome them.

Data 108
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What Are Explainable Artificial Intelligence (AI) Principles?

U-Next

Introduction to Explainable AI . What is explainable AI? It is the process of creating AI systems that are transparent, explainable, and interpretable. An explainable AI system provides insight into how its decisions are made by explaining its reasoning and providing sufficient information for stakeholders to understand why the system makes a specific decision. .

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Best Practices for Customer-Facing Analytics Dashboards | Propel Data Analytics Blog

Propel Data

Learn the best practices when designing your customer-facing analytics dashboards, as well as some common antipattern practices to avoid.

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Twitter’s ongoing cruel treatment of software engineers

The Pragmatic Engineer

Originally published on 24 November 2022. 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. To get this newsletter every week, subscribe here. I was really hoping to not report anything more about Twitter, and that software engineers at the company would get space to heal after the traumatic events, and to focus on building the product.

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Will Poor-Quality Data Undermine your Business?

KDnuggets

Leverage precise data to discover business opportunities, make strategic decisions, and increase ROI with a powerful data quality platform.

Data 99
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How to Generate the Right Sales Leads?

U-Next

Introduction To Sales And Leads . Most successful small business owners are constantly looking for ways to increase their customer base and grow their businesses. It can be challenging to grow a business in the long run. There’s a need to have access to a steady flow of sales leads for the growth of a business. Let’s learn about lead generation and how to generate leads through digital marketing like Facebook and LinkedIn. .

Media 52
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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A Look At The Data Systems Behind The Gameplay For League Of Legends

Data Engineering Podcast

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. In this episode Ian Schweer shares his experiences at Riot Games supporting player-focused features such as machine learning models and recommeder systems that are deployed as part of the game binary.

Systems 130
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DuckDB: Getting started for Beginners

Marc Lamberti

DuckDB is an in-process OLAP DBMS written in C++ blah blah blah, too complicated. Let’s start simple, shall we? DuckDB is the SQLite for Analytics. It has no dependencies, is extremely easy to set up, and is optimized to perform queries on data. In this hands-on tutorial, you will learn what DuckDB is, how to use it, and why it is essential for you.

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Linux for Data Science Cheatsheet

KDnuggets

KDnuggets is back with another exclusive cheatsheet, this time sharing a Linux quick reference for data science.

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Parallel World Of Data Science & FIFA World Cup

U-Next

The FIFA World Cup is often touted as the ‘greatest show on earth’. The simple reason being the universal appeal of football. It is played and followed by people from almost all countries in this world. It all started in 1930, in Uruguay, in a tournament the big European nations didn’t bother about. In turn, some of the Latin American nations didn’t take the long journey to Europe for the next two editions.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.