Sat.Apr 08, 2023 - Fri.Apr 14, 2023

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How to Ensure Data Integrity at Scale By Harnessing Data Pipelines

Ascend.io

Right now, at this moment, are you prepared to act on your company’s data? If not, why? At Ascend, we aim to make the abstract, actionable. So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently.

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An Exploration Of The Composable Customer Data Platform

Data Engineering Podcast

Summary The customer data platform is a category of services that was developed early in the evolution of the current era of cloud services for data processing. When it was difficult to wire together the event collection, data modeling, reporting, and activation it made sense to buy monolithic products that handled every stage of the customer data lifecycle.

Data Lake 147
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8 In-Demand Data Science Certifications for Career Advancement [2023]

Analytics Vidhya

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era. As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.

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The state of startup funding

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. To get full newsletters twice a week, subscribe here. A recent report in Carta’s newsletter caught my eye: The state of angel investing, as reported by Carta. Source: Carta’s The Data Minute newsletter Angel rounds – or pre-seed rounds – usually total less than $1M in funding raised.

Finance 185
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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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Data News — Week 23.15

Christophe Blefari

The only AI I'm eager to see ( credits ) Hey you, the newsletter might be late today again, but this time this is not my fault. Ghost editor was down when I wanted to write. Anyway, here the weekly Data News, written faster than usual. AI News 🤖 Yann le Cun did a 10 minutes interview at a major French radio. If you want to read the French transcript you can do it here.

Datasets 130
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Automated Machine Learning with Python: A Case Study

KDnuggets

How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

More Trending

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Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM

databricks

Two weeks ago, we released Dolly, a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka instruction-following).

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Data News — Week 23.14

Christophe Blefari

Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. The main reason behind this delay is because I've played with LLMs yesterday. I've tried to run open-source models locally on my own laptop. There are still a few bugs and the results are not really at OpenAI level but this is fun to do.

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AutoGPT: Everything You Need To Know

KDnuggets

Just when we got our heads around ChatGPT, another one came along. AutoGPT is an experimental open-source pushing the capabilities of the GPT-4 language model.

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Catching up with OpenAI by Chris Price

Scott Logic

It’s been over a year since I last blogged about OpenAI. Whilst DALL-E 2, ChatGPT and GPT4 have grabbed all of the headlines, there were a lot of other interesting things showing up on their blog in the background. This post runs through just over six months of progress from Sept 2021 - March 2022. Recursive task decomposition September 2021 One of the big constraints of the GPT series of models is the size of the input.

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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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How We Performed ETL on One Billion Records For Under $1 With Delta Live Tables

databricks

Today, Databricks sets a new standard for ETL (Extract, Transform, Load) price and performance. While customers have been using Databricks for their ETL.

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Data News — Week 13.14

Christophe Blefari

Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. The main reason behind this delay is because I've played with LLMs yesterday. I've tried to run open-source models locally on my own laptop. There are still a few bugs and the results are not really at OpenAI level but this is fun to do.

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DataLang: A New Programming Language for Data Scientists… Created by ChatGPT?

KDnuggets

I recently tasked ChatGPT-4's to come up with a new programming language appropriate for data scientists in their day to day tasks. Let's look at the results, and the process of getting there.

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How Software Bill of Materials change the dependency game

Zalando Engineering

Dependency hygiene Dependency updates are a tedious task when maintaining thousands of microservices. Some teams use tools like dependabot , scala-steward that create pull requests in repositories when new library versions are available. Other teams update dependencies regularly in bulk, supported by build system plugins (e.g. maven-versions-plugin , gradle-versions-plugin ).

Java 98
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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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Our Responsible AI Principles in Practice

LinkedIn Engineering

Co-Authors: Keren Baruch , Grace Tang , Sakshi Jain , Sam Gong, Alex Murchison , Jon Adams , and Sara Harrington We recently shared our Responsible AI principles which summarized how we build using AI at LinkedIn. These principles guide our work and ensure we are consistent in how we use AI to (1) Advance Economic Opportunity, (2) Uphold Trust, (3) Promote Fairness and Inclusion, (4) Provide Transparency, and (5) Embrace Accountability.

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Introducing Apache Spark™ 3.4 for Databricks Runtime 13.0

databricks

Today, we are happy to announce the availability of Apache Spark™ 3.4 on Databricks as part of Databricks Runtime 13.0. We extend our s.

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Baize: An Open-Source Chat Model (But Different?)

KDnuggets

So what's new in the LLM space? Meet Baize, an open-source chat model that leverages the conversational capabilities of ChatGPT. Learn how Baize works, its advantages, limitations, and more.

IT 104
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Scrum Master Goals to Maximize the Performance [with Examples]

Knowledge Hut

The primary objectives of the Scrum Master, a crucial role in the Scrum framework, are to facilitate the Scrum process, remove obstacles, coach the team, foster collaboration, and ensure accountability. On the whole, the Scrum Master is a servant leader who assists the team in achieving.its objectives, encourages continuous improvements, and aids in requirement adaptation.

Project 87
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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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LinkedIn Integrates Protocol Buffers With Rest.li for Improved Microservices Performance

LinkedIn Engineering

Authors: Karthik Ramgopal and Aman Gupta Each day, LinkedIn serves billions of member requests across all our platforms, including our web and mobile apps. It’s important that these member requests—such as viewing a company page, reading a LinkedIn article, or viewing network connections—are fulfilled quickly and that members aren’t faced with slow page load times (latency).

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How Supply Chains Are Life and Death

Snowflake

The COVID-19 pandemic, coupled with increasingly common climate-based natural disasters, showed us how vulnerable global supply chains are. But while a broken supply chain in the automobile industry may mean a shortage of spark plugs at your local auto repair shop, the same situation in the healthcare industry can result in the inability to effectively treat illness or injury.

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10 Websites to Get Amazing Data for Data Science Projects

KDnuggets

Ultimately, these websites should help you find data you care about, do a cool data science project, and use that to get a job.

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True Orthos – A Valuable Product You Should Re-Think

ArcGIS

Ture orthos are an essential product for many different use cases for Reality Mapping and can now be processed using ArcGIS Reality

Process 95
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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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#ClouderaLife Employee Spotlight: Sherry Zhou, Engineering Manager

Cloudera

As we celebrate International Women’s Day and Women’s History Month in the US, for this #ClouderaLife Employee Spotlight we sat down with Clouderan Sherry Zhou to talk about her career transition from biology to technology, her geographic transition from the US to the UK, and what she learned along the way. Sherry is an Engineering Manager for the CDV (Cloudera Data Visualization) team.

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crem: compositional representable executable machines

Tweag

State machines are a common abstraction in computer science. They can be used to represent and implement stateful processes. My interest in them stems from Domain-Driven Design and software architecture. With this blog post I’d like to explain why I think that state machines are a great tool to express and implement the domain logic of applications.

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Unlock the Wealth of Knowledge with ChatPDF

KDnuggets

ChatPDF helps you to improve the learning experience, process the documents, and explore new insights and answers from historical records.

Process 110
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True Orthomosaics – A Valuable Product You Should Re-Think

ArcGIS

Ture orthomosaics are an essential product for many different use cases for Reality Mapping and can now be processed using ArcGIS Reality

Process 89
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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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Introduction to Apache Iceberg Tables

Towards Data Science

A few Compelling Reasons to Choose Apache Iceberg for Data Lakes Continue reading on Towards Data Science »

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Enabling the Customer Data Platform with Databricks ETL Support

databricks

Customer Data Platforms (CDPs) play an increasingly important role in the enterprise marketing landscape. By bringing together data from a wide variety of.

Data 76
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Exploring Unsupervised Learning Metrics

KDnuggets

Improves your data science skill arsenals with these metrics.

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Top 8 UI/UX Project Ideas for 2023 [Beginners & Experienced]

Knowledge Hut

Since the pandemic outbreak, Tech companies have seen a significant amount of growth in their product watch-time. People are spending more and more time on their favorite mobile applications. Because of which it is becoming a need to create highly customizable and visually appealing applications in less amount of time. That's where a skill like UI/UX designing is highly valued.

Project 69
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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.