Sat.Mar 25, 2023 - Fri.Mar 31, 2023

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How Data Science Can Transform Mobile App Development?

KDnuggets

Data science is an intelligent and powerful technology. By knowing how to use data science in mobile app development you can achieve great results.

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5 Machine Learning Skills Every Machine Learning Engineer Should Know in 2023

KDnuggets

Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

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Lyft in Trouble

The Pragmatic Engineer

Originally published on 30 March 2023. 👋 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 full issues twice a week, subscribe here. Disclaimer: I worked at Uber, Lyft's US competitor, between 2016-2020. As always, I aim to remain independent in my analysis: I hold no positions in any of the companies mentioned in this article, and have not been paid to write ab

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Complete Guide to Pub/Sub in Redis

Analytics Vidhya

Introduction Publish and Subscribe is a messaging mechanism having one or a set of senders sending messages and one or a group of receivers receiving these messages. These senders are called Publishers, responsible for publishing these messages, and the receivers are called Subscribers who subscribe to these Publishers to receive their notifications.

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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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Table file formats - Z-Order compaction: Delta Lake

Waitingforcode

In my recent exploration of the compaction, aka OPTIMIZE command, in Delta Lake, I found this famous Z-Ordering mode. It was one of the most outstanding features when I first heard about Delta Lake. You can't even imagine how impatient I was to see what it is doing under-the-hood. Fortunately, this time has come!

IT 130
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Polars vs Spark. Real Talk.

Confessions of a Data Guy

Real talk. Polars is all the rage. People love Spark. People use Spark for small data, but data is too big for Pandas. Spark runs on a local machine. Polars runs on a local machine. What do I choose, Spark or Polars? Does it matter? I’ve written about Polars at different points, here, and here […] The post Polars vs Spark. Real Talk. appeared first on Confessions of a Data Guy.

IT 130

More Trending

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How to Choose a Machine Learning Consulting Firm in 2023?

Analytics Vidhya

Introduction Artificial intelligence (AI) and machine learning (ML) are in the best swing to help businesses sharpen their edge over their competitors in the market. The value of the machine learning industry is estimated to be US $209.91 by 2029. There may be a number of reasons why you’d want to bring this rising technology […] The post How to Choose a Machine Learning Consulting Firm in 2023?

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Uniting the Machine Learning and Data Streaming Ecosystems - Part 1

Confluent

The future of data is real time and enriched by machine learning. How can we overcome socio-technical blockers and unite the ML and data streaming markets?

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Introduction to Linked Lists.

Confessions of a Data Guy

The post Introduction to Linked Lists. appeared first on Confessions of a Data Guy.

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A Complete Collection of Data Science Free Courses – Part 2

KDnuggets

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

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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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How LinkedIn automates cherry-picking commits to improve developer productivity

LinkedIn Engineering

Our developers at LinkedIn are constantly exploring ways to enhance and strengthen our platform, aiming to provide our members and customers with the greatest possible access to knowledge and connections. With approximately 15,000 code repositories, our developers work tirelessly to make thousands of code changes each day, improving functionality and resolving any issues that may arise.

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Confluent Achieves Google Cloud Ready - AlloyDB Designation

Confluent

Confluent announced that it has successfully achieved Google Cloud Ready - AlloyDB Designation for AlloyDB for PostgreSQL, Google Cloud’s newest fully managed PostgreSQL-compatible database service for the most demanding enterprise database workloads.

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ML Training and Deployment Pipeline Using Databricks

Ripple Engineering

Summary Managing the entire lifecycle of a machine learning (ML) model from inception to deployment in production can be a daunting task involving multiple systems and lots of moving parts. At Ripple we have a mix of cloud providers (GCP and AWS) and internally managed tools (Gitlab, Artifactory, Vault etc.), and we needed a managed solution that would help us deliver models to product use cases within a short amount of time, which led us to choose Databricks.

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Reading Minds with AI: Researchers Translate Brain Waves to Images

KDnuggets

Two researchers from Osaka University were able to reconstruct highly accurate images from human brain activity obtained by fMRI. Read this article if you are curious to find out what all the hype is about.

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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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What is GPT-4? How it is better than ChatGPT

Edureka

We were already surprised by the wonders ChatGPT has been doing, and now GPT-4 has arrived with features nobody could have ever imagined. These days, one really can’t say what else we are going to explore in the future of language models, as every day is like a new challenge for the developers of ChatGPT. OpenAI has announced the release of its latest large language model, GPT-4.

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Ready for Data Transformation but Don’t Know Where to Start? Start Here.

The Modern Data Company

Not Getting Value from Your Data Transformation? Fix it Download (PDF) The post Ready for Data Transformation but Don’t Know Where to Start? Start Here. appeared first on TheModernDataCompany.

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Are You Doing Your Data Sourcing Right? You Better!

Snowflake

We all know we’re living in challenging times—the economy, global politics, the environment. Not to make light of anything happening today, but this isn’t the first time businesses have faced difficult times. The financial crisis of the early aughts is still relatively recent history. These crises caused a retraction in the economy and a slowdown of many technology investments.

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Distance Metrics: Euclidean, Manhattan, Minkowski, Oh My!

KDnuggets

Looking to understand the most commonly used distance metrics in machine learning? This guide will help you learn all about Euclidean, Manhattan, and Minkowski distances, and how to compute them in Python.

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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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Run SQL Queries on Databricks From Visual Studio Code

databricks

Today, we are excited to announce that users can now run SQL queries on Databricks from within Visual Studio Code via a preview.

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#ClouderaLife Volunteer Spotlight Pet Day Special: Julia Ostrowski

Cloudera

In this special edition of Cloudera Cares #VolunteerSpotlight for International Pet Day, Julia Ostrowski shares her experience of fostering cats and dogs for the past two decades. About you Where are you based? I live in beautiful downtown San Jose, CA and live in a house built in 1904. What’s your job role? I have been with the Support org since starting with Hortonworks almost 8 years ago (cannot believe it’s been that long) as Director of Support Enablement, until this January when I moved

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Create a No-code GraphQL Server Using Hasura and PostgreSQL

Workfall

Reading Time: 7 minutes To handle CRUD, authorization, and business logic, backend developers frequently need to write several lines of code. All of this code must be tested, debugged, and maintained for the duration of the project. This consumes a significant amount of time that developers could be used to create new features. This blog will demonstrate to you how Hasura and PostgreSQL can help you accelerate app development and easily launch backends.

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Top Posts March 20-26: GPT-4: Everything You Need To Know

KDnuggets

GPT-4: Everything You Need To Know • OpenChatKit: Open-Source ChatGPT Alternative • Top Posts March 13-19: GPT-4: Everything You Need To Know • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • 4 Ways to Generate Passive Income Using ChatGPT

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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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The Executive’s Guide to Data, Analytics and AI Transformation, Part 1: A blueprint for modernization

databricks

Now more than ever, organizations need to adapt quickly to market opportunities and emerging risks so that they are better positioned to adapt.

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High resolution data updates to Living Atlas World Elevation Layers (March 2023)

ArcGIS

In March 2023, elevation layers have been updated with many high-res datasets covering Hong Kong, Slovenia, Germany, NSW Australia, Poland and US

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Sliding Windows in Pandas

Towards Data Science

Identify Patterns in Time-Series Data with Overlapping Window Techniques Continue reading on Towards Data Science »

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Automation in Data Science Workflows

KDnuggets

Will data science, known for replacing innately iterative work with automation, become automated? Will data scientists’ jobs be automated too?

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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.

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Cost Effective and Secure Data Sharing: The Advantages of Leveraging Data Partitions for Sharing Large Datasets

databricks

In today's business landscape, secure and cost-effective data sharing is more critical than ever for organizations looking to optimize their internal and external.

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Boost your Geoprocessing productivity with these enhancements in ArcGIS Pro 3.1

ArcGIS

Check out this blog for a quick overview of some key geoprocessing enhancements in ArcGIS Pro 3.1.

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Quarterly partner spotlight: InterWorks, BlueCloud, Slalom, and Beyond

ThoughtSpot

You know ThoughtSpot as the experience layer of the modern data stack —a five-layer cycle that includes ingesting, transforming, loading, storing, and finally interacting with your data. Bringing self-service analytics to customers is only possible through the incredible ecosystem of partners who work alongside us. Together, we help customers accelerate use cases, build better processes, and realize truly amazing business results.

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ETL vs ELT: Which One is Right for Your Data Pipeline?

KDnuggets

Learn about the differences between ETL and ELT data integration techniques and determine which is right for your data pipeline.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.