KDnuggets

APRIL 19, 2023

We will be focusing on statistics, core data science concepts, NLP, prompt engineering, data science portfolio, interview preparation, and AIOps.

Portfolio 118

Portfolio Data Science Data Engineering 118

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. in today's data-driven world, Consolidating, processing, and making meaning of this data in order to derive insights that can guide decision-making is the difficult part.

Process 59

Process Data Mining Aggregated Data Portfolio 59

The Pragmatic Engineer

APRIL 19, 2023

When I think back on the software engineers I looked up to, they all shared this trait where they never took anything at face value. They regularly questioned statements that did not make sense to them, no matter how small the topic was: even if it involved admitting they did not understand a concept. After a while, I started adopting this approach.

Software Engineer 277

Software Engineer Software Engineering Engineering Media 277

Analytics Vidhya

APRIL 17, 2023

Are you a data enthusiast looking to break into the world of analytics? The field of data science and analytics is booming, with exciting career opportunities for those with the right skills and expertise. But with so many job titles and buzzwords floating around, figuring out which path to pursue can be challenging. So, let’s […] The post Data Scientist vs Data Analyst: Which is a Better Career Option to Pursue in 2023?

Data Science 238

Data Science Data Data Mining Data Analysis 238

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.

Data

Confessions of a Data Guy

APRIL 16, 2023

I was wondering the other day … since Polars now has a SQL context and is getting more popular by the day, do I need DuckDB anymore? These two tools are hot. Very hot. I haven’t seen this since Databricks and Snowflake first came out and started throwing mud at each other. You might think […] The post DuckDB vs Polars for Data Engineering. appeared first on Confessions of a Data Guy.

Data Engineering 147

Data Engineering Data Engineer Engineering SQL 147

Christophe Blefari

APRIL 21, 2023

If this picture had been generated with AI it would have been boring ( credits ) Dear readers, I hope you're doing good. We are close to the second anniversary of the newsletter. Which is crazy. Retrospectively it means that I've written 900 words on average every week for the last 102 weeks. When you look at the first edition we came a long way—lmao.

Raw Data 130

Raw Data Data Datasets SQL 130

Analytics Vidhya

APRIL 17, 2023

Introduction Well, hold onto your seats because the DataHour sessions are here to revolutionize how you learn about data-driven technologies. If you’re tired of boring, dry sessions that put you to sleep faster than a lullaby, you’re in for a treat. These sessions will cover everything from conversational intelligence to people analytics covering topics like […] The post Ace Your Data Science Skills with DataHour Sessions appeared first on Analytics Vidhya.

Data Science 224

Data Science Data Technology Deep Learning 224

Waitingforcode

APRIL 20, 2023

After a 2-years break, I had a chance to speak again, this time at the Big Data Warsaw 2023. Even though I couldn't be at Warsaw that day, I enjoyed the experience and also watched other sessions available through the conference platform.

Big Data 130

Big Data Data Engineering Data Engineer Engineering 130

Confessions of a Data Guy

APRIL 15, 2023

PySpark. One of those things to hate and love, well … kinda hard not to love. PySpark is the abstraction that lets a bazillion Data Engineers forget about that blight Scala and cuddle their wonderfully soft and ever-kind Python code, while choking down gobs of data like some Harkonnen glutton. But, that comes with […] The post The Dog Days of PySpark appeared first on Confessions of a Data Guy.

Scala 130

Scala Python Data Engineering Data Engineer 130

KDnuggets

APRIL 18, 2023

In short, generative AI — and the prompts that power them — are everywhere. But beyond the basics, what do you really know about either? Perhaps you would find a concise, focused ebook on the topics useful.

Engineering 160

Engineering 160

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.

Engineering

Analytics Vidhya

APRIL 17, 2023

Introduction Kedro is an open-source Python framework for creating reproducible, maintainable, and modular data science code. It uses best practices of software engineering to build production-ready data science pipelines. This article will give you a glimpse of Kedro framework using news classification tasks. The advantages of using Kedro are: Machine Learning Engineering: It borrows concepts from […] The post Walkthrough of Kedro Framework Using News Classification Task appeared first on

Data Science 221

Data Science Software Engineer Software Engineering Machine Learning 221

Waitingforcode

APRIL 15, 2023

In my long - but not long enough! - journey with Apache Spark I've met the "checkpointing" world in the context of Structured Streaming mostly. But this term also applies to other modules including Apache Spark SQL, so batch processing!

SQL 130

SQL Process 130

LinkedIn Engineering

APRIL 20, 2023

On the LinkedIn platform, members from around the world share their knowledge, perspectives, and discuss topics important to them. Our goal at LinkedIn is to enable them to do so in a safe, trusted, and professional environment. We’ve previously discussed the various systems used to create a safe and trusted experience for our members and how we keep the LinkedIn Feed relevant for our members on LinkedIn.

Machine Learning 124

Machine Learning Utilities Accessible Accessibility 124

KDnuggets

APRIL 18, 2023

Natural Language Processing is one of the hottest areas of research. While NLP tasks may seem a bit complicated at first, they can be made easier by using the right tools. This article covers a list of the top 6 NLP Libraries that can save you time and effort.

Process 159

Process 159

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.

Building

Snowflake

APRIL 20, 2023

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions , and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection , AI assistant , and MathGPT.

Building 118

Building Unstructured Data Government Coding 118

Engineering at Meta

APRIL 17, 2023

What the research is: Millisampler is one of Meta’s latest characterization tools and allows us to observe, characterize, and debug network performance at high-granularity timescales efficiently. This lightweight network traffic characterization tool for continual monitoring operates at fine, configurable timescales. It collects time series of ingress and egress traffic volumes, number of active flows, incoming ECN marks, and ingress and egress retransmissions.

Bytes 109

Bytes Transportation Data Collection Coding 109

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

KDnuggets

APRIL 20, 2023

CTGAN and other generative AI models can create synthetic tabular data for ML training, data augmentation, testing, privacy-preserving sharing, and more.

Data 160

Data Machine Learning 160

Advertisement

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.

Project

InData Labs

APRIL 20, 2023

Gaining valuable insight into customer preferences and concerns is paramount to the success of any business. The most efficient way of doing so is by implementing sophisticated yet straightforward data capture techniques. These involve types of data capture methods such as surveys, interviews, focus groups, market studies, and many more. Knowing your customers’ needs and.

Data 98

Data Data Engineering Data Engineer Engineering 98

Towards Data Science

APRIL 17, 2023

Data teams are more important than ever before — but they need to get closer to the business. Here’s how we can right the ship. Image courtesy of Daniel Lerman on Unsplash. Over the past decade, data teams have been simultaneously underwater and riding a wave. We’ve been building modern data stacks, migrating to Snowflake like our lives depended on it, investing in headless BI, and growing our teams faster than you can say reverse ETL.

Data 96

Data Data Engineering Data Engineer Engineering 96

The Modern Data Company

APRIL 17, 2023

DataOS® Solution: Patient360 Healthcare organizations that can leverage a Patient 360 model are one step closer to achieving powerful patient outcomes and thriving in a changed healthcare landscape. Find out how DataOS can transform healthcare data for improved patient outcomes. Download (PDF) The post DataOS® Solution: Patient360 appeared first on TheModernDataCompany.

Healthcare 96

Healthcare Data 96

KDnuggets

APRIL 17, 2023

ChatGPT for Data Science Cheat Sheet • 4 Ways to Generate Passive Income Using ChatGPT • GPT-4: Everything You Need To Know • Automate the Boring Stuff with GPT-4 and Python • Simpson's Paradox and its Implications in Data Science • ChatGPT vs Google Bard: A Comparison of the Technical Differences • OpenChatKit: Open-Source ChatGPT Alternative • How to Use ChatGPT to Improve Your Data Science Skills

Data Science 146

Data Science Python Data IT 146

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

Building

databricks

APRIL 17, 2023

With over 13 million monthly downloads, MLflow has established itself as the premier platform for end-to-end MLOps, empowering teams of all sizes to.

102

102

ArcGIS

APRIL 17, 2023

The Generate Tessellation tool now includes H3 Hexagons, a hexagonal hierarchical spatial indexing system.

Systems 119

Systems 119

The Modern Data Company

APRIL 21, 2023

Not Getting Value from Your Data Transformation? Fix it Download (PDF) The post DataOS and Snowflake – Better Together appeared first on TheModernDataCompany.

IT 98

IT Data 98

KDnuggets

APRIL 17, 2023

Learn the basics of Web Scraping and its Python implementation. Also, get to know about the various methods of Beautiful Soup library.

Python 159

Python IT 159

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.

Certification

databricks

APRIL 17, 2023

With all the incredible progress being made in the space of Large Language Models, customers have asked us how they can enable their.

SQL 102

SQL 102

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. With the vast amount of data collected from customers, transactions, and market movements, among other sources, this abundance offers tremendous potential for financial institutions to extract valuable insights that can inform business decisions, improve customer service, and create new revenue streams.

Banking 72

Banking Portfolio Retail Finance 72

The Modern Data Company

APRIL 17, 2023

DataOS® Solution: AI/ML 70% of AI initiatives fail and teams spend the vast majority of their time simply prepping data for platforms, leaving very little left over for gaining insights and driving business value. But an AI/ML platform powered by DataOS can achieve results once and for all. Discover why DataOS is an essential piece of the AI/ML puzzle.

Data 90

Data 90

KDnuggets

APRIL 21, 2023

Dolly 2.0 was trained on a human-generated dataset of prompts and responses. The training methodology is similar to InstructGPT but with a claimed higher accuracy and lower training costs of less than $30.

Datasets 135

Datasets 135

Advertisement

“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.

Building