KDnuggets

NOVEMBER 18, 2022

The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.

Data Science 160

Data Science Python Data 160

Cloudera

NOVEMBER 18, 2022

Introduction. Stream processing is about creating business value by applying logic to your data while it is in motion. Many times that involves combining data sources to enrich a data stream. Flink SQL does this and directs the results of whatever functions you apply to the data into a sink. Business use cases, such as fraud detection , advertising impression tracking, health care data enrichment, augmenting financial spend information, GPS device data enrichment, or personalized customer commun

SQL 57

SQL Database Accessible Accessibility 57

KDnuggets

NOVEMBER 18, 2022

Read research papers on neural models, word embedding, language modeling, and attention & transformers.

Process 158

Process 158

Striim

NOVEMBER 18, 2022

It’s a Tuesday night. A nurse in the emergency department (ED) receives an alert on her smartphone: the ED will be overcrowded after 1.5 hours. The alert also gives suggestions, such as the number of beds that will be filled or what type of care will be required. The nurse uses this information to communicate with transport, radiology, and lab teams to make the necessary preparations.

Healthcare 52

Healthcare Hospitality Medical Electronics 52

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 Science

KDnuggets

NOVEMBER 18, 2022

The post explains all the key elements of SQL that you must know as a data science practitioner.

SQL 156

SQL Data Science Data 156

DataKitchen

NOVEMBER 18, 2022

Part 3: Considering the Elements of Data Journeys. This is the third post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

Datasets 52

Datasets Data Lake Data Pipeline Database 52

U-Next

NOVEMBER 18, 2022

Introduction . Artificial Intelligence (AI) is a process of programming computers to make decisions for themselves. This technology creates intelligent applications capable of reasoning, learning, and acting independently. Among many things, AI finds innumerable applications in cloud computing. Cloud computing delivers computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation

Cloud Computing 52

Cloud Computing Cloud Data Cleanse Data Mining 52

Christophe Blefari

NOVEMBER 18, 2022

Scracthing the surface ( credits ) Hey you, a new Friday means data news. This week feels a bit like old data news with a variety of articles on different cool topics while I navigate through the actual data trends. Next Monday I'll present "How to build a data dream team" at Y42 meetup. I'll share in next week edition a written form of my talk.

Python 130

Python Data Warehouse Data SQL 130

U-Next

NOVEMBER 18, 2022

Introduction . The usage of AI technology has been on the rise in the business world, especially when it comes to creating business strategies. . Artificial Intelligence (AI) and Machine Learning are currently used by businesses to make their operations more efficient, improve customer experience and achieve better results. As per Artificial Intelligence Statistics 2022 , AI adoption by businesses around the globe continued at a steady pace in 2022, with more than a third of companies (35%) re

Machine Learning 52

Machine Learning Algorithm Media Technology 52

Scott Logic

NOVEMBER 18, 2022

Over the summer, in partnership with Scott Logic, the Institute for Government (IfG) ran a series of roundtable discussions with senior civil servants and government experts on the topic of Data Sharing in Government. I was a participant in all of them and through a series of blog posts, I’d like to share some reflections on key themes that arose – respecting the Chatham House rule, of course!

Government 40

Government Designing Engineering Project 40

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

DataKitchen

NOVEMBER 18, 2022

. Question: What is the difference between Data Quality and Observability in DataOps? Data Quality is static. It is the measure of data sets at any point in time. Data Observability is dynamic — it is the testing of data, integrated data, and tools acting upon data — as it is processed — that checks for flow rates and data errors.

Data 52

Data Data Integration Database Process 52