KDnuggets

AUGUST 15, 2024

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

Machine Learning 146

Machine Learning 146

databricks

AUGUST 15, 2024

An Introduction to Time Series Forecasting with Generative AI Time series forecasting has been a cornerstone of enterprise resource planning for decades. Predictions.

Retail 118

Retail 118

ArcGIS

AUGUST 15, 2024

With the growing popularity of 3D GIS, users are shifting from 2D to 3D. What is the proper method to move pre-existing 2D data onto a 3D scene?

Data 111

Data 111

KDnuggets

AUGUST 15, 2024

The Walrus operator, introduced in Python 3.8, enables assignment within expressions, but requires careful use to maintain readability. And this tutorial will teach you how.

Python 108

Python 108

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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

Cloudera

AUGUST 15, 2024

Data practitioners are consistently asked to deliver more with less, and although most executives recognize the value of innovating with data, the reality is that most data teams spend the majority of their time responding to support tickets for data access, performance and troubleshooting, and other mundane activities. At the heart of this backlog of requests is this: data is hard to work with, and it’s made even harder when users need to work to get or find what they need.

Data Warehouse 77

Data Warehouse Accessible Accessibility Designing 77

KDnuggets

AUGUST 15, 2024

Meet the demand for data science leaders with Northwestern University

Data Science 98

Data Science Data 98

Snowflake

AUGUST 15, 2024

In today's fast-paced world of media publishing, keeping up with technological advancements and changing consumer preferences is no easy task. Tight budgets, fierce competition and evolving audience behaviors add to the pressure, creating what's often termed the "content crash" — a saturation of content that makes it hard for publishers to stand out.

Media 52

Media Entertainment Algorithm Technology 52

Monte Carlo

AUGUST 15, 2024

I’m sure you’ve heard the saying “garbage in, garbage out” when it comes to data. But what if we could actually turn that garbage into something useful? In this article, we’ll look into data cleaning techniques to clean up messy data using some SQL magic. Table of Contents What Data Cleaning Techniques Involve Handling Missing Data Techniques to Handle Missing Data Removing Duplicates Correcting Inconsistencies Techniques to Correct Inconsistencies Standardizing For

Datasets 52

Datasets SQL Database Design Data Integration 52