Thu.Nov 30, 2023

article thumbnail

The Difference Between Learning and Doing

Jesse Anderson

Lately, I’ve been learning how to trade options. Although there’s data and programming involved in options trading, it isn’t as technical as data engineering or software engineering. However, it reflects the current state of learning, whether that’s data engineering or options trading. It gave me a look into learning a skill using videos. Each lesson I learned will directly apply to your learning or skill improvement.

article thumbnail

The Top 5 Alternatives to GitHub for Data Science Projects

KDnuggets

The blog discusses five platforms designed for data scientists with specialized capabilities in managing large datasets, models, workflows, and collaboration beyond what GitHub offers.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Presenting New Partner Integrations in Partner Connect

databricks

We are excited to introduce five new integrations in Databricks Partner Connect—a one-stop portal enabling you to use partner solutions with your Databricks D.

111
111
article thumbnail

5 Free Courses to Master Data Engineering

KDnuggets

Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

article thumbnail

How to Get a Data Science Job at Top Companies in 2023?

Knowledge Hut

The job market today emphasizes experience as a major criterion. Employers consider experienced professionals better candidates since they provide more value to the company. Are you interested in knowing how to become a data scientist with no experience  but not sure how to go about it? Here you will learn how to get your first data science job. To make t hings easier for you, here is a quick tip.

article thumbnail

Find the right projection with filters in ArcGIS Pro

ArcGIS

Learn how to filter coordinate systems based on a spatial extent, GCS, or projection property.

Project 125

More Trending

article thumbnail

Crafting a Data-Driven Talent Intelligence Strategy in Healthcare

databricks

This blog was written in collaboration with Ben Eisenberg, VP of Innovation at People Data Labs, and Tom Ashenmacher, Chief Revenue Officer at.

article thumbnail

Pioneering New Pathways to Enrich Customer Engagement and Compliance

Precisely

Today’s customers expect businesses to engage with them on their own terms. They want companies to anticipate their needs, personalize offerings to their individual preferences, and present them with multiple ways to interact with the brand. That requires a deep, contextual understanding of each customer’s behaviors, intentions, and wishes. It often means predicting what the customer wants, even before they go looking for it.

article thumbnail

How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack

Monte Carlo

With more than 30 years of experience managing data at organizations like Ticketmaster and Eventbrite, Ed Presz considers himself a veteran of the data space. But when he left Eventbrite to lead the data team at Pie Insurance , that meant learning a new industry with unique challenges. From day one, Ed knew data quality was going to be key. As an insurance provider that focuses on workers’ comp and commercial auto for small businesses, Pie employees needed access to accurate, reliable informatio

article thumbnail

Impacts and Takeaways From the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

Cloudera

The Evolution of AI and LLMs Artificial intelligence (AI) and large language models (LLMs) have come a long way since their inception in the 1950s. From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions.

article thumbnail

Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

article thumbnail

How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack

Monte Carlo

With more than 30 years of experience managing data at organizations like Ticketmaster and Eventbrite, Ed Presz considers himself a veteran of the data space. But when he left Eventbrite to lead the data team at Pie Insurance , that meant learning a new industry with unique challenges. From day one, Ed knew data quality was going to be key. As an insurance provider that focuses on workers’ comp and commercial auto for small businesses, Pie employees needed access to accurate, reliable informatio