Thu.Apr 25, 2019

article thumbnail

Top 13 Data Science Resources for Analysts

Dataiku

Analysts are eager to dive into new challenges, but you've only got part of the picture if you don't have all the information necessary to understand new industries and technologies. That's why we assembled a set of free resources for analysts to activate their data science and machine learning expertise.

article thumbnail

How I Built Animated Plots in R to Analyze my Fitness Data (and you can too!)

Analytics Vidhya

Introduction We are currently in the midst of a global fitness revolution. Most of the people I know are geeking out over the latest. The post How I Built Animated Plots in R to Analyze my Fitness Data (and you can too!) appeared first on Analytics Vidhya.

Analytics 307
Insiders

Sign Up for our Newsletter

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

article thumbnail

Why companies are in need of data lineage solutions

O'Reilly on Data

The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms. In this episode of the Data Show , I spoke with Neelesh Salian , software engineer at Stitch Fix , a company that combines machine learning and human expertise to personalize shopping. As companies integrate machine learning into their products and systems, there are important foundational technologies that come into play.

article thumbnail

Enterprise Architecture and Business Process: Common Goals Require Common Tools

erwin

For decades now, the professional world has put a great deal of energy into discussing the gulf that exists between business and IT teams within organizations. They speak different languages, it’s been said, and work toward different goals. Technology plans don’t seem to account for the reality of the business, and business plans don’t account for the capabilities of the technology.

article thumbnail

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.

article thumbnail

AI everywhere: Modern predictive analytics

IBM Big Data Hub

Evolving from departmental, small-group AI projects to an enterprise data science platform can put your business on a path to significant competitive advantage. Those who don’t seize the opportunity risk falling behind the curve. But some might not be sure how to begin. If you’re interested in learning how to get going, our publication, A business guide to modern predictive analytics, is great place to start.

article thumbnail

Breaking Down Data Silos in Financial Services with a Centralized Data Management Platform

Cloudera

Organizations in the financial services industry rely on data to make strategic decisions, drive their businesses, and maintain a competitive edge. The Bank of England was discovering that legacy tools were no longer sufficient to satisfy the growing demands of analysts and economists. The Bank of England is the central bank of the United Kingdom formed in 1694.

More Trending

article thumbnail

Data Science Training Opportunities

Rocket-Powered Data Science

A few years ago, I generated a list of places to receive data science training. That list has become a bit stale. So, I have updated the list, adding some new opportunities, keeping many of the previous ones, and removing the obsolete ones. Here are 30 training opportunities that I encourage you to explore: The Booz Allen Field Guide to Data Science NVIDIA Deep Learning Institute Metis Data Science Training Leada’s online analytics labs Data Science Training by General Assembly Learn Data Scienc

article thumbnail

Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Can you tell me a bit more about your role at Protegrity? I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150
article thumbnail

Stablecoins: Solving the cryptocurrency volatility crisis

O'Reilly on Data

Resolving the volatility problem will unlock the groundwork needed for blockchain-based global payment systems. For cryptocurrency enthusiasts, the long game of blockchain ecosystems is to create open platforms controlled by no single authority, inviting open participation from anyone. This, of course, is in an effort to move forward the culture of open source, from static code branches sitting in source trees to living and evolving useful systems ready for live interaction, still egalitarian an

article thumbnail

Data, Databases and Deeds: A SPARQL Query to the Rescue

Ontotext

Deep and rich search results are paramount for thorough and accurate analysis across enterprise information systems. In this article you will read why and how SPARQL queries make for a better search and are of immense help when it comes to accessing all the independently designed and maintained datasets across an organization (and outside it) in an integrated way.

article thumbnail

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.

article thumbnail

Data, Databases and Deeds: A SPARQL Query to the Rescue

Ontotext

In a world of 2.5 quintillion bytes of data created each day, the bar for enterprise knowledge and information systems, and especially for their search functions and capabilities, is raised high. New ways of using legacy databases are put to work to bring integrated information at the fingertips of knowledge workers and to empower deeper discovery of data patterns and richer analysis of information grids.