DataRobot Blog

FEBRUARY 16, 2022

“Integrated healthcare” has become a bit of a buzzword as of late, but no one has settled on just one definition for the term. A 2016 paper that sought to explain integrated care , laid out four different definitions and five different conceptual frameworks. But if you break down these various definitions—and the hundreds of others that are out there— integrated care is collaborative and connected care.

Machine Learning 52

Machine Learning Reporting Metrics Data Integration 52

Analytics Vidhya

FEBRUARY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP. I would recommend if you haven’t read it first read it, which will help you in […]. The post Text Cleaning Methods in NLP | Part-2 appeared first on Analytics Vidhya.

Data Science 299

Data Science Publishing Analytics IT 299

TDAN

FEBRUARY 16, 2022

No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with the growing movement to improve data literacy in the enterprise. What I want to talk about is Data Littering, which is something else entirely. Data Littering is the deliberate act of creating and distributing data […].

Enterprise 145

Enterprise Data Quality Data Governance Data Strategy 145

Analytics Vidhya

FEBRUARY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Computer vision is a field of A.I. that deals with deriving meaningful information from images. Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. These are easy to develop […].

Data Science 271

Data Science Publishing Analytics Deep Learning 271

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.

Strategy

Smart Data Collective

FEBRUARY 16, 2022

Many people appreciate the benefits of artificial intelligence. It has already transformed many sectors, including cybersecurity and manufacturing. However, few people recognize that AI is also becoming an integral part of the writing process. Many college students and marketers are using AI to generate content. A recent study found that the market for AI in the marketing sector is worth over $107 billion.

Machine Learning 129

Machine Learning Technology Marketing Manufacturing 129

KDnuggets

FEBRUARY 16, 2022

In this article, I will walk you through how you can use your data science skills to land freelance gigs.

Data Science 157

Data Science 157

KDnuggets

FEBRUARY 16, 2022

How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture; 5 Ways to Apply AI to Small Data Sets; Top 5 Free Machine Learning Courses; Junior Data Scientist: The Next Level.

Data Architecture 104

Data Architecture Machine Learning IT 104

TDAN

FEBRUARY 16, 2022

One of the most common and important dialogues is when the enterprise data architect expresses the need to integrate and the project manager is completely focused on developing their specific application. The following type of conversation will often happen: Enterprise Data architect for a large company: “We have been asked to help on this project […].

Enterprise 64

Enterprise Management Data Architecture Data Strategy 64

KDnuggets

FEBRUARY 16, 2022

Also: The High Paying Side Hustles for Data Scientists; Why Do Machine Learning Models Die In Silence?; SQL Interview Questions for Experienced Professionals; and more!

Data Science 81

Data Science Machine Learning Modeling 81

Darkhorse

FEBRUARY 16, 2022

Using physical objects to display data and create visualizations may seem counterintuitive, but doing so can be incredibly effective and engaging. 5 minute video: 5 of the Most Inspiring Physical Visualizations we’ve come across It takes more effort to reproduce them than their digital counterparts, but there’s novelty in engaging our other senses in experiencing data differently.

Visualization 59

Visualization Measurement IT 59

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.

Testing

Dataiku

FEBRUARY 16, 2022

We all have our shopping habits, whether it’s buying this brand of tomato sauce that we particularly appreciate or this shape of pasta that the kids ask for all the time. If both products were offered in the same pack, we would most likely buy it. Turns out, we might not be the only ones in that scenario, and many other people might be doing the same combinations.

Marketing 59

Marketing IT 59

IBM Big Data Hub

FEBRUARY 16, 2022

I’ve always been excited about artificial intelligence and the potential for it to enhance everything – whether that is in the workplace or in society. So when the Call for Code for Racial Justice initiative emerged in 2020 I just felt like I had to get involved in the AI-based projects that were proposed by the Black community in IBM and their allies.

Dashboards 57

Dashboards Publishing Modeling Data Science 57

TDAN

FEBRUARY 16, 2022

The global master data management (MDM) market is estimated to grow from USD 1.6 billion in 2019 to USD 3.4 billion by 2024, with the multi domain MDM solution segment expected to grow at the highest CAGR during this forecast period. Traditional MDM systems are purpose-built for a single type of data or domain. Each […].

Management 105

Management Forecasting Marketing Data Strategy 105

IBM Big Data Hub

FEBRUARY 16, 2022

Do you remember when you first began to think about data? Long before we learn about the concept, from the moment we are born, we are absorbing, consuming, sorting and organizing data. Nowadays, not all enterprises use data in a strategic way. Only recently have business leaders had access to much of the important data affecting their enterprises, and the tools to understand it at a granular level.

Strategy 73

Strategy Data Strategy Enterprise Risk 73

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk