Tue.Jul 27, 2021

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Credit Card Fraud Detection Using Gated Recurrent Unit

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction With the rapid development of Artificial intelligence, the words like. The post Credit Card Fraud Detection Using Gated Recurrent Unit appeared first on Analytics Vidhya.

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Zendesk The Agility Playbook

Corinium

If companies weren't flexing their agility muscles before the pandemic, they certainly are now. Zendesk surveyed to help enterprise businesses stay ready, no matter what comes next. With original data and actionable insights from CX business leaders at 90,000 companies, this agility playbook will help enterprise stay ready, no matter what comes next.

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Getting Started with Natural Language Processing using Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet. The post Getting Started with Natural Language Processing using Python appeared first on Analytics Vidhya.

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CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Customer relationship management (CRM) platforms are very reliant on big data. As these platforms become more widely used, some of the data resources they depend on become more stretched. CRM providers need to find ways to address the technical debt problem they are facing through new big data initiatives. This will be easier as advances in big data make this more possible.

Big Data 129
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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.

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Understanding K – Means Clustering WIth Customer Segmentation Usecase

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will help us understand the working behind K-means. The post Understanding K – Means Clustering WIth Customer Segmentation Usecase appeared first on Analytics Vidhya.

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Cloud Technology: the Cornerstone of a Small Business’s Online Presence

Smart Data Collective

We have talked in depth about the massive benefits of cloud technology for small businesses. There are a number of compelling reasons that businesses need to turn to cloud technology to develop a strong edge against the competition. This explains why the cloud technology market will grow by $287 billion over the next four years. There are a number of cloud computing applications that can help companies improve their bottom lines.

More Trending

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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype.

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Diabetes Prediction With PyCaret

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon . The post Diabetes Prediction With PyCaret appeared first on Analytics Vidhya.

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GraphDB Users Ask: Can You Help Me Understand The Built-in GraphDB Security?

Ontotext

ONTOTEXT ANSWER: Security automation is a fairly frequent task and forgetting an important password is an inevitability of life. Fortunately, both problems are really easy to solve using the default GraphDB security module. Security is controlled by the file settings.js. , located under./work/workbench in your GraphDB home directory. By default, this would be the root GraphDB installation directory.

IT 98
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Gearing up to dive into Mariana Trench of Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon This article would try to make an effort to take the. The post Gearing up to dive into Mariana Trench of Deep Learning appeared first on Analytics Vidhya.

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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.

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Bringing Augmented Intelligence to All

DataRobot

Today we’re announcing two major milestones: the first is our Series G financing round co-led by Altimeter and Tiger Global with participation from other world-class public and private investors. Additionally, we’re announcing our acquisition of Algorithmia , a leader in MLOps. . An Unprecedented Market Opportunity. Last fall, I penned a blog post around our Series F funding, focused on the fact that the era of experimental AI is over.

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Beginner’s Guide to Cluster Analysis of Stock Returns

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction When it comes to investing it is difficult to find. The post Beginner’s Guide to Cluster Analysis of Stock Returns appeared first on Analytics Vidhya.

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DataRobot is Acquiring Algorithmia, Enhancing Leading MLOps Infrastructure to Get Models to Production Fast, with Optimized GPU Workloads at Scale

DataRobot

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. Often, they are doing this with smaller teams in place than they need due to the shortage of data scientists. It’s no wonder, then, that it can take an average of 17 months for a typical firm to break even on its returns from AI projects.

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Mathematics Behind Principle Component Analysis In Statistics

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction “Data is a precious thing and will last longer than. The post Mathematics Behind Principle Component Analysis In Statistics appeared first on Analytics Vidhya.

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Driving Business Impact for PMs

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.

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Driving Standards & Collaboration in Telco with Data & AI

Cloudera

I’m thrilled to report that Cloudera today announced its membership of the TM Forum , the leading industry standards and collaboration group for the telecommunications industry. This is an important step for our company and for our telecommunications and media customers and partners, adding significant momentum and acceleration to our development of solutions for the industry.

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Beginner’s Guide to Python OpenCV Operation: Rotation

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction As one may already know, OpenCV is a Python Package. The post Beginner’s Guide to Python OpenCV Operation: Rotation appeared first on Analytics Vidhya.

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This Month in Embedded Analytics, July 2021: The Sisense Extense Framework, Baseball, and Data Security

Sisense

Blog. The summer is heating up here in the States, and baseball season is jumping into high gear. America’s pastime has been all about data since the first box scores were written down, but modern analytics are changing how pitchers and hitters interact. Check out how Major League Baseball (MLB) is using data to crack down on “sticky stuff.” And then dig into a security doubleheader of stories that caught our eye this month, as a concert hall in Latvia relies on analytics to protect this unique

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Practicing Your Deep Learning Skills- a Hands-On Project with Keras

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction If you want to excel in the field of Data. The post Practicing Your Deep Learning Skills- a Hands-On Project with Keras appeared first on Analytics Vidhya.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Using Snowflake and Denodo to Reduce Data Modernization Downtime

CDW Research Hub

Data volumes are growing exponentially, and traditional, on-premises data warehouses are constrained, overly complex, and costly to scale. Companies feel locked into these systems as they are often tied to business-critical operations. Cloud-based solutions are promising, but some organizations are reluctant to migrate from legacy systems because it could result in costly downtime and many unknown data architecture and migration issues.

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New Anaphora and Co-reference Resolution Technique for Biographies

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Biographies of many famous personalities are very insightful and inspiring. The post New Anaphora and Co-reference Resolution Technique for Biographies appeared first on Analytics Vidhya.

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BRIDGEi2i Bags the 2021 Digital Case Study Award from ISG

bridgei2i

Bengaluru, July 27, 2021. Information Services Group (ISG), a leading global technology research and advisory firm, has recognized BRIDGEi2i’s digital transformation engagement with a Global Technology giant with the 2021 ISG Digital Case Study Awards , from among a record number of nearly 250 nominations. For the engagement called out by ISG, BRIDGEi2i had implemented Machine learning that helped the client identify and investigate fraudulent user activity at scale.

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Ransomware is Becoming the Most Prevalent Malware Attack - Don’t Become the Next Victim

Teradata

Ransomware attacks can be devastating. That’s why it’s important to stay informed about what ransomware is, how it works and the types of ransomware there are.

IT 52
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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3 Key Components of the Interdisciplinary Field of Data Science

Domino Data Lab

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Ransomware is Becoming the Most Prevalent Malware Attack - Don’t Become the Next Victim

Teradata

Ransomware attacks can be devastating. That’s why it’s important to stay informed about what ransomware is, how it works and the types of ransomware there are.

IT 52
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How Enterprise MLOps Supports Scaling Data Science

Domino Data Lab

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An In-Depth View of Data Science

Domino Data Lab

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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How Enterprise MLOps Works Throughout the Data Science Lifecycle

Domino Data Lab