Tue.Jun 28, 2022

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Stemming vs Lemmatization in NLP: Must-Know Differences

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the field of Natural Language Processing i.e., NLP, Lemmatization and Stemming are Text Normalization techniques. These techniques are used to prepare words, text, and documents for further processing. Languages such as English, Hindi consists of several words which are often derived […].

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Semantic Models Benefit Analytical Processes

David Menninger's Analyst Perspectives

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind. The research shows how important a semantic model can be to the success of data and analytics processes.

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How to Become a Blockchain Developer?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Although blockchain is still in its infancy, the opportunities for developers to contribute are not just exciting but also many. Many businesses, including supply chains, automotive, and finance, have adopted blockchain, but it is not without problems. When a cryptocurrency, namely Bitcoin, […].

Finance 338
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24 SQL Questions You Might See on Your Next Interview

KDnuggets

Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.

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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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20 SQL Coding Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL stands for Structured Query Language. It’s a programming language to interact/query and manage RDBMS (Relational Database Management Systems). SQL skills are highly preferred and required as it’s used by many organizations in a large variety of software applications.

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11 dark secrets of data management

CIO Business Intelligence

Some call data the new oil. Others call it the new gold. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key. Encompassing data governance, data ops, data warehousing, data engineering, data analytics, data science , and more, data management, when done right, can

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3 Smart Technologies Boosting Energy Efficiency Worldwide

Smart Data Collective

The growth of smart technology is one of the most beneficial trends brought on by advances in AI. It is projected that there will be over 77 million smart homes in the United States by 2025. Smart technology is also being used by businesses and government institutions around the world. Many factors are driving the demand for smart technology. The quest for efficient and sustainable energy usage is one of the defining technological challenges of the modern age — especially as we find ourselves in

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Introduction to Memcached using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Memcached is a highly-performant distributed caching system. It is an in-memory key-value data store, which makes it a type of NoSQL database. Memcached is used by tech giants like Facebook, Twitter, Instagram, and Netflix. In my previous article, I explained Redis which […].

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Showcasing Achievements in Data, Analytics, AI, & Beyond

Dataiku

Whether it’s automating everyday tasks, elevating more people to harness the power of data, systematizing transformation, or tackling moonshot projects, data science practitioners around the world leverage Dataiku for a wide range of innovative applications. Their pioneering work is celebrated annually with the Dataiku Frontrunner Awards , where success stories and use cases from data science and AI leaders across industries are gathered and shared.

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Top 15 Important Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – Analytics India Magazine Introduction Job interviews can be scary if you are a fresher and especially if you are attending interviews on interdisciplinary roles like Data Science and Machine Learning. The tension, the doubt if you will get a yes or […]. The post Top 15 Important Data Science Interview Questions 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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Essential Math for Data Science: Eigenvectors and Application to PCA

KDnuggets

In this article, you’ll learn about the eigendecomposition of a matrix.

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Custom Named Entity Recognition using spaCy v3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Named Entity Recognition A named entity is a ‘real-world object’ that is assigned a name, for example, person, organization, or location. For more details, check my previous article on fine tune Bert for NER. All in all, NER can be summarized as […].

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Fraud Detection with Cloudera Stream Processing Part 1

Cloudera

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale.

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Interview Questions to Test your Data Science Skills

Analytics Vidhya

This article is published as a part of the Data Science Blogathon. Introduction In this article, we will go on to discuss the important crux interview question on “Data Science” & “Machine Learning” which is helpful to get a clear understanding of the techniques, and also for Machine Learning, Artificial Intelligence, and Data Science Interviews. […].

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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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Why NZ CIOs are giving ex-prisoners a second chance

CIO Business Intelligence

An innovative programme training prisoners to become web developers is helping them get a foot in the door at some of New Zealand’s biggest IT companies. Charity Take2 was established three years ago with the aim of breaking the cycle of crime by providing pathways to employment in tech. Founder and CEO Cameron Smith tells CIO New Zealand it was during his time working in recruitment he became aware of how difficult it was for people with convictions to even apply for a role.

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Dynamic SQL Queries to Transform Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. “Preponderance data opens doorways to complex and Avant analytics.” Introduction to SQL Queries Data is the premium product of the 21st century. Enterprises are focused on data stockpiling because more data leads to meticulous and calculated decision-making and opens more doors for business […].

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The four pillars of optimised enterprise computing

CIO Business Intelligence

The world has become far more complicated. For businesses, the need to balance employee safety, changed expectations about how and where we work and the changing threat landscape have changed the very nature of how we use our computers. While users have always wanted safe, reliable and high performing PCs and notebooks, delivering that in the post-pandemic world is harder than ever before.

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Crack the Data Science Interview Case study!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image 1 Introduction to Data Science Interview Case Study When asked about a business case challenge at an interview for a Machine learning engineer, Data scientist, or other comparable position, it is typical to become nervous. Top firms like FAANG like to integrate […]. The post Crack the Data Science Interview Case study!

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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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One of the Best Things You Can Do as a CIO

CIO Business Intelligence

Integrating modern data protection into the normal cycle of business is one of the best things you can do for your organization. But where do you start? That is the question. This article aims to provide you with a practical framework to improve your enterprise data protection. Start off by doing a data protection assessment of all your company’s data sources.

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Step up your Python game with Fast Python for Data Science!

KDnuggets

Fast Python for Data Science by Tiago Antao is a hands-on guide to writing Python code that can process more data, faster, and with less resources.

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D&I programs help AllianceBernstein stand out for tech talent

CIO Business Intelligence

Karl Sprules has seen firsthand how employee expectations have reshaped the already tight market for tech talent. As global head of technology and operations at AllianceBernstein, Sprules, along with his leadership colleagues, are going the extra mile to ensure the financial services company can compete in today’s seller’s market for vital tech skills. .

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Success Story: C&R Software Securely Deploys Resources Around the World with Sirius, AMS, and AWS Proserve

CDW Research Hub

The Client. C&R Software. Headquartered in Fairfax, Virginia, C&R Software has been a trusted collections partner to hundreds of major blue-chip companies for over 40 years. Their goal is to streamline collections and recovery for organizations in ways that help consumers experiencing financial difficulties return to well-being. The Challenge.

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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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The Power of Partner Ecosystems

Nutanix

HPE and Nutanix established a strategic partnership, to help our joint customers achieve their cloud, digital transformation, and operational excellence goals.

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How to Build a Successful Metadata Management Framework

Alation

Collecting and using data to make informed decisions is the new foundation for businesses. The key term here is usable : Anyone can be data rich, and collect vast troves of data. The real challenge lies in getting people to access, manage, and search for it appropriately. This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog?

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Attention Software Companies: Embed BI Analytics and Win!

Smarten

Why Spend Time and Money Developing BI? Embed BI in Your Software Product ! The research and technology consulting firm, Gartner predicts that ‘By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Whether your software business produces solutions or modules for a vertical market, a specific industry or a government or public service market, building an analytical solution to serve your clients or partners is an

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Why Tax and Transfer Pricing Software Is Essential for Multinational Companies

Jet Global

The digitalization of tax and operational transfer pricing processes can have a huge impact on a multinational company’s ability to efficiently forecast and report its tax liability. With the coming rollout of the OECD’s action plan on Base Erosion and Profit Shifting (BEPS) in over 130 countries, there are big changes looming, and today’s investments in multinational tax reporting and transfer pricing software will pay big dividends as finance teams step up to meet the challenge of shifting to

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.