Sat.Sep 24, 2022 - Fri.Sep 30, 2022

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Get to Know All About Evaluation Metrics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Evaluation metrics are used to measure the quality of the model. Selecting an appropriate evaluation metric is important because it can impact your selection of a model or decide whether to put your model into production. The mportance of cross-validation: Are evaluation metrics […].

Metrics 371
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Enhancing customer care through deep machine learning at Travelers

CIO Business Intelligence

New York-based insurance provider Travelers, with 30,000 employees and 2021 revenues of about $35 billion, is in the business of risk. Managing all of its facets, of course, requires many different approaches and tools to achieve beneficial outcomes, and Mano Mannoochahr, the companyâ??s SVP and chief data & analytics officer, has a crowâ??s nest perspective of immediate and long-term tasks to equally strengthen the company culture and customer needs. â??

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How to Correctly Select a Sample From a Huge Dataset in Machine Learning

KDnuggets

We explain how choosing a small, representative dataset from a large population can improve model training reliability.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books. Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Analysis of Australian Shark Attacks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Recently I searched for an interesting dataset to learn something new. After searching for a long time, I got a dataset on Shark Attacks in Australia. This dataset contains about 1,100 + shark bites and attempted shark bites between 1791 and early 2022, […]. The post Analysis of Australian Shark Attacks appeared first on Analytics Vidhya.

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Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

[link]. I was asked by the publisher to provide an editorial review of the book “Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins“, by Shyam Varan Nath and Pieter van Schalkwyk. For this, I received a complimentary copy of the book and no other compensation. Let us begin….

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

Table of Contents. 1) What Is Data Quality Management? 2) Why Do You Need DQM? 3) The 5 Pillars of DQM. 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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Top Blockchain Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that preserves a record of digital asset ownership. It is a means to save data and information in a secure digital format. They are well known for their critical function in cryptocurrency systems like Bitcoin, […].

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Lessons from a Senior Data Scientist

KDnuggets

The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.

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A Year After: Has Blockchain Changed Advertising by 2022?

Smart Data Collective

Last decade made a pretty bold promise to digital advertising, which more than other industries suffers from insufficient transparency and a fraudulent environment. The IAB Tech Lab conferences , in particular, frequently gathered blockchain evangelists and ad tech experts who discussed how this technology would finally drive authentication to programmatic chains.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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What you need to know about IoT in enterprise and education

CIO Business Intelligence

What you need to know about IoT in enterprise and education . In an era of data driven insights and automation, few technologies have the power to supercharge and empower decision makers like that of the Internet of Things (IoT). . As the adoption of IoT devices is expected to reach 24.1 billion by 2030, forward-thinking organisations and higher education institutions are realising that IoT technologies are providing access to insights and making things possible now that were too expensiv

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Blockchain : Proof-of-Stake (PoS)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Proof-of-stake is a cryptocurrency consensus mechanism for processing transactions and creating new blocks in the blockchain. A consensus mechanism is a method for validating records in a distributed database and keeping the database secure. In the case of cryptocurrency, the database is […].

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Welcome to TensorFlow!

KDnuggets

TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you’ll build reusable skills hands-on as you create production-ready applications.

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Here’s Why a Bootcamp Won’t Make You a Data Scientist

Smart Data Collective

Bootcamps are en vogue in all sorts of industries, with the idea being that intensive training over a short period can bring newcomers up to speed with complex concepts in a flash. This sounds good in theory, and in many contexts, it has a lot of clout. But the field of data science isn’t exactly suited to the quick and dirty approach to employee education.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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How universities can accelerate their digital transformations

CIO Business Intelligence

University leaders have long understood that the future is digital, but thereâ??s now added urgency to modernise. The pandemic is in part the cause â?? highlighting that true business resilience and digital transformation are inseparable. But there are longer-term factors at play too, including the expectations of digitally native students and the requirement to provide them with work-ready skills.

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Data Warehousing with Snowflake and Other Alternatives

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Over the past few years, Snowflake has grown from a virtual unknown to a retailer with thousands of customers. Businesses have adopted Snowflake as migration from on-premise enterprise data warehouses (such as Teradata) or a more flexibly scalable and easier-to-manage alternative to […].

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A 12-Point Checklist for Public and Open Data Sites (with Examples)

Juice Analytics

Let the data run free! Government organizations, academic institutions, non-profits, and even passionate sports fans are gathering and sharing valuable data sets with the public. The topics are wide ranging, from climate change to health to inequality to happiness. It is a powerful way to support a cause and encourage data-driven analysis. These open data sets are set loose on a website in hopes that interested visitors will come flocking.

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Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. There are a number of benefits of using it to your company’s advantage. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. A growing number of companies have leveraged big data to cut costs, improve customer engagement, have better compliance rates and earn solid brand reputations.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Free Algorithms in Python Course

KDnuggets

Algorithms are an often misunderstood concept. Leverage Python to learn what algorithms really are, and how to implement an array of basic computational algorithms in the language.

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7 Questions You Can Expect in Data Science Interview

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: DDI Introduction Data science job interviews need special skills. The candidates who succeed in landing employment are often not the ones with the best technical abilities but those who can pair such capabilities with interview acumen. Although data science is […].

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What is ERP? Enterprise resource planning systems explained

CIO Business Intelligence

ERP definition. Enterprise resource planning (ERP) is a system of integrated software applications that manages day-to-day business processes and operations across finance, human resources, procurement, distribution, supply chain, and other functions. ERP systems are critical applications for most organizations because they integrate all the processes necessary to run their business into a single system that also facilitates resource planning.

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AI-Driven Ransomware is a Terrifying Threat to Businesses

Smart Data Collective

AI technology has led to some massive changes in recent years. Most of these developments have been good. Unfortunately, there are dark sides to the evolution of AI. One of the drawbacks of AI has come in the realm of cybersecurity. On the one hand, AI has helped improve cybersecurity in some ways. On the other hand, hackers are weaponizing AI to create more horrifying attacks.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Top Posts September 19-25: 7 Machine Learning Portfolio Projects to Boost the Resume

KDnuggets

7 Machine Learning Portfolio Projects to Boost the Resume • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Decision Tree Algorithm, Explained • Free SQL and Database Course • 5 Tricky SQL Queries Solved.

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Can Voice Conversion Improve ASR in Low-Resource Settings?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Voice conversion (VC) can be used to improve the performance of speech recognition systems in low-resource languages by augmenting limited training data. However, VC has not been extensively used for this task considering the practical issues like compute speed and […].

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An expanded attack surface: The cybersecurity challenges of managing a hybrid workforce

CIO Business Intelligence

With the global pandemic upending the traditional way we work, employees across every market sector in New Zealand are now spending their workdays alternating between offices, their homes and other locations. It’s a hybrid work model that Kiwis have embraced and it is here to stay. At a recent CIO New Zealand roundtable event in Auckland, supported by Palo Alto Networks and Vodafone New Zealand, senior technology executives from organisations across Aotearoa discussed the challenge of keeping se

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Data-Driven Marketers Must Configure Outlook Data Files

Smart Data Collective

Big data has changed the marketing profession in extraordinary ways. Global companies spent over $3.2 billion on marketing analytics software last year. This figure is expected to grow in the future. There are many different ways that marketers can leverage data analytics to create successful marketing strategies. One of the biggest benefits is in the realm of email marketing.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Top 5 Machine Learning Practices Recommended by Experts

KDnuggets

this article is intended to help beginners improve their model structure by listing the best practices recommended by machine learning experts.

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Classify Images of IRIS Dataset and Hyperparameters

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever thought about how machines can tell whether a person has a disease or not by just analyzing their images? Have you heard of a recent revolutionary invention of FastTag, which significantly reduces the waiting time of vehicles in tool […]. The post Classify Images of IRIS Dataset and Hyperparameters appeared first on Analytics Vidhya.

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Re-Tooling Your Way to a More Efficient Enterprise

CIO Business Intelligence

To create a more efficient and streamlined enterprise, businesses often find themselves tempted to bring in brand new systems that promise major improvements over the status quo. This can be a viable strategy in some cases – and it will impress stakeholders that prefer to shake things up. But it comes at a cost. Swapping out the old for the new will require heavy doses of training to get everyone up to speed, and that’s just for starters.

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Safety and Security Tips To Know in the Era of Big Data

Smart Data Collective

Today, data has become more critical than it has ever been in the past. We have talked about the importance of investing in good data collection methodologies. There are a growing number of risks with big data. Some of them stem from security issues if data is compromised. There are also physical safety issues associated with using the hardware that big data depends on.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.