Mon.Jul 25, 2022

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Artificial Intelligence on Data Labelling

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Nowadays, it appears like everyone is working on artificial intelligence, but nobody ever discusses one of the most crucial components of every artificial intelligence project: Data labelling. The people who are undertaking this time-consuming, boring task without the flare that usually encircles […].

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5 Vital Business Intelligence Tips All Companies Should Embrace

Smart Data Collective

Business intelligence is an integral part of any business strategy. It helps to turn your data or objectives into something meaningful. Business intelligence software can integrate information and present it in dashboards, reports, or graphs. Sixty-four percent of BI users have felt it was very helpful. It is also essential for a business to have a bi consultant who helps the business enhance its data strategy and processes.

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Building a Brain Tumor Classifier using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning has paved its roots much more decisively in our daily lives. As a society, we experience miniature lifestyle changes, such as self-driving cars, Google Assistant, Netflix recommendations, spam email detection, and many more. Similarly, deep learning has also evolved in […].

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Practical Deep Learning from fast.ai is Back!

KDnuggets

Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Know All About Smart Contracts!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most professional and personal life elements are governed by contracts and agreements, which are crucial to the smooth operation of contemporary society. Smart Contracts are significant since they contribute to the organisation and safety of the transactions going place.

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Does the Random Forest Algorithm Need Normalization?

KDnuggets

Normalization is a good technique to use when your data consists of being scaled and your choice of machine learning algorithm does not have the ability to make assumptions on the distribution of your data.

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Top Posts July 18-24: Free Python Automation Course

KDnuggets

Free Python Automation Course • Machine Learning Algorithms Explained in Less Than 1 Minute Each • Parallel Processing Large File in Python • 12 Most Challenging Data Science Interview Questions • Decision Tree Algorithm, Explained.

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Introduction to Apache Sqoop

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Sqoop is a big data engine for transferring data between Hadoop and relational database servers. Sqoop transfers data from RDBMS (Relational Database Management System) such as MySQL and Oracle to HDFS (Hadoop Distributed File System). Big Data Sqoop can also be […].

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5 Reasons SoD Protocols Are Vital to Modern Data Security

Smart Data Collective

Data breaches are becoming far more common these days. Security Magazine reports that over 22 billion records were exposed in the over 4,000 publicly disclosed data breaches last year. The actual number is likely higher, since many data breaches are never reported. We have talked extensively about the importance of taking precautions to prevent data breaches.

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Data Representation in Neural Networks- Tensor

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A deep learning task typically entails analyzing an image, text, or table of data (cross-sectional and time-series) to produce a number, label, additional text, additional images, or a mix of these. Simple examples include: Identifying a dog or cat in a picture. […].

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Data tokenization: A new way of data masking

CIO Business Intelligence

While researchers examined the pandemic in relation to how companies managed to keep afloat in such an unprecedented situation, auditors assessed the increased data vulnerability, lack of data compliance, and costs incurred by such events. As businesses were forced to adapt new styles of working and adapt technologies, they struggled to meet security compliance standards like the General Data Protection Regulation (GDPR) and lagged in responding to data breaches.

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Getting Started with Data Pipeline

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction These days companies seem to seek ways to integrate data from multiple sources to earn a competitive advantage over other businesses. The needs and requirements of a company determine what happens to data, and those actions can range from extraction or loading tasks […].

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The cyber security challenges in fintech and neobanking’s rise

CIO Business Intelligence

The 2020s is set to see a rapid growth of fintech and neobanking offerings in Australia. Unquestionably, there are many positives to this trend, but there will also be an increase in cybersecurity challenges to accompany it. While accelerated collaboration and sandboxing between traditional businesses and fintechs will drive innovation and competitive advantage, the start-up culture that underwrites this progress will prioritise growth and enhance capabilities over cybersecurity.

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Understanding Distributed Ledger Technology

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A ledger is an accounting record that lists debits and credits for the categorized and condensed data from the journals. Another name for it is the second book of entries. The information needed to create financial statements is included in the ledger. […]. The post Understanding Distributed Ledger Technology appeared first on Analytics Vidhya.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Ressources limitées : pourquoi le secteur technologique canadien est en manque de talents

CIO Business Intelligence

La pandémie a provoqué de brusques et irréversibles changements dans les modes, habitudes et lieux de travail – entraînant une demande proportionnelle de nouveaux postes et compétences. Bien entendu, la technologie est toujours au cœur du changement, notamment dans les domaines du numérique, de la cybersécurité et de l’analyse des données. Selon un rapport de KPMG publié en août 2021, 68 % des entreprises canadiennes ont eu du mal à recruter des talents technologiques suffisamment qualifiés pour

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YOLO: An Ultimate Solution to Object Detection and Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Computer Vision Is one of the leading fields of Artificial Intelligence that enables computers and systems to extract useful information from digital photos, movies, and other visual inputs. It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […].

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Being the Best Digital Bank is Not Enough

Teradata

For many, banking is now a digital activity. But the financial services industry still trails many others in leveraging cloud technologies to build deeper, emotional attachments to their customers.

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The Bayes Theorem and Football

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Suppose you are at a company for a job interview, and your friend has gone in for the interview before you. You estimate your chances of selection to be low, but when you hear from your friend that the interview was pretty […]. The post The Bayes Theorem and Football appeared first on Analytics Vidhya.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Using Scikit-learn’s Imputer

KDnuggets

Learn about Scikit-learn’s SimpleImputer, IterativeImputer, KNNImputer, and machine learning pipelines.

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Machine Learning Paradigms with Example

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Let’s have a simple overview of what Machine Learning is. Machine Learning is the method of teaching computer programs to do a specific task accurately (essentially a prediction) by training a predictive model using various statistical algorithms leveraging data. Source: [link] For […].

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Top Data Preparation Software Features in Dataiku

Dataiku

Analysts spend the majority of their time on data preparation tasks, and it’s often the most tedious part of analysis. Whether you’re in the camp that loves data prep or would prefer to never have to cleanse another dataset again, Dataiku’s data preparation software features were designed to make data prep more efficient (and more bearable). Here are some of the most loved features within the platform.

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The Evolution of NLP from 1950 to 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Let’s first understand what Natural Language Processing is. Natural Language Processing (NLP) is basically how you can teach machines to understand human languages and extract meaning from text. Language as a structured medium of communication is what separates us human beings from […].

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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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Small & Medium Businesses Need Tally ERP Mobile Analytics!

Smarten

3 Ways Integrated Tally Mobile Augmented Analytics Can Help Small and Medium Businesses ! As a Tally ® ERP user, your business already knows the value of this solution. The Tally solution provides businesses with tools to manage all critical aspects of your business, including accounting, sales and purchase, inventory, manufacturing, taxation, payroll, MIS reporting, etc.

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Introducing AOS 6.5 - HCI Will Never Be the Same

Nutanix

Performance, data services, and cyber-resilience for business-critical apps and databases

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District Medical Group transforms its approach to data management

CIO Business Intelligence

When Kevin Rhode took the role of CIO of Arizona-based District Medical Group (DMG) in May 2020, he faced his share of challenges. Not only was it the outset of the COVID-19 pandemic, but the nonprofit integrated medical group practice had just purchased five primary care clinics that had to be integrated into the existing organization. DMG consists of a 450-bed acute care hospital, three inpatient behavioral health centers, an outpatient specialty center, 11 family health centers, an emergency

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Data fabric marketplace: The heart of data economy

IBM Big Data Hub

In older civilizations, where transportation and communication were primitive, the marketplace was where people came to buy and sell products. This was the only way to know what was on offer and who needed it. Modern-day enterprises face a similar situation regarding data assets. On one side there is a need for data. Businesses ask: “Do we have this kind of data in the enterprise?

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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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A Joint Venture Revolutionizes Construction Logistics

CIO Business Intelligence

Construction logistics have traditionally been complicated, intensive, and error-prone and, until recently, there was little indication that this was going to change. Ordering can be maddening, delivery points are often overloaded, and larger construction companies average 150,000 receipts annually. Processing those receipts has long been a challenge in itself.