Sat.Aug 08, 2020 - Fri.Aug 14, 2020

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10 Powerful YouTube Channels for Data Science Aspirants!

Analytics Vidhya

Overview The path to spread data science has been blazed by people determined to make the world a better place Here is a list. The post 10 Powerful YouTube Channels for Data Science Aspirants! appeared first on Analytics Vidhya.

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Customer Retention Dashboard & Metrics Examples For Modern Companies

datapine

Companies, organizations, enterprises, large, or small businesses – no matter in which category you belong to, you need to pay close attention to your customers. A customer retention dashboard and metrics depicted in a neat visual will help you in monitoring, analyzing, and managing multiple customer-centric points and how they echo in your business.

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Enterprise Architecture: Secrets to Success

erwin

For enterprise architecture, success is often contingent on having clearly defined business goals. This is especially true in modern enterprise architecture, where value-adding initiatives are favoured over strictly “foundational,” “keeping the lights on,” type duties. But what does enterprise architecture success look like? Enterprise architecture is central to managing change and addressing key issues facing organizations.

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Teradata Vantage: Born for Cloud Before Cloud Was Born

Teradata

Teradata Workload Management enables Vantage to be fully optimized for cloud & hybrid deployments & to efficiently deliver the lowest cost for enterprise analytics.

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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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Building Sales Prediction Web Application using Machine Learning Dataset

Analytics Vidhya

Introduction There are a lot of resources on the internet about finding insights and training models on machine learning datasets however very few articles. The post Building Sales Prediction Web Application using Machine Learning Dataset appeared first on Analytics Vidhya.

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Will AI Make My Kids Stupid?

Dataiku

If you have kids, and if they are of the age where they have a phone, a tablet, a computer, or a video game console (or possibly all four of them), you may be — as a parent — scared. Like, very scared. Heck, even if you don’t have children, you might be scared by the idea of AI-dependent kids on the loose.

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The Future Tax Function

Jet Global

The growth in demand for corporate tax technologists, taxologists, or even taxnologists, has long been predicted. But mounting evidence from the education and recruitment sectors suggests that the future career path for tax professionals is already here. Multiple drivers are accelerating a transformation of tax teams’ roles and responsibilities, paving the way for innovative technology that reduces manual processes and boosts analytical capabilities.

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Here’s All you Need to Know About Encoding Categorical Data (with Python code)

Analytics Vidhya

Overview Understand what is Categorical Data Encoding Learn different encoding techniques and when to use them Introduction The performance of a machine learning. The post Here’s All you Need to Know About Encoding Categorical Data (with Python code) appeared first on Analytics Vidhya.

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Step Up Your Marketing Attribution With Game Theory

Dataiku

Find out where your best leads come from. It’s no secret that marketing today relies heavily on data analytics and data science. Endless applications have been wildly studied and successfully applied in this regard, ranging from customer segmentation and targeting to building recommender systems and predicting churn. In this blogpost, we are going to address yet another interesting application of data science in marketing, which is marketing attribution.

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Reporting System: Everything You Need to Know

FineReport

When mentioning the reporting, folders loaded with spreadsheets, graphs, and commentaries may ring a bell. With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. Many enterprises are eager to build a reporting system to solve the problems of report generation and management.

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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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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 14: Strategic priorities for Sales leaders through the crisis

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 14: Strategic priorities for Sales leaders through the crisis. Listening time: 14 minutes. Strategic priorities for Sales leaders through the crisis. Through the crisis and after, companies that bank on sales to bring in the desired revenue that will drive growth, also need to focus on making sure that their salespeople are doing things right.

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Image Augmentation on the fly using Keras ImageDataGenerator!

Analytics Vidhya

Overview Understand image augmentation Learn Image Augmentation using Keras ImageDataGenerator Introduction When working with deep learning models, I have often found myself in. The post Image Augmentation on the fly using Keras ImageDataGenerator! appeared first on Analytics Vidhya.

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Digital Transformation in the Office of the CFO: Predictions for 2020 and Beyond

Jet Global

With everything going on in the world, the only consistency is change. People, and the businesses they work with, are adapting more rapidly now than ever before. Digital transformation has the power to radically overhaul every aspect of an organization’s operations. Naturally, that includes the finance department. But because of the company-wide impact of a financial transformation, the office of the CFO plays a unique role in driving the transformation beyond its own territory.

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How Dataiku Sandboxes Java to Avoid Heaps of Garbage

Dataiku

For those who do not know Dataiku DSS, it is a collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver data products more efficiently.

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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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Building a Scalable Data Strategy with IPTOP: Infrastructure, People, Tools, Organization, and Processes

DataCamp

Scaling a data strategy successfully is no small feat. Follow our methodology to lay a strong data foundation and scale an enterprise data program.

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How to Extract tabular data from PDF document using Camelot in Python

Analytics Vidhya

Introduction PDF or Portable Document File format is one of the most common file formats in today’s time. It is widely used across every. The post How to Extract tabular data from PDF document using Camelot in Python appeared first on Analytics Vidhya.

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Creating my First Deep Learning + Data Science Workstation

MLWhiz

Creating my workstation has been a dream for me, if nothing else. I knew the process involved, yet I somehow never got to it. It might have been time or money. Mostly Money. But this time I just had to do it. I was just fed up with setting up a server on AWS for any small personal project and fiddling with all the installations. Or I had to work on Google Collab notebooks, which have a lot of limitations on running times and network connections.

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The Nuts and Bolts of Deep Learning Algorithms for Object Detection

Dataiku

You just got a new drone and you want it to be super smart! Maybe it should detect whether workers are properly wearing their helmets or how big the cracks on a factory rooftop are.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Lessons in Data Storytelling, …or Finding a Bunny Fit isn't a Bit Funny (for Some People)

Juice Analytics

This weekend I went down a rabbit hole with my 9 year-old daughter. Almost literally. She’s been dying to adopt a bunny, and I was able to (temporarily) redirected that energy into building a Juicebox bunny adoption data story. The project was a fun father-daughter learning experience that, upon reflection, was chocked full of lessons for data translators of any age.

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How to Reduce Computational Constraints using Momentum Contrast V2(Moco-v2) in PyTorch

Analytics Vidhya

Introduction The SimCLR paper explains how this framework benefits from larger models and larger batch sizes and can produce results comparable to those of. The post How to Reduce Computational Constraints using Momentum Contrast V2(Moco-v2) in PyTorch appeared first on Analytics Vidhya.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to Aug 9)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Rita Sallam did it again! Her recent note ( Top 10 Trends in Data and Analytics, 2020 ) remained at “number 1” last week and was our most-read piece of research across data and analytics, excluding branded research such as Magic Quadrants. This is clearly a popular note!

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Arithmetic Properties of Word Embeddings

Dataiku

The fact that we can analyze the use of words in language to deduce their meaning is a fundamental idea of distributional semantics called the “distributional hypothesis”. This is the inspiration behind many algorithms for learning numerical representations of words (also called word embeddings). An important aspect of these representations is the ability to solve word analogies of the form “A is to B what C is to X” using simple arithmetic.

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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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5 Essential Business-Oriented Critical Thinking Skills For Data Scientists

MLWhiz

As Alexander Pope said, to err is human. By that metric, who is more human than us data scientists? We devise wrong hypotheses constantly and then spend time working on them just to find out how wrong we were. When looking at mistakes from an experiment, a data scientist needs to be critical, always on the lookout for something that others may have missed.

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Bias and Variance in Machine Learning – A Fantastic Guide for Beginners!

Analytics Vidhya

Overview Learn to interpret Bias and Variance in a given model. What is the difference between Bias and Variance? How to achieve Bias and. The post Bias and Variance in Machine Learning – A Fantastic Guide for Beginners! appeared first on Analytics Vidhya.

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Chief Data Analytics Officers – The Key to Data-Driven Success?

Teradata

Banks were among the pioneers of the new role of Chief Data Officer in the early 21st century, yet the role remains hard to define and under-utilized. Learn more.

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Nutanix Clusters | Hybrid Cloud Infrastructure for Multicloud era

Nutanix

Nutanix Clusters enables seamless application migration and unified operations across Clouds to help businesses accelerate their Cloud journey in a Hybrid and Multicloud Era

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Prep Your Website for Peak Seasonal Demand (Part 2)

CDW Research Hub

It is never too early to start planning for the holiday season but starting now—in the summer—will put you on track for ensuring customer satisfaction and holiday success. Maximize holiday results, reduce risk and lower everyone’s stress levels by involving your technical team and other key business stakeholders and partners within your overall digital ecosystem early on in your holiday planning.

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Information Retrieval using word2vec based Vector Space Model

Analytics Vidhya

Overview Learn about Information Retrieval (IR), Vector Space Models (VSM), and Mean Average Precision (MAP) Create a project on Information Retrieval using word2vec based. The post Information Retrieval using word2vec based Vector Space Model appeared first on Analytics Vidhya.

Modeling 312
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Answers in the Cloud, No Matter Where Your Data Is

Teradata

Vantage on Azure provides enterprise-grade real-time business intelligence through a comprehensive solution that combines analytics, data lakes, & data warehouse technologies.

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5 Tips for Implementing Rolling Forecasts

Jedox

In our last post, “ Rolling Forecasts: The Pros and Cons ,” we looked at why rolling forecasts are used, when it makes sense to use them, and for whom. In our third and last post in this series, we give five tips for a successful implementation of rolling forecasts in your organization’s FP&A processes. . If you’re confident rolling forecasts would be a useful tool to add to your organization’s existing FP&A toolbox, it is worth considering our 5 tips for introduc

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.