Wed.May 19, 2021

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Book Review: How School Really Matters (and how Analytics Wins Every Argument)

Andrew White

How School Really Matters, Douglas B. Downey, University of Chicago Press, 2020. The sub title of this book is “Why our assumptions about school and inequality is mostly wrong”. This tells you the real focus of the book and it’s a short (159 pages with appendix and notes), concise study looking at educational attainment but using data from outside school age, that leads one to pause and question the widely accepted positions.

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SMS Spam Detection Using LSTM – A Hands On Guide!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In today’s world, almost everyone is using a mobile. The post SMS Spam Detection Using LSTM – A Hands On Guide! appeared first on Analytics Vidhya.

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Factors Influencing the Cost of Developing an AI-Based Smart Home App

Smart Data Collective

Artificial intelligence is becoming a major focus of our lives. It is affecting some of the most intimate elements of our lives, such as our homes. As we stated before, AI has played a role in driving the direction of the smart home market. A growing number of people live in smart homes these days, which rely on complicated AI technology. As of 2021, connected home devices are used by approximately 12.5% of households in the United States.

IoT 102
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Feature Engineering – How to Detect and Remove Outliers (with Python Code)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In my previous article, I talk about the theoretical concepts. The post Feature Engineering – How to Detect and Remove Outliers (with Python Code) appeared first on Analytics Vidhya.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Procurement Report & Dashboard: Templates, Metrics, Tools

FineReport

Nowadays, more and more companies choose digital procurement as one of their long-term cost-saving strategies. The importance of procurement reports is becoming more and more prominent. Here, we introduce the definition and importance of purchase reports and provide templates and guidelines to inform you how to write an appropriate purchase report. What Is a Procurement Report?

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Stock Price Prediction and Forecasting using Stacked LSTM.

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Trying to predict how the securities exchange will work is. The post Stock Price Prediction and Forecasting using Stacked LSTM. appeared first on Analytics Vidhya.

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Build Interactive Models With R Shiny!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Everything is going to be connected to cloud and data… The post Build Interactive Models With R Shiny! appeared first on Analytics Vidhya.

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Knowledge Graphs for Open Science

Ontotext

The Open Science (or Open Scholarship) movement has been gaining momentum, especially since the European Commission has committed itself to ensuring open access to all funded research in April 2016. Expensive paywalls used by publishers, restrictive usage policies by scientific literature sources, a lack of consistency in the formatting and data locked away by proprietary software have all had detrimental effects on the dissemination of scientific knowledge.

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Mathematical Operations in Python with Numpy

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Numpy which stands for Numeric Python is a Python library. The post Mathematical Operations in Python with Numpy appeared first on Analytics Vidhya.

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Keys to Data Fluency: Shared Understanding

Juice Analytics

Building a Data Fluent organization requires getting everyone on the same page. This common understanding spans everything from cultural expectations to accessing and using data. Below I’ve outlined six areas where creating alignment will have long-term benefit…and where you can go to get started today. Photo by Nicole Baster via Unsplash. Shared Expectations Leaders need to define and communicate how they expect data to be used in the organization.

Metrics 59
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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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Boruta with R is a great way to address the “Curse of Dimensionality”.

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning is based on the idea that you receive. The post Boruta with R is a great way to address the “Curse of Dimensionality” appeared first on Analytics Vidhya.

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AI Experience Worldwide: Why Trust? Why Now?

DataRobot

I was deeply honored to be invited to speak at this year’s AI Experience Worldwide , especially since I got to address a topic that I believe in strongly: the need for trust in AI. I believe we’re at a crossroads, and as AI enters the mainstream, it is imperative that it upholds the public’s trust. We need to create responsible AI systems that are beneficial for everyone.

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Image Processing Using OpenCV – With Practical Examples

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Hello Readers!! OpenCV – Open Source Computer Vision. It is. The post Image Processing Using OpenCV – With Practical Examples appeared first on Analytics Vidhya.

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Hackaiku: When Dataiku Engineers Turn Into Data Hackers

Dataiku

For most people, spring means blooming flowers, longer days, warmer temps, barbecues, and picnic season opening. For Dataiku engineers, spring also means Hackaiku week, our annual internal hackathon! We held the third edition this year at the very beginning of May. Read through to understand how the event works and discover this year’s top three Hackaiku projects, as described by the engineers who worked on them.

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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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Power of Visualization and Getting Started with PowerBI

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Visualization is the human being’s vehicle to the future – good, The post Power of Visualization and Getting Started with PowerBI appeared first on Analytics Vidhya.

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Our Top 20 Most-Read Data & Analytics Research Last Week (to May 16)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Divya Radhakrishnan ‘s new note, 12 Actions to Improve Your Data Quality , re-entered the charts last week and went right into the number 1 spot! It was our most-read piece of research last week across data and analytics excluding branded research such as Magic Quadrants. “High-quality, trusted data is critical for successful digital business transformation.

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Document Layout Detection and OCR With Detectron2 !

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Objective To get the bounding boxes around the scanned documents with. The post Document Layout Detection and OCR With Detectron2 ! appeared first on Analytics Vidhya.

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Credit Agricole Leverages the Denodo Platform to Streamline Data Access

Data Virtualization

Credit Agricole is one of the world’s largest cooperative financial institutions, with operations in more than 50 countries and providing a diverse set of financial services including retail banking, cooperative banking, investment banking, private banking, wealth management, and asset management. The post Credit Agricole Leverages the Denodo Platform to Streamline Data Access appeared first on Data Virtualization blog.

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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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AUTOMATE YOUR IMAGE PROCESSING USING PYTHON

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction When you learn the nuances of a programming language, You. The post AUTOMATE YOUR IMAGE PROCESSING USING PYTHON appeared first on Analytics Vidhya.

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Top 5 DaaS Mistakes and How to Avoid Them — Part 3 of 5: Data Locality

Nutanix

In this blog post, we discuss the concept of data locality--what it is, why it’s important, and how to avoid mistakes regarding it as it relates to designing, and implementing your DaaS environment.

IT 22
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9 most useful functions for PySpark DataFrame

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Spark is a data analytics engine that is mainly used for. The post 9 most useful functions for PySpark DataFrame appeared first on Analytics Vidhya.

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NVIDIA RAPIDS in Cloudera Machine Learning

Cloudera

Introduction. In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. This year, we expanded our partnership with NVIDIA , enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI.

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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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Know The Best Evaluation Metrics for Your Regression Model !

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine Learning is a branch of Artificial Intelligence. It contains. The post Know The Best Evaluation Metrics for Your Regression Model ! appeared first on Analytics Vidhya.

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The Role of Business Intelligence in The Modern Commercial Organization

Smart Data Collective

Business likes specifics. If there are sales, the management needs to know exactly how much product was sold today, how much last month, how much more or less compared to last year. They need to ask important questions such as what is the turnover, how much was the profit and what are the cost dynamics. Such questions arise in any company. Smart companies know how to use big data to accomplish these goals.

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Data Analytics Contributes to the Abrupt Rise of Clean Energy Investment

Smart Data Collective

Big data technology has become a major disrupting factor in the energy industry. Many energy conglomerates have started embracing data analytics to expand their markets, respond to new trends, streamline operations and bolster efficiency. The clean energy sector has not been untouched by the big data revolution. As we stated before, it has led to a sudden surge in new renewable energy technology.