Sat.Apr 24, 2021 - Fri.Apr 30, 2021

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Top 8 Hidden Python Packages For Machine Learning in 2021

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Python is one of the most loved languages in. The post Top 8 Hidden Python Packages For Machine Learning in 2021 appeared first on Analytics Vidhya.

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DataOps Enables Your Data Fabric

DataKitchen

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Forrester relates that out of 25,000 reports published by the firm last year, the report on data fabrics and DataOps ranked in the top ten for downloads in 2020. Gartner included data fabrics in their top ten trends for data and analytics in 2019.

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Trending Sources

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Data Professionals are Dissatisfied with their Company’s Use of Analytics

Business Over Broadway

I recently reached out to data professionals on LinkedIn to ask a series of questions about their work. Results from one of those polls revealed that data professionals are generally dissatisfied with their company’s use of analytics in helping it gain a competitive advantage; nearly 6 in 10 data professionals said they were dissatisfied with their company’s use of analytics (22% extremely dissatisfied).

Analytics 139
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The Incredible Impact of Blockchain Technology on the Economy

Smart Data Collective

The crypto market is booming once again. After a 2-year long bear market, prices are skyrocketing far and wide, with Bitcoin leading the charge. In November, Investopedia reported that prices of bitcoin rose 111% and they seem to be increasing even further. Bitcoin has tripled in value since it raced past its previous all-time high of $20.000. This has pushed investors, retail and institutional, into a buying frenzy.

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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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Estimation of Neurons and Forward Propagation in Neural Net

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In the previous article, we looked at what are. The post Estimation of Neurons and Forward Propagation in Neural Net appeared first on Analytics Vidhya.

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The Future of Data Science – Mining GTC 2021 for Trends

Domino Data Lab

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. I enjoyed mining this year’s talks for trends that foreshadow where our industry is headed. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand.

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4 Industries Benefiting from Data-Driven Mobile App Development

Smart Data Collective

As technology continues to evolve, industry leaders are paving the way by using new and emerging capabilities to their advantage. For instance, mobile app development has been an important feature of the last decade. As users demand more intuitive apps and mobile friendly websites from goods and services providers, how are key industries benefiting?

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Google Earth Engine Machine Learning for Land Cover Classification (with Code)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introducing Earth Engine and Remote Sensing Earth Engine, also referred. The post Google Earth Engine Machine Learning for Land Cover Classification (with Code) appeared first on Analytics Vidhya.

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Keys to Data Fluency: New Decision-Making Behaviors

Juice Analytics

How do you know that your organization is becoming more data fluent? You’ll see new behaviors such as the language people use, the things they focus on, and the way meetings are run. Data analysis and key performance measures are elevated from after-thought to starting-point. Here are five behaviors that you should start to expect from your team as your data fluency matures: Everyone Knows the Key Metrics — and Debates Them Data fluent organizations have a common understanding of how progress is

Metrics 122
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A Guide to DataOps Tests

DataKitchen

The post A Guide to DataOps Tests first appeared on DataKitchen.

Testing 130
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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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Preparing for The Most Common Data Science Job Interview Questions

Smart Data Collective

The importance of data in the modern world is hard to overstate. Advancements in AI, machine learning, and platforms such as Google Analytics now mean that masses of data are compiled by businesses on a global scale each day. With big data becoming pivotal in the construction sector and other top industries using data to connect better with customers, information really is crucial to the global economy now.

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Automating Machine Learning tasks using EvalML Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In today’s AI-driven world, Machine Learning plays a vital role. The post Automating Machine Learning tasks using EvalML Library appeared first on Analytics Vidhya.

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The Importance Of Artificial Intelligence In Financial Services

bridgei2i

Enterprise AI Companies and How They’re Changing The Entire Landscape. Using artificial intelligence in business processes permits the digitization of core financial processes. It would help in meeting the customers’ needs and allow them to stay ahead in the competition. In recent times, it has been seen that the finance and banking sector is quickly adopting artificial intelligence.

Finance 105
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What is Reporting? Meaning & Examples

FineReport

At work, we often hear others talking about reports. But what does reporting mean exactly? There are multiple types of reporting. Can you clearly tell the difference? In this article, I would like to introduce what reporting is and give you some examples to clarify the key concepts. What is Reporting? Reports use tables, charts, and other widgets to display data.

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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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3 Huge Reasons that Data Integrity is Absolutely Essential

Smart Data Collective

Everyone knows about the importance of data security. However, your data integrity practices are just as vital. But what exactly is data integrity? How can data integrity be damaged? And why does data integrity matter? In this post, we will run you through the key things you need to know about these fundamental questions about the integrity of your data.

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Train Machine Learning Models Using CPU Multi Cores

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview introduction reduce execution time dataset reading dataset handling categorical. The post Train Machine Learning Models Using CPU Multi Cores appeared first on Analytics Vidhya.

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The Shift toward Intelligent Automation

DataRobot

As organizations start getting back to normal after the COVID-19 pandemic, AI and machine learning is top of mind for many of these leaders. How to adopt AI and machine learning into business processes is a critical goal to improve process efficiency and scale to handle the increased demand for AI and machine learning for years to come. One topic that is of interest in this space is the term intelligent automation.

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#ClouderaLife Spotlight: Suzy Tonini, Talent Researcher

Cloudera

As we continue to work toward diversity, equality, and inclusion in every aspect of our company culture and beyond, we’ve learned so much from our employees’ unique perspectives on allyship. One such employee is Suzy Tonini, a Talent Researcher with a globe-trotting childhood. Growing up with parents who worked for the U.S. State Department, Suzy had the opportunity to hop from country to country with her family, experiencing a variety of cultures. .

IT 98
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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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How to Write Marketing Reports? Structure & Samples

FineReport

There is an old saying in the marketing industry: “I know that half of the advertising costs are wasted, but I don’t know which half is wasted.” Today’s marketers still face this problem. Marketing costs are high, it is difficult to divide customers accurately and efficient marketing, wasting a lot of workforce, money, and customer resources.

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Speed Up Text Pre Processing Using TextHero Python Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Natural Language Processing, typically abbreviated as NLP, The post Speed Up Text Pre Processing Using TextHero Python Library appeared first on Analytics Vidhya.

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How to Reduce Sensitive Data Exposure for Your Enterprise

Smart Data Collective

Businesses cannot risk putting data security aside. With hackers and identity thieves using more advanced methods, it’s crucial for any enterprise to adopt new tools in keeping sensitive data from falling into the wrong hands and preventing cases of fraud. In fact, there is no better time than now for you to invest in beefing up your defenses.

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Converting HBase ACLs to Ranger policies

Cloudera

CDP is using Apache Ranger for data security management. If you wish to utilize Ranger to have a centralized security administration, HBase ACLs need to be migrated to policies. This can be done via the Ranger webUI, accessible from Cloudera Manager. But first, let’s take a quick overview of HBase method for access control. HBase Authorization. If authorization is set up ( for example with Kerberos and setting the hbase.security.authorization property to true ), users can have rules defined on r

Finance 95
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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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How to Organize Your PowerPoint Slides by Adding Sections

Depict Data Studio

Want to organize your PowerPoint slides a little better? There’s a behind-the-scenes trick that I love using in my own presentations: Sections! In March 2021, I was speaking with GEDIs about dataviz tricks for presentations. (The GEDI program is the Graduate Education Diversity Internship within the American Evaluation Association.). I was scrolling through my slides, and someone asked how I created these “sections” to organize my content.

IT 94
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Track Your Fitness With Python: Analyzing Google Fit Data

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Data is everywhere. Nowadays, every device with some logical system. The post Track Your Fitness With Python: Analyzing Google Fit Data appeared first on Analytics Vidhya.

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Big Data Is Rapidly Changing How We Look at Economics

Smart Data Collective

Big data has evolved from a technology buzzword into a real-world solution that helps companies and governments analyze data, extract the meaningful statistics, and apply it into their specific business needs. It’s not so much the realization that this information is collected, but what can be effectively done with it. There is a use for big data in pretty much everything we do, with the economic forecasts proving to be no different.

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Making Customer Experience Your Competitive Advantage

Teradata

Customers expect organizations to know them, provide relevant & personalized experiences, and be good stewards of their data. Yet many businesses still struggle with this. Why?

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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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The New Releases of Apache NiFi in Public Cloud and Private Cloud

Cloudera

Cloudera released a lot of things around Apache NiFi recently! We just released Cloudera Flow Management (CFM) 2.1.1 that provides Apache NiFi on top of Cloudera Data Platform (CDP) 7.1.6. This major release provides the latest and greatest of Apache NiFi as it includes Apache NiFi 1.13.2 and additional improvements, bug fixes, components, etc. Cloudera also released CDP 7.2.9 on all three major cloud platforms, and it also brings Flow Management on DataHub with Apache NiFi 1.13.2 and more.

Metrics 76
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Mixed-effect Regression for Hierarchical Modeling (Part 1)

Analytics Vidhya

ArticleVideo Book Hierarchical Modelling Hierarchical modeling also referred to as a nested model, deals with data with the observations in a certain group. There. The post Mixed-effect Regression for Hierarchical Modeling (Part 1) appeared first on Analytics Vidhya.

Modeling 322
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How AI Is Going to Drastically Change the Future of the Automotive Sector

Smart Data Collective

Artificial intelligence has had a dramatic impact on the efficiencies of daily human tasks as well as complex intellectual tasks that require substantial human intelligence. AI is taking over the automotive industry as well, handling the reins in every department ranging from designing and manufacturing cars to car maintenance, safety, and AI-enabled cockpits.

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A Review of Data Storytelling Solutions

Juice Analytics

If you are in the data or analytics industry, it is worth getting to know Ted Cuzzillo. He’s been following our industry since 2007, was covering Tableau as an industry analyst before anyone else, and wrote for esteemed publications TDWI and Information Management. He knows the analytics landscape. And he’s always looking for what’s next. His new venture, DataDoodle , is explicit in where he has set his sights: he is exploring nascent trends and vendors in the area of smarter cities and data nar

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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.