Sat.Aug 21, 2021 - Fri.Aug 27, 2021

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Python Tutorial: Working with CSV file for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Intro: In this article, I will walk you. The post Python Tutorial: Working with CSV file for Data Science appeared first on Analytics Vidhya.

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10 AI Tech Trends You Really Need To Know About

Dataconomy

AI tech trends are driving humanity forward. Digital transformation has reached every industrial sector, and AI is achieving things that scientists have only dreamed about. Now, AI and ML technology is being used in several real-world applications that consumers come into contact with on a daily basis. While some dystopian.

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? Visualization Tools and Learning Resources, August 2021

FlowingData

Welcome to issue #154 of The Process, the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and every month I collect visualization tools and learning resources that help you make better charts. Here’s the good stuff for August. Become a member for access to this — plus tutorials, courses, and guides.

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5 Advanced Identity Theft Protection Tips in the Big Data Era

Smart Data Collective

There are a lot of great things about living in an era governed by big data. Big data creates a lot of new opportunities in business and our personal lives. However, there are also downsides to the sudden influx of data in the 21st Century. One major concern is that big data has made identity theft risks more significant. Addressing the Risk of Identity Theft in a World Increasingly Dependent on Big Data.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Gradient Descent: Design Your First Machine Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch. Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network. Training data helps the model learn […].

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How vectorization is helping identify UFOs, UAPs, and whether aliens are responsible

Dataconomy

If there’s one topic that has captured the public’s attention consistently over the decades, it is this: have aliens visited Earth, and have we caught them in the act on camera?

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4 Steps to Delete Yourself from the Internet for Data Privacy

Smart Data Collective

Data privacy is a growing concern for people all over the world. Many people have become cynical about data privacy. Sixty-two percent of people told Pew Research that they don’t think it is possible to go through life without companies collecting their personal data and 63% said the same about the government collecting their data. However, most people still express their desire to prevent them from doing so.

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Must know Pandas Functions for Machine Learning Journey

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Do you wish you could perform this function using Pandas. Well, there is a good possibility you can! For data scientists who use Python as their primary programming language, the Pandas package is a must-have data analysis tool. The Pandas package has everything […].

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Data Natives 2022: Back in Berlin, in-person, and as big as ever!

Dataconomy

Data Natives is back! Europe’s biggest data science and AI event will take place in Berlin, for real and in person, because online conferences are so 2020. Mark your diaries – we’ll be bringing you the best speakers, networking events, hackathons, open forums, and more between March 10 to 24, 2022.

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Best of Tableau Web: August 2021

Tableau

Andy Cotgreave. Technical Evangelist Director, Tableau. Kristin Adderson. August 23, 2021 - 11:30pm. September 4, 2021. I imagine you’re familiar with this line of questioning: ”How satisfied are you with XYZ?” and “How likely are you to recommend XYZ to others?” or “How much do you agree or disagree with the following statements?”. Here these questions are rhetorical, but you’ve likely all seen and responded to similar survey questions as you’ve traversed the web.

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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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Artificial Intelligence for eCommerce: A Closer Look

Smart Data Collective

Artificial intelligence is one of the fastest-growing technologies. It grew 270% in just four years since more companies started noticing its benefits and adopted this technology. eCommerce businesses are no exception. Over 50 percent of them use AI for various purposes, like creating personalized services and automation. This article will share the basic concept of AI, including its definition, types, and current trends.

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Beginners guide to k-Means Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Clustering The very first clustering algorithm that most people get exposed to is k-Means clustering. This is probably because it is very simple to understand, however, it has several disadvantages which I will mention later. Clustering is generally viewed as an unsupervised […].

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Machine learning explained at five difficulty levels

FlowingData

For their 5 Levels series, Wired brought in Hilary Mason to explain machine learning at five levels of difficulty. Mason’s explanations are super helpful at every level. Tags: Hilary Mason , machine learning , Wired.

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Introducing the new Tableau platform, reimagined for the enterprise

Tableau

Loreal Lynch. Vice President, Product Marketing. Bronwen Boyd. August 24, 2021 - 2:19am. September 2, 2021. As more businesses accelerate digital transformation initiatives, leaders are gaining a better understanding of the value of data, and want to scale analytics across their organization. However, on the road to becoming a data-driven organization, choosing an enterprise platform often presents leaders with compromises: Strong governance or agile, self-service?

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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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Can Predictive Analytics Identify Future Crypto Profitability?

Smart Data Collective

Cryptocurrencies are undoubtedly the rave of the moment. There are stories all over the internet about how crypto made someone a millionaire overnight. However, the crypto market experienced a significant downtrend recently with prices plummeting as low as 30% from peak prices in a matter of days. This has raised questions about the future of cryptocurrency investments.

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Granger Causality in Time Series – Explained using Chicken and Egg problem

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.

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Inflation isn’t that exciting

FlowingData

For NYT Opinion, Josh Bivens and Stuart A. Thompson argue that you don’t need to panic about inflation : It may surprise many Americans that even during times of strong growth and very low inflation (like the late 1990s) or weak growth and low inflation (like the years following the Great Recession), more than half of all goods and services are usually experiencing price increases.

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Now available in Tableau 2021.3—Data management updates, Slack notifications, personal space, and more

Tableau

Emily Chen. Associate Product Marketing Manager, Tableau. Spencer Czapiewski. August 24, 2021 - 8:08pm. September 8, 2021. The newest release of Tableau is here! Tableau 2021.3 includes the latest capabilities to bring efficiency to your workflows and organization at scale. Upgrade now to take advantage of these new innovations and bring the full power of the Tableau Platform across your business.

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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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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. Nor do you have to reach out to the newspaper to find out what the weather is going to be like throughout the day. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips.

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Caching in Python: the LRU algorithm

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction To use LRU caching in Python, you just need to add two lines – import and declaration of the @lru_cache decorator. We show with examples how and why to use it. Caching is one approach that, if used correctly, significantly speeds up work […]. The post Caching in Python: the LRU algorithm appeared first on Analytics Vidhya.

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Diversity within the Asian population

FlowingData

Robert Gebeloff, Denise Lu and Miriam Jordan for The New York Times looked at overall increases and variation within the Asian population : North Dakota, South Dakota, Texas, North Carolina and Indiana are among states that experienced major growth in the past decade. And people of Asian descent have been settling in ever larger numbers in states like West Virginia, where the overall population has declined.

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Time Series Analysis with Components

Dataversity

Click to learn more about co-author Maarit Widmann. Click to learn more about co-author Daniele Tonini. Click to learn more about co-author Corey Weisinger. Time Series Forecasting is often neglected says Professor Daniele Tonini: “Considering the plethora of articles, applications, web tutorials and challenges on the data science subject that we’re seeing in the last […].

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Using Analytics To Decide Which Cryptocurrency To Invest In

Smart Data Collective

Analytics technology has helped improve financial management considerably. It is important to know how to use data analytics to improve your budget, cut costs and make sound investment decisions. One way to use analytics is to invest in cryptocurrencies more wisely. You can find some great ways to identify trends in the cryptocurrency industry. However, you can also identify the best digital currencies to invest in.

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Churn Prediction- Commercial use of Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Churn prediction is probably one of the most important applications of data science in the commercial sector. The thing which makes it popular is that its effects are more tangible to comprehend and it plays a major factor in the overall profits earned […]. The post Churn Prediction- Commercial use of Data Science appeared first on Analytics Vidhya.

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Bias in AI

DataRobot

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process. In each of these categories is a set of dimensions of trust.

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Big Data at 10: Did Bigger Mean Better?

Dataversity

Click to learn more about author Mathias Golombek. If this time 10 years ago you were working in data and analytics, something was about to happen that would go on to dominate a large part of your professional life. I’m talking about the emergence of “big data.” I recently read that the origins of the concept […]. The post Big Data at 10: Did Bigger Mean Better?

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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5 Things You Didn’t Know About FDA Data-Driven Software Validation

Smart Data Collective

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. One example is with software validation. Big data has been instrumental in the software development process. A number of software developers are using data analytics and machine learning technology to improve the quality of their products and expedite the development of their applications.

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Create Stock Exchange Dashboard using Dash in Python!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Dash is an open-source web framework for creating analytical dashboards and data visualizations. It helps data analysts to deploy dashboards and serve these dashboards to the main web application. Dash constitutes of three technologies: 1. Plotly.js- It is used for creating beautiful charts […].

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Now available in Tableau 2021.3—Data management updates, Slack notifications, personal space, and more

Tableau

Emily Chen. Associate Product Marketing Manager, Tableau. Spencer Czapiewski. August 24, 2021 - 8:08pm. September 8, 2021. The newest release of Tableau is here! Tableau 2021.3 includes the latest capabilities to bring efficiency to your workflows and organization at scale. Upgrade now to take advantage of these new innovations and bring the full power of the Tableau Platform across your business.

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How Augmented Analytics Will Change the Analytics and BI Workflow

Dataversity

Click to learn more about author Kaycee Lai. As analyst and journalist Bernard Marr put it, “Without data scientists on staff or available to interpret data and turn the intel into solid business activity, the benefits of data could remain unlocked.” Augmented analytics promises to improve the ability of organizations to derive benefits from data by: Taking more […].

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.