Analytics Vidhya

OCTOBER 25, 2021

This article was published as a part of the Data Science Blogathon Overview In this Comprehensive Guide, we are going to be covering the following topics and the end goal is to teach you how to make your own personal intelligent AI chatbot: NLP and its uses in speech interpretation. AI and its uses in […]. The post Complete Guide to build your AI Chatbot with NLP in Python appeared first on Analytics Vidhya.

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Python AI AI Data Science 383

Dataconomy

OCTOBER 29, 2021

Big data, specifically with the help of artificial intelligence (AI), empowers insurance companies to make better financial decisions. Data science can help mitigate fraudulent claims, enhance risk management, optimize customer support, and predict future events, among many other benefits. The result is higher profits for insurance companies and lower premiums.

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Data Science Artificial Intelligence Artificial Intelligence Big Data 238

Applied Data Science

OCTOBER 25, 2021

How I learned to stop worrying and love the field This blog covers all the core themes to starting your career in data science: ? Exploration vs Exploitation ? Getting a theoretical edge ? Building your professional portfolio ? Learning how to tell stories with data ❤️ Getting the pulse of the community The demand for data scientists has been steadily rising in the past decade, with industries like retail, medicine and finance claiming the lion’s share.

Data Science 130

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Smart Data Collective

OCTOBER 23, 2021

Satoshi Nakamoto introduced the world to bitcoin in 2008. Many people speculated that the virtual currency would never gain traction and become extinct. However, it has grown faster than even some of the staunchest supporters originally predicted. Advances in AI and machine learning technology have been important in setting the trend for bitcoin. It’s been over a decade since the cryptocurrencies were introduced to the world and since it has become increasingly popular.

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Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon This article was published as a part of the Data Science Blogathon Synopsis of Time Series Analysis A Time-Series represents a series of time-based orders. It would be Years, Months, Weeks, Days, Horus, Minutes, and Seconds A time series is an observation […]. The post A Comprehensive Guide to Time Series Analysis appeared first on Analytics Vidhya.

Data Science 387

Data Science Analytics Analytics Python 387

Dataconomy

OCTOBER 29, 2021

Artificial intelligence (AI) is transforming every sector and business function, resulting in a growing interest in it, its subcategories, and related areas such as machine learning and data science. While AI and automation might sound like the same concepts to many. But, in terms of procurement, both vary differently. Let’s.

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Smart Data Collective

OCTOBER 29, 2021

Artificial intelligence has become essential to modern marketing. Companies are finding newer, more creatives ways to integrate AI into their marketing strategies. This goes for both brand and performance marketing. AI can be useful in both online and offline marketing, but it tends to have greater efficacy in regards to online marketing strategies.

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AI AI Artificial Intelligence Artificial Intelligence 132

Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon Introduction Autoencoders are unstructured learning models that utilize the power of neural networks to perform the task of representation learning. In the context of machine learning, representation learning means embedding the components and features of original data in some low-dimensional structure for better […].

Machine Learning 361

Machine Learning Machine Learning Data Science Analytics 361

Tableau

OCTOBER 29, 2021

Jason Schumacher. Housing and Homelessness Lead at Tableau Foundation. Doug Minkler. Senior Manager of Product and Technology at Housing Connector. Kristin Adderson. October 29, 2021 - 9:45pm. October 30, 2021. Housing Connector was founded on a belief that no unit should sit vacant while there are individuals in need of a home. Housing Connector helps people like Chauncey Williamson , who spent more than two years applying to over 20 apartments, simply to be turned away each time because of a l

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Tableau 114

FlowingData

OCTOBER 28, 2021

Stacked area charts are a standard chart type that shows how a categorical distribution changes over time. There are packages that can do most of the work for you, but for a recent chart I found myself wanting more control over how the chart was drawn, which led me to drawing from scratch. Become a member for access to this — plus tutorials, courses, and guides.

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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?

Business Intelligence

Smart Data Collective

OCTOBER 23, 2021

Data science careers used to be extremely selective and only those with certain types of traditional credentials were ever considered. While some might suggest that this discouraged those with hands-on experience from ever breaking into the field, it did at least help some companies glean a bit of information about potential hires. Now, however, an increasingly large number of people breaking into the field of data sciences actually aren’t themselves scientists.

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Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. The main benefit of statistics is that information is presented in an easy-to-understand format. Data processing is […].

Data Science 357

Data Science Analytics Analytics 357

Tableau

OCTOBER 26, 2021

Lisa Ginther Huh. Senior IT Audience Expert, Tableau. Spencer Czapiewski. October 26, 2021 - 6:37pm. November 2, 2021. This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture.

Analytics 101

Analytics Analytics Tableau Data Governance 101

FlowingData

OCTOBER 28, 2021

Earth is getting warmer, and the previously abstract concept seems to grow more concrete every day. Probable Futures mapped increasing heat, decreasing cold, and shifting humidity under different warming scenarios. You have the global view shown above, and then when you zoom in enough, you can click on grid cells for the model estimates. Dots on the map point to a handful of short stories on how warming has changed daily life, which I feel like could use more attention.

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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.

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight.

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Analytics Analytics Data Warehouse Business Intelligence 118

Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon Overview In this article, we will be using OpenCV and dlib to extract faces from a given image and then we will try to mesh both the faces. In short, we will try to mesh the faces from two different images. We will […]. The post Face Mesh Application using OpenCV and dlib appeared first on Analytics Vidhya.

Data Science 371

Data Science Analytics Analytics Python 371

Tableau

OCTOBER 23, 2021

Courtney Jacobsen. Customer Solutions Product Manager. Kristin Adderson. October 23, 2021 - 2:10pm. November 4, 2021. More organizations realized the benefits of being data-driven in the last year—how it fuels business value such as improved performance, competitive advantage, increased productivity, as well as stronger employee retention and customer satisfaction.

Tableau 101

Tableau Data Scientist Analytics Analytics 101

FlowingData

OCTOBER 25, 2021

Mona Chalabi has a new podcast Am I Normal? and it’s very good: We all want to know if we’re normal—do I have enough friends? Should it take me this long to get over my ex? Should I move or stay where I am? Endlessly curious data journalist Mona Chalabi NEEDS to know, and she’s ready to dive into the numbers to get some answers. But studies and spreadsheets don’t tell the whole story, so she’s consulting experts, strangers, and even her mum to fill in the gaps.

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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.

Business Intelligence

Smart Data Collective

OCTOBER 25, 2021

Cloud Computing is the next big thing that is becoming popular all over the world, especially for the bigger Enterprises. People are now open the cloud computing options because they want to save the data for a longer term to make sure that they don’t lose data in case of any emergency. Cloud computing has been in the industry for more than two decades now, and it has been continuously providing competitive benefits to everybody in the industry.

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Cloud Computing Cloud Data 118

Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon What is the need for Hive? The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and […]. The post Introduction to Partitioned hive table and PySpark appeared first on Analytics Vidhya.

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Tableau

OCTOBER 29, 2021

Jason Schumacher. Housing and Homelessness Lead at Tableau Foundation. Doug Minkler. Senior Manager of Product and Technology at Housing Connector. Kristin Adderson. October 29, 2021 - 9:45pm. October 30, 2021. Editor's note: In August 2021, Tableau Foundation made a $550k grant to Housing Connector. This grant will go to supporting Housing Connector's ability to scale outside of the Puget Sound region in Washington state, and the technology that supports their staff's ability to help people fin

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Tableau 98

Dataversity

OCTOBER 29, 2021

Click to learn more about author Emilio Silvestri. To match the increasing number of organizations turning to cloud repositories and services to attain top levels of scalability, security, and performance, our company provides connectors to a variety of cloud service providers. We recently published an article about KNIME on AWS, for example. Continuing with our series […].

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AWS SQL Database Data Science 98

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Smart Data Collective

OCTOBER 24, 2021

Data security has become a vital topic of concern for consumers all over the world. Countless people have had to contend with the consequences of having their personal data exposed. Data breaches are most widely publicized when they occur at major corporations, such as Target. Unfortunately, these high profile cases take attention away from the need to invest in data security solutions at home.

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Analytics Vidhya

OCTOBER 27, 2021

This article was published as a part of the Data Science Blogathon A file is an essential data item stored in one’s computer. Each file can be characterized with its filename & file extension. Python programming language is capable of doing wonders and with time we see a lot of its applications in various domains. […]. The post Introduction to File Operations in Python appeared first on Analytics Vidhya.

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Python Data Science Analytics Analytics 340

Tableau

OCTOBER 27, 2021

Jason Schumacher. Housing and Homelessness Lead at Tableau Foundation. Kristin Adderson. October 28, 2021 - 1:12am. November 14, 2021. Editor’s Note: At Tableau Conference 2021, Tableau Foundation and the Seattle Seahawks were excited to announce a new collaboration with A Way Home Washington to expand the reach and visibility of A Way Home Washington’s work throughout the state.

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Dataversity

OCTOBER 25, 2021

Click to learn more about author Nahla Davies. It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to ensure quality Data Governance. Let’s break […].

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Data Governance Data Quality Data Silos Cloud Data 98

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.

FlowingData

OCTOBER 29, 2021

The IEEE VIS 2021 conference is running virtually this week, and there’s a lot of work that’s caught my eye but I haven’t had the chance to look through it all yet. One of those things is the alt.VIS workshop that lead into the conference. The papers included such topics as Towards a Theory of B t Visualization , Visualization for Villainy , and Manifesto for Putting Chartjunk in the Trash 2021!

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Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction The problem of missing value is quite common in many real-life datasets. Missing value can bias the results of the machine learning models and/or reduce the accuracy of the model. This article describes what is missing data, how it is represented, and […]. The post All You Need To Know About Different Types Of Missing Data Values And How To Handle It appeared first on Analytics Vidhya.

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Machine Learning Machine Learning Data Science Analytics 335

Tableau

OCTOBER 26, 2021

Lisa Ginther Huh. Senior IT Audience Expert, Tableau. Spencer Czapiewski. October 26, 2021 - 6:37pm. November 2, 2021. This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture.

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Analytics Analytics Tableau Data Governance 98

Dataversity

OCTOBER 25, 2021

Click to learn more about author Russ Ernst. The word “agile” is defined in one dictionary as “quick and well-coordinated in movement; lithe.” During the last two years, however, the word has taken on an entirely different meaning for companies navigating the complexities of a pandemic. As the realities of a highly contagious virus set in and hundreds of thousands […].

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Data Lakes 98

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.

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