Stop Blaming Humans for Bias in AI
KDnuggets
NOVEMBER 19, 2021
Can artificial intelligence be rid of bias? This is an important question, and it’s equally important that we look in the right place for the answer.
Sat.Nov 13, 2021 - Fri.Nov 19, 2021
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Here’s How to use Sankey Diagrams for Data Visualization
Analytics Vidhya
NOVEMBER 18, 2021
This article was published as a part of the Data Science Blogathon. Introduction to Sankey Diagram for Data Visualization Very often, we are in a situation where we would have to visualize how data flows between entities. For example, let’s take the case of how residents have migrated from one country to another within the […]. The post Here’s How to use Sankey Diagrams for Data Visualization appeared first on Analytics Vidhya.
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Dirty Data is Sabotaging Your EMR Efforts
Dataconomy
NOVEMBER 18, 2021
While Electronic Medical Records (EMR) have been touted for decades as the golden ticket to exceptional patient care, research, and collaboration, the systems that support EMR have fallen short in delivering on that promise. The problem lies not so much in the systems themselves but in the quality of data.
Why Is Data Consulting Essential For A New Business?
Smart Data Collective
NOVEMBER 17, 2021
More companies than ever are being driven by data. They use a number of important data analytics tools to help implement their functions more efficiently. Unfortunately, big data can be mysterious for many companies. Only 13% of companies with data strategies are meeting the objectives outlined in them. They need to know how to use it effectively to get the most value out of it.
What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
3 Differences Between Coding in Data Science and Machine Learning
KDnuggets
NOVEMBER 19, 2021
The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.
A Quick Tutorial on Clustering for Data Science Professionals
Analytics Vidhya
NOVEMBER 18, 2021
This is article was published as a part of the Data Science Blogathon. Welcome to this wide-ranging article on clustering in data science! There’s a lot to unpack so let’s dive straight in. In this article, we will be discussing what is clustering, why is clustering required, various applications of clustering, a brief about the […].
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Spotify Musicians Turn to Data Analytics to Boost their Careers
Smart Data Collective
NOVEMBER 17, 2021
Data analytics is becoming a crucial element of many business strategies. They have found that data analytics is a valuable component of marketing campaigns , financial planning objectives, human resource guidelines and much more. We have talked extensively about the types of industries that have been positively impacted by data analytics. Insurance, investing, logistics and digital marketing are among some of the professions most affected by big data.
Difference between distributed learning versus federated learning algorithms
KDnuggets
NOVEMBER 19, 2021
Want to know the difference between distributed and federated learning? Read this article to find out.
Build Face Recognition Attendance System using Python
Analytics Vidhya
NOVEMBER 15, 2021
This article was published as a part of the Data Science Blogathon Introduction In this article, you will learn how to build a face-recognition system using Python. Face recognition is a step further to face detection. In face detection, we only detect the location of the human face in an image but in face recognition, we […]. The post Build Face Recognition Attendance System using Python appeared first on Analytics Vidhya.
How Social Media Data Drives Market Trend Analysis
Dataconomy
NOVEMBER 18, 2021
Market trend analysis is an indispensable tool for companies these days. Social media gives analysts access to data that might otherwise be tough to collect. Rapidly changing business conditions require deep insight, and a market trend analysis report is a critical tool. Aside from future-proofing businesses, trend analysis reports also.
Agent Tooling: Connecting AI to Your Tools, Systems & Data
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Major Trends Involving Artificial Intelligence in Retail
Smart Data Collective
NOVEMBER 17, 2021
AI has become incredibly important for the retail sector. This is partly because the industry must take measures to avoid collapsing in the wake of new competition from online retailers. It is believed that the retail sector will irreversibly decline in the future. This is primarily due to the growing popularity of e-commerce. In the U.K., 85,000 jobs disappeared from the retail sector in the first quarter of 2018, and about 30,000 retailers reported financial difficulties.
Where NLP is heading
KDnuggets
NOVEMBER 18, 2021
Natural language processing research and applications are moving forward rapidly. Several trends have emerged on this progress, and point to a future of more exciting possibilities and interesting opportunities in the field.
The Fundamentals of Exploratory Data Analysis
Analytics Vidhya
NOVEMBER 15, 2021
This article was published as a part of the Data Science Blogathon Table of Contents Introduction About the Dataset Let’s Go 2D Scatter Plot 3D Scatter Plot Pair Plot Histogram Univariate Analysis using PDF CDF Mean, Variance, and Standard Deviation Median, Percentile, Quantile, IQR, MAD Box Plot Violin Plot Multivariate Probability Density Contour Plot Final Note […].
? Connecting Data to Practicality – The Process 166
FlowingData
NOVEMBER 18, 2021
Welcome to issue #166 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week my attention span is hanging on to dear life as we head towards Thanksgiving here in the U.S. I’m also thinking about the often missed next step to making the numbers more than just numbers.
How to Modernize Manufacturing Without Losing Control
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Use a Data Strategy to Make Your Startup Profitable
Smart Data Collective
NOVEMBER 18, 2021
Big data is no longer a luxury for businesses. It is a vital to any company that wants to succeed in all but the least competitive markets. In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation.
Inside recommendations: how a recommender system recommends
KDnuggets
NOVEMBER 17, 2021
We describe types of recommender systems, more specifically, algorithms and methods for content-based systems, collaborative filtering, and hybrid systems.
Neural Network For Classification with Tensorflow
Analytics Vidhya
NOVEMBER 13, 2021
This article was published as a part of the Data Science Blogathon In this article, I am going to build neural network models with TensorFlow to solve a classification problem. Let’s explore together that how we can approach a classification problem in Tensorflow. But firstly, I would like to make sure that we are able to […]. The post Neural Network For Classification with Tensorflow appeared first on Analytics Vidhya.
3-D modeling to define the french fry universe
FlowingData
NOVEMBER 19, 2021
What is the best french fry shape? Curly of course. But Chris Williams took it a step further and used 3-D models of various fried potato forms to find out. It’s all about the ratio between crispy exterior and fluffy interior. Tags: 3-d , Chris Williams , french fries.
Automation, Evolved: Your New Playbook for Smarter Knowledge Work
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Has Blockchain Made Cryptocurrency Baskets Worth Investing In?
Smart Data Collective
NOVEMBER 19, 2021
Blockchain technology has been a breakthrough technology that has had a huge impact on our lives. The average person doesn’t understand the significance of blockchain, but it is revolutionizing the financial sector. If you are familiar with bitcoin, you probably realize that it was founded on the blockchain network. Blockchain has since been used in countless other applications, such as IP authentication and fraud prevention in the financial sector.
10 AI Project Ideas in Computer Vision
KDnuggets
NOVEMBER 16, 2021
The field of computer vision has seen the development of very powerful applications leveraging machine learning. These projects will introduce you to these techniques and guide you to more advanced practice to gain a deeper appreciation for the sophistication now available.
How to Deploy Machine Learning(ML) Model on Android
Analytics Vidhya
NOVEMBER 17, 2021
This article was published as a part of the Data Science Blogathon Solving Machine learning Problems in a local system is only not the case but making it able to community to use is important otherwise the model is up to you only. When it is able to serve then you came to know the feedback and […]. The post How to Deploy Machine Learning(ML) Model on Android appeared first on Analytics Vidhya.
Map of highway signs
FlowingData
NOVEMBER 15, 2021
This is a fun map by Matt Dzugan. Search for a city, and see the segments of highway in the United States that are headed that way: I set up thousands of queries to Google Maps, asking for directions from Point A to Point B and parsed its responses, looking for the text toward , signs for __, and ramp to. This enabled me to build a database of all the segments of road that are listed as heading towards various cities.
The 2nd Generation of Innovation Management: A Survival Guide
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Ways To Secure IoT Devices from Cyber Attacks
Smart Data Collective
NOVEMBER 17, 2021
It’s safe to say that IoT devices have made our lives much easier and more convenient. This new technology has changed the way people conduct their work in the office, but also how they use gadgets at home. The fact that all smart devices in the office or at home can be connected makes life much easier. However, this also exposes those devices to cyber and hacker attacks.
Virtual Presentation Tips for Data Scientists
KDnuggets
NOVEMBER 16, 2021
Learn how to effectively communicate your work.
An Introduction to Chatbot Development using RASA
Analytics Vidhya
NOVEMBER 16, 2021
This article was published as a part of the Data Science Blogathon Introduction Do you ever wonder how Google assistant, Siri, chatbots in different websites work? The advancement in the field of Natural Language Processing paves the way to different very accurate AI assistants in various fields like medical, defense, management, etc. There are several AI […].
Census Mapper, a tool to visualize population and racial shifts
FlowingData
NOVEMBER 17, 2021
Pitch Interactive and the Census 2020 Data Co-op, supported by the Google News Initiative, made a tool that lets you easily map population shifts since 2010. It’s called Census Mapper. Built with journalists in mind, you can zoom in to the tract level and select any set of racial groups. The map updates. Once you’ve found what you’re looking for, you can embed the tool on a website.
How to Achieve High-Accuracy Results When Using LLMs
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
5 Applications for Corporate Text Analytics
Smart Data Collective
NOVEMBER 16, 2021
Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources. Text analysis can fulfill multiple roles in the business world.
Easy Synthetic Data in Python with Faker
KDnuggets
NOVEMBER 17, 2021
Faker is a Python library that generates fake data to supplement or take the place of real world data. See how it can be used for data science.
Analytics Vidhya Presents INTERN-A-THON: Your First Step to Enter the Data Science World
Analytics Vidhya
NOVEMBER 15, 2021
Internships, uh?!! Such a stunning word for one of the most difficult tasks. In every industry, there exists a disparity when it comes to internships opportunities and getting into one. Especially in this era where competition is at its peak and opportunities for freshers close to nil. With the data industry evolving and becoming more […]. The post Analytics Vidhya Presents INTERN-A-THON: Your First Step to Enter the Data Science World appeared first on Analytics Vidhya.
The Tableau Exchange jumpstarts analysis with Accelerators
Tableau
NOVEMBER 14, 2021
Pierce Young. Product Manager, Tableau. Bronwen Boyd. November 15, 2021 - 5:17am. November 15, 2021. The Extension Gallery that you know and love is now the Tableau Exchange and it has an even greater mission. The Tableau Exchange is your one-stop-shop for offerings to jumpstart your data analysis to answer questions and get actionable data quickly.
Apache Airflow® Best Practices: DAG Writing
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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