Sat.Nov 13, 2021 - Fri.Nov 19, 2021

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3 Differences Between Coding in Data Science and Machine Learning

KDnuggets

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.

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The Fundamentals of Exploratory Data Analysis

Analytics Vidhya

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 […].

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Dirty Data is Sabotaging Your EMR Efforts

Dataconomy

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.

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Why Is Data Consulting Essential For A New Business?

Smart Data Collective

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.

Big Data 140
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Where NLP is heading

KDnuggets

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.

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Build Face Recognition Attendance System using Python

Analytics Vidhya

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.

Python 399

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Major Trends Involving Artificial Intelligence in Retail

Smart Data Collective

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.

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10 AI Project Ideas in Computer Vision

KDnuggets

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.

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How to Deploy Machine Learning(ML) Model on Android

Analytics Vidhya

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.

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How Social Media Data Drives Market Trend Analysis

Dataconomy

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.

Analytics 203
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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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Use a Data Strategy to Make Your Startup Profitable

Smart Data Collective

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.

Big Data 130
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Inside recommendations: how a recommender system recommends

KDnuggets

We describe types of recommender systems, more specifically, algorithms and methods for content-based systems, collaborative filtering, and hybrid systems.

Algorithm 398
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Here’s How to use Sankey Diagrams for Data Visualization

Analytics Vidhya

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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The Tableau Exchange jumpstarts analysis with Accelerators

Tableau

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.

Tableau 116
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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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Ways To Secure IoT Devices from Cyber Attacks

Smart Data Collective

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.

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Easy Synthetic Data in Python with Faker

KDnuggets

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.

Python 399
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A Quick Tutorial on Clustering for Data Science Professionals

Analytics Vidhya

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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? Connecting Data to Practicality – The Process 166

FlowingData

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.

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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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Spotify Musicians Turn to Data Analytics to Boost their Careers

Smart Data Collective

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.

Analytics 128
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Stop Blaming Humans for Bias in AI

KDnuggets

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.

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Neural Network For Classification with Tensorflow

Analytics Vidhya

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.

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3-D modeling to define the french fry universe

FlowingData

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.

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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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Has Blockchain Made Cryptocurrency Baskets Worth Investing In?

Smart Data Collective

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.

Analytics 126
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Build a Serverless News Data Pipeline using ML on AWS Cloud

KDnuggets

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

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An Introduction to Chatbot Development using RASA

Analytics Vidhya

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 […].

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3 tips for finding analytics talent

Tableau

David Lou. Sr. Product Marketing Manager. Bronwen Boyd. November 18, 2021 - 5:30am. November 18, 2021. Data skills are in high demand. Jobs requiring digital skills, particularly data analytics and visualization, will grow by 10% in the next five years, jumping from 27% to 37%, according to a new IDC Salesforce Economy study. 1 While data itself does not guarantee success, how an organization uses and thinks about data can drive competitive advantage.

Analytics 107
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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 Applications for Corporate Text Analytics

Smart Data Collective

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.

Analytics 123
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Difference between distributed learning versus federated learning algorithms

KDnuggets

Want to know the difference between distributed and federated learning? Read this article to find out.

Algorithm 395
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Analytics Vidhya Presents INTERN-A-THON: Your First Step to Enter the Data Science World

Analytics Vidhya

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.

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Map of highway signs

FlowingData

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.

Database 114
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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.