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.
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.
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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.
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.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
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.
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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.
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.
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 […].
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.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
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.
KDnuggets
NOVEMBER 17, 2021
We describe types of recommender systems, more specifically, algorithms and methods for content-based systems, collaborative filtering, and hybrid systems.
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 […].
FlowingData
NOVEMBER 18, 2021
While still relatively rare, maternal mortality in the United States increased over the years. In most other developed countries, rates decreased over the same time period. From NYT Opinion: Over the past two decades, maternal mortality has increased almost 60 percent. The United States is the only other Group of 7 country besides Canada to experience such a drastic decline in maternal health.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
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.
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.
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.
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.
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.
Smart Data Collective
NOVEMBER 17, 2021
As a small business owner, you might think that data reporting and analytics don’t matter in your organization. You could be mistaken for thinking there’s too little data to report and analyze and that you can’t possibly have access to the powerful analytics tools that large businesses have. However, if you’re a small business owner looking to scale and grow, smart technology can revolutionize the way you view and understand your business.
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
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.
Tableau
NOVEMBER 17, 2021
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.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Smart Data Collective
NOVEMBER 18, 2021
Artificial intelligence has had a massive influence on the future of the manufacturing sector. Manufacturers spent over $1.1 billion on AI in 2020. That figure is likely to rise much higher in the near future. One of the biggest reasons manufacturers are investing in AI is that it has led to new advances in automation. We covered this briefly in our article about the role of AI in the evolution of robotics in manufacturing.
KDnuggets
NOVEMBER 18, 2021
This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.
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 […].
Tableau
NOVEMBER 15, 2021
Alex Novelli. Product Manager, Tableau. Bronwen Boyd. November 16, 2021 - 6:00am. November 16, 2021. Tableau Public provides a place for the global data community to develop data skills and, in turn, foster Data Culture. More than 2 million authors use the free platform to explore, create, and publicly share data visualizations—and grow their portfolios.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Smart Data Collective
NOVEMBER 17, 2021
Data analytics has become a crucial element of the financial industry. Financial institutions such as mutual funds and insurance companies are using big data to improve their operations. The market for financial analytics services is expected to be worth $14 billion by 2026. However, large financial organizations aren’t the only ones relying on big data technology.
KDnuggets
NOVEMBER 19, 2021
Want to know the difference between distributed and federated learning? Read this article to find out.
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.
Dataversity
NOVEMBER 17, 2021
With the recent Intergovernmental Panel on Climate Change (IPPC) report painting a worrying picture of our battle against climate change, we will explore five ways analytics can help turn the tide. The UN Secretary-General, Antonio Guterres, called the report “a code red for humanity,” adding that “the alarm bells are deafening and evidence irrefutable.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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