KDnuggets
SEPTEMBER 20, 2022
When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That's where these additional performance evaluations come into play to help tease out more meaning from your model.
Analytics Vidhya
SEPTEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research. Its characteristics distinguish it from traditional electronic medical and human health data […].
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Smart Data Collective
SEPTEMBER 19, 2022
Big data has led to many important breakthroughs in the Fintech sector. The industry is growing at a remarkable rate due to this new technology. Positive customer experience sits atop the most valuable things critical to the longevity of any business. It helps build brand reputation, enhances a company’s visibility, and encourages customer loyalty, which translates to increased revenues.
Eugene Yan
SEPTEMBER 22, 2022
Invited keynote at the Workshop for Online Recommender Systems and User Modeling (ORSUM)
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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
SEPTEMBER 22, 2022
Are you ready to learn Excel from the beginning? In this course, you will learn data entry, essential formulas, data visualization, pivot tables, and much more.
Analytics Vidhya
SEPTEMBER 22, 2022
Introduction Data science is the study of data to gain important business insights. It combines concepts and methods from the domains of mathematics, statistics, AI, and computer engineering. We at Analytics Vidhya believe in Knowledge sharing, and that’s why we Organize DataHour Sessions every day so that you can Brush up on your Data Science […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
SEPTEMBER 21, 2022
There are a number of amazing AI companies. You may want to create an equally successful one. However, you won’t be able to do this without the best experts at your side. There are a lot of factors that you have to take into consideration when hiring a company to help you develop AI applications. There is a huge lack of qualified AI developers, as a recent report from ZDNet recently showed.
KDnuggets
SEPTEMBER 19, 2022
This scholarship program aims to help people who are underserved and that were underrepresented during high school and college - to then help them learn the foundations and concepts of Machine Learning and build a careers in AI and ML.
Analytics Vidhya
SEPTEMBER 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will train a classification model which uses the feature extraction + classification principle, i.e., firstly, we extract relevant features from an image and then use these feature vectors in machine learning classifiers to perform the final classification.
Dataversity
SEPTEMBER 19, 2022
In my last DATAVERSITY article, “The Machine Economy Is Here – The Digital Transformation Era Is Over,” I discussed the end of digital transformation, the arrival of the machine economy, and the emergence of data empowerment. In this article, I follow up by laying out the problems with traditional Data Management and why data empowerment is now […].
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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
SEPTEMBER 22, 2022
Artificial intelligence technology is changing the state of the manufacturing sector. Global manufacturers are projected to spend $9.89 Billion on AI technology by 2027. There are countless benefits of investing in AI as a manufacturer. However, this is also going to lead to some major changes that might be a bane for many workers. The good news is that there are still ways for workers to thrive in this field.
KDnuggets
SEPTEMBER 22, 2022
Dimensionality reduction techniques are basically a part of the data pre-processing step, performed before training the model.
Analytics Vidhya
SEPTEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction Artificial neurons are utilized in deep neural networks for object detection. These artificial neurons are similar to humans composed of neurons. Thus, object detection refers to the detection and localization of objects in an image that belongs to a predefined set of […].
FlowingData
SEPTEMBER 23, 2022
I heard you like spiral charts when the data is seasonal. I think that’s what Kevin Schaul and Hamza Shaban, for The Washington Post, had in mind when they charted housing demand through the lens of percentage of houses sold within two weeks. Tags: housing , Washington Post.
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.
Dataversity
SEPTEMBER 22, 2022
Enterprise data storage professionals are increasingly finding themselves at the center of business discussions: finding important files, showing departmental usage, recalling files from archives for an audit or new research, moving distinct data sets into the cloud to import into a new analytics environment, and deleting data to satisfy regulations.
KDnuggets
SEPTEMBER 21, 2022
I have chosen to go through how to build a text-to-speech converter in Python, not only is it simple, but it is also fun and interactive. I will show you two ways you can do it with Python.
Analytics Vidhya
SEPTEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction As everyone knows, natural language processing is one of the most competitive and hot fields in today’s global tech sector. Candidates with good Natural Language Processing skills are sought after by all the large corporations and growing start-ups. Natural language processing is […].
FlowingData
SEPTEMBER 19, 2022
Annie Fu, Walt Hickey, and Shayanne Gal, for Insider, show the disproportionately aging government officials with a series of straightforward charts with lines moving up. You expect age across most occupations to increase with life expectancy, but this seems a bit much. See also the aging distribution over time. Tags: age , government , Insider.
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
SEPTEMBER 19, 2022
Machine learning technology has become invaluable in many facets of the IT sector. A study by Markets and Markets shows that the market for machine learning technology is growing over 44% a year. One of the biggest factors driving the demand for machine learning technology is a growing need for cybersecurity solutions. Cyberattacks are becoming more common each year.
KDnuggets
SEPTEMBER 20, 2022
In this article, we will discuss how to calculate algorithm efficiency, focusing on two main ways to measure it and providing an overview of the calculation process.
Analytics Vidhya
SEPTEMBER 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction AWS named the service after a standard quantum notation called Braket, created in the late 1930s by Paul Dirac, a famous theoretical physicist. The Braket is a fully managed AWS service that provides a primarily technology-agnostic environment. Customers can design, develop, test, and […].
FlowingData
SEPTEMBER 22, 2022
In a collaborative effort with UX agency Kore, Moritz Stefaner describes work with World Health Organization to develop a data design language for their evolving data collections : Deliberately designed as a toolbox, rather than a “rule book”, the Data Design Language includes not only principles and guidelines, but also a corresponding design vocabulary and repertoire — for instance, downloadable styles for color and typography, exemplary chart designs, as well as clear specifications for achie
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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
SEPTEMBER 21, 2022
Are you launching a new AI startup? You will discover that there are a number of opportunities and challenges of creating a company that develops new AI algorithms to solve problems. The demand for AI technology has surged in recent years. One analysis indicates that 90% of companies have made investments in AI and 37% actively deploy it. AI startups have a burgeoning market that they can serve.
KDnuggets
SEPTEMBER 21, 2022
7 Machine Learning Portfolio Projects to Boost the Resume • Free SQL and Database Course • Top 5 Bookmarks Every Data Analyst Should Have • 7 Steps to Mastering Python for Data Science • 5 Concepts You Should Know About Gradient Descent and Cost Function.
Analytics Vidhya
SEPTEMBER 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction With the rise of meal delivery services, everyone can now enjoy their favorite restaurant food from the comfort of their own home. Giant food aggregators and food shipping companies like Zomato have made it feasible. Zomato is one of India’s most extensively […].
FlowingData
SEPTEMBER 21, 2022
A reliable dense fog in San Francisco is a defining characteristic of the city, to the delight of some and less delight to others, but the pattern of fog could be on its way out as the climate changes. Scott Reinhard, for The New York Times, visualized the flow of fog and what sucks it into the bay. That intro image is something. Tags: climate , fog , New York Times , San Francisco.
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.
DeepMind
SEPTEMBER 21, 2022
In our latest paper, we introduce Sparrow – a dialogue agent that’s useful and reduces the risk of unsafe and inappropriate answers. Our agent is designed to talk with a user, answer questions, and search the internet using Google when it’s helpful to look up evidence to inform its responses.
KDnuggets
SEPTEMBER 20, 2022
How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Free Python for Data Science Course • 5 Data Science Skills That Pay & 5 That Don't • 7 Data Analytics Interview Questions & Answers • 5 Tricky SQL Queries Solved.
Analytics Vidhya
SEPTEMBER 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Principal Component Analysis, or PCA, is a dimensionality-reduction method frequently used to reduce the dimensionality of big data sets by reducing a large collection of variables into a smaller set that retains the majority of the information in the large set. Reduced […].
FlowingData
SEPTEMBER 21, 2022
Drew Harwell, for The Washington Post, reporting on a growing database and who has access to the records : The rapid expansion of the database and the ability of 2,700 CBP officers to access it without a warrant — two details not previously known about the database — have raised alarms in Congress about what use the government has made of the information, much of which is captured from people not suspected of any crime.
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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