This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Using pandas read the two data sources: Image by the author: custom_master.csv Image by the author: client_profile.csv Basic Data Cleaning and Manual Mapping When dealing with large datasets, every factor that might affect the accuracy of mapping needs to be considered.
After spending a career spinning up supply chains on three continents, Liteboxer CEO Jeff Morin authored a guide for Extra Crunch for hardware founders. Alex Wilhelm and Anna Heim wrapped up TechCrunch’s coverage of the summer cohort from Y Combinator’s Demo Day with an evaluation of how the group fared in comparison to their expectations.
Actually, the process is based on three decades of research conducted by authors Chan Kim and Renée Mauborgne. Before their book was published in 2005, the authors “studied over 150 strategic moves spanning more than 30 industries over 100 years.” The authors use Cirque du Soleil to illustrate this idea.
In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.
The comparison with a clinicodemographic baseline is useful because risk for some diseases could also be assessed using a simple questionnaire , and we seek to understand if the model interpreting images is doing better. due to the multiple comparisons problem ). This pixel count is under 0.1 Effect of input image resolution.
release includes features that speed up and streamline your data preparation and analysis. Select which dimensions and measures to focus the analysis on, and choose the desired story type. The augmented experience generates automated narratives in seconds, replacing manual reporting and speeding up analysis. Bronwen Boyd.
release includes features that speed up and streamline your data preparation and analysis. Select which dimensions and measures to focus the analysis on, and choose the desired story type. The augmented experience generates automated narratives in seconds, replacing manual reporting and speeding up analysis. Bronwen Boyd.
First, let’s take a look at some of this geospatial data: Two non-intersecting features (image by author) Let’s say that we want to run a query to determine if these two shapes are intersecting. image by author) As you can see, the spatial index approach offered much improved performance over the vanilla intersection method.
In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.
“We found that part of Apple’s mainland China political censorship bleeds into both Hong Kong and Taiwan,” write the report’s authors. CitizenLab’s analysis looked specifically at engraving requests for AirTags and iPads, but the only differences it noted in restrictions between the products were related to keyword length and lowercase words.
This post breaks down how GyrusAim LMS stands out in the crowded market of 21 CFR Part 11-compliant LMS platforms, offering essential features that life sciences companies require, along with a comparison to other popular LMS providers.
Perhaps authority, trust, and vision are core to this organization’s self-perception and the brand they’ve established. Analysis with a psycholinguistic lens can reveal if those attributes are supported or undermined by the language used on the page.
When communicating with data, viewing a chart instead of a table of numbers can help us very quickly understand our data, make comparisons, see patterns or trends, and use that information to make better decisions. Two separate graphs vertically aligned allows the reader to make accurate comparisons between Fatalities and Miles per capita.
He works with best-selling authors, the world’s biggest entrepreneurs and Fortune 500 companies. The thought was that I may as well get 95 percent of the sale (minus transaction fees) through indies, since Amazon was only paying out around 70 percent to authors. Both have great customer service for authors.
According to John Medina, author of Brain Rules , we retain 10% of its information three days after reading text. We knew the value of the website wasnt providing the number, but providing the interpretation, in the analysis, of that number. Why is data visualization so effective? Thats a big jump. Is that number good?
He co-authored a paper called " Visual Diagnostics and Mapping for Scaling Change " and we had an opportunity to discuss it. He agreed to write a four-part primer on a visual diagnostics, mapping, and social networking analysis primer and how nonprofits might use these tools for social change.
Different users can view the same table, viz, or report and see only data they are authorized to see. Get a jump-start on your analysis with Tableau Accelerators, now part of the Tableau Exchange. Today, you’ll find more than 70 new industry-specific Accelerators to give you a valuable starting point for your analysis.
Different users can view the same table, viz, or report and see only data they are authorized to see. Get a jump-start on your analysis with Tableau Accelerators, now part of the Tableau Exchange. Today, you’ll find more than 70 new industry-specific Accelerators to give you a valuable starting point for your analysis.
In comparison to creating effective and data-driven distribution funnels to get your app out to millions, software is cheap. Fueled * is currently a member of audience.io , an audience development studio founded by the author. . Design & Dev Entrepreneur Social Media Analysis and Opinion Investigations' Linus Pauling.
Note from Beth: In a report entitled Information for Impact: Liberating Nonprofit Sector Data, authors Beth Novek and Daniel Goroff address the challenges of obtaining better, more usable data on the nonprofit sector to match the field’s growing importance. Every year in the United States approximately 1.5
My hope is that this analysis can increase awareness about data science mistakes and raise the standards for machine learning in research. For example, last year I shared an analysis of a project by Harvard and Google researchers that contained fundamental errors. For comparison, a random forest model achieves 2.38 Conclusion.
Laura Quinn is the founder of Idealware, which offers a consumer reports like analysis and comparison of nonprofit software. Allison Fine , author of the book Momentum, writes about social activism in the nonprofit sector and the implications on the ground and at the big picture level. is the author of the popular Museum 2.0
Screenshot by Author. Here’s a comparison between reading the data without and with thepyarrow backend, using the Hacker News dataset, which is around 650 MB (License CC BY-NC-SA 4.0 ): [link] As you can see, using the new backend makes reading the data nearly 35x faster. Now that’s what I call “commitment to the community”!
projects in the nonprofit sector, compiled and authored by Keisha Taylor. This index aims to go beyond economic measurement to also measure access to food, shelter, education, health care, economic opportunity, and environmental stability in conjunction, and in comparison, with GDP. of GuideStar International and TechSoup Global.
What types of comparisons are made in the interpretation? Data Visualization expert and author Kathy Rowell says that we should always ask “Compared to What?” Charts help us make informed comparisons that lead to good decisions. It’s important to consider the context of the chart and understand the comparisons made.
Each type dictates a different process and therefore requires different measurement and analysis methods. You should also review how you’ve traditionally done the work or solicited the input or encouraged the action in the past and note what worked and what didn’t work previously to use as a comparison to crowdsourced efforts.
Trust in other sectors – like government, business, and media — continues to decline, leaving nonprofits the most trusted sector in this survey,” the authors wrote. This is data from new polling released today by Independent Sector in Washington, D.C.
” price comparison/service switching websites which monetize consumer advice in other, less up-front ways — such as ads, affiliate links and/or taking a commission direct from vendors — asserting they can’t therefore claim to be entirely impartial or always working solely in the consumer’s interest. .
Scanning for Ethical Products : With online shopping, we’ve become accustomed to reading reviews and making comparisons before we buy. This might include where it was produced, how far it traveled, the reputation of the manufacturer, chemical contents, carbon footprint, or the full lifecycle analysis.
When communicating with data, viewing a chart instead of a table of numbers can help us very quickly understand our data, make comparisons, see patterns or trends, and use that information to make better decisions. Was the author(s) paid to collect, analyze, and present the data? What types of data does the author(s) present?
Higher volumes of organic traffic signify your website’s visibility and authority around relevant topics and keywords. Appearing prominently in organic search helps establish authority and expertise. Look at week-over-week and month-over-month comparisons. Builds credibility and establishes the nonprofit as an authority.
Judi Sohn has a comparison of the two approaches. Judi finishes her analysis with the big picture, noting the downside is cost: Think of all the tools out there with open APIs that we???re Michelle Murrain, NTEN board member and NOSI leader - and author of Nonprofit API white paper has insightful analysis.
Image by the author. Image by the author. For example, in this research paper , the authors measured the memory usage of HNSW with 1 billion points to be 490 GB, while NSG is 303 GB, but on the recall and query performance side HNSW only slightly dominates NSG. Image by the author. Image by the author.
Kaushik suggested these metrics for benchmarking blogs: Raw Author Contribution (posts & words in post). Authority??? So, here's a comparison between last year and this year and another opportunity to consider improvements. Raw Author Contribution (posts & words in post). Authority??? Technorati ???Authority???
Definition: An analysis that looks at the benefits, costs, and value of a technology project over time. Financial calculations: net gain, opportunity cost, or comparison to other method. ROI analysis requires documenting, collecting data, and internal discussion and cooperation. Task Analysis. Times Sheet Analysis.
ORC partition files (Image by author) Comparing this to Parquet, each Parquet partition file is around 26.8 Writing data as Delta Lake (Image by author) The _delta_log folder in the Delta Lake file format plays a critical role in how Delta Lake manages and maintains data integrity and versioning. In the ten_million_orc2.orc
Criteria for Selection Explanation of the criteria used to evaluate an ELMS: Factors considered in the selection process: Features and Functionalities: Range of tools like content authoring, learner management, assessments, social learning, mobile compatibility, and analytics. Gyrus Source 1.Overview with 100 users per year. respectively.
Every additional measure you track uses up precious staff time for collection, aggregation, and analysis. As funder pressure on social sector organizations to get better at measurement has increased, whole industries have sprung up with pre-developed surveys and data sets from comparison groups. About the Author.
Criteria for Selection Explanation of the criteria used to evaluate an ELMS: Factors considered in the selection process: Features and Functionalities: Range of tools like content authoring, learner management, assessments, social learning, mobile compatibility, and analytics. with 100 users per year.
Criteria for Selection Explanation of the criteria used to evaluate an ELMS: Factors considered in the selection process: Features and Functionalities: Range of tools like content authoring, learner management, assessments, social learning, mobile compatibility, and analytics. with 100 users per year.
The study’s author, Matthias Lufkens , says that the most successful organisations are those that use Twitter to make connections and tell stories, not just broadcast news. One recent project is a real-time analysis and data visualization of the post2015 conversation on Twitter. There are many labs working on projects.
Analysis and synthesis tasks, like crafting new documents or emails from a few sentences of guidance, or partnering with people to jointly write software together. Performance comparison between the PaLM 540B parameter model and the prior state-of-the-art (SOTA) on 58 tasks from the Big-bench suite. All kinds of tasks.
Published on April 10, 2025 11:10 PM GMT Authors: Eli Lifland, [1] Nikola Jurkovic, [2] FutureSearch [3] This is supporting research for AI 2027. Analysis of their data shows that AIs are roughly 5x faster on average. Human baselines which allow for grounded comparisons between AI and human performance. 4] Nikola: 1.2 [0.5,
The authors successfully improve robustness against a wide range of adversarial attacks. Wed also be keen to see comparisons with supervised finetuning, RLHF, and adversarial training where appropriate. Sheshadri et al. refer to this family of techniques as latent adversarial training or LAT. Guan et al. Karvonen et al. Hnni et al.
We organize all of the trending information in your field so you don't have to. Join 12,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content