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Based on our record, Statista should be more popular than Deep playground. It has been mentiond 98 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
As of 2025, Statista.com projects a staggering 4.6 billion email users, highlighting the enduring power of email marketing. This blog is your guide to understanding and mastering email list building. Explore its significance, learn best practices, and glean actionable insights from real successes. Source: 6 months ago
I can't speak for everyone here, but I doubt that most people are spending $79 USD/mo for a statista.com subscription. Source: 11 months ago
The proof that the data doesn't exist? Go to statista.com and look for "bumble height" or any other search term you think is needed to find that chart. Then reflect on how nothing on the chart is how a scientific outlet would do a chart, and especially not Statista. This is done by an amateur who has no idea about designing charts that meet any scientific standard. Source: 11 months ago
Outside of 2019/20 (COVID), revenue has been rising steadily. (statista.com). Source: 12 months ago
For those who aren't aware, FedEx Ground is made up of independent contractors. FedEx Express is the original FedEx. Yes, by nature of the business, if you ship something FedEx ground it takes longer, and the longer it takes and the more hands that handle a package the more chance there is for loss, damage, or delay. If you ship something through FedEx Express you generally get things much faster and have a better... Source: about 1 year ago
Not the parent, but NNs typically work better when you can't linearize your data. For classification, that means a space in which hyperplanes separate classes, and for regression a space in which a linear approximation is good. For example, take the circle dataset here: https://playground.tensorflow.org That doesn't look immediately linearly separable, but since it is 2D we have the insight that parameterizing by... - Source: Hacker News / 3 months ago
For visualisation and some fun: http://playground.tensorflow.org/. - Source: dev.to / 5 months ago
Https://seeing-theory.brown.edu/ https://www.3blue1brown.com/ https://playground.tensorflow.org/. - Source: Hacker News / 9 months ago
There’s an interactive neural network you can train here, which can give some intuition on wider vs larger networks: https://mlu-explain.github.io/neural-networks/ See also here: http://playground.tensorflow.org/. - Source: Hacker News / 11 months ago
This site is worth playing around with to get a feel for neural networks, and somewhat about ML in general. There are lots of strategies for statistical learning, and neural nets are only one of them, but they essentially always boil down into figuring out how to build a “classifier”, to try to classify data points into whatever category they best belong in. Source: 12 months ago
datarobot - Become an AI-Driven Enterprise with Automated Machine Learning
Neuronify - An educational neural network app.
Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.
Netron - Open-source visualizer for neural network, deep learning and machine learning models.
Statwing - Simply upload your spreadsheet or dataset, then select the relationships you want to explore. Statwing was built by and for analysts, so you can clean data, explore relationships, and create charts in minutes instead of hours.
GoldSim - GoldSim is the premier Monte Carlo simulation software solution for dynamically modeling complex systems in business, engineering and science.