Based on our record, SaaS Landing Page should be more popular than Amazon Machine Learning. It has been mentiond 16 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.
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago
Scroll animations seem to be a growing trend lately, especially for landing pages for SaaS and modern tech startups. These animations are conceived to beautify the user experience, as long as they are wisely coded and not too intrusive for the final user. We've previously created tutorials on this topic, like the card waterfall animation on scroll or the gradient text reveal. Today we'll be adding another example... - Source: dev.to / 6 months ago
When used in the right way, animation effects can really help engaging users. It’s all about finding the right balance: too many visuals can overwhelm people, but the right amount can guide them towards taking action. Our curated gallery of landing page designs showcases many examples of cool animations. One of our favorites is BlackWallet. We’ve taken inspiration to their landing to create a cool stacking cards... - Source: dev.to / 7 months ago
Saas Landing Page: Specifically SAAS Focused inspiration. Definitely check it out. Source: 11 months ago
Check for some design inspiration and copy the best landing pages on SaaSPages and SaaS landing page. Source: about 1 year ago
Hey hey, you can check saaslandingpage.com and saasinterface.com. Source: over 1 year ago
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
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Apple Machine Learning Journal - A blog written by Apple engineers
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