
TOPBOTS
@topbots
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TOPBOTS is a strategy & research firm in applied artificial intelligence & machine learning. We help enterprises implement their #AI #ML #automation strategy.
New York, NY
Joined July 2016
Thrilled to share that the 2nd edition of "Applied AI: A Handbook for Business Leaders" is out now! 🚀 We've delved deeper into generative AI and LLMs, uncovering how these advances are reshaping the business world. 📚 #AppliedAI #GenerativeAI #LLM.
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🚀 Discover the power and potential of open-source projects in #GenerativeAI! Learn about key players like Hugging Face and Stability AI, immense benefits they offer, and corresponding safety risks.
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In this article, I want to briefly review the key open-source projects and discuss their potential as well as safety risks.
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Dive into the world of #DiffusionModels with our latest article! We've distilled the essence of 6 groundbreaking research papers, including Stable Diffusion, DALL-E 2, and ControlNet. #deeplearning #AIresearch #GenerativeAI .
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Here we summarize the most influential research papers that have revolutionized the field of image generation with diffusion models.
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Explore state-of-the-art NLP language models in our newest article, featuring BERT, GPT-3, LaMDA, PaLM, LLaMA, and GPT-4. Gain insights into their architecture, training methods, and applications in AI. #DeepLearning #NLP #AI #LLMs .
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Use this methodology (1) to find the best solution instead of executing the first idea that crosses your mind; (2) to minimize (and enable) the delivery time of complex research projects in data science. #Research #AI #ML #MachineLearning.
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Here's a step-by-step methodology to keep your research projects in data science focused. First, answer three main questions: Why, What, and How.
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When we do online experiments or A/B testing, we need to ensure our test has high statistical power so that we can find the experimental effect if it does exist. In this article, will walk you through several popular variance reduction methods. #ABTesting.
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In this article, I will walk through some of the popular variance reduction methods and demonstrate some simple examples in Python.
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Can we make GANs using Vision Transformers? In this article,.@DavideCoccomini investigates the creative side of Vision Transformers with two different model architectures: TransGAN and Paint Transformer. #ML #MachineLearning #AI #ComputerVIsion.
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Vision Transformers-based architectures are today one of the most promising approaches in computer vision. But if they are so great, wouldn’t it be worth using Vision Transformers to make GANs?
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What if you need to analyze an SQL database consisting of 500+ tables? Check this article to see how to build a tool in which you can apply various filters and then view the filtered tables in an easy-to-grasp visual representation. #AI #NetworkGraphs #ML.
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Here's how to build a Dash web application to visualize your database and explore its structure interactively.
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When combining multiple models into a group model, you get an ensemble model that usually performs better than each model alone. See this article for Python implementations of such popular ensemble methods as voting, bagging, boosting, and stacking. #AI.
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Ensemble learning is a technique used in machine learning to combine multiple models into a group model, in other words into an ensemble model.
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Survival analysis can be applied in medicine as patients’ survival time analysis, in engineering as reliability analysis or time-to-failure analysis, and in economics as duration analysis. Read this practical guide by Idil Izmiguzel. #AI #Python #ML.
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Survival analysis is a popular statistical method to investigate the expected duration of time until an event of interest occurs.
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The question we ask the A/B test is “which version is better?”. Except for the traditional Frequentist framework, Bayesian framework can also answer this question and is gaining more and more popularity in the online industries. #AI #ML #ABtesting.
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The question we ask the A/B test is “which version is better?”. Except for traditional Frequentist framework, Bayesian framework can also answer this question and is gaining more and more popularity...
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In this article, Itamar Faran gives a short overview of the statistical models behind Bayesian A/B tests, and presents the ways to implement them. #AI #MachineLearning #Bayesian #ML #ABtesting.
topbots.com
In this post, I give a short overview over the statistical models behind Bayesian A/B tests, and present the ways to implement them.
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Varshita Sher shares a few tips for writing cleaner code in Python. Including these tips as part of your everyday coding routine will help you generate supreme quality Python scripts, that are easily maintainable and scalable over time. #ML #Python #AI.
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Here are a few tips and tricks I use for writing clean Python code as a data scientist. Read on to generate supreme quality Python scripts, that are easily maintainable and scalable over time.
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Follow this tutorial by Varshita Sher to build a facial identification system that will verify if an image, generally known as a probe image, exists within a pre-existing database of faces, generally known as the evaluation set. #ML #FaceRecognition #AI.
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In this tutorial, we are building a face recognition system that will verify if an image, generally known as probe image, exists within a pre-existing database of faces, generally known as the...
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Vision Transformers can achieve better results than other methods. @DavideCoccomini shows that realising self-supervised approaches for Vision Transformers may be a possible way to making these models not only powerful but also easier to apply. #ML #AI.
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Self-Supervised Learning is an innovative unsupervised approach that is enjoying great success and is now considered by many to be the future of Machine Learning.
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Are you interested to know how AI is applied to count penguins from space? Or prevent substance abuse, predict pandemics, analyze people's mental health? @MatthewPStewart introduces the reader to the nascent research field of AI for Social Good. #AI4SG #AI.
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The article introduced the “AI for Social Good” research field along with some of the novel applications that aim to tackle important social, environmental, and public health challenges.
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In this tutorial, Florent Poux features some of the top approaches to 3D point cloud segmentation:.âś… RANSAC or RANdom SAmple Consensus.âś… Euclidean Clustering through DBSCAN or Density-Based Spatial Clustering of Applications w/ Noise.@GeoVast3D .#AI #ML.
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A complete python tutorial to automate point cloud segmentation and 3D shape detection using multi-order RANSAC and unsupervised clustering (DBSCAN).
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Isn’t there a way to get the best out of both Convolutional Neural Networks and Vision Transformers? @DavideCoccomini shows how these two architectures can be combined to obtain something capable of exploiting the positive sides of both!.#ML #Transformers.
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Lucky for us, CNNs and VIsion Transformers can be combined in many different ways to exploit the positive sides of both!
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