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Recently, Google announced new Cloud TPU Virtual Machines (VMs), which provide direct access to TPU host machines. With these VMs, the company offers a new and improved user experience to develop and deploy TensorFlow, PyTorch, and JAX on Cloud TPUs. By Steef-Jan Wiggers
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https://huyenchip.com/ml-interviews-book/
I have just skimmed part of the book but it looks very good and contains lots of insight from a recruiter point of view that I would never know otherwise and is applicable to more than just ML interview IMO. W ...
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Researchers at Google Brain announced a deep-learning computer vision (CV) model containing two billion parameters. The model was trained on three billion images and achieved 90.45% top-1 accuracy on ImageNet, setting a new state-of-the-art record. By Anthony Alford
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Let’s get analytical about ML model updates Image by Author. Is it time to retrain your machine learning model? Even though data science is all about… data, the answer to this question is surprisingly often based on a gut feeling. Some retrain the models overnight — because it is convenient. Others do it every month — it seemed about right, and som ...
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A Gentle Introduction to Knowledge Representation Learning Knowledge representation learning (KRL) mainly focus on the process of learning knowledge graph embeddings, while keeping the semantic similarities. This has proven extremely useful, as feature inputs, for a wide variety of prediction and graph analysis tasks [1, 2, 3]. We will further elab ...
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Support fish migration using machine learning and computer vision Many different fish species travel vast distances every year to reach their breeding grounds. Nowadays this journey is made more difficult due to obstacles such as water locks. One of these water locks placed along a popular route for migrating fish is the Weerdsluis in Utrecht. In o ...
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HuggingFace’s datasets library is a one-liner python library to download and preprocess datasets from HuggingFace dataset hub. The library, as of now, contains around 1,000 publicly-available datasets. (Source: self) In this post, I’ll share my experience in uploading and mantaining a dataset on the dataset-hub. The following meme summarizes the in ...
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Our top picks of promising state-of-the-art papers from the top Computer Vision conference about synthesis of humans, scenes and motion. The 2021 Conference on Computer Vision and Pattern Recognition (CVPR) has just commenced. With topics running the gamut from autonomous driving to medical imaging, CVPR 2021 features an exciting lineup of state-of ...
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Hello, I'm a CS student currently. I'm getting into ML. I've read that Pytorch is better for beginners, but TF is better for deployment. So is Pytorch doable for beginners?Say, if I want to integrate into an android app?Thanks. ...
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Posted by Andrew Carroll, Product Manager and Cory McLean, Software Engineer, Google Health Each person’s genome, which collectively encodes the biochemical machinery they are born with, is composed of over 3 billion letters of DNA. However, only a small subset of the genome (~4-5 million positions) varies between two people. Nonetheless, each pers ...
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Video here. Full workshop stream here.
Karpathy discusses how radar bugs were holding Autopilot performance back, and how removing it from the stack to go vis ...
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Posted by Jarrod McClean, Staff Research Scientist and Hsin-Yuan (Robert) Huang1, Intern, Google Quantum AI Quantum computing has rapidly advanced in both theory and practice in recent years, and with it the hope for the potential impact in real applications. One key area of interest is how quantum computers might affect machine learning. We recent ...
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ML.NET is an open-source, cross-platform machine learning framework for .NET developers that enables integration of custom machine learning into .NET apps. We are excited to announce new versions of ML.NET and Model Builder which bring a ton of awesome updates! In this post, The post ML.NET June Updates appeared first on .NET Blog.
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Facebook AI Research (FAIR) open-sourced Expire-Span, a deep-learning technique that learns which items in an input sequence should be remembered, reducing the memory and computation requirements for AI. FAIR showed that Transformer models that incorporate Expire-Span can scale to sequences of tens of thousands of items with improved performance co
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Hey all! You might remember me from the Data Science Cheatsheet I posted a few months ago (here). The support from that was incredible, and I thought I’d share an update.
Since then, I’ve gone through a dozen interviews, ranging from FANG to startups to MBB, and updated the cheatsheet with topics I’ve seen covered in actual interviews.
Impr ...
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The (univariate) Gaussian distribution is defined by the following p.d.f.: \[\N(x \mid \mu, \sigma) := \frac{1}{\sigma \sqrt{2 \pi}} \exp\left( - \frac{(x-\mu)^2}{2 \sigma^2} \right) .\] Let $M := \{ \N(x \mid \mu, \sigma) : (\mu, \sigma) \in \R \times \R_{> 0} \}$ be the set of all Gaussian p.d.f.s. We would like to treat this set as a smooth mani
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Check out this episode from our #MSBuild recap when Seth welcomed Krishna Doss back to the show to share the latest and greatest from Azure Translator, translating documents at scale and preserving formatting! Jump to: [00:17] Seth welcomes Krishna [00:59] What's new in Azure Translator [04:25] How it works [05:26] Sample requests [06:23] Source v.
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