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How to build a complicated Machine Learning web application serverlessly on AWS GIF by author A lot of work and effort goes into productionizing a machine learning based product. We recently finished developing a web application to predict an Olympic diver’s performance. Given an Olympic diver’s video, the web app predicts what score a human judge ...
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A friendly introduction to a perennially popular clustering algorithm This is going to be the second installment (only because installment sounds fancier than article!) in the Explaining Machine Learning Algorithms to 10-year Olds series. You can find the XGBoost Classification article here. Today we’ll be explaining K-Means Clustering, a very popu ...
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Open-sourced metrics to easily evaluate the quality of explanations (Image by author) The rise of Machine Learning, taking over new industries and applications, has been very strong in the last decades. Its increasing complexity turned models into black-boxes, making the processes between input and output more opaque. In turn, and supported by othe ...
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Posted by Tom Denton, Software Engineer and Scott Wisdom, Research Scientist, Google Research Birds are all around us, and just by listening, we can learn many things about our environment. Ecologists use birds to understand food systems and forest health — for example, if there are more woodpeckers in a forest, that means there’s a lot of dead woo ...
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Model-Based Learning Deploying a model-based AI learning system to decide patient cancer survival on imbalanced and missing data Disclaimer: This article unfortunately won’t be going into a lot of detail or explanation of model-based learning — sometimes called “generative models”. So I refer you to my past posts on it. You can check my Medium prof ...
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This article is part 2 of a two-part series on distilling BERT-like models in the fashion of DistilBERT. For part one, you may follow this link. If however, you consider that you have a good grasp on DistilBERT’s distillation method, feel free to skip the read. Much like chemical distillation, we’re going to extract from our model what matters: kno ...
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I just realized my local library let's me access a ton of the latest tech books through its free subscription to O'Reilly. I was planning to buy a few of the books I can access for free. Worth checking to see if your library also gives you free access. ...
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**Video Lectures for Machine Learning(Theory):**
**Machine Learning:**
Cornell CS4780: https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS
Stanford CS 229:
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**Link:** **https://chrome.google.com/webstore/detail/paperslabmlai/agkeoekbbkpokfbpmmminnombikadbhb**
Identifies research papers mentioned in websites you visit, and the extension shows you the following ...
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NumPy is a third-party library for numerical computing, optimized for working with single- and multi-dimensional arrays. Its primary type is the array type called ndarray. This library contains many routines for statistical analysis. Creating, Getting Info, Selecting, and Util Functions The 2009 data set 'Wine Quality Dataset' elaborated by Cortez
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Posted by Heng-Tze Cheng, Senior Staff Software Engineer and Romal Thoppilan, Senior Software Engineer, Google Research, Brain Team Language models are becoming more capable than ever before and are helpful in a variety of tasks — translating one language into another, summarizing a long document into a brief highlight, or answering information-see ...
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Share your rants. ...
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Hi I am an Android developer and I’d like to become a ML developer by the end of this year. Any tips on where to begin because frankly I am overwhelmed the amount of tutorials available. Should I start with Andrew NG or fastAi. Or is there anything else I should start with? ...
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In 2020 a lethal autonomous weapon was used for the first time in an armed conflict - the Turkish-made drone - Kargu-2 - in Libya's civil war. In recent years, more weapon systems have incorporated elements of autonomy but they still rely on a person to launch an attack.
But advances in AI, sensors, and electronics have made it easier to bu ...
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Aside from stunning demos, generative AI is gradually entering creative production and simplifying time-consuming tasks. Over time, creatives and designers will gain superpowers, changing their jobs forever. Photo by Scott Evans Disruptive innovation always starts with simple applications at the bottom of a market and moves up until it disrupts an ...
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In this podcast summary Thomas Betts, Wes Reisz, Shane Hastie, Charles Humble, Srini Penchikala, and Daniel Bryant discuss what they have seen in 2021 and speculate a little on what they hope to see in 2022. Topics explored included: hybrid working and the importance of ethics and sustainability within technology. By Daniel Bryant, Wesley Reisz, Th
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Meta and AWS will work together to improve the performance for customers of applications running PyTorch on AWS and accelerate how developers build, train, deploy, and operate artificial intelligence and machine-learning models. By Daniel Dominguez
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