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So deepmind published this paper but I couldn't find any source code. My implementation isn't *completely* faithful (the positional encoding for example) and the paper also didn't have every detail, but it's pretty close. I just thought I'd share in case anyo ...
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This guide is intended for anyone having zero or a small background in programming, maths, and machine learning. There is no specific order to follow, but a classic path would be from top to bottom. If you don't like reading books, skip it, if you don't want to follow an online course, you can skip it as well. There is not a single way to become a ...
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I have a data science degree, but primarily only took a few Introduction to AI and ML classes, and didn’t get very into the weeds.
Any recommendations on resources to read and learn from, any frustrations from engineers about their PMs on what not to do, etc. would be greatly appreciated! ...
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INTUITIVE GEO-LOCATION SERIES A Gentle Guide to Feature Engineering and Visualization with Geospatial data, in Plain English Photo by Daniel Olah on Unsplash Location data is an important category of data that you frequently have to deal with in many machine learning applications. Location data typically provides a lot of extra context to your appl ...
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Design of Excel Automation Tools for Sales Analytics ready to be used by your colleagues without any prior knowledge of Python Photo by Carlos Muza on Unsplash How many articles have you read stating that “Excel is Dead, long live Python”, “Python is the new Excel” or “Excel became obsolete”? But when you look around you, in your team or other depa ...
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Use Gaussian Mixture Models to Transform User-Item Embedding and Generate Better User Clusters Improve clustering of user-item embedding by using Gaussian mixture model to generate new and tighter user features Photo by Markus Spiske on Unsplash I. Intro A large company that sells music records hired you to help them better understand their custome ...
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Photo by J.A.Neshan Paul on Unsplash Digital Twins of the environment can help reaching sustainability goals and tackling climate change related issues. They will strongly rely on geospatial data, and the processing and analytics thereof. Cloud environments provides the flexibility and scalability needed to cope with the potential enormous geospati ...
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Gradient Boosting in R, in this tutorial we are going to discuss extreme gradient boosting. Why is eXtreme Gradient Boosting in R? Popular in... The post Gradient Boosting in R appeared first on finnstats. The post Gradient Boosting in R first appeared on R-bloggers.
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Creating a simple machine learning demo with GradioML Deploy a model in a functional user interface with just a few lines of code Image by Author Deploying a machine learning model is sometimes an overlooked aspect of data science. Many analytics professionals focus a majority of their attention on theory and application to build models that can so ...
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This week, Microsoft announced the $19.7-billion acquisition of Nuance, a company that uses deep learning to transcribe clinical appointments (and other stuff). What's interesting about the deal is the evolution of Microsoft's relation ...
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Microsoft's acquisition of Nuance signals the tech giant's AI strategy in Azure, self-driving cars, and other products beyond health care AI.
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How To Code RNN And LSTM Neural Networks In Python In [1]: import matplotlib.pyplot as plt import numpy as np import pandas as pd import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers tf . __version__ Out[1]: '2.3.1' Check out following links if you want to learn more about Pandas and Numpy. Pandas Numpy Basics Wh
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https://reddit.com/link/mqd1ho/video/l2o09485n0t61/player
A deep neural network that plays CSGO deathmatch from pixels. It's trained on a dataset of 70 hours (4 million frames) of human play, using behavioural cloning.
ArXiv paper: https://arxiv.org/abs/2104.04 ...
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Google’s DeepMind company has recently released a state-of-the-art deep-learning model called Perceiver that receives and processes multiple input data ranging from audio to images similarly how the human brain perceives multimodal data. Perceiver is able to receive and classify input multiple data types, namely point cloud, audio and images. By Br
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Posted by Anthony Francis, Software Engineer and Alexander Toshev, Staff Research Scientist, Google Research Computer vision has significantly advanced over the past decade thanks to large-scale benchmarks, such as ImageNet for image classification or COCO for object detection, which provide vast datasets and criteria for evaluating models. However ...
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tl;dr Trying to debug a poorly performing machine learning model, I discovered that the distribution of one of the features varied from one date to another. I used a simple and neat affine rescaling. This simple quality improvement brought down the model’s prediction error by a factor 8 Data ... The post Have you checked your features distributions
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Microsoft recently open-sourced ZeRO-3 Offload, an extension of their DeepSpeed AI training library that improves memory efficiency while training very large deep-learning models. ZeRO-3 Offload allows users to train models with up to 40 billion parameters on a single GPU and over 2 trillion parameters on 512 GPUs. By Anthony Alford
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From The Verge.
I may be wrong on this, but afaik it has been a while since Microsoft made such a huge acquisition of a company with an arguably heavily-convoluted internal ecosystem. It feels like MS did it for ...
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