• Google Colab

    Integration with Drive. Colaboratory is integrated with Google Drive. It allows you to share, comment, and collaborate on the same document with multiple people: The SHARE button (topright of the toolbar) allows you to share the notebook and control permissions set on it. File>Make a Copy creates a copy of the notebook in Drive.

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  • Feature Selection – All You Ever Wanted To Know

     · All machine learning workflows depend on feature engineering, which comprises feature extraction and feature selection that are fundamental building blocks of modern machine learning pipelines. Despite the fact that feature extraction and feature selection processes share some overlap, often, these terms are erroneously equated. Feature extraction is the process of .

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  • TensorFlow

    Discover solutions to help you integrate machine learning in your mobile and web apps, and new Google Developers learning pathways to guide you through common ML scenarios and custom use cases. See OnDevice ML May 18, 2021 Join the TensorFlow Forum Explore our new discussion platform to share ideas, find answers to technical questions, and learn the latest .

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  • Import data from PDF files using R Scripts SQL Server

    Import the library in your R script session. If we want to check the PDF files available in our current R directory, you can use the () function in R Scripts SQL Server and filter the results for PDF files. As shown below, It returns the PDF file .

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  • Machine Learning with Python Tutorial

    Machine Learning (ML) is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. The key focus of ML is to allow computer systems to learn from experience without .

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  • Azure Functions Serverless Compute | Microsoft Azure

    Develop more efficiently with Functions, an eventdriven serverless compute platform that can also solve complex orchestration problems. Build and debug locally without additional setup, deploy and operate at scale in the cloud and integrate services using triggers and bindings. Functions now runs on Kubernetes or anywhere with Azure Arc.

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  • Kernel Functions. Lately, I have been doing some reading ...

    Fig. 1. In support vector machines, it looks somewhat like below :) which separates the blue balls from red. SVM is a classifier formally defined by a separating hyperplane. An hyperplane is a subspace of one dimension less than its ambient dimension of a mathematical space (or object) is informally defined as the minimum number of coordinates (x,y,z axis) needed to specify any ...

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  • Golem Network

    Golem Network is an accessible, reliable, open access and censorshipresistant protocol, democratizing access to digital resources and connecting users through a flexible, opensource platform. With Golem Network, users can connect with ease and pay each other for sharing their unused resources. Golem's democratized access combined with a ...

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  • Production Worker job description template [free sample ...

    Production worker duties vary based on the factory's processes and products. Usually, they maintain and operate production equipment and assist with distributing the final products. They monitor stock levels and help with shipping procedures. Finally, they follow safety policies and detect potential machinery problems early on.

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  • Mining Algorithms | Cudo Miner

    Auto Coin Exchanging: Auto exchanges the coins at the peak mining time so you get the benefit; Auto OC and Memory Timings appliion: Cudo Miner can auto configure the best settings for your hardware to generate up to 30% increased revenue; Settings per algorithm: The settings change per algorithm, which can change 23 times in a day to earn you the most. Compute .

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  • GitHub

    Mis funciones en R. Contribute to Edimer/MisFuncionesR development by creating an account on GitHub.

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  • Introduction to Loss Functions

     · Introduction to loss functions. The loss function is the bread and butter of modern machine learning; it takes your algorithm from theoretical to practical and transforms neural networks from glorified matrix multipliion into deep learning.. This post will explain the role of loss functions and how they work, while surveying a few of the most popular from the past decade.

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  • Radial Basis Function Kernel

     · Radial Basis Kernel is a kernel function that is used in machine learning to find a nonlinear classifier or regression line.. What is Kernel Function? Kernel Function is used to transform ndimensional input to mdimensional input, where m is much higher than n then find the dot product in higher dimensional efficiently.

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  • Mining Profit Calculator for Video Card (GPU)

    Easy to use most profitable mining pool for video card (GPU) and processor (CPU) Most profitable mining pool for video card (GPU) Regular payouts every 2hours Quick Start. Flux (ZelCash) FLUX Pools listed: 3. Flux (ZelCash) Price. %. Nethash (3h) Ksol/%. Profit 24h. 346 FLUX. %: Ksol/%: 346 FLUX: FLUX: 22,082,422 ...

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  • Understanding Ranking Loss, Contrastive Loss, Margin Loss ...

     · Triplets mining is particularly sensible in this problem, since there are not established classes. Given the diversity of the images, we have many easy triplets. But we have to be carefull mining hardnegatives, since the text associated to another image can be also valid for an anchor image. Triplet Ranking Loss training of a multimodal retrieval pipeline. The text .

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  • Cómo activar o desactivar las características opcionales ...

    16/04/2016 · Sólo deberás activar las funciones que necesitas y vas a utilizar realmente. Cómo ver las características opcionales de Windows 10 para activarlas o desactivarlas. Microsoft no ofrece una manera óptima de administrar estas características opcionales de Windows 10, por lo que vas a tener que utilizar las antiguas características de Windows, disponible en el panel de .

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  • Minería de Datos con Weka I (Data Mining with Weka) | Udemy

    Minería de Datos con Weka I (Data Mining with Weka) Procesamiento y transformación datos, clasificación, minería de datos, weka, Ciencia de los datos, Business Intelligence. Rating: out of 5. (161 ratings) 584 students. Created by Masun Nabhan Homsi.

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  • Research

    With more than 500 million learners, Duolingo has the world's largest collection of languagelearning data at its fingertips. This allows us to build unique systems, uncover new insights about the nature of language and learning, and apply existing theories at scales never before seen.

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  • Introduction to Loss Functions

     · Introduction to loss functions. The loss function is the bread and butter of modern machine learning; it takes your algorithm from theoretical to practical and transforms neural networks from glorified matrix multipliion into deep learning.. This post will explain the role of loss functions and how they work, while surveying a few of the most popular from the past .

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  • spaCy · Industrialstrength Natural Language Processing in ...

    Choose from a variety of plugins, integrate with your machine learning stack and build custom components and workflows. Read more. Edit the code try spaCy # pip install U spacy # python m spacy download en_core_web_sm import spacy # Load English tokenizer, tagger, parser and NER nlp = spacy. load ("en_core_web_sm") # Process whole documents text = ("When .

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