Подробное руководство по глубокому обучению - часть 1 https://www.analyticsvidhya.com/blog/2021/05/a-comprehensive-tutorial-on-deep-learning-part-1/
Analytics Vidhya
A comprehensive tutorial on Deep Learning - Part 1
Explore deep learning fundamentals, its applications, data requirements, and key concepts like logistic regression and gradient descent.
Реализация в PyTorch различных фундаментальных алгоритмов RL https://pythonawesome.com/pytorch-implementation-of-various-fundamental-rl-algorithms/
Python Awesome
PyTorch implementation of various fundamental RL algorithms
A collection of various RL algorithms like policy gradients, DQN and PPO.
Искусственный интеллект против машинного обучения против глубокого обучения: в чем именно разница? https://www.analyticsvidhya.com/blog/2021/05/ai-ml-dl/
Analytics Vidhya
Artificial Intelligence Vs Machine Learning Vs Deep Learning: What exactly is the difference ?
AI, ML and DL are one of the most talked of topics in this era. Let's understandwhat the difference between AI, ML and DL
Машинное обучение решает два типа проблем: проблемы регрессии и проблемы классификации. https://www.analyticsvidhya.com/blog/2021/05/in-depth-understanding-of-confusion-matrix/
Analytics Vidhya
In-depth understanding of Confusion Matrix
Confusion Matrix is the visual representation of the Actual VS Predicted values. Learn what is confusion matrix and Explore the world of Confusion Matrix!
ggside: построение линейной регрессии с использованием маржинальных распределений (расширение ggplot2).
https://www.r-bloggers.com/2021/05/ggside-plot-linear-regression-using-marginal-distributions-ggplot2-extension
https://www.r-bloggers.com/2021/05/ggside-plot-linear-regression-using-marginal-distributions-ggplot2-extension
R-bloggers
ggside: Plot Linear Regression using Marginal Distributions (ggplot2 extension)
<div style = "width:60%; display: inline-block; float:left; "> This article is part of R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Here are the links to get set up. ? Get the Code YouTube…
IBM представляет платформу анализа данных Python Anaconda в Linux https://developer-tech.com/news/2021/may/18/ibm-python-data-science-platform-anaconda-linux/
Developer Tech News
IBM brings Python data science platform Anaconda to Linux
IBM is bringing the Python data science platform Anaconda to the company’s LinuxONE and IBM Z customers.
Сверточные сети с графами - объяснение https://towardsdatascience.com/graph-convolutional-networks-explained-d88566682b8f
Medium
Graph Convolutional Networks — Explained.
In my last article on graph theory, I briefly introduced my latest topic of interest: Graph Convolutional Networks. It’s entirely possible…
Традиционные модели классификации и модели глубокого обучения | Эмпирическое исследование! https://www.analyticsvidhya.com/blog/2021/05/emperical-study-of-traditional-vs-deep-learning-classification-models/
Analytics Vidhya
Traditional vs Deep Learning Classification Models | An Empirical Study!
we are presenting an experiment on traditional vs deep learning classification models. Here, we are using the amazon reviews dataset.
Что такое большие данные? Введение, использование и приложения. https://www.analyticsvidhya.com/blog/2021/05/what-is-big-data-introduction-uses-and-applications/
Analytics Vidhya
What is Big Data? Introduction, Uses, and Applications.
What is big data? Definition, history, benefits, applications, big data uses, types, 5Vs, use across industries, and challenges.
Машинное обучение с Docker и Kubernetes: пакетный вывод https://xaviervasques.medium.com/machine-learning-with-docker-and-kubernetes-batch-inference-4a25328f23c7
Medium
Machine Learning with Docker and Kubernetes: Batch Inference
“Machine Learning with Docker and Kubernetes: Batch Inference” is published by Xavier Vasques in Towards Data Science.
20 вопросов для проверки ваших навыков работы с алгоритмом KNN https://www.analyticsvidhya.com/blog/2021/05/20-questions-to-test-your-skills-on-k-nearest-neighbour/
Analytics Vidhya
Blog
Here at Analytics Vidhya, beginners or professionals feel free to ask any questions on business analytics, data science, big data, data visualizations tools & techniques.
Интуитивное введение в байесовскую теорию принятия решений https://www.analyticsvidhya.com/blog/2021/05/an-intuitive-introduction-to-bayesian-decision-theory/
Analytics Vidhya
Bayesian Decision Theory
Bayesian decision theory refers to the statistical approach based on tradeoff quantification among various classification decisions
Руководство для начинающих по искусственной нейронной сети https://www.analyticsvidhya.com/?p=79522
Analytics Vidhya
Artificial Neural Network | Beginners Guide to ANN
Artificial Neural Network is a set of algorithms. This article is a beginners guide to learn about the basics of ANN and its working
Обучение внутреннему квантованию Руководство для более глубокого понимания техники эффективной оптимизации модели https://clck.ru/V6ss3
Medium
Inside Quantization Aware Training
To optimize our neural networks to run for low power and low storage devices, various model optimization techniques are used. One such very efficient technique is Quantization Aware Training.
Мир больших данных: Часть 4. Архитектура. https://clck.ru/V7yBC
JetBrains Blog
Big Data World: Part 4. Architecture. | JetBrains News
This is the fourth part of our ongoing series on Big Data, how we see it, and how we build products for it. In this installment, we’ll cover the second responsibility of data engineers: architecture.
Основной жаргон для начинающих практиков машинного обучения https://clck.ru/V9CQx
Medium
Essential Lingo for the Aspiring ML Practitioner
Every industry has its lingo and machine learning (ML) is no different. Here’s a brief checklist of key terminology that all aspiring ML developers should be familiar with when building models…
Искусственные нейронные сети - 25 вопросов для проверки ваших навыков работы с ИНС https://clck.ru/VA8vK
Analytics Vidhya
Artificial Neural Networks- 25 Questions to Test Your Skills on ANN
This article was published as a part of the Data Science Blogathon Introduction Artificial Neural Networks are computing systems that are inspired by the working of the Human Neuron. It is the backbone of Deep Learning that led to the achievement of bigger…
Математика, лежащая в основе контролируемого обучения для чайников: теория простыми словами (часть II) https://clck.ru/VBgRb
Medium
Maths behind Supervised Learning for Dummies: The theory in plain words (Part II)
A quick overview of the algebra and geometry behind supervised learning for everybody.