Анализ таймсерий в R.
https://clck.ru/UX6og
Введение в SVM (машину опорных векторов) вместе с кодом Python.
https://clck.ru/UX6oi
Машинное обучение с ML.NET - анализ настроений.
https://clck.ru/UX6ov
https://clck.ru/UX6og
Введение в SVM (машину опорных векторов) вместе с кодом Python.
https://clck.ru/UX6oi
Машинное обучение с ML.NET - анализ настроений.
https://clck.ru/UX6ov
R-bloggers
Timeseries analysis in R
<div style = "width:60%; display: inline-block; float:left; "> Timeseries analysis in R, in statistics time series, is one of the vast subjects, here we are going to analyze some basic functionalities with... The post Timeseries analysis in R appeared first…
Как спроектировать сеть с учетом масштабной эквивалентности https://towardsdatascience.com/sesn-cec766026179
Medium
Scale-Equivariant CNNs
How to design a network for scale-equivariance
Алгоритм машинного обучения помогает разгадать физику, лежащую в основе квантовых систем.
https://clck.ru/UawEw
https://clck.ru/UawEw
ScienceDaily
Machine learning algorithm helps unravel the physics underlying quantum systems
Scientists have developed an algorithm that provides valuable insights into the physics underlying quantum systems - paving the way for significant advances in quantum computation and sensing, and potentially turning a new page in scientific investigation.
Дополнительные приемы, рецепты и статистические модели машинного обучения.
https://clck.ru/UawLR Масштабирование сегодня: новому стеку исполнилось 7 лет.
https://clck.ru/UawH6
https://clck.ru/UawLR Масштабирование сегодня: новому стеку исполнилось 7 лет.
https://clck.ru/UawH6
Datasciencecentral
More Machine Learning Tricks, Recipes, and Statistical Models
Source for picture: here
The first part of this list was published here. These are articles that I wrote in the last few years. The whole series will feature…
The first part of this list was published here. These are articles that I wrote in the last few years. The whole series will feature…
Самый важный компонент в конвейере ML невидим.
https://clck.ru/UbypL
https://clck.ru/UbypL
Container Journal
The Most Crucial Component in an ML Pipeline is Invisible - Container Journal
MLMD helps us analyze all the parts of an ML pipeline and how they interconnect. Here's an example of how to use it to create ML models.
Обзор по самоконтролируемому контрастивному обучению.
https://clck.ru/UbypU
https://clck.ru/UbypU
Medium
Review on Self-Supervised Contrastive Learning
For the past few years, contrastive learning and self-supervised techniques became a hot topic in computer vision. Many researchers from different AI research labs are working on creating new…
Что я узнал за 25 лет машинного обучения https://www.datasciencecentral.com/profiles/blogs/what-i-learned-from-25-years-of-machine-learning
Datasciencecentral
What I Learned From 25 Years of Machine Learning
Source: here
Here is what I learned from practicing machine learning in business settings for over two decades, and prior to that in the academia. Back in the…
Here is what I learned from practicing machine learning in business settings for over two decades, and prior to that in the academia. Back in the…
Глубокие сверточные генеративные состязательные сети.
https://clck.ru/Uf8Wj
Что такого особенного в векторных вложениях.
https://clck.ru/Uf8XQ
https://clck.ru/Uf8Wj
Что такого особенного в векторных вложениях.
https://clck.ru/Uf8XQ
Medium
Deep Convolutional Generative Adversarial Networks
In 2014, Goodfellow et al. presented the Generative Adversarial Network (GAN) that generates images similar to the ones in the image…
Будущее автоматизации бизнес-процессов.
https://hackernoon.com/the-future-of-business-process-automation-u34o34n9
https://hackernoon.com/the-future-of-business-process-automation-u34o34n9
Механизм управления данными и безопасности в распределенной системе хранения данных https://dzone.com/articles/a-snapshot-about-data-governance-amp-security-mech
dzone.com
Snapshot: Data Governance and Security Mechanism in Distributed Data Storage System - DZone Big Data
Data governance can be defined as the consolidation of managing data access, accountability, and security. By default, HDFS does not provide any strong security
Устранение искажений документов с помощью ИИ.
Https://clck.Ru/UhSXJ
Искусственный интеллект делает отличные микроскопы лучше, чем когда-либо.
Https://clck.Ru/UhSXU
Https://clck.Ru/UhSXJ
Искусственный интеллект делает отличные микроскопы лучше, чем когда-либо.
Https://clck.Ru/UhSXU
Medium
Dewarping Documents with AI
Document Dewarping Methods in Deep Learning for Computer Vision
Преимущества использования машинного обучения для поведенческого анализа в здравоохранении, ИТ-безопасности и т. Д. https://pub.towardsai.net/the-advantages-of-using-ml-for-behavioral-analysis-in-health-care-it-security-and-more-c4da939fcdc0?gi=543f31730ce5
Medium
The Advantages of Using ML for Behavioral Analysis in Health Care, IT Security, and More
In 2019, Yan et al. published a study exploring the suitability of machine learning to analyze online learning behavior for predicting…
20 главных концептуальных вопросов для проверки ваших навыков в области науки о данных в 2021 году https://www.analyticsvidhya.com/blog/2021/05/top-20-conceptual-questions-to-test-your-data-science-skills-in-2021/
Analytics Vidhya
Conceptual Questions To Test Your Data Science Skills In 2021
We have curated a list of 20 Conceptual Questions on Data Science Concepts consisting of various types of questions to test your skills
Исследователи опубликовали биологически правдоподобный метод обучения искусственного интеллекта https://www.infoq.com/news/2021/05/biological-ai-training/
InfoQ
Researchers Publish Biologically Plausible AI Training Method
A team of researchers at Oxford University developed an algorithm called zero-divergence inference learning (Z-IL), an alternative to the backpropagation (BP) algorithm for training neural network AI models. Z-IL has been shown to exactly reproduce the results…
Полное руководство по кодированию числовых функций в машинном обучении https://www.analyticsvidhya.com/?p=78547
Analytics Vidhya
Complete Guide on Encoding Numerical Features in Machine Learning
This article was published as a part of the Data Science Blogathon. Introduction In Machine learning projects, we have features that could be in numerical and categorical formats. We know that Machine learning algorithms only understand numbers, they don't…
Популярные вопросы по программированию, задаваемые в интервью по Data Science https://www.analyticsvidhya.com/blog/2021/05/popular-coding-questions-asked-in-data-science-interviews/
Analytics Vidhya
Top 20 Data Science Coding Questions and Answers for 2023
Data Science coding questions for 2023 with expert answers, focusing on data structure, algorithms, and coding skills. Start improving now!
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!