​When AI meets Art — Neural Style Transfer with magenta.js

🔗 When AI meets Art — Neural Style Transfer with magenta.js
Combine masterpieces with modern technology, how amazing artworks can AI produce

​Detecto — Build and train object detection models with PyTorch

🔗 Detecto — Build and train object detection models with PyTorch
Simplifying the process of building custom-trained computer vision models

​Building a Powerful DQN in TensorFlow 2.0 (explanation & tutorial)

🔗 Building a Powerful DQN in TensorFlow 2.0 (explanation & tutorial)
And scoring 350+ by implementing extensions such as double dueling DQN and prioritized experience replay

​Announcing PyCaret: An open source, low-code machine learning library in Python

🔗 Announcing PyCaret: An open source, low-code machine learning library in Python
An open source low-code machine learning library in Python.

🎥 Regular Expressions in Python - ALL You Need To Know - Programming Tutorial
👁 1 раз ⏳ 3888 сек.
In this Python Tutorial, we will be learning about Regular Expressions (or RE, regex) in Python. Regular expressions are a powerful language for matching text patterns. Possible pattern examples for searches are e-mail addresses or domain names. This video covers all you need to know to understand any regex expression! I go over all important concepts and mix examples in between.

Here is an overview what I am showing you, if you want to skip to a specific part:

If you like this Tutorial, please subscribe

🎥 ООП 8 "Моносостояние". Объектно-ориентированное программирование в Python.
👁 2 раз ⏳ 280 сек.
Стать спонсором канала
https://www.youtube.com/channel/UCMcC_43zGHttf9bY-xJOTwA/join
https://www.patreon.com/artem_egorov

http://egoroffartem.pythonanywhere.com/course/oop-python/monosostoyanie-dlya-ekzemplyarov-klassa

Попрактикуемся в создании классов и описании их методов.
Создадим атрибуты класса и экземпляра.
Также сделаем конструктор класса ( метод __init__ )

Object-Oriented Programming (OOP) in Python 3

http://egoroffartem.pythonanywhere.com/course/oop-python/praktika-sozdanie-klassa-i-ego-metodov

​Relevance updates in LVQ

🔗 Relevance updates in LVQ
Not all features are created equally

​Effective Data Visualization

🔗 Effective Data Visualization
Tips for building effective data visualizations condensed into 3 simple steps

​GANs in computer vision - Conditional image and object generation

🔗 GANs in computer vision - Conditional image and object generation
The second article of the GANs in computer vision series - looking deeper in generative adversarial networks, mode collapse, conditional image synthesis, and 3D object generation, paired and unpaired image to image generation.

​Neural Networks from Scratch - Coding a Layer

A beginner’s guide to understanding the inner workings of Deep Learning

https://morioh.com/p/fb1b9f5a52bc

Video Part 1: https://www.youtube.com/watch?v=Wo5dMEP_BbI

Video Part 2: https://www.youtube.com/watch?v=lGLto9Xd7bU
Наш телеграм канал - tglink.me/ai_machinelearning_big_data

🔗 Neural Networks from Scratch - P.2 Coding a Layer
In this Python tutorial, you'll learn how to build neural networks from scratch. What’s a Neural Network? Neural Networks are like the workhorses of Deep learning. With enough data and computational power, they can be used to solve most of the problems in deep learning. It is very easy to use a Python or R library to create a neural network and train it on any dataset and get a great accuracy.

​Statistics in ML: Why Sample Variance Divided by n Is Still a Good Estimator

🔗 Statistics in ML: Why Sample Variance Divided by n Is Still a Good Estimator
Understand why we use (n − 1) in sample variance, and why using n still gives us a good estimator for the population variance.

​Prototyping My Video Search Engine

🔗 Prototyping My Video Search Engine
In the last post, I evaluated the accuracy of my object detector, which was tasked with finding a ping pong ball in play in a video…

​GPT-2 в картинках (визуализация языковых моделей Трансформера)

🔗 GPT-2 в картинках (визуализация языковых моделей Трансформера)
В 2019 году мы стали свидетелями блистательного использования машинного обучения. Модель GPT-2 от OpenAI продемонстрировала впечатляющую способность писать связ...

​140 Machine Learning Formulas

🔗 140 Machine Learning Formulas
By Rubens Zimbres. Rubens is a Data Scientist, PhD in Business Administration, developing Machine Learning, Deep Learning, NLP and AI models using R, Python an…

​Новые архитектуры нейросетей

🔗 Новые архитектуры нейросетей
Новые архитектуры нейросетей Предыдущая статья «Нейросети. Куда это все движется» В этой статье кратко рассматриваются некоторые архитектуры нейросетей, в основ...

​Time series data mining techniques and applications

🔗 Time series data mining techniques and applications
Forecasting, anomaly detection, predictive analytics, econometrics and much more

​Strategies for Optimising Enterprise-Level Data Consumption

🔗 Strategies for Optimising Enterprise-Level Data Consumption
Middleware service, Data Warehousing with ETL/ELT and MASA (Mesh Apps and Services Architecture)

🎥 Feature Selection in R programming | Stepwise Regression | Machine Learning | Data Science
👁 3 раз ⏳ 590 сек.
#Featureselection #Stepwiseregression #Machinelearning

Feature selection is an important part of the Machine Learning model building. In this video you will learn about how to use Stepwise Selection, Forward Selection , Subset Selection, Backward Selection in R

For courses on Credit risk modelling, Marketing Analytics and Data Science projects contact analyticsuniversity@gmail.com

For Study Packs : http://analyticuniversity.com/

Complete Data Science Course : http://bit.ly/34Sucmb

Access All Coursera(

🎥 Deploying the Speech Recognition System on Docker with NGINX
👁 2 раз ⏳ 1716 сек.
In this video, we'll deploy our deep learning application for speech recognition using Docker containers. We'll also add NGINX to our tech stack and orchestrate the Flask and NGINX containers using Docker Compose.

Code:
https://github.com/musikalkemist/Deep-Learning-Audio-Application-From-Design-to-Deployment/tree/master/7-%20Deploying%20the%20Speech%20Recognition%20System%20on%20Docker%20with%20NGINX/code

Slides:
https://github.com/musikalkemist/Deep-Learning-Audio-Application-From-Design-to-Deployment/t

​Какие люди отвечают за развитие технологий и трансформацию ВТБ, какие проекты они запускают и кого ищут к себе в команду – рассказываем в серии роликов проекта Fintech Talks.

https://youtu.be/wUQ9DSJHnt8

🔗 ИТ команда ВТБ - о проектах от первого лица
Какие люди отвечают за развитие технологий и трансформацию ВТБ, какие проекты они запускают и кого ищут к себе в команду – рассказываем в серии роликов проекта Fintech Talks. Присоединяйтесь к команде ВТБ, ищите открытые вакансии по ссылке: https://www.vtbcareer.com/it/#vacancy Читайте больше о технологиях ВТБ: https://rb.ru/vtb/