🎥 Zero to Deep Learning Webinar / Get started with Machine Learning and Deep Learning / Covid 19
👁 1 раз ⏳ 4413 сек.
Zero to Deep Learning webinar on machine learning and COVID-19.

Find out more: https://www.zerotodeeplearning.com

This webinar covers:
- State of AI in 2020
- AI VS COVID-19
- COVID-19 Impact
- Zero to Deep Learning Online
- Hands-on COVID-19 data analysis with Python

🎥 Stock Prediction using Machine Learning and Python | Machine Learning Training | Edureka
👁 2 раз ⏳ 1685 сек.
🔥NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka "Stock Prediction using Machine Learning" takes you through the basic process of predicting the trends of stock prices using machine learning architecture of LSTM while also making use of prominent Python Libraries such as Tensorflow, Keras, etc. Topics covered in the tutorial are as follow:
01:30 Introduction to Stock Prediction
03:00 LSTM Architecture
05:35 Stock Prediction Model
2

​The Iris Dataset — A Little Bit of History and Biology

🔗 The Iris Dataset — A Little Bit of History and Biology
Data can make more sense if we know the stories behind the data.

​How I taught my computer to play Spot it! using OpenCV and Deep Learning

https://towardsdatascience.com/how-i-learned-my-computer-to-play-spot-it-using-opencv-and-deep-learning-ad1f017a3ec3

Habr ru: https://habr.com/ru/company/otus/blog/498800/

Code: https://github.com/henniedeharder/spotit/tree/master/DeepLearningSpotIt

🔗 How I taught my computer to play Spot it! using OpenCV and Deep Learning
Some fun with computer vision and CNNs with a small dataset.

​Building a Real Time Emotion Detection with Python

https://morioh.com/p/801c509dda99

Code: https://github.com/Dhanush45/Realtime-emotion-detectionusing-python

Наш телеграм канал - tglink.me/ai_machinelearning_big_data

🔗 Building a Real Time Emotion Detection with Python
In this article, we will discuss creating a Python program to detect real-time emotion of a human being using the camera.

🎥 Машинное обучение 2, ПМИ — лекция 13
👁 4 раз ⏳ 4216 сек.
Лекция по ранжированию и обобщённым линейным моделям

Преподаватель — Евгений Соколов

Курс "Машинное обучение 2", программа "Прикладная математика и информатика", НИУ ВШЭ

​Распознавание документов и лиц: объединение во имя свободы или шаг к цифровой диктатуре?

🔗 Распознавание документов и лиц: объединение во имя свободы или шаг к цифровой диктатуре?
Распространение по миру вируса COVID-19 вызвало резкое изменение паттернов потребительского поведения. В условиях роста панических настроений и предписаний соблю...

​Автор статьи рассказывает об устройстве некоторых моделей машинного обучения.

https://towardsdatascience.com/machine-learning-models-explained-to-a-five-year-old-f2f540d9dcea

🔗 Machine Learning Models Explained to a Five-year-old
Explaining How ML Models Work as Simply as I Can

​Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used) http://pjreddie.com/darknet/

https://github.com/AlexeyAB/darknet
Наш телеграм канал - tglink.me/ai_machinelearning_big_data

🔗 AlexeyAB/darknet
Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used) - AlexeyAB/darknet

​2020 Vision on a Data Science Bootcamp Experience

🔗 2020 Vision on a Data Science Bootcamp Experience
On the learning experience at Metis Bootcamp, Remote format — Pre, During, and Post

🎥 How to convert text to speech using API | AWS | AI | Deep Learning
👁 1 раз ⏳ 3321 сек.
At Aleta Software Labs our goal is to achieve deep connection between AI and Human Beings.
.
.
In this tutorial the text to speech conversion is done by the Deep Learning model provided by
the AWS. And the service offered by the AWS accordingly is called as Amazon Polly.
The wide range TTS is yet to come . This is only a glimpse of how to make it working.
Using Amazon Polly these type of applications can be brought to production level within a matter of hours.
Lambda Functions available in the following li

🎥 Top 10 Algorithms in Data Mining (2008)
👁 1 раз ⏳ 706 сек.
WEBSITE: databookuw.com

This lecture highlights the top 10 algorithms of data mining circa 2008. This includes a variety of supervised and unsupervised methods and precedes the deep neural network revolution circa 2012.

🎥 Football Video Analysis Using Deep Learning
👁 2 раз ⏳ 2116 сек.
The talk will present how to combine classical computer vision techniques with deep learning methods to automate analysis of football videos. It'll cover efficient methods for ball and player detection and recognition in long shot video coverage of football games.


EVENT:
PyData Warsaw 2019


SPEAKER:
Jacek Komorowski


PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks


CREDITS:
PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7

🎥 Studying software evolution using topic models
👁 1 раз ⏳ 3331 сек.
Тематическое моделирование широко применяется в самых различных областях науки и ставит перед собой задачу выделения оределённых «тем» в наборе текстовых документов. Традиционно оно связано с естественными языками, но может быть успешно применено и для кода. Кроме моделирования тем в статике, темы часто моделируются в динамике — это используется, например, для визуализации изменений в тематике научных журналов, популярности научных статей на определённые темы или даже для отслеживания популярности новостей

​Identifying Sellers of Illicit Narcotics on Soundcloud.com Using Latent Dirichlet Allocation

🔗 Identifying Sellers of Illicit Narcotics on Soundcloud.com Using Latent Dirichlet Allocation
Topic Modeling of Soundcloud.com Comments using PyCaret

​What’s new for Transformers at the ICLR 2020 Conference?

🔗 What’s new for Transformers at the ICLR 2020 Conference?
Transformers are attention-based neural architectures that propelled the field of NLP to new highs after their introduction. The…

🎥 Build and deploy PyTorch models with Azure Machine Learning
👁 1 раз ⏳ 3777 сек.

🎥 Solving PDEs with the FFT, Part 2 [Python]
👁 1 раз ⏳ 924 сек.
This video continues to show how to solve PDEs with the FFT in Python.

Book Website: http://databookuw.com
Book PDF: http://databookuw.com/databook.pdf

These lectures follow Chapter 2 from:
"Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz

Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098/

Brunton Website: eigensteve.com

​«Большой брат» на службе добра. Как сборщики данных и программатик-компании помогают в борьбе с коронавирусом

🔗 «Большой брат» на службе добра. Как сборщики данных и программатик-компании помогают в борьбе с коронавирусом
Крупнейший в мире агрегатор и продавец данных о пользователях вышел из тени и стал активным участником медиадавления по поводу опасности коронавируса. Он помогае...

🎥 Машинное обучение. Семинар 6. Shap values
👁 3 раз ⏳ 4290 сек.
Лекции по машинному обучению: https://www.youtube.com/playlist?list=PL4_hYwCyhAvZyW6qS58x4uElZgAkMVUvj
Семинары по машинному обучению: https://www.youtube.com/playlist?list=PL4_hYwCyhAvYPOWn6e44RKxEfRWEsPA1z

Монтаж: Роман Климовицкий