Дмитрий Меньшиков запустил канал по фин. грамотности, где расказывает как эффективно хранить и инвестировать деньги, как легально открыть счет в иностранном банке и прочее. Вообщем рекомендую!
https://teleg.eu/FinVam
https://teleg.eu/FinVam
Telegram
💎ФинВам
ФинВам - путеводитель в мир финансовой грамотности для каждого. Уникальные знания которые не даст никто другой.
Требуется помощь экспертов в сфере экономики и финансов? Есть нерешенный вопрос? Видите автора в набсовете вашей компании? Пишите @FinVamBot
Требуется помощь экспертов в сфере экономики и финансов? Есть нерешенный вопрос? Видите автора в набсовете вашей компании? Пишите @FinVamBot
Quarantine is the best time to learn something new. 20% discount on the practical online course - Object Detection with PyTorch.
https://learnml.today/c/covid19
https://learnml.today/c/covid19
learnml.today
Learn ML Today - Object Detection with PyTorch Course
This course is designed by Machine Learning Engineer with the aim to create experts in Object Detection. You will build complex models by 'learn by doing' style through the applied theme of Advanced Computer Vision Techniques.
Hey fellas!
For those who're bored at home, for those who want to see friends and talk to them, the chance is right here.
Let's meet at ML meetup, which will take place in virtual reality. All you need is a computer, VR-headsets aren't required. You'll log in, set up the avatar, select the seat, and will appear in the conference room, surrounded by all the folks from regular ML meetups. You'll be able to start a tet-a-tet chat, take photos/videos, hang out with friends during the afterparty and do some stuff from real life.
https://www.facebook.com/events/1871332413001282/
WHO'S GONNA SPEAK?
👨💻 Stepan Maksymchuk - CD4ML using Kubeflow and GitHub Actions
Continuous Delivery for Machine Learning (CD4ML) is a software engineering approach in which a cross-functional team produces machine learning applications based on code, data, and models in small and safe increments that can be reproduced and reliably released at any time, in short adaptation cycles.
Meet Stepan Maksimchuk from Ventus Cloud AG and learn how GitHub Actions and Kubeflow can be used together to implement the full end-to-end process for a sample ML application.
👨💻 Paul Galushko - What an ML engineer should know to deploy successful services to production
How can an ML model remain useful without becoming a mathematical puzzle? We’ll talk about ravines that are not obvious from the jupyter notebook.
For ML to become a real service, we’ll cover the following:
- Production hardware
- Cost of the service
- Deployment of ML and services, their delivery to users
- Mass re-learning of models, if their number exceeds 3
- Common issues for high-load services
- Design principles of industrial development, that help you live in harmony with yourself, your code, your colleges, and not to be afraid to go out even after quarantine.
https://www.facebook.com/events/1871332413001282/
For those who're bored at home, for those who want to see friends and talk to them, the chance is right here.
Let's meet at ML meetup, which will take place in virtual reality. All you need is a computer, VR-headsets aren't required. You'll log in, set up the avatar, select the seat, and will appear in the conference room, surrounded by all the folks from regular ML meetups. You'll be able to start a tet-a-tet chat, take photos/videos, hang out with friends during the afterparty and do some stuff from real life.
https://www.facebook.com/events/1871332413001282/
WHO'S GONNA SPEAK?
👨💻 Stepan Maksymchuk - CD4ML using Kubeflow and GitHub Actions
Continuous Delivery for Machine Learning (CD4ML) is a software engineering approach in which a cross-functional team produces machine learning applications based on code, data, and models in small and safe increments that can be reproduced and reliably released at any time, in short adaptation cycles.
Meet Stepan Maksimchuk from Ventus Cloud AG and learn how GitHub Actions and Kubeflow can be used together to implement the full end-to-end process for a sample ML application.
👨💻 Paul Galushko - What an ML engineer should know to deploy successful services to production
How can an ML model remain useful without becoming a mathematical puzzle? We’ll talk about ravines that are not obvious from the jupyter notebook.
For ML to become a real service, we’ll cover the following:
- Production hardware
- Cost of the service
- Deployment of ML and services, their delivery to users
- Mass re-learning of models, if their number exceeds 3
- Common issues for high-load services
- Design principles of industrial development, that help you live in harmony with yourself, your code, your colleges, and not to be afraid to go out even after quarantine.
https://www.facebook.com/events/1871332413001282/
[email protected]
2.7 MB
Machine translation of cortical activity to text with an encoder–decoder framework
Data analytics and AI in turbulent times. Opportunities for all of us
April 6, 2020
19:00
Report language: Ukrainian
On 6th April Oleksandr Romanko will host a webinar where he will share with you opportunities in times of crisis, how to use data analytics and artificial intelligence to model the spread of coronavirus and more.
All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Price for one ticket = product set.
You can help thousands of Ukrainian pensioners stay home and buy more by the link — https://bit.ly/2WOWM7M
Registration >>> https://bit.ly/3bJ37Wo
10% discount: MLWorld
April 6, 2020
19:00
Report language: Ukrainian
On 6th April Oleksandr Romanko will host a webinar where he will share with you opportunities in times of crisis, how to use data analytics and artificial intelligence to model the spread of coronavirus and more.
All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Price for one ticket = product set.
You can help thousands of Ukrainian pensioners stay home and buy more by the link — https://bit.ly/2WOWM7M
Registration >>> https://bit.ly/3bJ37Wo
10% discount: MLWorld
Why do generative models (not) work? Online meetup
April 7, 2020
19:00
Report language: Russian
In early April, Philipp Kofman will hold an online meetup to share basic knowledge of simple generative models, show how they work and develop your intuition. All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Price for one ticket = product set. You can help thousands of Ukrainian pensioners stay home and buy more by the link — https://bit.ly/2WOWM7M
Registration >>> https://bit.ly/3ajKXKu
10% discount: MLWorld
April 7, 2020
19:00
Report language: Russian
In early April, Philipp Kofman will hold an online meetup to share basic knowledge of simple generative models, show how they work and develop your intuition. All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Price for one ticket = product set. You can help thousands of Ukrainian pensioners stay home and buy more by the link — https://bit.ly/2WOWM7M
Registration >>> https://bit.ly/3ajKXKu
10% discount: MLWorld
Завтра в 20:00 GMT+2 будет стрим с моим участием
Я расскажу об образовании в ИТ, Хайринге и Построении личного бренда. И как собсно получать приглосы в проекты от топовых вузов мира и не только (если конечно вы не хотите всю жизнь работать на колбасу)
https://www.youtube.com/channel/UC3zViLIJq5Rz5tw40-CawoQ/live
Я расскажу об образовании в ИТ, Хайринге и Построении личного бренда. И как собсно получать приглосы в проекты от топовых вузов мира и не только (если конечно вы не хотите всю жизнь работать на колбасу)
https://www.youtube.com/channel/UC3zViLIJq5Rz5tw40-CawoQ/live
Тут в последнее время у меня часто начали спрашивать за онлайн курсы по Python. По этому я потратил немного времени что бы найти курс, который, по моему мнению, дает хороший базовый уровень что бы можно было врываться в реальную разработку и дальнейший рост.
Короче рекомендую!
Короче рекомендую!
New State-Of-The-Art in a photo to 3d reconstruction inpainting
https://github.com/vt-vl-lab/3d-photo-inpainting
https://github.com/vt-vl-lab/3d-photo-inpainting
GitHub
GitHub - vt-vl-lab/3d-photo-inpainting: [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting - vt-vl-lab/3d-photo-inpainting
If you still didn't try a new 3d inpainting model you can try it now
https://colab.research.google.com/drive/1706ToQrkIZshRSJSHvZ1RuCiM__YX3Bz
https://colab.research.google.com/drive/1706ToQrkIZshRSJSHvZ1RuCiM__YX3Bz
Google
3D-Photo-Inpainting.ipynb
Colaboratory notebook
Business aspects of data science, Online meetup
April 21, 2020
19:00 - 20:00
Report language: Russian
On 21th April Nika Tamaio Flores will hold an online meetup to share with you business aspects of data science:
what types of tasks exist in terms of business and their relation to typical machine learning tasks;
how technical specialist can decompose a business task;
typical mistakes made by developers when they engage with business;
why you should not neglect business analysis in Data Science projects.
All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Price for one ticket = product set.
Registration >>> https://bit.ly/3egsvos
10% discount: MLWorld
April 21, 2020
19:00 - 20:00
Report language: Russian
On 21th April Nika Tamaio Flores will hold an online meetup to share with you business aspects of data science:
what types of tasks exist in terms of business and their relation to typical machine learning tasks;
how technical specialist can decompose a business task;
typical mistakes made by developers when they engage with business;
why you should not neglect business analysis in Data Science projects.
All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Price for one ticket = product set.
Registration >>> https://bit.ly/3egsvos
10% discount: MLWorld
For those who still not clear in how backpropagation works, and how we can build Autograd(like in PyTorch), I've built a simple tutorial https://learnml.today/making-backpropagation-autograd-mnist-classifier-from-scratch-in-Python-5
learnml.today
Making Backpropagation, Autograd, MNIST Classifier from scratch in Python - LearnML.Today
Simple practical examples to give you a good understanding of how all this NN/AI things really work