​Top Examples of Why Data Science is Not Just .fit().predict()

https://towardsdatascience.com/top-examples-of-why-data-science-is-not-just-fit-predict-ce7a13ef7663

🔗 Top Examples of Why Data Science is Not Just .fit().predict()
In this post, I’m going to review some of the top concepts I learned that turned me from a technical data scientist to a good data…

🎥 Обучение машинному обучению и анализу данных утром, днём, вечером, ночью, Алексей Толстиков

https://habr.com/company/piter/blog/432984/

Машинное обучение с Node.js при помощи библиотеки Tensorflow.js

#machinelearning #neuralnets #deeplearning #машинноеобучение

Наш телеграмм канал - https://yangx.top/ai_machinelearning_big_data

​Data Scientist Job, Career & Salary | Data Scientist Salary | Data Science Masters Program | Edureka

🔗 Data Scientist Job, Career & Salary | Data Scientist Salary | Data Science Masters Program | Edureka
** Data Scientist Master Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka "Data Science Jobs, Careers and Salarie...

XGBoost is not black magic
https://towardsdatascience.com/xgboost-is-not-black-magic-56ca013144b4?source=collection_home---4------0---------------------

​Deep-learning the landscape

🔗 Deep-learning the landscape
Yang-Hui He City, University of London, UK

​AI / Deep Learning for the EDA/Semiconductor Industry

🔗 AI / Deep Learning for the EDA/Semiconductor Industry
NVIDIA and NetApp present AI and Deep Learning for the EDA/Semiconductor industry, featuring special guest speaker Dr. Handel Jones, CEO of International Bus...

​New awesome GAN paper

https://arxiv.org/abs/1812.04948

🔗 [1812.04948] A Style-Based Generator Architecture for Generative Adversarial Networks

​A Style-Based Generator Architecture for Generative Adversarial Networks

🔗 A Style-Based Generator Architecture for Generative Adversarial Networks
Paper (PDF):
http://stylegan.xyz/paper

Authors:
Tero Karras (NVIDIA)
Samuli Laine (NVIDIA)
Timo Aila (NVIDIA)

Abstract:
We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature. The new architecture leads to an automatically learned, unsupervised separation of high-level attributes (e.g., pose and identity when trained on human faces) and stochastic variation in the generated images (e.g., freckles, hair), and it enables intuitive, scal

🎥 Applying Deep Learning in healthcare by Florin Manaila
👁 1 раз ⏳ 427 сек.
Welcome to this video in the PowerAI series.
Meet Florin Manaila from IBM Systems sharing how Architecting AI solutions can accelerate Breast Cancer Detection using Deep Learning.
#IBMsystems #IBMPowersystems

​QuantNet открыли вакансию Cryptocurrency Developer (Blockchain, Ethereum, Smart Contract). Филиалы в Москве и Санкт-Петербурге на выбор.
Детали этой и других вакансий компании можно посмотреть в группе QuantNet в обсуждениях, или на сайте quantnet.ai
#вакансии #вакансия@quantnetrussia #QNet_job #QuantNet #FinTech #cryptocurrency #blockchain

🔗 Вакансия: Cryptocurrency Developer
Article

Running with Trained Model - Deep Learning in Halite AI competition p.6

🎥 Running with Trained Model - Deep Learning in Halite AI competition p.6

Kuzushiji-MNIST - Japanese Literature Alternative Dataset for Deep Learning Tasks
https://towardsdatascience.com/kuzushiji-mnist-japanese-literature-alternative-dataset-for-deep-learning-tasks-d48ae3f5395b?source=collection_home---4------1---------------------

https://habr.com/post/433182/

Может ли обучить с подкреплением агента для торговли на рынке акций? Реализация на языке R

#machinelearning #neuralnets #deeplearning #машинноеобучение

Наш телеграмм канал - https://yangx.top/ai_machinelearning_big_data

​Rails Reactor Lecture - Recommendation System. Right now online https://www.facebook.com/RailsReactor/videos/2263385110398870/UzpfSTE2MTYyODUzNTUzNDE4NTQ6Vks6MjAwNzc1NTc3Mjg1MzUwOA/?acontext=%7B%22ref%22%3A%2229%22%2C%22ref_notif_type%22%3A%22admin_plan_mall_activity%22%2C%22action_history%22%3A%22null%22%7D&notif_id=1544807988939694&notif_t=admin_plan_mall_activity

🔗 Rails Reactor
Ihor Kroosh speaks about Recommender Systems.

To watch more videos like this and to be notified when new metups are announced, follow us:
https://www.facebook.com/RailsReactor/
and interact with...

Text Summarization on the Books of Harry Potter
https://towardsdatascience.com/text-summarization-on-the-books-of-harry-potter-5e9f5bf8ca6c?source=collection_home---4------0---------------------

​Useful thing for in-painting task
https://github.com/NVIDIA/partialconv

🔗 NVIDIA/partialconv
A New Padding Scheme: Partial Convolution based Padding - NVIDIA/partialconv

​Facebook has released #PyText — new framework on top of #PyTorch.

This framework is build to make it easier for developers to build #NLP models.

Link: https://code.fb.com/ai-research/pytext-open-source-nlp-framework/

🔗 Open-sourcing PyText for faster NLP development
We are open-sourcing PyText, a framework for natural language processing. PyText is built on PyTorch and it makes it faster and easier to build deep learning models for NLP.

​New book by Andrew Ng

Drawn from his experience leading Google Brain, Baidu's AI Group, and Landing AI, this 5-step Playbook provides a roadmap for your company to transform into a great AI company.

Site: https://landing.ai/ai-transformation-playbook
Direct link: https://d6hi0znd7umn4.cloudfront.net/content/uploads/2018/12/AI-Transformation-Playbook.pdf

#book

🔗 AI Transformation Playbook How to lead your company into the AI era - Landing AI

​Трудности создания Open Source Machine Learning библиотеки на примере Apache Ignite ML

🔗 Трудности создания Open Source Machine Learning библиотеки на примере Apache Ignite ML
Доклад для тех кому интересно машинное обучение, написание библиотек для open source, распределенные вычисления и задачи, которые приходится решать в ходе ра...