🎥 Private Cloud со вкусом Public (Дмитрий Лазаренко, Mail.ru Cloud Solutions)
👁 1 раз ⏳ 833 сек.
Запись выступления «Private Cloud со вкусом Public: как это видят интернет-гиганты» — Дмитрий Лазаренко, директор по продукту Mail.ru Cloud Solutions https://mcs.mail.ru, рассказывает о платформе для построения частного облака Mail.ru Private Cloud https://mcs.mail.ru/private-cloud/ и других сервисах Mail.ru Group для бизнеса.

Виртуализация и облака давно на слуху и в обиходе практически любой компании. Все давно научились применять их для решения повседневных задач, но эпоха цифровой трансформации требует

​Nvidia’s New Data Science Workstation — a Review and Benchmark

🔗 Nvidia’s New Data Science Workstation — a Review and Benchmark
Data science is hot.

​Neural Network Optimization

🔗 Neural Network Optimization
Covering optimizers, momentum, adaptive learning rates, batch normalization, and more.

🎥 2019 Van Horn Distinguished Lectures: 3: machine learning of materials structure & synthesis
👁 1 раз ⏳ 4787 сек.
2019 Van Horn Distinguished Lectures: Part 3 - machine learning of materials structure and synthesis.

The Kent R. van Horn Lectureship is an endowed Lectureship at the Case Western Reserve University and dates from 1974. It honours Kent R. van Horn, an alum, who had a distinguished career as a metallurgist, director of research, and ultimately corporate vice-president of Alcoa. Three lectures on varied topics are to be delivered over three successive days. The 2019 lectures were delivered by Gerbrand Cede

Boosting Machine Learning Tutorial | Adaptive Boosting, Gradient Boosting, XGBoost
https://www.youtube.com/watch?v=kho6oANGu_A

🎥 Boosting Machine Learning Tutorial | Adaptive Boosting, Gradient Boosting, XGBoost | Edureka
👁 1 раз ⏳ 1278 сек.
** Machine Learning Certification Training using Python: https://www.edureka.co/python **
This Edureka session will help you understand all about Boosting Machine Learning and boosting algorithms and how they can be implemented to increase the efficiency of Machine Learning models.
The following topics are covered in this session:
01:02 Why Is Boosting Used?
03:47 What Is Boosting?
07:22 How Boosting Algorithm Works?
10:04 Types Of Boosting
14:56 Demo

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Se

​Understanding Cancer using Machine Learning

🔗 Understanding Cancer using Machine Learning
Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis.

​Foundations of Machine Learning

🔗 Foundations of Machine Learning

​Predicting Bus Delays with Machine Learning

http://ai.googleblog.com/2019/06/predicting-bus-delays-with-machine.html

🔗 Predicting Bus Delays with Machine Learning
Posted by Alex Fabrikant, Research Scientist, Google Research Hundreds of millions of people across the world rely on public transit for...

​Machine Learning Cheat Sheet — Unsupervised Learning

🔗 Machine Learning Cheat Sheet — Unsupervised Learning
K-Means Clustering

🎥 Виктор Кандоба, Светлана Завьялова. Робот на линии - автоматизируем поддержку с помощью речевых т
👁 1 раз ⏳ 1961 сек.
- С чего начать внедрение речевых технологий и как продать это бизнесу?
- Из чего состоит голосовой сервис, какие есть инструменты?
- Что разрабатывать самостоятельно, а что лучше переиспользовать, в каком порядке?
- Как выбрать сценарии и проводить эксперименты?

О чем расскажем:
- ASR и TTS. Облачные и back'end технологии, MRСP и API, подводные камни
- Сценарии диалога. С чего начали, как они выглядят в коде, какие данные собирали
NLU. От ключевых слов к машинному обучению
- Результаты. Что получило

🎥 Lesson 13 (2019) - Basics of Swift for Deep Learning
👁 1 раз ⏳ 7970 сек.
NB: Please view videos through course.fast.ai for full notes, searchable transcripts, etc. Please use forums.fast.ai for all questions - don't ask questions in the youtube comments section!

We've just completed building much of the fastai library for Python from scratch. Now we're going to try to repeat the process for Swift! These next two lessons are co-taught by Jeremy along with Chris Lattner, the original developer of Swift, and the lead of the Swift for TensorFlow project at Google Brain.

In today's

​MBA to IBM Data Scientist: Exclusive Interview with Greg Rafferty

🔗 MBA to IBM Data Scientist: Exclusive Interview with Greg Rafferty
TDS talks with Lead Data Scientist at IBM on company’s workflow, internal NLP projects, and getting the first data science job.

🎥 Convolutional Neural Network Tutorial (CNN) | Convolutional Neural Networks With TensorFlow
👁 1 раз ⏳ 7138 сек.
🔥Intellipaat Artificial Intelligence Engineer Master's Course: https://intellipaat.com/artificial-intelligence-masters-training-course/
In this convolutional neural network tutorial you will learn what is convolutional neural networks, various layers in convolutional neural networks with tensorflow and a demo on demo on convolutional neural networks with keras in detail.
#ConvolutionalNeuralNetworkTutorial #ConvolutionalNeuralNetworksWithTensorFlow

📌 Do subscribe to Intellipaat channel & get regular updat

​Positive or Negative? Spam or Not-spam? A simple Text classification problem using Python

🔗 Positive or Negative? Spam or Not-spam? A simple Text classification problem using Python
Do you know how your favorite Email service providers classify the emails you receive as spam or not-spam? It uses text classification to…

​Decision Tree Regression Simplest Example using Python | Machine Learning

🔗 Decision Tree Regression Simplest Example using Python | Machine Learning
How does a Decision tree work on a continous target variable i.e. for a regression variable?
How does it find the point for split?

In this video, I explain how a decision tree regression works. I hope you like it.

Link to the notebook : https://github.com/bhattbhavesh91/decision_tree_regression/blob/master/dt_regression.ipynb

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.

If you enjoy these tutorials &

https://www.youtube.com/watch?v=oQcAKvBFli8\

🎥 Recognizing Multiple Images with YOLO Darknet (6.5)
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Darknet YOLO is a pretrained neural network that you can use to recognize multiple items in the same image. This recognition can be performed on a single image or on a live video stream. This video shows you how to setup and use YOLO for use with Keras and Python.

Code for This Video:
https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class06_cnn.ipynb

Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/

Follow Me/Subscribe:
https://www.youtube.com/user/HeatonResearch
http

​How to Understand the Universe When You’re Stuck Inside of It

🔗 How to Understand the Universe When You’re Stuck Inside of It
Lee Smolin’s radical idea to reimagine how we view the universe.

🎥 AWS DeepRacer TV - Ep 3 London
👁 1 раз ⏳ 1113 сек.
Learn more about AWS DeepRacer League at – https://amzn.to/2WgrNNU
AWS DeepRacer TV follows the world’s first global autonomous racing league, an AWS / Intel-sponsored machine learning competition that features developers of every background and skill level hoping to qualify for a chance to win the Championship Cup at AWS re:Invent 2019. Build, Train, Tune, Race!

✅Watch all DeepRacer TV: https://amzn.to/deepracer-league
✅View the Leaderboard: https://amzn.to/deepracer-leaderboard
✅Attend a Summit Event: ht

Generating Diverse High-Fidelity Images with VQ-VAE-2

https://arxiv.org/pdf/1906.00446.pdf

🎥 "Искусственный интеллект: нейросети как инструмент искусства" | Александр Буренков
👁 1 раз ⏳ 4444 сек.
Александр Буренков прочитает лекцию "Искусственный интеллект: нейросети как инструмент искусства" в Nike Box MSK.

Организаторы: Nike Box MSK и агентство культурных проектов N.A.D.O. ( https://www.nike.com/events-registration/event?id=122172 )
Информационный партнер: Курилка Гутенберга ( https://www.youtube.com/c/КурилкаГутенберга )

Может ли искусственный интеллект соревноваться с человеческим в области творчества? Как технологии искусственного интеллекта и машинного обучения применяются в поле современног