​🔗 DL_17: Handling Color Image in Neural Network aka Stacked Auto Encoders (Denoising)
This lecture will discuss how to handle (feed) color images into stacked Auto Encoders.

​🔗 Stop Learning Frameworks
We are developers. We need to stay up to date with technology. Every day, we learn programming languages, frameworks, and libraries. The more modern tools we know — the better. Keeping up to date with Angular, React, Vue, Riot, Ember, Knockout is fun. But we are wasting our time.

​ОТКРЫТА ВАКАНСИЯ В ИНТЕРНЕТЕ !!ЗАРПЛАТА С ПЕРВОГО ДНЯ!! ЕЖЕДНЕВНАЯ ОПЛАТА от 3000р!!!!Основные обязанности рассылка рекламы!!!ОСТАЛОСЬ ВСЕГО 2 МЕСТА!!!! ВСЕ ВОПРОСЫ Екатерине

Олег Чумаков (Luden.io) - Машинное обучение для разработчиков игр 2018

🎥 Олег Чумаков (Luden.io) - Машинное обучение для разработчиков игр 2018
👁 1 раз ⏳ 1530 сек.
http://www.authorstream.com/Presentation/DevGAMM-3654731-machine-learning-game-developers-2018/

В рамках доклада будут освещены основные события мира машинного обучения за последние 2 года (со времени последнего доклада на эту тему на DevGAMM Москва 2017). Что происходит, как мы можем использовать это в разработке, что уже почти готово и появится буквально завтра.

NLP from machine learning to deep learning language models

🎥 Razvan Pistolea AIception – NLP from machine learning to deep learning language models
👁 1 раз ⏳ 6566 сек.
Razvan Pistolea, CTO at AIception

“You can’t handle the truth!”
https://towardsdatascience.com/you-cant-handle-the-truth-transfer-learning-to-detect-memorable-movie-quotes-d2b5305062cd?source=collection_home---4------5---------------------

https://habr.com/company/dataschool/blog/434540/

Что делать с людьми, которых заменят роботы?

#machinelearning #neuralnets #deeplearning #машинноеобучение

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

Machine Learning With Python | Machine Learning Tutorial

🎥 Machine Learning With Python | Machine Learning Tutorial | Python Machine Learning | Simplilearn
👁 1 раз ⏳ 3332 сек.
This Machine Learning with Python tutorial gives an introduction to Machine Learning and how to implement Machine Learning algorithms in Python. By the end of this video, you will be able to understand Machine Learning workflow, steps to download Anaconda, types of Machine Learning and hands-on in Python for Linear Regression and K-Means clustering algorithms. Below are the topics covered in this Machine Learning tutorial:

1. Why Machine Learning? ( 01:09 )
2. Applications of Machine Learning ( 01:50 )
3.

​Enabling Interactive Python & R on Hadoop – David Carlson

🔗 Enabling Interactive Python & R on Hadoop – David Carlson
Python and R are popular tools for data scientists to generate insights using data stored in Hadoop, but they can be difficult to use with larger teams in an...

​Garrett Smith - Introduction to AI engineering | Code Mesh LDN 18

🔗 Garrett Smith - Introduction to AI engineering | Code Mesh LDN 18
This video was recorded at Code Mesh LDN 18 http://bit.ly/2P7SPII Get involved in Code Sync's next conference http://bit.ly/2Mcm4aS --- INTRODUCTION TO AI EN...

Merry Christmas and Happy New Year
https://towardsdatascience.com/merry-christmas-and-happy-new-year-2843fe6ee83f?source=collection_home---2------1---------------------

​​​Overview of current state of autonomously driving vehicle by Ben Evans.

Not so technical overview of where first autonomous vehicles will become commodity.

Link: https://www.ben-evans.com/benedictevans/2018/3/26/steps-to-autonomy

🔗 Steps to autonomy
We talk a lot about levels of autonomy, and ask when the first ‘fully autonomous’ cars will appear. That might be the wrong way to look at it - there will be lots of different kinds of ‘autonomy’, and the ‘where’ and ‘what’ may matter as much as the ‘when’.

TMPA School 2018 Saratov: Кластеризация дефектов в программном обеспечении

https://www.youtube.com/watch?v=AwL-WEeCRyY

🎥 TMPA School 2018 Saratov: Кластеризация дефектов в программном обеспечении (часть 1)
👁 2 раз ⏳ 3068 сек.
Анна Громова, кандидат технических наук, руководитель отдела анализа данных, Exactpro

Смотреть презентацию: https://speakerdeck.com/exactpro/klastierizatsiia-diefiektov-v-proghrammnom-obiespiechienii-bab4cebb-5f13-45ba-8e9c-365839545852

Продолжение: https://youtu.be/1_rjXXC9r5w
Дополнительные материалы: https://youtu.be/wNKgayqEt84

TMPA School 2018
Тестирование программного обеспечения, анализ данных и машинное обучение
https://school.tmpaconf.org/

35C3 - Introduction to Deep Learning

🎥 35C3 - Introduction to Deep Learning
👁 1 раз ⏳ 2467 сек.
https://media.ccc.de/v/35c3-9386-introduction_to_deep_learning



This talk will teach you the fundamentals of machine learning and give you a sneak peek into the internals of the mystical black box. You'll see how crazy powerful neural networks can be and understand why they sometimes fail horribly.

Computers that are able to learn on their own. It might have sounded like science-fiction just a decade ago, but we're getting closer and closer with recent advancements in Deep Learning. Or are we?

In this t

ART + AI — Generating African Masks using (Tensorflow and TPUs)
https://towardsdatascience.com/african-masks-gans-tpu-9a6b0cf3105c?source=collection_home---4------0---------------------

https://habr.com/company/piter/blog/434738/

Обучение с подкреплением на языке Python

​Scaling Uber’s Apache Hadoop Distributed File System for Growth

Post on how #Uber team handles #Hadoop challenges.

https://eng.uber.com/scaling-hdfs/

#BigData #HDFS

🔗 Scaling Uber’s Hadoop Distributed File System for Growth
Uber's Data Infrastructure team overhauled our approach to scaling our storage infrastructure by incorporating several new features and functionalities, including ViewFs, NameNode garbage collection tuning, and an HDFS load management service.

Naive Bayes Classifier | Naive Bayes Algorithm | Naive Bayes Classifier With Example

🎥 Naive Bayes Classifier | Naive Bayes Algorithm | Naive Bayes Classifier With Example | Simplilearn
👁 1 раз ⏳ 2625 сек.
This Naive Bayes Classifier tutorial video will introduce you to the basic concepts of Naive Bayes classifier, what is Naive Bayes and Bayes theorem, conditional probability concepts used in Bayes theorem, where is Naive Bayes classifier used, how Naive Bayes algorithm works with solved examples, advantages of Naive Bayes. By the end of this video, you will also implement Naive Bayes algorithm for text classification in Python.

The topics covered in this Naive Bayes video are as follows:

1. What is Naive

🎥 Recognize Text in Images with ML Kit on iOS (Firecasts)
👁 1 раз ⏳ 409 сек.
Lets help you apply machine learning to your iOS app. In this episode of Firecasts, Jen Person guides you through an example of how to detect, and recognize text in images using ML Kit. ML Kit beta brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. Find out how you can incorporate machine learning into your app with just a few lines of code! Stay tuned for the Android episode of recognizing text in images, and subscribe to the channel for more tutorials!