​Facebook Research at Interspeech 2019

https://ai.facebook.com/blog/facebook-research-at-interspeech-2019/

Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions

https://research.fb.com/publications/sequence-to-sequence-speech-recognition-with-time-depth-separable-convolutions/

Unsupervised Singing Voice Conversion

https://research.fb.com/publications/unsupervised-singing-voice-conversion/
Наш телеграм канал - tglink.me/ai_machinelearning_big_data

🔗 Facebook research at Interspeech 2019
Facebook is at Interspeech 2019! For those attending the conference in Graz, Austria this week, be sure to stop by booth F7 to connect with recruiters, researchers, and software engineers about speech research at Facebook. Learn more about Facebook Research at Interspeech in our blog..

​Обработка неструктурированных текстов
Поиск организация и манипулирование

В книге описаны инструменты и методы обработки неструктурированных текстов. Прочитав ее, вы научитесь пользоваться полнотекстовым поиском, распознавать имена собственные, производить кластеризацию, пометку, извлечение информации и автореферирование. Знакомство с фундаментальными принципами сопровождается изучением реальных применений.

Издание предназначено для читателей без подготовки в области математической статистики и обработки естественных языков. Примеры написаны на Java, но сами идеи могут быть реализованы на любом языке программирования.

📝 taming-text.pdf - 💾10 542 328

🎥 5 Beginner Friendly Steps to Learn Machine Learning
👁 7 раз ⏳ 822 сек.
This video breaks down practical steps on how to learning machine learning with Python. It's the video I wish I had watched when I started learning machine learning.

Blog post version of this video - https://danielbourke.ghost.io/5-beginner-friendly-steps-to-learn-machine-learning/

Other Links Mentioned (in order)

Step 1 - Learn Python, data science tools and machine learning concepts
Elements of AI - https://www.elementsofai.com/
Python for Everybody on Coursera - https://bit.ly/pythoneverybodycoursera

🎥 "Explainable AI: the apex of human and machine learning" by Baxter Eaves
👁 1 раз ⏳ 2492 сек.
Black Box AI technologies like Deep Learning have seen great success in domains like ad delivery, speech recognition, and image classification; and have even defeated the world's best human players in Go, Starcraft, and DOTA. As a result, adoption of these technologies has skyrocketed. But as employment of Black Box AI increases in safety-intensive and scientific domains, we are learning hard lessons about their limitations: they go wrong unexpectedly and are difficult to diagnose.

From these failures, a n

​30 Helpful Python Snippets That You Can Learn in 30 Seconds or Less
https://towardsdatascience.com/30-helpful-python-snippets-that-you-can-learn-in-30-seconds-or-less-69bb49204172

🔗 30 Helpful Python Snippets That You Can Learn in 30 Seconds or Less
Short Python snippets that you can quickly learn and use in your work or personal needs

🎥 Python Voice Assistant Tutorial #8 - Opening Programs/Applications
👁 1 раз ⏳ 570 сек.
In this python voice assistant tutorial I will be showing how to open programs from python code. Specifically we will open the program/application notepad and save a note that the user has instructed us to write down.

Text-Based Tutorial: Coming Soon...

*****
Enroll in The Fundamentals of Programming w/ Python
https://tech-with-tim.teachable.com/p/the-fundamentals-of-programming-with-python

Instagram: https://www.instagram.com/tech_with_tim
Website https://techwithtim.net
Twitter: https://twitter.com/Te

​Automating Machine Learning Models on AWS

🔗 Automating Machine Learning Models on AWS
Using AWS Lambda, S3 and EC2

​Deep Learning: Predicting Skin Cancer

🔗 Deep Learning: Predicting Skin Cancer
Build a Convolutional Neural Network using Keras on Python to recognize benign/malignant melanoma cells.

​Geocode with Python

🔗 Geocode with Python
How to Convert physical addresses to Geographic locations → Latitude and Longitude

​Getting Started With Bounding Box Regression In TensorFlow

🔗 Getting Started With Bounding Box Regression In TensorFlow
Bounding box regression could be your first wonderful step in the world of object detection.

🎥 PASS SUMMIT 2016 - Using Azure Machine Learning to Predict Consumer Price Index
👁 1 раз ⏳ 4094 сек.
Inflation is one of the economic phenomena that receive particular attention from public policy actors, because of its effects on the allocation of resources, the distribution of income, economic development, and on the wellbeing of societies. Therefore, having an early and reliable vision of inflation enables defining appropriate anti-inflationary policies to achieve stability in the purchasing power of currencies.

Through leveraging Azure+PowerBI resources for data scraping, analytics, and visualization,

​The largest publicly available language model: CTRL has 1.6B parameters and can be guided by control codes for style, content, and task-specific behavior.

code: https://github.com/salesforce/ctrl

article: https://einstein.ai/presentations/ctrl.pdf

https://blog.einstein.ai/introducing-a-conditional-transformer-language-model-for-controllable-generation/

🔗 salesforce/ctrl
Conditional Transformer Language Model for Controllable Generation (https://einstein.ai/presentations/ctrl.pdf) - salesforce/ctrl

​CQM — другой взгляд в глубоком обучении для оптимизации поиска на естественном языке

Краткое описание: Calibrated Quantum Mesh (CQM)— это следующий шаг от RNN / LSTM (Рекуррентные нейронные сети RNN (Recurrent Neural Networks) / Долгая краткосрочная память (Long short-term memory; LSTM) ). Появился новый алгоритм, называемый Calibrated Quantum Mesh (CQM), который обещает повысить точность поиска на естественном языке без использования размеченных данных обучения.
https://habr.com/ru/post/467529/

🔗 CQM — другой взгляд в глубоком обучении для оптимизации поиска на естественном языке
CQM — другой взгляд в глубоком обучении для оптимизации поиска на естественном языке Краткое описание: Calibrated Quantum Mesh (CQM)— это следующий шаг от RNN /...

​Google at Interspeech 2019

http://ai.googleblog.com/2019/09/google-at-interspeech-2019.html

Наш телеграм канал - tglink.me/ai_machinelearning_big_data

🔗 Google at Interspeech 2019
Andrew Helton, Editor, Google Research Communications This week, Graz, Austria hosts the 20th Annual Conference of the International Spee...

​Train and Deploy the Mighty BERT based NLP models using FastBert and AWS SageMaker

🔗 Train and Deploy the Mighty BERT based NLP models using FastBert and AWS SageMaker
Transformer models for Production — Train, Deploy, Repeat!!!

​Graduate Admission Prediction Using Machine Learning

🔗 Graduate Admission Prediction Using Machine Learning
Helping Students in Shortlisting Universities with Their Profiles

​Наш телеграм канал - tglink.me/ai_machinelearning_big_data

📝 Паттерсон Д., Гибсон А. - Глубокое обучение с точки зрения практика - 2018.pdf - 💾15 505 277

​Visualizing 100,000 Amazon Products

🔗 Visualizing 100,000 Amazon Products
Fast sentence embeddings (fse) enables you to compute sentence embeddings for millions of reviews in only a few minutes.