Periodicity in Cryptocurrency Volatility and Liquidity #Cryptocurrency #Liquidity #Paper @Machine_learn

با عرض سلام دوستانی که نیاز به تهیه ی پکیچ ما دارند می تونن به ایدی بنده پیام بدن @Raminmousa . همچنین دوستانی که نیاز به مشاوره در رابطه با ابده های جدید ، کارهای عملی، پروپوزال و پایان نامه دارند می تونن با ایدی بنده یا شماره واتس اپ بنده 09333900804 در ارتباط باشند.

Deep Learning for disentangling Liquidity-constrained and Strategic Default #DL #Liquidity #Paper @Machine_learn

Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review

Github: https://github.com/Ildaron/Laser_control

Paper: https://www.mdpi.com/2072-4292/13/21/4486

@Machine_learn

🔹 LUMINOUS: Indoor Scene Generation for Embodied AI Challenges

Github: https://github.com/amazon-research/indoor-scene-generation-eai

Paper: https://arxiv.org/abs/2111.05527v1

Dataset: https://paperswithcode.com/dataset/ai2-thor

@Machine_learn

A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents

Github: https://github.com/extreme-classification/deepxml

Paper: https://arxiv.org/abs/2111.06685v1

Dataset: https://paperswithcode.com/dataset/extreme-classification

@Machine_learn

Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize


https://ai.googleblog.com/2021/12/improving-vision-transformer-efficiency.html

@Machine_learn

General and Scalable Parallelization for Neural Networks


https://ai.googleblog.com/2021/12/general-and-scalable-parallelization.html

@Machine_learn

🎓 GAN-Supervised Dense Visual Alignment

Github: https://github.com/wpeebles/gangealing

Project: https://www.wpeebles.com/gangealing

Paper: https://arxiv.org/abs/2112.04894v1

Dataset: https://paperswithcode.com/dataset/celeba

@Machine_learn

🕷 Bayesian Active Learning (BaaL)

Github: https://github.com/ElementAI/baal

Documentation: https://baal.readthedocs.io.

Paper: https://arxiv.org/abs/2112.06586v1

Blog: https://www.elementai.com/news/2019/element-ai-makes-its-bayesian-active-learning-library-open-source

@Machine_learn

با عرض سلام دوستانی که نیاز به تهیه ی پکیچ ما دارند می تونن به ایدی بنده پیام بدن @Raminmousa . همچنین دوستانی که نیاز به مشاوره در رابطه با ابده های جدید ، کارهای عملی، پروپوزال و پایان نامه دارند می تونن با ایدی بنده یا شماره واتس اپ بنده 09333900804 در ارتباط باشند.

Training Machine Learning Models More Efficiently with Dataset Distillation


https://ai.googleblog.com/2021/12/training-machine-learning-models-more.html

@Machine_learn

Cluster Analysis: Basic Concept #Clustering #book @Machine_learn

DATA CLUSTERING Algorithms and Applications #Clustering #Book @Machine_learn

Algorithms for Clustering Data #Book #Clustering @Machine_learn

I gladly announce my first online course on #Statistics and #Mathematics for #MachineLearning and #DeepLearning.

The course will be in English, QA sessions with instructor will be in Turkish, Azerbaijani , or English. TA sessions will be in English.

This is the first course of tribology courses to help attendees to capture foundations and mathematics behind ML,DL models.

The courses are listed as follow:
1. Statistics Foundation for ML
2. Introduction to Statistical Learning for ML
3. Advanced Statistical Learning for DL

The course starts on 15 Jan 2022, at 13:00 to 15:00 (Istanbul time):

Course Fee:
Free for unemployed attendees. :)
200 USD for employed candidates :).

Course contents:
https://lnkd.in/dcXKxUjE

Course Registration:
https://lnkd.in/dMpzMfMG

Please kindly share with the ones who are interested.