Telegram Web Link
bootg.com » United States » Machine learning books and papers » Telegram Web
Machine learning books and papers
Apress.Pro.Deep.Learning.pdf
15.9 MB
Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python (2023)
Author: Santanu Pattanayak
#book #DL #Book #2023

@Machine_learn
5.8K viewsRamin Mousa, edited  
Machine learning books and papers
Apress.Explainable.AI.Recipes.pdf
8.2 MB
Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python (2023)
Author: Pradeepta Mishra
#XAI #Ai #DL #Python
#2023
@Machine_learn
5.3K viewsRamin Mousa, edited  
Machine learning books and papers
OReilly.Python.in.a.Nutshell.pdf
5.8 MB
Python in a Nutshell: A Desktop Quick Reference, 4th Edition (2023)
Author: Alex Martelli
#book #python #2023

@Machine_learn
5.4K viewsRamin Mousa, edited  
Machine learning books and papers
This media is not supported in your browser
VIEW IN TELEGRAM
#Ramadan mobarak

@Machine_learn
4.8K viewsRamin Mousa, 
Machine learning books and papers
Python Deep Learning.pdf
24 MB
Book: Python Deep Learning
Second Edition(Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow)
Authors: Ivan Vasilev,
Daniel Slater Gianmario ,Spacagna Peter, and Roelants Valentino Zocca
ISBN: 978-1-78934-846-0
year: 2019
pages: 379
Tags: #Python #Tensorflow #Keras #DL
@Machine_learn
5.9K viewsRamin Mousa, edited  
Machine learning books and papers
Data-Mining-in-Python.pdf
12.8 MB
Book: DATA MINING
FOR BUSINESS ANALYTICS(Concepts, Techniques, and Applications in Python)
Authors: GALIT SHMUELI, PETER C., BRUCE PETER, and GEDECK NITIN R. PATEL
ISBN: Null
year: 2019
pages: 681
Tags: #Python #datamining #business
@Machine_learn
6.5K viewsRamin Mousa, edited  
Machine learning books and papers
Machine learning books and papers pinned Deleted message
Machine learning books and papers
lecun-20230324-nyuphil.pdf
30.5 MB
Slide: Do large language models need sensory grounding for meaning and understanding
Supervised learning (SL)
Reinforcement learning (RL)
Self-Supervised Learning (SSL)
year:2023
pages:38
tags: #DL #ML #SL #RL #SSL
@Machine_learn
5.5K viewsRamin Mousa, edited  
Machine learning books and papers
⭐️Title: HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace

🖥 Github: https://github.com/microsoft/JARVIS

⏩ Paper: https://arxiv.org/abs/2303.17604v1

@Machine_learn
5.1K viewsRamin Mousa, edited  
Machine learning books and papers
Designing Machine Learning Systems.pdf
10 MB
Book: Designing Machine Systems An Iterative Process for Production-Ready Applications
Authors: Chip Huyen
ISBN: 978-1-098-10796-3
year: 2022
pages: 463
Tags: #Python #datamining #ML
@Machine_learn
5.2K viewsRamin Mousa, edited  
Machine learning books and papers
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

Propose a three-stage processing pipeline for filtering noisy data and generating high-quality captions, where ChatGPT.
🖥 Github: https://github.com/xinhaomei/wavcaps

⏩ Paper: https://arxiv.org/abs/2303.17395v1

🧱Dataset: https://paperswithcode.com/dataset/sounddescs

@Machine_learn
4.6K viewsRamin Mousa, edited  
Machine learning books and papers
Algorithms_for_Decision_Making_Mykel_J_Kochenderfer,_Tim_A_Wheeler.pdf
8 MB
Book: Algorithms for Decision Making
Authors: Mykel J. Kochenderfer, Tim A.Wheeler, and Kyle H. Wray
ISBN: Null
year: 2022
pages: 690
Tags: #Decision_Making #NN #LR
@Machine_learn
4.8K viewsRamin Mousa, edited  
Machine learning books and papers
TM-Vector Else١.pdf
1.8 MB
Title: TM-vector: A Novel Forecasting Approach for Market stock movement with a Rich Representation of Twitter and Market data
Arxiv link: https://arxiv.org/abs/2304.02094
Authors: Faraz Sasani, @RaminMousa, Ali Karkehabadi, Samin Dehbashi, Ali Mohammadi
doi: https://doi.org/10.48550/arXiv.2304.02094

@Machine_learn
4.5K viewsRamin Mousa, edited  
Machine learning books and papers
AW.Pandas.for.Everyone.Python.Data.Analysis.pdf
75.1 MB
Book: Pandas for Everyone
Authors: D A N I E L Y. C H E N
ISBN: 978-0-13-789115-3
year: 2023
pages: 1148
Tags: #Pandas #python
@Machine_learn
5.1K viewsRamin Mousa, edited  
Machine learning books and papers
Instruction Tuning with GPT-4

First attempt to use GPT-4 to generate instruction-following data for LLM finetuning.

🖥 Github: https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM

⏩ Paper: https://arxiv.org/abs/2304.03277v1

⏩ Project: https://instruction-tuning-with-gpt-4.github.io/

@Machine_learn
4.6K viewsRamin Mousa, edited  
Machine learning books and papers
با عرض سلام موضوعاتی‌که برای‌مقالات به دوستان پیشنهاد میکنم رو در ادامه اوردم .
#کریپتو_کارنسی
۱- ارائه رویکرد ترکیبی برای پیش بینی عدم نقدشوندگی‌کریپتوکارنسی(رگرسیونی/طبقه بندی)
۲-استفاده از اطلاعات تحلیل‌احساس و اطلاعات هش ریت در پیش بینی قیمت کریپتو کارنسی
#ترافیک_شبکه
۳-استفاده از یادگیری فدرالی برای پیش بینی جریان بسته
۴-استفاده از رویکردهای همگن و غیر همگن fusion برای طبقه بندی ترافیک شبکه
۵- استفاده از رویکردهای complex valued neural net‌برای پیش بینی جریان بسته
#تصویر_متن
در کل میشه بالا ۱۰۰ پروژه در این حوزه تعریف کرد و بسته به دیتاهای متفاوت میشه از رویکردهای مبتنی بر fusion, transformer, capsule,.... استفاده کرد.

سوالیم داشتین در خدمتم

@Raminmousa
4.6K viewsRamin Mousa, edited  
Machine learning books and papers
⚜️ OpenAGI: When LLM Meets Domain Experts

Reinforcement Learning from Task Feedback (RLTF) mechanism, which uses the task-solving result as feedback to improve the LLM's task-solving ability


!git clone https://github.com/agiresearch/OpenAGI.git

🖥 Github: https://github.com/agiresearch/openagi

⏩ Paper: https://arxiv.org/pdf/2304.04370.pdf

⭐️ Dataset: https://drive.google.com/drive/folders/1AjT6y7qLIMxcmHhUBG5IE1_5SnCPR57e?usp=share_link

@Machine_learn
5.2K viewsRamin Mousa, 
Machine learning books and papers
Apress.Applied.Recommender.Systems.with.Python.pdf
12.3 MB
Book: Applied Recommender Systems with Python
Authors: Akshay Kulkarni Adarsha ,Shivananda Anoosh Kulkarni
V, Adithya Krishnan
ISBN: 978-1-4842-8954-9
year: 2022
pages: 257
Tags: #Recommender_system #python
@Machine_learn
6.1K viewsRamin Mousa, edited  
Machine learning books and papers
This media is not supported in your browser
VIEW IN TELEGRAM
عيدكم مبارك
@Machine_learn
4.3K viewsRamin Mousa, 
Machine learning books and papers
Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment

🖥 Github: https://github.com/k-zha14/zoom-vqa

⏩ Paper: https://arxiv.org/pdf/2304.06440v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/imagenet

@Machine_learn
4.2K viewsRamin Mousa, edited  
2025/07/07 21:49:42
Back to Top
HTML Embed Code: