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1DataaKloudTexs | AI, ML, MLOps & Full Stack Training
Join DataaKloudTexs to learn AI, Machine Learning, MLOps and Java Full Stack with practical training, real-world projects, and industry-ready skills.
3 days ago by @kloudtexs
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AI
Bangalore
Course
DevOps
ML
AIBangaloreCourseDevOpsML
(0)
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1Hire AI Developers in UAE | Sapphire Software Solutions
Hire AI Developers in UAE from Sapphire Software Solutions and transform ideas into intelligent AI solutions that boost productivity, insights, and long-term growth.
20 days ago by @sapphiresoft123
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AI
Agent
Dedicated
Developers
Developers,
Generative
Hire
ML
Remote
UAE
UAE,
ai
developers
for
hire,
in
offshore
AIAgentDedicatedDevelopersDevelopers,GenerativeHireMLRemoteUAEUAE,aidevelopersforhire,inoffshore
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1Hire AI Developers in Australia | Sapphire Software Solutions
Ready to innovate? Hire AI Developers in Australia with Sapphire Software Solutions to create future-ready AI solutions that deliver real results.
20 days ago by @sapphiresoft123
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AI
Agent
Australia
Australia,
Dedicated
Developers
Developers,
For
Generative
Hire
ML
Remote
for
in
offshore
AIAgentAustraliaAustralia,DedicatedDevelopersDevelopers,ForGenerativeHireMLRemoteforinoffshore
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1Hire AI Developers in Germany | Sapphire Software Solutions
Looking to Hire AI Developers in Germany? Sapphire Software Solutions provides expert AI talent to build secure, scalable, and intelligent business solutions.
20 days ago by @sapphiresoft123
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AI
Agent
Dedicated
Developers
Developers,
For
Generative
Germany
Germany,
Hire
ML
Remote
for
in
offshore
AIAgentDedicatedDevelopersDevelopers,ForGenerativeGermanyGermany,HireMLRemoteforinoffshore
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1Hire AI Developers in Canada | Sapphire Software Solutions
Drive smarter business decisions! Hire AI Developers in Canada from Sapphire Software Solutions for AI solutions that deliver results.
20 days ago by @sapphiresoft123
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AI
Agent
Ai
Canada,
Dedicated
Developers
Developers,
Generative
Hire
Ml
Remote
for
in
offshore
AIAgentAiCanada,DedicatedDevelopersDevelopers,GenerativeHireMlRemoteforinoffshore
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6On Chomsky and the Two Cultures of Statistical Learning
http://norvig.com/chomsky.html
2 months ago by @jaeschke
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chomsky
language
learning
machine
ml
nlp
norvig
statistics
chomskylanguagelearningmachinemlnlpnorvigstatistics
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1How to Train Time Series Forecasting Faster using Ray, part 3 of 3 | by Christy Bergman | TDS Archive | Medium
https://medium.com/data-science/faster-time-series-forecasting-with-ray-air-distributed-computing-part-3-of-3-632c96974774
4 months ago by @bshanks
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ml
timeseries
mltimeseries
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1Machine Learning for Stock Price Prediction
https://web.archive.org/web/20251006162539/https://neptune.ai/blog/predicting-stock-prices-using-machine-learning
4 months ago by @bshanks
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lstm
ml
timeseries
lstmmltimeseries
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1MLOps Landscape in 2025: Top Tools and Platforms
https://web.archive.org/web/20251006160541/https://neptune.ai/blog/mlops-tools-platforms-landscape
4 months ago by @bshanks
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lib
ml
mlops
libmlmlops
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1Time Series - neptune.ai
https://web.archive.org/web/20251024042208/https://neptune.ai/blog/category/time-series-forecasting
4 months ago by @bshanks
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ml
timeseries
toread
mltimeseriestoread
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1CMPT 353 Lecture Notes
https://ggbaker.ca/data-science/
a year ago by @bshanks
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course
data
ml
coursedataml
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1Embeddings are underrated
https://technicalwriting.dev/ml/embeddings/overview.html
a year ago by @bshanks
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embedding
ml
embeddingml
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1GitHub - gerdm/prml: Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
https://github.com/gerdm/prml
a year ago by @bshanks
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book
ml
textbook
bookmltextbook
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1The first AI model based on Yann LeCun’s vision for more human-like AI
https://ai.meta.com/blog/yann-lecun-ai-model-i-jepa/
2 years ago by @bshanks
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ai
lecun
ml
ailecunml
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1[2404.17625] Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land
https://arxiv.org/abs/2404.17625
2 years ago by @ofek
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ML
ML
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1Machine Learning & Neural Networks Blog
https://ml-nn.eu/all.html
2 years ago by @avs
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ML
ML
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1ltfp_book.pdf
https://www.di.ens.fr/%7Efbach/ltfp_book.pdf
2 years ago by @bshanks
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learningtheory
ml
learningtheoryml
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1Opus 1.5 released: Opus gets a machine learning upgrade | Hacker News
https://news.ycombinator.com/item?id=39593256
2 years ago by @bshanks
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codec
ml
opus
codecmlopus
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1Where is Noether's principle in machine learning? | Hacker News
https://news.ycombinator.com/item?id=39560862
2 years ago by @bshanks
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ml
noether
physics
mlnoetherphysics
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2Where Is Noether's Principle in Machine Learning?
Noether
2 years ago by @bshanks
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ml
noether
physics
mlnoetherphysics
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1Design and Optimization of Smart Pipe Network Systems for Urban Water Distribution Using IoT Based Monitoring and Machine Learning Algorithms
S. Singh. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 10 (3): 1212-1223 (June 2026)
28 days ago by @ijtsrd
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Algorithm,
IoT,
ML
Smart
Urban
distribution
network
pipe
systems,
systems.
water
Algorithm,IoT,MLSmartUrbandistributionnetworkpipesystems,systems.water
(0)
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2Detection, Extraction and Analysis of Vossian Antonomasia in Large Text Corpora Using Machine Learning
M. Schwab. Humboldt-Universität zu Berlin, Berlin, Germany, (July 2024)
3 months ago by @jaeschke
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antonomasia
device
diss
learning
machine
ml
myphd
nlp
rhetoric
vossanto
vossian
antonomasiadevicedisslearningmachinemlmyphdnlprhetoricvossantovossian
(0)
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2The Recurrent Transformer: Greater Effective Depth and Efficient Decoding
C. Oncescu, D. Morwani, S. Jelassi, A. Meterez, M. Kwun, and S. Kakade. (2026)
4 months ago by @higoo-higoo
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ML
ML
(0)
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3Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
A. Kumar, R. Bahlous-Boldi, P. Sharma, P. Isola, S. Risi, Y. Tang, and D. Ha. (2026)
7 months ago by @ms12345
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LLMs
ai
ml
neural-networks
LLMsaimlneural-networks
(0)
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2Small Language Models for Efficient Agentic Tool Calling: Outperforming Large Models with Targeted Fine-tuning
P. Jhandi, O. Kazi, S. Subramanian, and N. Sendas. (2025)
7 months ago by @ms12345
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AWS
LLMs
SLMs
ai
ml
neural-networks
research
AWSLLMsSLMsaimlneural-networksresearch
(0)
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2Deceptron: Learned Local Inverses for Fast and Stable Physics Inversion
A. Kachhadiya. (2025)
9 months ago by @asou
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ml
ml
(0)
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2MFM-point: Multi-scale Flow Matching for Point Cloud Generation
P. Molodyk, J. Choi, D. Romero, M. Liu, and Y. Chen. (2025)
9 months ago by @asou
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ml
ml
(0)
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2Uncertainty-Aware Deep Learning Framework for Remaining Useful Life Prediction in Turbofan Engines with Learned Aleatoric Uncertainty
K. Sharma. (2025)
9 months ago by @asou
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ml
ml
(0)
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2Image2Gcode: Image-to-G-code Generation for Additive Manufacturing Using Diffusion-Transformer Model
Z. Wang, Y. Jadhav, P. Pak, and A. Farimani. (2025)
9 months ago by @asou
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ml
ml
(0)
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2Solving Diffusion Inverse Problems with Restart Posterior Sampling
B. Ahmed, and J. Makin. (2025)
9 months ago by @asou
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ml
ml
(0)
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2A Physics-Informed U-net-LSTM Network for Data-Driven Seismic Response Modeling of Structures
S. Biswas, and K. Yadav. (2025)
9 months ago by @asou
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ml
ml
(0)
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2Ensemble Performance Through the Lens of Linear Independence of Classifier Votes in Data Streams
E. Bektas, and F. Can. (2025)
9 months ago by @asou
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ml
ml
(0)
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2REFRAG: Rethinking RAG based Decoding
X. Lin, A. Ghosh, B. Low, A. Shrivastava, and V. Mohan. (2025)
10 months ago by @kolev
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ml
ml
(0)
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2ResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning
S. Zhao, Y. Ze, Y. Wang, C. Liu, P. Abbeel, G. Shi, and R. Duan. (2025)
10 months ago by @kolev
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ML
robotics
MLrobotics
(0)
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2AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
I. Moshkov, D. Hanley, I. Sorokin, S. Toshniwal, C. Henkel, B. Schifferer, W. Du, and I. Gitman. (2025)
a year ago by @nidhoggr
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ML
math
MLmath
(0)
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4Are emergent abilities of large language models a mirage?
R. Schaeffer, B. Miranda, and S. Koyejo. Proceedings of the 37th International Conference on Neural Information Processing Systems, page 55565--55581. Red Hook, NY, USA, Curran Associates Inc., (Dec 10, 2023)
a year ago by @jaeschke
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ai
emergence
evaluation
learning
llm
machine
math
metric
ml
aiemergenceevaluationlearningllmmachinemathmetricml
(0)
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3Deep Learning: Foundations and Concepts
C. Bishop, and H. Bishop. Springer International Publishing, (2024)
2 years ago by @jaeschke
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book
deeplearning
learning
machine
ml
bookdeeplearninglearningmachineml
(0)
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1Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
V. Lialin, V. Deshpande, X. Yao, and A. Rumshisky. (2024)
2 years ago by @mjradwin
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ml
ml
(0)
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2FrAug: Frequency Domain Augmentation for Time Series Forecasting
M. Chen, Z. Xu, A. Zeng, and Q. Xu. (2023)
2 years ago by @alfranz
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dl
ml
ts
dlmlts
(0)
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1Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health
J. Killian, M. Jain, Y. Jia, J. Amar, E. Huang, and M. Tambe. (2023)
2 years ago by @mjradwin
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ml
ml
(0)
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