Explore tweets tagged as #Machine_Learning
@Parajulisaroj16
PYOFLIFE.COM
8 hours
Data science has emerged as a critical field in the digital age, revolutionizing the way businesses make decisions and uncover insights. #DataScience #machinelearning #DataScientists #statistics #ArtificialInteligence #codinglife #datavisualizations
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@DanKornas
Dan | Machine Learning Engineer
9 days
Neural Network Activation Functions
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@miniapeur
Mathieu
9 days
Algebraic topology and differential geometry are both amazing and full of profound ideas. I can't believe it took me so long to get hooked. The intersection with machine learning is also very promising.
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@KirkDBorne
Kirk Borne
4 hours
#Context is fueling and boosting the current Generative #AI revolution!. See these books:.> > โ€”โ€”โ€”โ€”.#RAG #LLMs #GenAI #DataScience #MachineLearning #Semantics #KnowledgeGraphs #IoT #InternetOfContext
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@TivadarDanka
Tivadar Danka
6 days
If I had to learn Math for Machine Learning from scratch, this is the roadmap I would follow:
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@ceobillionaire
AGI.Eth
10 minutes
Modern Methods in Associative Memory. Krotov et al.: #ArtificialIntelligence #DeepLearning #MachineLearning
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@miniapeur
Mathieu
9 days
[1/5] Data often has inherent geometric and topological properties that can be exploited by machine learning algorithms. Below are four areas of machine learning that explore this important aspect.
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@ProfBuehlerMIT
Markus J. Buehler
4 days
MIT Short Course: Machine Learning for Materials Informatics - Jul 28 - 31, 2025 (3.5 days) - LIVE VIRTUAL. Instructor: Prof. Markus J Buehler,ย mbuehler@MIT.EDU. Material informatics is transforming the way materials are discovered, understood, developed, selected, and used. In
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@AACR
AACR
6 hours
Machine Learning and AI for Drug Discovery, Repurposing, and Response Prediction: Alexander Tropsha, Charlotte Bunne, and Alicia Pliego addressed this topic in a plenary session this morning at the #AACRai25 conference. @_bunnech
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@mlxdoing
Machine Learning X Doing
33 minutes
Machine Learning X Doing founder .@KwekuOA on transformers as video games.
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@WenxiWang4
Wenxi Wang
6 hours
Our Hiprel Group is recruiting PhD students (Fall 2026) and year-round interns to drive innovative research at the intersection of machine learning, automated reasoning, and software engineering. ๐Ÿ” Group info: ๐Ÿ“ฌ Apply now:
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@INL
Idaho National Lab
5 hours
๐Ÿ—“๏ธ Aug. 13-15 |๐Ÿ“Idaho Falls, #Idaho. @INL's University Days 2025 event unites leading U.S. professors, faculty and experts to explore the newest advancements in #cybersecurity, #AI, #MachineLearning, #nuclear physics, #engineering and more. Sign up now:
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@KirkDBorne
Kirk Borne
4 days
2nd Edition coming soon! Pre-order now at Graph Machine Learning - the latest advancements in graph data to build robust machine learning algorithms. ๐“š๐“ฎ๐”‚ ๐“•๐“ฎ๐“ช๐“ฝ๐“พ๐“ป๐“ฎ๐“ผ:. ๐ŸŸ Master new graph ML techniques through updated examples using PyTorch
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@wisit661
Wisit Cheungpasitporn MD FACP | FASN | FAST
4 days
๐Ÿ˜Š๐Ÿ™๐Ÿป Happy to share our new educational paper on evaluating #AI and machine learning research in nephrology! ๐Ÿ“„๐Ÿง . In this paper, we propose a practical framework and detailed checklists specifically designed to help nephrologists critically assess AI/ML studies. We outline an
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@Python_Dv
Python Developer
8 days
Deep Learning Roadmap 1. Deep Learning is also known as (deep structured learning) is a subset of Machine Learning which in turn is a subset of Artificial Intelligence, which is a part of a greater field of Computer Science. 2. It is part of a broader
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@coursera
Coursera
6 hours
Machine learning has become an in-demand skill in todayโ€™s job market, powering everything from email spam filters to streaming algorithms and surgical robots. Unlock machine learning skills with a certificate that aligns with your goals, experience, and learning style. Here are
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@gp_pulipaka
Dr. Ganapathi Pulipaka ๐Ÿ‡บ๐Ÿ‡ธ
1 day
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@BMJMentalHealth
BMJ Mental Health
7 days
Can machine learning help #psychiatrists predict outcomes in first-episode #psychosis? .A new study @BMJMentalHealth finds #MLMs perform similarly to #clinicians but donโ€™t consistently improve accuracy yet may help in tough cases. Integration challenges remain. Link:
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