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

Neural Network Activation Functions

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.

#Context is fueling and boosting the current Generative #AI revolution!. See these books:.> > ————.#RAG #LLMs #GenAI #DataScience #MachineLearning #Semantics #KnowledgeGraphs #IoT #InternetOfContext

If I had to learn Math for Machine Learning from scratch, this is the roadmap I would follow:

Modern Methods in Associative Memory. Krotov et al.: #ArtificialIntelligence #DeepLearning #MachineLearning

The Matrix Calculus You Need! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysofCode .

[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.

MIT Short Course: Machine Learning for Materials Informatics - Jul 28 - 31, 2025 (3.5 days) - LIVE VIRTUAL. Instructor: Prof. Markus J Buehler, mbuehler@MIT.EDU. Material informatics is transforming the way materials are discovered, understood, developed, selected, and used. In

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

Machine Learning X Doing founder .@KwekuOA on transformers as video games.

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. 🔍 Group info: 📬 Apply now:

🗓️ Aug. 13-15 |📍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:

2nd Edition coming soon! Pre-order now at Graph Machine Learning - the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:. 🟠Master new graph ML techniques through updated examples using PyTorch

😊🙏🏻 Happy to share our new educational paper on evaluating #AI and machine learning research in nephrology! 📄🧠. In this paper, we propose a practical framework and detailed checklists specifically designed to help nephrologists critically assess AI/ML studies. We outline an

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

Machine learning has become an in-demand skill in today’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

Machine Learning Crash Course for Engineers! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode .

Can machine learning help #psychiatrists predict outcomes in first-episode #psychosis? .A new study @BMJMentalHealth finds #MLMs perform similarly to #clinicians but don’t consistently improve accuracy yet may help in tough cases. Integration challenges remain. Link: