Neural Networks Blogs

2/7/2026 • EN

Will Kurt

Will Kurt is a data scientist and author writing about probability and statistics through his blog Count Bayesie. He explores Bayesian and frequentist methods with an intuitive, insight-driven approach, making complex ideas in probability accessible and engaging.

probability statistics bayesian analysis

Will Kurt

19

2/4/2026 • EN

Xavier Amatriain

Xavi Amatriain writes about AI, machine learning, and recommendation systems, sharing insights from his work at Google, Netflix, and Curai Health. He explores LLMs, software development, AI strategy, and human-centric technology.

AI Machine Learning Recommendation Systems

Xavier Amatriain

10

2/4/2026 • EN

Alexander Rush

Alexander Rush, Associate Professor at Cornell and researcher at Hugging Face, focuses on improving language models, efficient deep learning algorithms, and AI safety. Explore his work on LLM scaling, long-context generation, and open-source NLP tools.

Language Models NLP Research Deep Learning

Alexander Rush

1

2/4/2026 • EN

Landon Gray

Landon Gray explores software development, AI, and practical programming techniques. Learn best practices in coding, Ruby, LLM-powered app modernization, and frameworks for strategic software decisions.

Software Development AI & LLMs Ruby Programming

Landon Gray

8

2/4/2026 • EN

Eric Jang

Eric Jang is an AI researcher and engineer writing about machine learning, robotics, and generalization. His blog covers topics from LLMs and reinforcement learning to the future of intelligent robots and AI research careers.

artificial intelligence machine learning robotics

Eric Jang

10

2/3/2026 • EN

Brendan O’Connor

Brendan O’Connor is a researcher and data scientist writing about programming languages, data analysis, and machine learning. His work bridges Python, R, and Java, with thoughtful essays on software tools, research workflows, and empirical data exploration.

data science machine learning programming languages

Brendan O’Connor

6

2/3/2026 • EN

Adit Deshpande

Adit Deshpande writes about deep learning, machine learning research, and AI concepts with a strong focus on clarity and intuition. His blog breaks down influential papers, neural networks, and real-world ML applications for beginners and practitioners alike.

deep learning machine learning neural networks

Adit Deshpande

10

2/2/2026 • EN

Andrej Karpathy

Andrej Karpathy est un chercheur et ingénieur en intelligence artificielle, reconnu pour ses travaux sur le deep learning, les LLMs et la compréhension des systèmes intelligents. Sur son blog, il partage des réflexions claires et profondes sur l’IA, la cognition, la programmation et l’impact sociétal de la technologie.

Artificial Intelligence Large Language Models (LLM) Deep Learning

Andrej Karpathy

8

2/2/2026 • EN

Joel Grus

Joel Grus is a software engineer and writer exploring data science, Python, and modern AI systems. His blog blends practical coding experiments, agent-based AI projects, and thoughtful reflections on technology, learning, and life.

python data science artificial intelligence

Joel Grus

25

1/29/2026 • EN

Daniel Miessler

Daniel Miessler is a cybersecurity and AI engineer turned founder, based in the San Francisco Bay Area. He shares insights on cybersecurity, artificial intelligence, technology, and human behavior through essays, tutorials, and technical content on his blog.

Daniel Miessler cybersecurity artificial intelligence

Daniel Miessler

95

1/27/2026 • EN

David Ha

David Ha is an AI researcher known for pioneering work in neuroevolution, reinforcement learning, generative models, and world models. His blog features influential experiments, tutorials, and creative AI projects blending deep learning with evolutionary algorithms.

neuroevolution reinforcement learning generative ai

David Ha

9

1/26/2026 • EN

Emir U

SEO Short Description (2–3 lines): Emir U. is a research-focused software engineer applying mathematics, statistics, and computer science to real-world problems, with 18+ years in software and 7+ years in commercial research. A PhD candidate in astronomy with a background in applied maths and philosophy, he writes about machine learning, logic, and statistical modeling.

data science research applied statistics machine learning methods

Emir U

25

1/25/2026 • EN

Lilian Weng

Lilian Weng is a machine learning researcher documenting deep, well-researched learning notes on large language models, reinforcement learning, and generative AI. Her blog offers clear, structured insights into model reasoning, alignment, hallucinations, and modern ML systems.

Large Language Models Machine Learning Research Reinforcement Learning

Lilian Weng

50

1/25/2026 • EN

Julien Jerphanion

Julien Jerphanion writes in-depth articles on machine learning performance, numerical computing, and software craftsmanship. His work focuses on scikit-learn internals, efficient algorithms, and building a strong theoretical understanding of ML systems.

Machine Learning scikit-learn Numerical Computing

Julien Jerphanion

9

1/25/2026 • EN

Jay Mody

Jay Mody is a software engineer and writer sharing clear, concise explanations of machine learning concepts and numerical computing. His blog focuses on intuition-driven deep dives into topics like GPT, attention, and efficient NumPy implementations.

Machine Learning Deep Learning NumPy

Jay Mody

5

1/25/2026 • EN

Richard Feynman

Richard Feynman is a writer exploring the deep foundations of machine learning, mathematics, and quantitative finance. His work focuses on intuition-first explanations of probability, statistics, linear algebra, and modern models like large language models.

Machine Learning Probability and Statistics Linear Algebra

Richard Feynman

3

1/25/2026 • EN

Thomas Lumley

Thomas Lumley writes thoughtful, in-depth articles on statistics, data analysis, and statistical modeling. His blog explores topics like survey methods, regression, simulations, and inference with a rigorous yet reflective approach.

statistics data analysis statistical modeling

Thomas Lumley

215

1/23/2026 • EN

Ferenc Huszár

Ferenc Huszár is a Professor of Machine Learning at the University of Cambridge and founder of Reasonable, a deep tech startup building advanced programming LLMs. His research focuses on learning theory, reasoning, and inductive biases in deep learning.

machine learning research LLM theory AI reasoning

Ferenc Huszár

15

1/23/2026 • EN

Igor Susmelj

Igor Susmelj is co-founder of Lightly, an ETH Zurich spin-off focused on simplifying large-scale datasets for deep learning. He writes about data pipelines, data annotation, and efficient ML workflows.

deep learning data annotation machine learning datasets

Igor Susmelj

10

1/22/2026 • EN

Jay Alammar

Jay Alammar is an educator and author known for visualizing machine learning and LLM concepts through clear, illustrated guides. He teaches thousands of learners and co-authored Hands-On Large Language Models.

machine learning LLMs AI education

Jay Alammar

9