Machine Learning Blogs

2/7/2026 • EN

Andrew Healey

Andrew Healey writes about programming languages, compiler design, systems programming, and performance optimization. His blog covers building interpreters, compilers, sandboxes, games, and creative developer tooling, often with a focus on speed and efficiency.

Programming Languages Compilers & Interpreters Systems Programming

Andrew Healey

124

2/7/2026 • EN

Aditya Rohilla

Aditya Rohilla writes about software engineering, cloud-native systems, AI, and platform security. His blog covers practical insights on system design, GenAI, zero-trust architecture, and lessons learned from top tech companies like Amazon.

Software Engineering System Design Cloud Native

Aditya Rohilla

4

2/7/2026 • EN

Tigran Hakobyan

Tigran Hakobyan writes about software development, AI-enhanced engineering, and career growth in tech. His blog covers programming trends, CI/CD practices, reliability, and personal reflections on building a career while balancing life.

Software development AI in programming career growth

Tigran Hakobyan

19

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

2/7/2026 • EN

Dan Simpson

Dan Simpson is a technical writer and researcher focusing on C++, JAX, and advanced statistical computing. His blog dives deep into sparse matrices, autodiff, Bayesian methods, and modern AI techniques, blending theory with practical, hands-on implementations.

statistical computing sparse matrices autodiff

Dan Simpson

18

2/7/2026 • EN

Pavel Pscheidl

SEO Short Description (2–3 lines): Pavel Pscheidl is a software engineer and writer focused on Kubernetes, cloud-native systems, and machine learning. He shares practical insights on operating complex applications, H2O machine learning platforms, and distributed systems through hands-on technical articles and tutorials.

kubernetes machine learning cloud native

Pavel Pscheidl

5

2/5/2026 • EN

Rajesh P

Rajesh P writes about building scalable, secure, and high-performance backend systems. His articles cover Spring Boot, API design and versioning, system design fundamentals, and modern GenAI concepts like rerankers, LLM limits, and latency optimization.

Spring Boot API Design System Design

Rajesh P

10

2/5/2026 • EN

Michael Toth

Michael Toth is a consulting data scientist and writer known for clear, practical guides to data visualization in R. His work focuses on ggplot, effective graph design, and helping data scientists communicate insights with impact.

Data Science R Programming Data Visualization

Michael Toth

20

2/4/2026 • EN

Mavrick Laakso

Mavrick Laakso shares practical guides on CI/CD, AWS cloud, Ruby on Rails, and iOS testing. Explore tutorials on GitHub Actions, Terraform, Lambda optimization, and building scalable, cost-effective cloud solutions.

CI/CD AWS Cloud GitHub Actions

Mavrick Laakso

14

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

2/4/2026 • EN

Neil Lawrence

Neil Lawrence is a researcher and thought leader writing about machine learning, artificial intelligence, and decision-making under uncertainty. His work explores the societal, ethical, and technical implications of AI, data science, and policy over the past decade.

artificial intelligence machine learning data science

Neil Lawrence

7

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

Avi Singh

Avi Singh writes about computer vision, deep learning, and robotics, with hands-on tutorials and research-driven insights. His work covers visual odometry, activity recognition, neural networks, and practical implementations using OpenCV, CUDA, and MATLAB.

computer vision deep learning visual odometry

Avi Singh

10

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

2/3/2026 • EN

Vincent Warmerdam

Vincent Warmerdam is a data scientist and Python educator known for exploring practical data tools, developer workflows, and thoughtful software design. He regularly writes about Python, machine learning, tooling experiments, and lessons learned from real-world data work.

python data science developer tooling

Vincent Warmerdam

11

2/2/2026 • EN

Shreya Shankar

Shreya Shankar is a PhD researcher sharing insights on AI, machine learning, HCI, and data science. Her work explores LLM applications, AI evaluation, and practical ML engineering challenges, reaching a wide audience across blogs and social media.

AI research machine learning LLM applications

Shreya Shankar

17

2/2/2026 • EN

Oscar Baruffa

Oscar Baruffa is a Senior Analytics Manager and data professional helping organisations improve data maturity and build systems from scratch. With a background spanning engineering, strategy, and analytics, he also supports professionals transitioning into data-driven careers.

data analytics analytics manager data maturity

Oscar Baruffa

8

2/2/2026 • EN

Paolo Galeone

P. Galeone is a software engineer and writer focused on cloud infrastructure, AI systems, and technological sovereignty. His work explores practical implementations in Go and Python, AI-driven automation, and the societal implications of dependence on foreign cloud and digital platforms.

Cloud infrastructure AI systems Go programming

Paolo Galeone

8

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

Florian Dedov

Florian Dedov writes about Python programming, AI/ML concepts, and hands-on tech projects like Raspberry Pi. His content focuses on practical learning, project ideas, and demystifying AI terminology for developers and enthusiasts.

Python programming AI terminology machine learning

Florian Dedov

2