S M Asiful Huda

AI/ML Enthusiastic
C# || .NET || Python || Programming
Trying to be a better programmer than yesterday.
Follow me for programming and higher-study updates.

[S M Asiful Huda @HUDASMAsiful1]

Link: https://t.co/YW74sMhf6I

[S M Asiful Huda @HUDASMAsiful1]

Glad to share that our article, “Graph-based Federated Learning for Smart Healthcare: A Comprehensive Survey,” has been accepted in Future Generation Computer Systems, Elsevier (Q1, IF: 6.1).

[S M Asiful Huda @HUDASMAsiful1]

In addition we discuss how graph-aware federated learning can improve collaboration across institutions, preserve privacy, and better capture real-world complexity. Grateful to everyone who contributed to this work. Looking forward to pushing this direction further.

[S M Asiful Huda @HUDASMAsiful1]

In this paper, we explore how incorporating graph-based connectivity can change the way we approach learning in healthcare systems.

[Rony @Ronycoder]

Instead of watching an hour of Netflix, watch this 30-minute speech by the Head of Anthropic’s Coding Agents research team. It will teach you more about vibe coding than 100 paid courses.

[Roan @RohOnChain]

This 2 hour Stanford lecture will teach you more about how LLMs like ChatGPT & Claude are built than most people working at top AI companies learn in their entire careers.

Bookmark this & give 2 hours today, no matter what. It'll be the most productive thing you do this week.

[Jaynit @jaynitx]

Sam Altman literally gave a 43-minute masterclass on turning ideas into billion-dollar companies:

[Mohini Shewale @s_mohinii]

Instead of watching 2 hours Netflix, learn claude in 60 minutes for Free.

[Excalidraw @excalidraw]

Thanks to good people at @AnthropicAI we now have an official MCP for Excalidraw!

Take it for a spin on @claudeai (search for Excalidraw in Connectors, or use in Claude Code and elsewhere).

More to come. ✌

[Eduardo Camavinga @Camavinga]

New position unlocked, Right winger ✅😭

[𝐟𝐞𝐝𝐞𝐯𝐚𝐥𝐯 @heis_fede]

El Classico Next.
Throwback to some of the peak Negreira moments in the El Classico.

[Swapna Kumar Panda @swapnakpanda]

Stanford's FREE Courses on AI & ML:

❯ CS221 - Artificial Intelligence
❯ CS229 - Machine Learning
❯ CS229M - ML Theory
❯ CS230 - Deep Learning
❯ CS234 - Reinforcement Learning
❯ CS224U - NL Understanding
❯ CS224N - NLP with Deep Learning

Links inside:

[Dr Milan Milanović @milan_milanovic]

𝗗𝗲𝘃𝗢𝗽𝘀 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟱.

Here’s a breakdown of the key areas you should focus on:

𝟭. 𝗟𝗶𝗻𝘂𝘅 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀

Start with mastering Linux, the backbone of most DevOps environments.

🔹 Distributions: Ubuntu, Red Hat, Debian
🔹 Shell Commands: Understanding bash scripting, package management, process management, and more.

𝟮. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴

Understanding networking is critical for deploying and managing applications in the cloud or on-premises.

🔹 NGINX: Web server and reverse proxy
🔹 pfsense: Firewall/router software
🔹 Wireshark: Network protocol analyzer
🔹 Nagios: Monitoring and alerting

𝟯. 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴

Cloud platforms offer scalability, reliability, and speed. Familiarize yourself with major providers and cloud concepts.

Providers:
🔹 AWS: Amazon Web Services
🔹 Azure: Microsoft Azure
🔹 Google Cloud: Google Cloud Platform

🔸 Concepts: IAAS, PAAS, SAAS

𝟰. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆

Security is non-negotiable in any DevOps practice. Understanding and implementing security tools and best practices is essential.

Tools:
🔹 Prisma: Cloud security posture management
🔹 Open Policy Agent: Policy-based control for cloud-native environments
🔹 Kube-Hunter: Kubernetes security auditing
🔹 Kube-bench: Security benchmark testing for Kubernetes

𝟱. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻

Containers are the future of application deployment. Mastering orchestration tools will enable you to deploy and manage containers efficiently.

Tools:

🔹 Docker: Containerization platform
🔹 Kubernetes: Container orchestration
🔹 Istio: Service mesh
🔹 Consul: Service networking
🔹 Linkerd: Lightweight service mesh
🔹 Podman: Alternative to Docker

𝟲. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 (𝗜𝗮𝗖)

Automating infrastructure setup and management is a cornerstone of DevOps.

Configuration management:
🔹 Ansible, Chef, Puppet: Automate configuration management

Infrastructure provisioning:
🔸 Terraform: Infrastructure as code tool for cloud resources
🔸 Crossplane: Kubernetes-native control plane for cloud resources
🔸 CloudFormation: AWS-specific IaC service

𝟳. 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆

Understanding what's happening in your systems is key to maintaining and improving them.

Monitoring tools:
🔹 Prometheus: Monitoring system and time-series database
🔹 Grafana: Data visualization tool
🔹 Splunk: Data analysis platform

Logging tools:
🔸 Papertrail, LogStash, Elasticsearch: Logging and log management tools

𝟴. 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀

Continuous Integration and Continuous Deployment (CI/CD) are at the heart of DevOps, enabling faster and more reliable software delivery.

Tools:
🔹 GitHub, BitBucket, GitLab: Version control and CI/CD pipelines
🔹 Argo: Kubernetes-native CI/CD
🔹 Jenkins: Automation server
🔹 Azure DevOps: Microsoft’s CI/CD platform
🔹 Spinnaker: Multi-cloud continuous delivery platform

[Madrid Xtra @MadridXtra]

INSTANT. IMPACT.