Free Stanford AI course - ML from Human Feedback (CS329H)

If you’re ready to build a solid foundation in machine learning, this Machine Learning Fundamentals YouTube playlist is one of the best free resources available online. Carefully curated to guide learners step by step, this collection of videos breaks down complex algorithms and concepts into clear, digestible lessons. Whether you’re just starting out or want to strengthen your understanding before diving into advanced topics, these lectures will equip you with essential tools and intuition for real-world machine learning. 

What makes this playlist especially worthwhile is its structured progression through key topics like supervised learning, classification, regression, clustering, evaluation metrics, and optimization techniques. You’ll find that each video builds on the last, making it easy to follow along even if you’re new to the field. The explanations are framed in a way that balances theory with practical insights — so you’ll not only know what works, but why it works.

Another great advantage of this playlist is its learning flexibility. Because it’s hosted on YouTube, you can watch at your own pace — rewind tricky sections, skip ahead when comfortable, and revisit lessons whenever you need a refresher. This makes it perfect for self-paced learners, busy professionals, and students who want a structured yet flexible way to absorb fundamental machine learning skills without the pressure of exams or fixed schedules. 

In today’s data-driven world, understanding machine learning isn’t just an advantage — it’s becoming a necessity. Whether you’re aiming for a career in data science, software engineering, or research, this playlist gives you a solid foundation to build on. Ready to take your first step into the world of intelligent systems? Start watching this machine learning fundamentals playlist today and unlock the concepts that power modern AI.

https://www.youtube.com/watch?v=ApF2OenMgfc

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How Windows Notepad Sabotages Your Bash Scripts (Without Even Trying)

If you’ve ever written a perfectly reasonable Bash script on Windows, copied it to a Linux box, and been greeted by a mysterious ^M or a “bad interpreter” error, congratulations—you’ve met the joys of line endings. Windows Notepad loves to use CRLF (Carriage Return + Line Feed) to end lines, while Linux expects a simple LF. To Linux, those extra carriage returns are like unexpected speed bumps, and your script trips over them before it even gets started.

The problem is that Bash is very literal. When it reads #!/bin/bash^M, it doesn’t politely ignore the weird character—it assumes you’re asking for an interpreter that doesn’t exist. From your perspective, the script looks fine. From Linux’s perspective, it’s wearing Windows shoes on a hiking trail and wondering why everything hurts.

This is where plain old Windows Notepad really shows its age. It’s great for quick notes and passive-aggressive reminders, but it has zero awareness of Unix-style formatting. So you end up writing valid Bash logic that’s wrapped in invalid line endings, and the script fails in the most confusing way possible. Nothing like spending 20 minutes debugging code that’s technically correct but formatted “wrong.”

Using Notepad++ is how you avoid this whole mess. It understands that different operating systems have different expectations and lets you save files with Unix (LF) line endings. That one small setting turns your script from “Why won’t this run?” into “Oh wow, it just works.” Moral of the story: write your Bash scripts with tools that speak Linux, or at least have the decency to translate—your future self will thank you.

Here are the links 

Mobaxterm https://mobaxterm.mobatek.net/

Notepad++  https://notepad-plus-plus.org/

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How Real-Time Observability Protects Manufacturers in a Disrupted World

Keep Manufacturing Operations Secure and Resilient

from the web: Cisco IP Source Guard (IPSG) and configuration

From the website:  "IP Source Guard is a security feature on Cisco switches designed to prevent IP address spoofing attacks. It restricts IP traffic on untrusted switch ports by filtering traffic based on the DHCP snooping binding database or manually configured IP-to-MAC bindings."

In January 2026, Internetworks published several networking tutorials focused on advanced IPv6 and routing topics. The January 15 post explains IPv6 route redistribution between different routing protocols like EIGRPv6, OSPFv3, and RIPng, highlighting how to configure redistribution so routes can be exchanged between these protocols in an IPv6 environment. It emphasizes planning to avoid routing loops and using filtering, metrics, and administrative distance adjustments to control the redistributed routes, and includes an example configuration with multiple routers running EIGRPv6, OSPFv3, and RIPng working together.

Earlier in the month, January 12 featured a tutorial on IPv6 EIGRP, detailing the next-generation implementation of Cisco’s Enhanced Interior Gateway Routing Protocol for IPv6. This explained its advantages—such as rapid convergence and separate protocol instances for IPv6—and showed how to enable IPv6 EIGRP on interfaces with addressing and configuration examples. January 4 covered Cisco IP Source Guard, a security feature that prevents IP spoofing on switches by filtering traffic based on DHCP snooping or static IP-to-MAC bindings, along with step-by-step setup instructions.

click on the image to read the article

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We are now accepting technical articles or tool or topic recommendations.  

Just use the Contact form in the top right corner to contact us..

My Wifi 'extension cable'

There’s something deeply unfair about having perfectly good Wi-Fi but a wired-only device staring back at you like it’s 2006. That’s where the $40 TP-Link AC750 Wireless Portable Nano Travel Router (TL-WR902AC) swoops in like a pocket-sized hero. This thing is absurdly small—about the size of a deck of cards—but somehow manages to solve problems that would otherwise involve sketchy USB adapters, driver hunting, or just giving up. It’s designed for travel, sure, but it’s also perfect for those random “why does this only have Ethernet?” moments.

The real magic for me was using it in client mode. In this configuration, the AC750 connects to an existing Wi-Fi network and then shares that connection out through its Ethernet port.

Translation: your wired-only device suddenly thinks it’s on a wired network. No OS tweaks, no weird hacks—just plug in an Ethernet cable and go. I used it to give a stubborn wired device internet access over my Wi-Fi, and it worked so smoothly it almost felt suspicious. its also a great companion for test tools that only have ethernet ports for admin or out of band access.

Setup is refreshingly painless. You power it up (USB-powered, because of course it is), connect to it, pick your Wi-Fi network, and boom—you’re done. The web interface is simple enough that you don’t need a networking certification or three cups of coffee to understand it. Once configured, it just sits there quietly doing its job, like the best kind of networking gear: the kind you forget about because nothing is broken.

The best part? This little router is cheap, portable, and endlessly useful. Toss it in a laptop bag and suddenly you’re ready for hotels, labs, job sites, or any situation where Wi-Fi and Ethernet refuse to cooperate with each other. The TP-Link AC750 is basically a Wi-Fi interpreter for wired devices, and it does it without drama. For something so small, it delivers a surprisingly big “why didn’t I buy this sooner?” moment.

amazon.com https://amzn.to/45iOR4K

amazon.ca https://amzn.to/4apCB5Y

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Make sure you are on the email list for some cool stuff I have planned year by filing out the contact form with the work subscribe in the message  field.

free Stanford AI course - Language Models from Scratch (CS336)

 

Since the last one i posted got so much attention, i will post a few more.   Enjoy

If you’re eager to master the next frontier in artificial intelligence, Don’t miss the Stanford CS336: Language Modeling from Scratch playlist — a complete, free university-level lecture series now available on YouTube. This playlist guides you through building language models from the ground up, just like the ones behind cutting-edge AI systems. Whether you’re a developer, student, or AI enthusiast, these videos give you firsthand insight into the principles and practices that power today’s large language models. 

What makes this playlist truly valuable is its depth and clarity. Taught by Stanford faculty and researchers, the lectures cover both the theoretical foundations and hands-on implementation details you need to build real language models. You’ll explore tokenization, neural architectures, PyTorch coding techniques, and how language models are trained efficiently — all explained step by step. This level of instruction is rare, especially at no cost.  

Another advantage of this YouTube playlist is its flexibility. You can learn at your own pace, pause and replay complex sections, and revisit topics whenever you need a refresher. This is like having a world-class AI course on demand — no enrollment, no tuition, and no schedule to keep. If you’ve ever wished you could access Stanford-level AI education from anywhere in the world, this playlist makes that possible.  

In a world where language models are reshaping industries — from search and content creation to software development and research — understanding how they’re built is a powerful skill. The Stanford CS336 Language Modeling from Scratch playlist equips you with both the big-picture concepts and the practical know-how needed to advance your career or personal projects in AI. Dive in today and start learning the foundations of tomorrow’s technology.

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