add a laptop ( debian only wifi ) to kubernet cluster
HW Purpose: Add old laptop to existing k8s HW: Add Laptop with only Wifi ( no ethernet port) Software debian 12 (1) k8s apt-get install bridge-utils apt-get install nfs-common sudo…
Some fun python projects for kids
Fibonacci Print the Fibonacci series, useful for teaching basics of looping. Number Guessing Game The user thinks of a number between 1 and 100. The computer tries to guess…
Launching Our Exciting Kubernetes Online Learning Course
We’re thrilled to announce the launch of our highly-anticipated Kubernetes Online Learning Course! 🎉 🌐 Master Kubernetes, The Future of Container Orchestration Kubernetes has become the backbone of modern containerized…
Useful video tools on linux
increase audio volume ffmpeg -i ./containerd_runtime.mp4 -af volume=3 -vcodec copy new_containerd.mp4 Kazam screencast/recording text to img: https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_diffusion.ipynb#scrollTo=xSKWBKFPArKS
Good ML courses
ML course from Google https://developers.google.com/machine-learning Probabilistic Machine Learning: An Introduction https://probml.github.io/pml-book/book1.html Probabilistic Machine Learning: Advanced Topics https://probml.github.io/pml-book/book2.html
Interpreting Loss Curves
https://developers.google.com/machine-learning/testing-debugging/metrics/interpretic A very useful guide
Recommendation system
Basic knowledge https://developers.google.com/machine-learning/crash-course/embeddings/video-lecture A good one : explain embedding and recommendation system Type Definition Example content-based filtering Uses similarity between items to recommend items similar to what the user likes. If user…
How to handle Imbalanced Datasets
Handling imbalanced datasets is a common challenge in machine learning, especially for classification tasks where the number of examples in different classes varies significantly. Imbalanced datasets can lead to biased…
How to evaluate model’s performance
Evaluating the performance of machine learning models is a crucial step to understand how well your model is generalizing to new, unseen data. There are various evaluation metrics and techniques…
KNN, Kmeans, mean shift
KNN (K-Nearest Neighbors), K-means, and Mean Shift are all machine learning techniques used for different types of tasks, primarily in clustering and pattern recognition. Let’s break down the differences between…