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Welcome to my blog. The topics here include: public clouds (AWS, Alibaba Cloud, Azure, Tencent Cloud and Google Cloud), big data, Serverless, DevOps, and IaC. Any question try to contact me: leo@tianzhui.cloud.

AWS re:Invent 2024 - Mitigating the OWASP Top 10 for LLMs: Build secure gen AI applications (AIM283)

在阿里云上部署DeepSeek

将照片和视频从iPhone或iPad传输到Mac

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 3 - Section 5 - Continuous state spaces

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 3 - Section 3 - State-action value function

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 3 - Section 1 - Reinforcement learning introduction

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 2 - Section 9 - Principal Component Analysis

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 2 - Section 6 - Content-based filtering

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 2 - Section 3 - Recommender systems implementation detail

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 2 - Section 1 - Recommender systems

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 1 - Section 5 - Anomaly detection

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 1 - Section 2 - Clustering

Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning - Week 1 - Section 1 - Welcome to the course!

Coursera - Supervised Machine Learning: Regression and Classification - Week 3 - Section 7 - The problem of overfitting

Coursera - Supervised Machine Learning: Regression and Classification - Week 3 - Section 5 - Gradient descent for logistic regression

Coursera - Supervised Machine Learning: Regression and Classification - Week 3 - Section 3 - Cost function for logistic regression

Coursera - Supervised Machine Learning: Regression and Classification - Week 3 - Section 1 - Classification with logistic regression

Coursera - Supervised Machine Learning: Regression and Classification - Week 2 - Section 3 - Gradient descent in practice

Coursera - Supervised Machine Learning: Regression and Classification - Week 2 - Section 1 - Multiple linear regression

Coursera - Supervised Machine Learning: Regression and Classification - Week 1 - Section 6 - Train the model with gradient descent

Coursera - Supervised Machine Learning: Regression and Classification - Week 1 - Section 4 - Regression Model

SageMaker Algorithms

Coursera - Supervised Machine Learning: Regression and Classification - Week 1 - Section 2 - Supervised vs. Unsupervised Machine Learning

Coursera - Supervised Machine Learning: Regression and Classification - Week 1 - Section 1 - Overview of Machine Learning

Coursera - Neural Networks and Deep Learning - Week 4 - Section 1 - Deep Neural Networks

Coursera - Neural Networks and Deep Learning - Week 3 - Section 1 - Shallow Neural Networks

Coursera - Neural Networks and Deep Learning - Week 2 - Section 2 - Python and Vectorization

Coursera - Neural Networks and Deep Learning - Week 2 - Section 1 - Logistic Regression as a Neural Network

Coursera - Machine Learning in Production - Week 1 - Section 4 - Graded Assessment

Coursera - Machine Learning in Production - Week 1 - Section 2 - Graded Assessment