Generative AI
Deep Dive into LlamaIndex Workflow: Event-driven LLM architecture
Progress and shortcomings after practice
Peng Qian
Senior Data Scientist, Chief Architect, and Author for Towards Data Science. With a decade of programming experience, I share knowledge of how to use data science to solve real-world problems.
Career Growth
How to Become a Data Scientist If You Lacking the Necessary Skills
Embrace Change, Love Learning, and Persist
Generative AI
How to Connect LlamaIndex with Private LLM API Deployments
When your enterprise doesn't use public models like OpenAI
Machine Learning
Implementing the train_step Method in Keras 3: From Errors to Solutions
Official code example hasn't kept up with framework updates
Machine Learning
The Math Behind Keras 3 Optimizers: Deep Understanding and Application
This is a bit different from what the books say.
Machine Learning
Keras 3.0 Tutorial: End-to-End Deep Learning Project Guide
Implement an encoder-decoder recurrent network from scratch
Machine Learning
Scikit-learn Visualization Guide: Making Models Speak
Use the Display API to replace complex Matplotlib code
Machine Learning
Visualizing What Batch Normalization Is and Its Advantages
Optimizing your neural network training with Batch Normalization
Machine Learning
Ensuring Correct Use of Transformers in Scikit-learn Pipeline
Effective data processing in machine learning projects
Python Craft
How to Optimize Multidimensional Numpy Array Operations with Numexpr
A real-world case study of performance optimization in Numpy
Python Craft
Exploring Numexpr: A Powerful Engine Behind Pandas
Enhancing your data analysis performance with Python's Numexpr and Pandas' eval/query functions
Python Craft
Seaborn 0.12: An Insightful Guide to the Objects Interface and Declarative Graphics
Streamlining your data visualization journey with Python's popular library