PinnedPublished inTowards Data ScienceDeep Dive into LlamaIndex Workflow: Event-Driven LLM ArchitectureWhat I think about the progress and shortcomings after practiceDec 17, 20242Dec 17, 20242
PinnedPublished inTowards Data ScienceKeras 3.0 Tutorial: End-to-End Deep Learning Project GuideImplement an encoder-decoder recurrent network from scratchMay 18, 20243May 18, 20243
PinnedPublished inTowards Data ScienceScikit-learn Visualization Guide: Making Models SpeakUse the Display API to replace complex Matplotlib codeMar 21, 20244Mar 21, 20244
How to Become a Data Scientist If You Lacking the Necessary SkillsEmbrace Change, Love Learning, and PersistDec 4, 2024Dec 4, 2024
Published inTowards Data ScienceHow to Connect LlamaIndex with Private LLM API DeploymentsWhen your enterprise doesn’t use public models like OpenAINov 21, 2024Nov 21, 2024
Implementing the train_step Method in Keras 3: From Errors to SolutionsOfficial code example hasn’t kept up with framework updatesSep 3, 2024Sep 3, 2024
Published inTowards Data ScienceThe Math Behind Keras 3 Optimizers: Deep Understanding and ApplicationThis is a bit different from what the books say.Aug 17, 20242Aug 17, 20242
Published inTowards Data ScienceVisualizing What Batch Normalization Is and Its AdvantagesOptimizing your neural network training with batch normalizationFeb 3, 20241Feb 3, 20241
Published inTowards Data ScienceEnsuring Correct Use of Transformers in Scikit-learn PipelineEffective data processing in machine learning projectsDec 20, 2023Dec 20, 2023
Published inTowards Data ScienceHow to Optimize Multidimensional Numpy Array Operations with NumexprA real-world case study of performance optimization in NumpyOct 22, 20231Oct 22, 20231