PinnedPublished inTowards Data ScienceDeep Dive into LlamaIndex Workflow: Event-Driven LLM ArchitectureProgress and shortcomings after practice4d ago34d ago3
PinnedPublished inTowards Data ScienceKeras 3.0 Tutorial: End-to-End Deep Learning Project GuideImplement an encoder-decoder recurrent network from scratchMay 183May 183
PinnedPublished inTowards Data ScienceScikit-learn Visualization Guide: Making Models SpeakUse the Display API to replace complex Matplotlib codeMar 214Mar 214
How to Become a Data Scientist If You Lacking the Necessary SkillsEmbrace Change, Love Learning, and PersistDec 4Dec 4
Published inTowards Data ScienceHow to Connect LlamaIndex with Private LLM API DeploymentsWhen your enterprise doesn’t use public models like OpenAINov 21Nov 21
Implementing the train_step Method in Keras 3: From Errors to SolutionsOfficial code example hasn’t kept up with framework updatesSep 3Sep 3
Published inTowards Data ScienceThe Math Behind Keras 3 Optimizers: Deep Understanding and ApplicationThis is a bit different from what the books say.Aug 172Aug 172
Published inTowards Data ScienceVisualizing What Batch Normalization Is and Its AdvantagesOptimizing your neural network training with batch normalizationFeb 31Feb 31
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, 20232Oct 22, 20232