Pycon Hk 2017 Machine Learning

Media Summary: With the ever-growing data size and the increasing complexity of data science ... Every new LLM comes with glowing performance on English-centric benchmarks. This makes it difficult to predict how that ...

Pycon Hk 2017 Machine Learning - Detailed Analysis & Overview

With the ever-growing data size and the increasing complexity of data science ... Every new LLM comes with glowing performance on English-centric benchmarks. This makes it difficult to predict how that ...

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PyCon HK 2017 - Machine Learning on Energy Consumption Prediction

PyCon HK 2017 - How to approach a ML Problem with Python ?: YouTube Like Count Prediction

PyCon HK 2017 - Recurrent Neural Networks in Python: Keras and TensorFlow for Time Series Analysis

PyCon HK 2017 - Micropython

PyCon HK 2017 - Using Gradient Boosting Machines in Python

[PyCon HK 2024] End-to-end GPU Acceleration for scikit-learn and XGBoost - Jiaming Yuan

PyCon HK 2017 - How I battle with HK Open Data in Python

PyCon HK 2017 - Resurrecting the dead with deep learning

PyCon HK 2017 - AI learn to Drive: Introduction to Reinforcement Learning with Python

Bridging the Data Science Gap in Production ML with Tempo (Alejandro Saucedo) - PyCon HK 2021

[PyCon HK 2025] Mercari LLM Benchmark: Business-focused LLM Benchmarking- Prashant Anand, Kanta Suga

PyCon HK 2017 - Boosting command line data manipulation with Python and AWK

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PyCon HK 2017 - Machine Learning on Energy Consumption Prediction

PyCon HK 2017 - Machine Learning on Energy Consumption Prediction

PyCon Hong Kong 2017

PyCon HK 2017 - How to approach a ML Problem with Python ?: YouTube Like Count Prediction

PyCon HK 2017 - How to approach a ML Problem with Python ?: YouTube Like Count Prediction

PyCon Hong Kong 2017

PyCon HK 2017 - Recurrent Neural Networks in Python: Keras and TensorFlow for Time Series Analysis

PyCon HK 2017 - Recurrent Neural Networks in Python: Keras and TensorFlow for Time Series Analysis

PyCon Hong Kong 2017

PyCon HK 2017 - Micropython

PyCon HK 2017 - Micropython

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PyCon HK 2017 - Using Gradient Boosting Machines in Python

PyCon HK 2017 - Using Gradient Boosting Machines in Python

PyCon Hong Kong 2017

[PyCon HK 2024] End-to-end GPU Acceleration for scikit-learn and XGBoost - Jiaming Yuan

[PyCon HK 2024] End-to-end GPU Acceleration for scikit-learn and XGBoost - Jiaming Yuan

https://pretalx.com/pyconhk2024/talk/HN3F8L/ With the ever-growing data size and the increasing complexity of data science ...

PyCon HK 2017 - How I battle with HK Open Data in Python

PyCon HK 2017 - How I battle with HK Open Data in Python

PyCon Hong Kong 2017

PyCon HK 2017 - Resurrecting the dead with deep learning

PyCon HK 2017 - Resurrecting the dead with deep learning

PyCon Hong Kong 2017

PyCon HK 2017 - AI learn to Drive: Introduction to Reinforcement Learning with Python

PyCon HK 2017 - AI learn to Drive: Introduction to Reinforcement Learning with Python

PyCon Hong Kong 2017

Bridging the Data Science Gap in Production ML with Tempo (Alejandro Saucedo) - PyCon HK 2021

Bridging the Data Science Gap in Production ML with Tempo (Alejandro Saucedo) - PyCon HK 2021

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[PyCon HK 2025] Mercari LLM Benchmark: Business-focused LLM Benchmarking- Prashant Anand, Kanta Suga

[PyCon HK 2025] Mercari LLM Benchmark: Business-focused LLM Benchmarking- Prashant Anand, Kanta Suga

Every new LLM comes with glowing performance on English-centric benchmarks. This makes it difficult to predict how that ...

PyCon HK 2017 - Boosting command line data manipulation with Python and AWK

PyCon HK 2017 - Boosting command line data manipulation with Python and AWK

PyCon Hong Kong 2017

PyCon HK 2017 - Python for data analysis

PyCon HK 2017 - Python for data analysis

PyCon Hong Kong 2017