Brian Spiering (brianspiering)

brianspiering

Geek Repo

Location:San Francisco, CA, USA

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Organizations
DeltaAnalytics
gSchool

Brian Spiering's repositories

awesome-dl4nlp

A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources

awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources

nlp-course

An introduction to Natural Language Processing (NLP) course

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machine-learning-in-scikit-learn

Introduction to machine learning in scikit-learn

rl-course

Applied Reinforcement Learning course

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coding-challenges

My solutions to coding challenges

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awesome-raymond-hettinger

A curated list of awesome Raymond Hettinger talks.

nlp-cookbook

Applying NLP to solve business problems

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quotes_from_others

A collection of quotes I like

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course-directory

Directory of courses I have developed and delivered

quotes_from_me

Collection of quotes by me (possibly)

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streamlit_examples

Examples of Streamlit apps

teaching_materials

Collection of teaching related documents

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fibonacci_sequences

Fibonacci sequences for fun & profit

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knowledge-graph-workshop

1-day workshop on knowledge graphs (KG): Learn the theory and hands-on coding

llm_examples

Applied examples of large language models (LLM)

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logistic_regression_intro

A brief introduction to logistic regression

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mermaid_examples

Mermaid creates diagrams and visualizations based on a text language similar to Markdown.

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naive_bayes_intro

Introduction to Naive Bayes - a Machine Learning Classification Algorithm

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nbgrader_utilities_for_canvas

Utilities to automatically run nbgrader and post scores to Canvas LMS

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scikit-learn-pipeline-intro

A quick introduction to writing more robust machine learning code with scikit-learn's pipelines.

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algorithm_design_manual_in_python

The Algorithm Design Manual (3rd ed.) in Python

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brianspiering

About me (Brian Spiering)

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data_ethics_intro

A short lesson on data ethics with a focus on quantitatively measuring bias

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deep-learning-course

Deep learning course: Fundementals and applications

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intro_to_linked_lists

An introduction to linked lists in Python

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regression_assignment

Regression assignment that uses nbgrader

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ReinforcementLearning_Chatbots

Code accompanying the paper: Elena Ricciardelli, Debmalya Biswas. Self-improving Chatbots based on Reinforcement Learning. In proceedings of the 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Montreal, 2019

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