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Cassandra.Link

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8/5/2020

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ritchieng/deep-learning-wizard

by ritchieng

Start Learning NowPlease head to www.deeplearningwizard.com to start learning! It is mobile/tablet friendly and open-source.Repository DetailsThis repository contains all the notebooks and mkdocs markdown files of the tutorials covering machine learning, deep learning, scalable database, programming, data processing and data visualization powering the website.Take note this is an early work in progress, do be patient as we gradually upload our guides.Sections and SubsectionsDeep Learning and Deep Reinforcement Learning Tutorials (Libraries: Python, PyTorch, Gym, NumPy, Matplotlib and more)Course ProgressionMatricesGradientsLinear RegressionLogistic RegressionFeedforward Neural Network (FNN)Convolutional Neural Network (CNN)Recurrent Neural Network (RNN)Long Short-Term Memory Network (LSTM)Autoencoders (AE)Fully Connected Overcomplete AutoencodersDerivative, Gradient and JacobianForward- and Backward-propagation and Gradient Descent (From Scratch FNN Regression)From Scratch Logistic Regression ClassificationFrom Scratch CNN ClassificationLearning Rate SchedulingOptimization AlgorithmsWeight Initialization and Activation FunctionsSupervised to Reinforcement LearningMarkov Decision Processes and Bellman EquationsDynamic ProgrammingSpeed Optimization Basics NumbaMachine Learning Tutorials (Libraries: Python, cuDF RAPIDS, cuML RAPIDS, pandas, numpy, scikit-learn and more)GPU DataFramesCPU/GPU Fractional DifferencingProgramming Tutorials (Libraries: C++, Python, Bash and more)C++BashPythonJavascriptElectronScalable Database Tutorials (Libraries: Apache Cassandra, Bash, Python and more)Apache Cassandra Cluster SetupCPU to GPU Production-level Pipeline for AIAt Deep Learning Wizard, we cover the basics of some parts of the whole tech stack for production-level CPU/GPU-powered AI.The following pipeline is created by Ritchie Ng and it's currently being deployed at production-level at firms around the world including ensemblecap.ai where it powers multi-million dollar trades daily. This AI pipeline is entirely based on open-source distributions.This stack would get you started, and enable you to adjust the stack according to your needs.About Deep Learning WizardWe deploy a top-down approach that enables you to grasp deep learning theories and code easily and quickly. We have open-sourced all our materials through our Deep Learning Wizard Wikipedia. For visual learners, feel free to sign up for our video course and join over 2300 deep learning wizards.To this date, we have taught thousands of students across more than 120+ countries from students in high school to postgraduates and professionals in leading MNCs and research institutions around the world.ContributionWe are openly calling people to contribute to this repository for errors. Feel free to create a pull request.Main ContributorRitchie NgEditors and SupportersBugs and ImprovementsFeel free to report bugs and improvements via issues. Or just simply try to pull to make any improvements/corrections.CitationIf you find the materials useful, like the diagrams or content, feel free to cite this repository.

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DOI

Start Learning Now

Please head to www.deeplearningwizard.com to start learning! It is mobile/tablet friendly and open-source.

Repository Details

This repository contains all the notebooks and mkdocs markdown files of the tutorials covering machine learning, deep learning, scalable database, programming, data processing and data visualization powering the website.

Take note this is an early work in progress, do be patient as we gradually upload our guides.

Sections and Subsections

CPU to GPU Production-level Pipeline for AI

At Deep Learning Wizard, we cover the basics of some parts of the whole tech stack for production-level CPU/GPU-powered AI.

The following pipeline is created by Ritchie Ng and it's currently being deployed at production-level at firms around the world including ensemblecap.ai where it powers multi-million dollar trades daily. This AI pipeline is entirely based on open-source distributions.

This stack would get you started, and enable you to adjust the stack according to your needs.

About Deep Learning Wizard

We deploy a top-down approach that enables you to grasp deep learning theories and code easily and quickly. We have open-sourced all our materials through our Deep Learning Wizard Wikipedia. For visual learners, feel free to sign up for our video course and join over 2300 deep learning wizards.

To this date, we have taught thousands of students across more than 120+ countries from students in high school to postgraduates and professionals in leading MNCs and research institutions around the world.

Contribution

We are openly calling people to contribute to this repository for errors. Feel free to create a pull request.

Main Contributor

Ritchie Ng

Editors and Supporters

Bugs and Improvements

Feel free to report bugs and improvements via issues. Or just simply try to pull to make any improvements/corrections.

Citation

If you find the materials useful, like the diagrams or content, feel free to cite this repository.

DOI

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