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README.md

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@@ -7,6 +7,8 @@ Please head to [www.deeplearningwizard.com](https://www.deeplearningwizard.com/)
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## Repository Details
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This repository contains all the notesbooks and mkdocs markdown files of the tutorials covering machine learning, deep learning, scalable database, programming, data processing and data visualization powering the website.
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Take note this is an early work in progress, do be patient as we gradually upload our guides.
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## Sections and Subsections
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- [Deep Learning and Deep Reinforcement Learning Tutorials (Libraries: Python, PyTorch, Gym, NumPy and Matplotlib)](https://www.deeplearningwizard.com/deep_learning/intro/)
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- [Course Progression](https://www.deeplearningwizard.com/deep_learning/course_progression/)
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- [Supervised to Reinforcement Learning](https://www.deeplearningwizard.com/deep_learning/deep_reinforcement_learning_pytorch/supervised_to_rl/)
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- [Markov Decision Processes and Bellman Equations](https://www.deeplearningwizard.com/deep_learning/deep_reinforcement_learning_pytorch/bellman_mdp/)
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- [Dynamic Programming](https://www.deeplearningwizard.com/deep_learning/deep_reinforcement_learning_pytorch/dynamic_programming_frozenlake/)
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- [Programming Tutorials (Libraries: C++, Python, Bash and more)](https://www.deeplearningwizard.com/programming/intro/)
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- [Scalable Database Tutorials (Libraries: Apache Cassandra, Bash and Python)](https://www.deeplearningwizard.com/database/intro/)
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- [Apache Cassandra Cluster Setup](https://www.deeplearningwizard.com/database/setting_up_cluster/)
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## Always Latest PyTorch Version
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We always provide the latest PyTorch version (0.4/1.0) so that you will be learning up-to-date code!
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## About Deep Learning Wizard
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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.
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docs/programming/cpp/cpp.ipynb

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"metadata": {},
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"source": [
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"#### Multiply Two Numbers 1000 and 67\n",
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"- Notice how you don't get 66,000? This is because our variable `value` of `ushortint` type can only hold values up to the integer 65,536.\n",
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"- Notice how you don't get 67,000? This is because our variable `value` of `ushortint` type can only hold values up to the integer 65,536.\n",
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"- What this returns is the remainder of 67,000 - 65,536 = 1464"
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]
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},

docs/programming/cpp/cpp.md

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#### Multiply Two Numbers 1000 and 67
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- Notice how you don't get 66,000? This is because our variable `value` of `ushortint` type can only hold values up to the integer 65,536.
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- Notice how you don't get 67,000? This is because our variable `value` of `ushortint` type can only hold values up to the integer 65,536.
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- What this returns is the remainder of 67,000 - 65,536 = 1464
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docs/programming/intro.md

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# Programming
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We'll be covering C++, Python, Bash, Pandas, NumPy and more critical for end-to-end AI deployments.
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We'll be covering C++, Python, Bash, Pandas, NumPy and more for end-to-end AI deployments.
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!!! info "Work in progress"
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This open-source portion is still a work in progress. Stay tuned while we gradually upload our tutorials and notes. Feel free to contact [Ritchie Ng](https://www.ritchieng.com/) if you would like to contribute via our [Facebook](https://www.facebook.com/DeepLearningWizard/) page.

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