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Updated README.md with a link to the roadmap defined inside of the docs directory #4

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Updated README.md with a link to the roadmap defined inside of the docs directory #4

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89 changes: 8 additions & 81 deletions README.md
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Expand Up @@ -5,86 +5,13 @@ These are the source files for the guide on Artificial Intelligence.
To contribute to the Artificial Intelligence Guide, please read the
[style guide](https://www.tensorflow.org/community/contribute/docs_style).

# Roadmap
To jump onto the __Artificial Intelligence__ roadmap, please click on the
[Artificial Intelligence Map](https://github.com/joshiayush/ai/tree/master/docs/roadmap.md).

<div align='center'>
<img src='docs/__design__/media/Introduction.jpg' />
</div>
## Contents

# Fundamentals

<div align='center'>
<img src='docs/__design__/media/Fundamentals.jpg' />
</div>

# Data Scientist

<div align='center'>
<img src='docs/__design__/media/Data_Science.jpg' />
</div>

# Machine Learning

<div align='center'>
<img src='docs/__design__/media/Machine_Learning.jpg' />
</div>

# Deep Learning

<div align='center'>
<img src='docs/__design__/media/Deep_Learning.jpg' />
</div>

# Data Engineer

<div align='center'>
<img src='docs/__design__/media/Data_Engineer.jpg' />
</div>

# Big Data Engineer

<div align='center'>
<img src='docs/__design__/media/Big_Data_Engineer.jpg' />
</div>

# Wrap Up

All the resources are aligned according to the roadmap inside of the [resource](ai/resource/) section of the root [ai](ai/) directory.

<!-- TODO: Auto-generate the following index when documents are generated! -->

1. [Resources](https://github.com/joshiayush/ai/tree/master/docs/resource)
1. [Required](https://github.com/joshiayush/ai/tree/master/docs/resource/required)
1. [Papers With Code](https://github.com/joshiayush/ai/blob/master/docs/resource/required/Papers-With-Code.md)
2. [Prework](https://github.com/joshiayush/ai/tree/master/docs/prework)
1. [Introduction to Machine Learning Problem Framing](https://github.com/joshiayush/ai/blob/master/docs/prework/Introduction-to-Machine-Learning-Problem-Framing.md)
2. [Framing an ML Problem](https://github.com/joshiayush/ai/blob/master/docs/prework/Framing-an-ML-problem.md)
3. [NumPy](https://github.com/joshiayush/ai/blob/master/docs/prework/NumPy.md)
4. [Pandas DataFrame](https://github.com/joshiayush/ai/blob/master/docs/prework/Pandas-DataFrame.md)
3. [Tools](https://github.com/joshiayush/ai/tree/master/docs/tools)
1. [NumPy](https://github.com/joshiayush/ai/tree/master/docs/tools/numpy)
1. [NumPy (Numerical Python)](https://github.com/joshiayush/ai/blob/master/docs/tools/numpy/NumPy-(Numerical-Python).md)
2. [Tensorflow](https://github.com/joshiayush/ai/tree/master/docs/tools/tensorflow)
1. [Image Classification](https://github.com/joshiayush/ai/blob/master/docs/tools/tensorflow/Image-classification.md)
2. [Classify Images of Clothing](https://github.com/joshiayush/ai/blob/master/docs/tools/tensorflow/Classify-images-of-clothing.md)
4. [Machine Learning](https://github.com/joshiayush/ai/tree/master/docs/ml)
1. [Introduction to ML](https://github.com/joshiayush/ai/blob/master/docs/ml/Introduction-to-ML.md)
2. [Descending into ML](https://github.com/joshiayush/ai/blob/master/docs/ml/Descending-into-ML.md)
3. [Reducing Loss](https://github.com/joshiayush/ai/blob/master/docs/ml/Reducing-Loss.md)
4. [Introduction to Tensorflow](https://github.com/joshiayush/ai/blob/master/docs/ml/Introduction-to-TensorFlow.md)
5. [Generalization](https://github.com/joshiayush/ai/blob/master/docs/ml/Generalization.md)
6. [Training and Test Sets](https://github.com/joshiayush/ai/blob/master/docs/ml/Training-and-Test-Sets.md)
7. [Validation Set](https://github.com/joshiayush/ai/blob/master/docs/ml/Validation-Set.md)
8. [Representation](https://github.com/joshiayush/ai/blob/master/docs/ml/Representation.md)
9. [Feature Crosses](https://github.com/joshiayush/ai/blob/master/docs/ml/Feature-Crosses.md)
10. [Regularization for Simplicity](https://github.com/joshiayush/ai/blob/master/docs/ml/Regularization-for-Simplicity.md)
11. [Logistic Regression](https://github.com/joshiayush/ai/blob/master/docs/ml/Logistic-Regression.md)
12. [Classification](https://github.com/joshiayush/ai/blob/master/docs/ml/Classification.md)
13. [Regularization for Sparsity](https://github.com/joshiayush/ai/blob/master/docs/ml/Regularization-for-Sparsity.md)
14. [Neural Networks](https://github.com/joshiayush/ai/blob/master/docs/ml/Neural-Networks.md)
15. Training Neural Nets
16. Multi-Class Neural Nets
17. Embeddings
5. [Algorithms](https://github.com/joshiayush/ai/tree/master/docs/algos)
1. [Correlation](https://github.com/joshiayush/ai/tree/master/docs/algos/correlation)
1. [Pearson Correlation Coefficient](https://github.com/joshiayush/ai/blob/master/docs/algos/correlation/pearson_correlation/Pearson-correlation-coefficient.md)
1. [Resources](https://github.com/joshiayush/ai/tree/master/docs/resource) (Resources required during learning)
2. [Prework](https://github.com/joshiayush/ai/tree/master/docs/prework) (A bit of prework required before starting machine learning)
3. [Tools](https://github.com/joshiayush/ai/tree/master/docs/tools) (Tools required to build machine learning models)
4. [Machine Learning](https://github.com/joshiayush/ai/tree/master/docs/ml) (A deep dive into the concepts of machine learning)
5. [Algorithms](https://github.com/joshiayush/ai/tree/master/docs/algos) (Implementation of common machine learning algorithms)
41 changes: 41 additions & 0 deletions docs/roadmap.md
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# Roadmap

<div align='center'>
<img src='__design__/media/Introduction.jpg' />
</div>

## Fundamentals

<div align='center'>
<img src='__design__/media/Fundamentals.jpg' />
</div>

## Data Scientist

<div align='center'>
<img src='__design__/media/Data_Science.jpg' />
</div>

## Machine Learning

<div align='center'>
<img src='__design__/media/Machine_Learning.jpg' />
</div>

## Deep Learning

<div align='center'>
<img src='__design__/media/Deep_Learning.jpg' />
</div>

## Data Engineer

<div align='center'>
<img src='__design__/media/Data_Engineer.jpg' />
</div>

## Big Data Engineer

<div align='center'>
<img src='__design__/media/Big_Data_Engineer.jpg' />
</div>
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