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01-introduction.ipynb

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02-supervised-learning.ipynb

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03-unsupervised-learning.ipynb

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04-representing-data-feature-engineering.ipynb

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05-model-evaluation-and-improvement.ipynb

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06-algorithm-chains-and-pipelines.ipynb

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07-working-with-text-data.ipynb

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08-conclusion.ipynb

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"hide_input": false
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},
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"source": [
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"# Outlook\n",
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"## Approaching a machine learning problem\n",
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"## Humans in the loop"
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"## Outlook\n",
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"### Approaching a machine learning problem\n",
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"### Humans in the loop"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## From prototype to production"
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"### From prototype to production"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Testing production systems"
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"### Testing production systems"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Building your own estimator"
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"### Building your own estimator"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Where to go from here\n",
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"## Theory\n",
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"## Other machine learning frameworks and packages\n",
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"## Ranking, recommender systems, time series, and other kinds of learning\n",
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"## Probabilistic modeling, inference and probabilistic programming"
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"### Where to go from here\n",
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"#### Theory\n",
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"#### Other machine learning frameworks and packages\n",
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"#### Ranking, recommender systems, time series, and other kinds of learning\n",
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"#### Probabilistic modeling, inference and probabilistic programming"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Neural Networks"
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"#### Neural Networks"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Scaling to larger datasets"
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"#### Scaling to larger datasets"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Honing your skills"
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"#### Honing your skills"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Conclusion"
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"#### Conclusion"
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]
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python [Root]",
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"language": "python",
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"name": "python3"
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"name": "Python [Root]"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.1"
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"version": "3.5.2"
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}
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},
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"nbformat": 4,

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