Deep Learning - Introduction and Bibliography

What is Deep Learning?

Deep learning is a form of machine learning for nonlinear high dimensional data reduction and prediction.

Using  Bayesian probabilistic perspective in deep learning provides a number of advantages. Specifically statistical interpretation and properties, more efficient algorithms for optimisation and
hyper-parameter tuning, and an explanation of predictive performance. 

Traditional high dimensional statistical techniques; principal component analysis (PCA), partial least squares (PLS), reduced rank regression (RRR), projection pursuit regression (PPR) are shallow learners.

Their deep learning counterparts exploit multiple layers of of data reduction which leads to performance gains. Stochastic gradient descent (SGD) training and optimisation and Dropout (DO) provides model and variable selection. Bayesian regularization is central to finding networks and provides a framework for optimal bias-variance trade-off to achieve good out-of sample performance.

To illustrate the use of bayesian perspective,  an analysis of first time international bookings on Airbnb. is presented in the paper.


https://arxiv.org/pdf/1706.00473.pdf



Deep Learning Introduction
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How to get started with Deep Learning for Data Science?



-1. Learn Python and R ;)

0. Andrew Ng and Coursera

- https://lnkd.in/eUe9YZE

1. Siraj Raval: YouTube channel. Specifically this playlists:

- The Math of Intelligence: https://lnkd.in/eYPJbsW

- Intro to Deep Learning: https://lnkd.in/e4Sg9qy

2. François Chollet's book: Deep Learning with Python (and R soon):

- https://lnkd.in/gfV2ery
- https://lnkd.in/e6_YGqx

3. IBM Cognitive Class:

- https://lnkd.in/eNKPSnJ
- https://lnkd.in/eBVRf-R

4. Medium blogs:

- https://lnkd.in/eaUx5aN
- https://lnkd.in/eGaQwts

5. DataCamp:

- https://lnkd.in/eWVz7e5
- https://lnkd.in/ezXBq6M

Info collected from a Linkedin Post

https://www.linkedin.com/feed/update/urn:li:activity:6363784952114401280

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Updated 21 July 2021,  2 February 2018
5 June 2017