Artificial Intelligence and Big Data Science [Q2, 2019]

Introduction
- From Big Data to AI via Data Science
  - Data-driven Decision Making for Data-driven Organizations
  - What are Big Data, Data Science and AI?
  - How do Big Data, Data Science and AI support Data-driven Decision Making?
  - Who is using Big Data, Data Science and AI?
- Success story: The Big Data Science & AI Behind Netflix’s “House of Cards”
Diving into AI
- solving problems the AI way
  - coding vs. machine learning/AI
  - Gradient Descent as a general procedure
- Addressing dynamic pricing with linear regression (supervised machine learning)
  - what is the relationship is not linear? Polinomial fitting vs. axis transforamtion (a circle is a line in x² X y²)
- Placing shops given distribution of buyers with desired segment solution using k-means (unsupervised machine learning)
  - does this always work?!? no … same data -> different cluster algorithm -> different clusters
- From a single neuron to deep learning visually using tensorflow playgroundhttps://playground.tensorflow.org
  - single neuron classification of two groups that can be separated by a single line
  - single neuron classification of two groups that can be separated by a circle in x² X y²
  - classification of two groups that can be separated by a circle using multiple neurons (each tracing a line)
    - basic implementation using sigmoid attivation function (converges in 300 epochs)
    - optimized implementation using ReLU attivation function (converges in 30 epochs)
  - complex classification
    - a sigle layer of neurons hardly works (even if in theory enough neurons do)
    - multiple layers (deep learning) easily solves the problem
Final discussion
- beware confirmation bias
- Ethics and legal implications