Written by: Igor Korotach

Data Engineering & Data Science

What is the aim of Data Engineering?

Data engineering is a subdiscipline that focuses directly on the transportation, transformation, and storage of data.

What is Data Science?

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data.

Data-oriented system architecture

Machine learning? Deep learning? AI? Tensorflow?

What is machine learning?

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed

Deep learning?

Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.

Machine learning vs Deep learning

To recap the differences between the two:

  • Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned
     
  • Deep learning structures algorithms in layers to create an "artificial neural network” that can learn and make intelligent decisions on its own

What is AI?

Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.

Visualizing data

Visualizing data in Python

import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4], [1, 4, 9, 16], 'ro')
plt.axis([0, 6, 0, 20])
plt.show()

Visualizing data in JS

Thanks for your attention. You've been awesome!

Questions?

Presentation link: https://slides.com/emulebest/de-ds

Mail: igorkorotach@gmail.com

Telegram: @emulebest

Data Engineering & Data Science

By Igor Korotach

Data Engineering & Data Science

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