Executive Insights: Smart Analytics for Decision-Making

About Course

The course is specially designed for project leaders and heads of departments whose work is indirectly related to large volumes of data.

There is a lot of hype around Big Data right now. In this course we will try to figure out what really stands behind this fashionable concept and how Big Data can be useful to you and your company, namely:

1. Let’s understand the terminology.
2. We will study the main technologies and directions.
3. Understand the requirements for Big Data specialists.

Course Content

Introduction

Why do we need so much data? History of machine learning
The machine is learning. What’s the benefit?

What have we achieved in Big Data

Autopilot, translators and speech recognition
Generation of videos and photos
Improved graphics and added objects
How neural networks teach each other. GAN
Why neural networks love cats and dogs. Part 1
Why neural networks love cats and dogs. Example analysis
Reinforcement learning. Theory
Reinforcement learning. Example analysis
Learning under conditions of uncertainty. Part 1
Learning under conditions of uncertainty. Part 2
Instead of output

Basic concepts and processes in Big Data

Data Science

What is Data Science. EDA vs PDA
Machine learning. How it works
Types of machine learning. Unsupervised learning
Tutored training
How a model learns
A clear example of machine learning. Retraining
Basic Machine Learning Metrics
Additional metrics
Recommender systems
Deep learning
Features and prospects of deep learning

How to build work with Big Data in a company

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