Название: 30-Second Data Science: The 50 Key Principles and Innovations in the Field of Data-Gathering, Each Explained in Half a Minute
Автор: Liberty Vittert
Издательство: Ivy Press
Год: 2020
Страниц: 163
Язык: английский
Формат: pdf (true)
Размер: 20.0 MB

30-Second Data Science is the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives.

Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to predicting epidemics. But there’s more to it than the vast quantities of information gathered by our computers, smartphones, and credit cards.

Carefully compiled by experts in the field, 30-Second Data Science covers the basic statistical principles that drive the algorithms, how data affects us in every way—science, society, business, pleasure—along with the ethical quandaries and its future promise of a better world. Each 30-Second entry details a different facet of data science in just 300 words and one picture, showing how the concept of bringing together different types of data, and using powerful computer programs to find patterns no human eye could spot, is already transforming our world.

The idea of machine learning is to teach computers to learn and improve over time in an automated manner, without the need for human assistance. Algorithms can be implemented into systems, where they can make decisions automatically, often speeding up the decision-making process and reducing the possibility of human error. Within the system, the machine learning algorithms use the data they receive to make predictions about the future, helping the system to operate and choose between different options. The algorithm then updates itself based on what it learned from the information it received, ensuring that it continues to make optimal decisions in the future. An everyday example of machine learning in action is Spotify. The music app has millions of users, and data all about the type of music those users like, based on the songs they have listened to. When a new user joins, Spotify knows very little about them and will recommend songs almost at random. But as the user listens to songs, the algorithm continually learns about the music preferences of that user and how they relate to the preferences of other users.

Exploring key ideas and featuring biographies of the people behind them, 30-Second Data Science explains clearly and concisely all you need to know about data science, from basics to ethics.