Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring:
- A comprehensive overview of the various fields of application of data science
- Case studies from practice to make the described concepts tangible
- Practical examples to help you carry out simple data analysis projects
- BONUS in print edition: E-Book inside
- Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms
- Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice
- Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies
- Computer vision: How can we gain insights from images and videos with data science
- Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios
- ML and AI in production: How to turn experimentation into a working data science product? Presenting your results: Essential presentation techniques for data scientists