The aim of "Artificial Intelligence in Python" is to make AI accessible and easy to understand for people with little to no programming experience through practical exercises. It introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence.

Format: Hardback
Length: 336 pages
Publication date: 17 March 2022
Publisher: Springer Verlag, Singapore

Introduction to Artificial Intelligence and Data Science

Entering the field of artificial intelligence and data science can be daunting for beginners, especially those with little to no prior background, and even those without programming experience. The concepts used in self-driving cars and virtual assistants like Amazon's Alexa may seem complex and difficult to grasp. However, the aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience through practical exercises.

Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence. This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners.

Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.

What You Will Learn

By the end of this book, you will have gained a solid foundation in Python programming and artificial intelligence. You will be able to create your own AI systems and apply them to real-world problems. You will also have a deeper understanding of the key concepts and techniques used in AI, such as neural networks, machine learning, and natural language processing.

In addition, you will have hands-on experience with various AI frameworks and libraries, such as TensorFlow, PyTorch, and Scikit-Learn. You will be able to apply these frameworks to build your own AI applications, such as chatbots, image recognition systems, and recommendation engines.

Who This Book Is For

This book is designed for beginners who want to learn artificial intelligence and data science. It is ideal for students, professionals, and anyone who is interested in developing their skills in these fields. No prior programming experience is required, but a basic understanding of mathematics and computer science is helpful.

Getting Started

To get started with this book, you will need a computer with Python installed. You can download Python from the official Python website ({URL}). You will also need an IDE (Integrated Development Environment) such as PyCharm, Visual Studio Code, or Jupyter Notebook.

Once you have the necessary software installed, you can begin reading the book and working through the exercises. Each chapter includes a summary, exercises, and solutions. You can also refer to the online resources provided for further assistance.

Conclusion

Artificial intelligence and data science are rapidly evolving fields with endless possibilities. By learning Python and applying it to AI, you can unlock the power of these technologies and create innovative solutions to real-world problems. This book will provide you with the necessary skills and knowledge to get started on your journey into AI and data science.

Weight: 693g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811686146
Edition number: 1st ed. 2022