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The Handbook of Data Science and AI
Regular price $89.99 Save $-89.99Data Science, Big Data, Artificial Intelligence and Generative AI 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:
- Understand crucial data science concepts, from statistics and mathematics to legal and ethical considerations.
- Learn how to build data platforms and deploy safe and robust data projects to production.
- Gain the vocabulary to communicate technical requirements and roadmaps to diverse business stakeholders.
- Dive into practical case studies that illustrate how knowledge generated from data is changing various industries over the long term.
The team of authors consists of data experts from business and academia, including data scientists, engineers, business leaders and legal experts. Their broad, deep guide to all aspects of working with data and AI includes:
- Machine Learning Fundamentals: Foundations of mathematics and statistics, plus common frameworks for applying ML in practice: from statistical ML to neural networks, Transformers and AutoML
- Natural Language Processing and Computer Vision: How to extract valuable insights from text, images and video data, and put it to use in real world applications
- Foundation Models and Generative AI: Understand the strengths, challenges, and practical considerations for working with generative models for text, image, video, and other types of data
- Modeling and Simulation: Model the behavior of complex systems and do a What-If analysis covering different scenarios
- Data Science, ML and AI in production: How can you use cloud and database technologies and MLOps to turn experimentation into a working data product?
- Talking about Data: Communication and presentation skills for effective data teams and innovative business leaders
- Building Safe, Responsible AI: Best practices in ML Security; safeguarding generative AI models from attack; and how to adhere to GDPR, CCPA, and the new AI act
All authors are members of the Vienna Data Science Group (VDSG), an NGO that aims to establish a platform for exchanging knowledge on the application of data science, AI and Machine Learning and raising awareness of the opportunities and potential risks of these technologies.

Injection Molding for Practitioners
Regular price $99.99 Save $-99.99Practical and easy to understand, this book describes the injection molding process and the settings of the injection molding machine to produce high-quality injection molded parts. It is intended as a guide for the machine operator and provides clear instructions for process optimization.
How exactly does injection molding work? How do you set up the machine optimally? How do you produce a high-quality injection molded part? The book conveys all of this in an easy-to-understand form.
The common special processes are described in detail and the necessary additional physical principles are explained. The chapter “Optimization of Quality” describes how quality can be documented and which tools are available for quality optimization. This also includes artificial intelligence (SPC, EVOP). The ever-more important topic of sustainability is also covered in a separate chapter.

The Handbook of Data Science and AI
Regular price $59.99 Save $-59.99Data 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
The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term.
Contains these current issues:
- 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

Plastics Injection Molding
Regular price $144.99 Save $-144.99
Polymeric Materials
Regular price $109.99 Save $-109.99
Understanding Blow Molding 2E
Regular price $109.99 Save $-109.99
Understanding Extrusion 3E
Regular price $144.99 Save $-144.99
A Practical Approach to Scientific Molding
Regular price $79.99 Save $-79.99This easy-to-understand guide provides the necessary information to implement a scientific molding program. It is a hands-on reference for people on the molding floor, including those previously lacking theoretical background or formal education.
The book covers how the injection molding machine prepares the plastic and understanding of plastic flow. The functions of the main machine components are explained and understanding of correct procedures and testing is developed. Each step of the process is clearly explained in a step-by-step manner, and simple examples of important calculations are provided. The practical approach is augmented by useful guides for troubleshooting and machine set-up.
An Excel spreadsheet with a process test and a machine performance test is available as bonus material. The 2nd edition has various updates, improvements, and corrections throughout.

Understanding Plastics Engineering Calculations
Regular price $109.99 Save $-109.99
3D Printing 2E
Regular price $99.99 Save $-99.99
Injection Molding Processing Data 2E
Regular price $16.99 Save $-16.99
Simple Methods for Identification of Plastics 5E
Regular price $54.99 Save $-54.99
Quality Gaging Tips
Regular price $49.99 Save $-49.99
User's Guide to Plastic 2E
Regular price $54.99 Save $-54.99
Understanding Plastics Recycling 2E
Regular price $99.99 Save $-99.99