Books

“For years we were pregnant of Virtual Health(care), and now during this pandemic it came to life by an acute c-section”, A guide into and about healthcare-innovation from the perspective of an innovator on the forefront for almost 40 years. Lessons learned, bruses explained, making the case for structual innovation on the edge of the sector.

In these eye-opening books, award-winning statistician and author Lee Baker reveals the secrets of how the statistical hustlers use numbers, stats, graphs and charts to manipulate and misrepresent for political or commercial gain – and often get away with it.

This book describes 15 practical applications of Human Complexity in the context of software and digital products development. And suggests a new strategy for introducing Complexity thinking to your team and your organisation. The book is for leaders, managers, facilitators, change agents (Scrum Masters, Agile Coaches), and team members.

In Errors of Regression Models you’ll learn how to choose the most appropriate statistics to measure the accuracy of your regression-based prediction model.Written in plain English with no technical jargon, Errors of Regression Models is perfect for beginners!Discover how to measure the accuracy of your regression models quickly and effectively.

The immune system is the first line of defense of our body against an alien microorganism entering the body. Stronger your immune system, lesser would be the chance of you falling ill. But then again, having a strong immune system doesn’t make you invincible.

We live in a universe of 3-dimensional, surrounded by forces of 6-dimensional. But, it is almost impossible for us to go higher than the tenth dimension.

Lastly, there is no such thing as Hawking Radiation. Quantum Gravity takes into accountability the forces of black holes, anti - radiation and energy that follows as a result of the interaction of three of the four forces of nature.

Lastly, there is no such thing as Hawking Radiation. Quantum Gravity takes into accountability the forces of black holes, anti - radiation and energy that follows as a result of the interaction of three of the four forces of nature.

"Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks." - Stephen Hawking. Learn how to solve real-world problems with Deep Learning models (NLP, Computer Vision, and Time Series). Go from prototyping to deployment with PyTorch and Python!

These three-volume book series cover a wide variety of topics in machine learning focusing on supervised and unsupervised learning, intended for data scientist and machine learning experts providing a very concise description of the scikit-learn library. The first volume covers the generalized linear models (linear & logistic regression).

Die Onlinepräsenz einer Hochschule erfüllt viele unterschiedliche Funktionen. Eine wesentlich ist es in einem immer internationaler werdenden Umfeld, einen Beitrag zur Akquisition neuer Studierenden zu leisten. Doch wie unterschiedlich sind die Online Auftritte in den verschiedenen Ländern und wo bestehen Nachholbedarfe?

Build Machine Learning models (especially Deep Neural Networks) that you can easily integrate with existing or new web apps. Think of your ReactJs, Vue, or Angular app enhanced with the power of Machine Learning models.

Wenn du die Grundlagen der Mathematik endlich verstehen willst, dann ist das Buch genau das richtige für dich!

The present work is an arithmetic treatment of the principles of permutations, combinations and probability with a large number (more than 3000) of solved examples. Based on a purely arithmetic basis, the present elementary treatise will be intelligible to a reader who has no knowledge of mathematics.

"What I cannot create, I do not understand" - Richard Feynman This book will guide you on your journey to deeper Machine Learning understanding by developing algorithms in Python from scratch! Learn why and when Machine learning is the right tool for the job and how to improve low performing models!