By combining a platform for creating and operating interactive, real-time 3D content with machine learning tools, you can use the 3D world you create to train a machine learning model, kind of like it's the real world. It's not actually like the real world, but it's fun to imagine, and there are some legitimately useful connections to the real world (such as being able to generate both data for use in real-world machine learning applications, as well as models that can be transposed to physical, real-world objects, like robots). Combining Unity with machine learning is a great way to create both simulations and synthetic data, which are the two different topics we cover in this book. We wrote this book for programmers and software engineers who are interested in machine learning, but are not necessarily machine learning engineers. If you have a passing interest in machine learning, or are starting to work more in the machine learning space, then this book is for you.

There are lot of Machine Learning tutorials present online however, we always face one issue (the one I faced:P) that is the order of tutorial. And I believe that "Learning without a vision is a waste". Because there are so many things to learn in this world and if we gather info & learn anything without a goal, we will be going to waste our time and eventually forget what we learnt. Everyone has different opinion but this is what I believe. Hence, I have curated a list of free Machine Learning Ebooks from different sources.

Working with real data means that you need to get real insight for your business; don't let the essential information slip out of your grasp - the world of machine learning awaits you! Here is a list of Packt's latest Machine Learning eBooks to help you stay updated with the technology. Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals written by Zsolt Nagy begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples.

The data you feed into algorithms is what they learn from, so understanding the context of your data and transforming it to make it useful are crucial tasks. The "Data Best Practices in Machine Learning" eBook is an introduction to data topics you should familiarize yourself with before getting started with machine learning. They include how to frame your problem, understanding data semantics, data preparation methods, and more. Download the eBook to learn more.

The applications for machine learning are fascinating, practical, and seemingly endless. You can even build your own machine learning systems using open source libraries. For one week only, SAVE 50% on select machine learning and Python ebooks and video training and start transforming your data into actionable knowledge. You get free lifetime access, multiple file formats, and free updates. Use discount code WKMLPY - Deal expires July 14, 2016 at 5AM PT, and cannot be combined with other offers.