Showing results by author "Michael Brenner" in All Categories

The spectacular culinary creations of modern cuisine are the stuff of countless articles and social media feeds. But to a scientist they are also perfect pedagogical explorations into the basic scientific principles of cooking. In Science and Cooking, Harvard professors Michael Brenner, Pia Sörensen, and David Weitz bring the classroom to your kitchen to teach the physics and chemistry underlying every recipe. 

In the aftermath of Germany's defeat in World War I and the failed November Revolution of 1918-19, the conservative government of Bavaria identified Jews with left-wing radicalism. Munich became a hotbed of right-wing extremism, with synagogues under attack and Jews physically assaulted in the streets. It was here that Adolf Hitler established the Nazi movement and developed his anti-Semitic ideas. Michael Brenner provides a gripping account of how Bavaria's capital city became the testing ground for Nazism and the Final Solution.

Michael Brenner’s Mean People Suck uses real-life experience and proven research to show why, instead of blaming others, we can look inside ourselves and learn how to use empathy to defeat “mean” in every situation. This insightful guide shows leaders and employees how improving emotional communication increases profits and enhances lives.

The Content Formula answers the biggest question currently on marketers' minds: What is the ROI of content marketing? This book provides a step-by-step guide for marketers and is divided into three parts: how to build the business case for content marketing, how to find the budget to establish a new content marketing program, and how to measure content marketing success in business terms.

Machine Learning is now an essential component of many industrial uses and studies, but this field isn't exclusive to large businesses with extensive research crews. In case you are using Python, whilst a newcomer, this audiobook will educate you on practical methods to assemble your Machine Learning solutions. Considering all the current info available now, Machine Learning software is limited only by your imagination. You will study the steps required to generate a prosperous machine-learning application with Python and the sci-kit-learn library.