Rob Stephen has 3 audiobooks on Listento.it, narrated by 2 narrators, with an average listener rating of 5★ across 4 ratings. The most-rated is She-Wolves.
She-Wolves
Summary
In the tradition of Antonia Fraser, David Starkey, and Alison Weir, prize-winning historian Helen Castor delivers a compelling, eye-opening examination of women and power in England, witnessed through the lives of six women who exercised power against all odds - and one who never got the chance. Exploring the narratives of the Empress Matilda, Eleanor of Aquitaine, Isabella of France, Margaret of Anjou, and other "she-wolves," as well as that of the Nine Days' Queen, Lady Jane Grey, Castor invokes a magisterial discussion of how much - and how little - has changed through the centuries.
©2011 Helen Castor (P)2020 Tantor
Deep Learning
Summary
This book will help you to understand the realms of deep learning from A-Z. In today’s modern world, deep learning has taken over the reins of machine learning and artificial intelligence. We are all familiar with the term “Deep Learning”. But have you ever wondered what it really is? This book will cover all the major features of deep learning and how you can use it practically with the help of Python language. It has been designed as a guide to master deep learning. You will learn about the basics of deep learning, its models, supervised and unsupervised learning, how to perform GUI testing with the help of deep learning, and installing Jupyter. It also covers topics like neural networks, pattern recognition, and ANN. You will learn about predictive analysis in Python, Random forest model in Python, and common algorithms used in automation. We also cover the Speech recognition mechanism using deep learning with practical examples like Markov models, MFCC Algorithm, and DTW based recognition. Don’t know how to use Robot Framework with Python? Don’t worry. We will help you out. What about Python key points for deep learning? We got you covered. If you are looking for a guide to implement Principal Component Analysis in Python, then this book is for you. You will also learn about bulk image compression and front end GUI testing. It has been designed to prepare you to understand the word embedding in Python and linear regression modeling. So what are you waiting for? It is your chance to become a master of deep learning. Buy now.
©2020 Rob Stephen (P)2020 Rob Stephen
Raspberry Pi
Summary
Beginning from the absolute basics to gradually moving to important concepts and introducing them in a way that a novice would easily digest, this audiobook is aimed at providing quality content, laid out in a sequence to connect each thing you learn with the previous chapters. This audiobook is designed in a way to accommodate every type of person who is interested in working with a Raspberry Pi, regardless of whether they have a tech background or not. It starts by explaining and identifying the different hardware components on the Raspberry Pi’s circuit board and gradually moves toward learning how to program code on the Raspberry Pi by using both the Native Scratch programming language and the widely popular Python programming language. The book does not stop at just explaining some lines of code on the surface level. Instead, the listener is taken on an interactive journey to explore the programming capabilities of the Raspberry Pi. We also have detailed interactive examples at the end of the programming chapters, so the listener can learn how to program projects in real time. Moreover, the book also addresses the common questions and confusion one might have when trying to operate a Raspberry Pi. At the end of the chapters, there are some useful tips regarding each topic, which can be very helpful for beginners learning their way around the Raspberry Pi. Before ending our journey, we briefly delve into the world of physical computing using Raspberry Pi, making the average user more capable of designing and understanding practical projects using the Raspberry Pi as it is the perfect companion for such endeavors.
©2020 Rob Stephen (P)2020 Rob Stephen