Aryell Alkire has narrated 4 audiobooks on Listento.it by 3 authors, with an average listener rating of 3.5★ across 2 ratings. The most-rated is The Ancient Egyptian Book of the Dead.
The Ancient Egyptian Book of the Dead
Summary
The Ancient Egyptian Book of the Dead is a compendium of classic texts by one of the greatest translators and historians of ancient Egypt, as well as one of the most renowned Egyptologists of all time, E.A. Wallis Budge. Discover the magic of ancient Egypt in this comprehensive text. In Part I, using plain, easy-to-understand language, Budge delves into the history, instructions, motifs, themes, spells, incantations, and charms written for the dead that ancient Egyptians would need to employ to pass from this world into the next. Throughout centuries, these "books of the dead man" were often found buried alongside mummies and inside tombs, which locals and grave robbers would collect. In Part II, Budge's classic translation of the Book of the Dead from the Papyrus of Ani (and others) is presented in its original format and contains the prayers, incantations, and ancient text used to help guide the dead during their journey. Finally, in Part III, a list of Egyptian deities is provided. Illustrated throughout with great care, including photos, fine art, and other illustrations, this edition will bring the historic afterlife guide back to life. PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©1934 E. A. Wallis Budge (P)2020 Sekta
The Life and Revelations of Saint Gertrude
Summary
It was said that after the Blessed Sacrament, the Lord was most pleased to dwell in the heart and soul of this saint. As a result St. Gertrude the Great (1256-1302) is the only one who has the name "great" in her title. A classic of Catholic literature, this book records the life and the revelations of St. Gertrude, a German Benedictine nun. In these revelations she is given a clear picture of heaven along with advise for those seeking to advance in the spiritual life. The revelations are said to be authorized by the Lord himself at the end of the work and are officially recognized by the church.
Public Domain (P)2020 Patristic Publishing
Introduction to Machine Learning with Python
Summary
This book gives a layman explanation for machine learning using Python. We will explain a lot of basic machine-learning topics using Python code. There are a lot of examples that we can use to master the skill of data science. This book will help you understand the basic algorithms that machine learning deals with. There are a lot of concepts that can be used to acquire advanced skills in data science and its subsequent subfields. In the first chapter, we will discuss very basics and introduce the Python environment for the users. There are certain basic principles that can be learned using the book. We will then discuss data-processing techniques, which are very important for a good machine-learning model. We will introduce pandas and NumPy models to the listener, along with their use cases. We will also try to expand our knowledge using machine-learning algorithms that are described in the book. In the next sections, we will learn about machine-learning models. The last two chapters will give a practical point of view to what we have discussed. Below, we explain the most important concepts we discussed in this book in no particular order. Introduction to machine learning and Python environment Introduction to NumPy, Python, and other machine-learning Python modules Introduction to data-processing techniques in detail Introduction to data visualization in detail - we will learn about histogram and pie in detail We will learn about a lot of machine-learning algorithms, like regression analysis, decision trees, support vector machine, and others in detail We will also discuss other algorithms in brief We will learn about ensemble modeling in detailed in the chapters inside We will give a few use-cases to it We will also discuss hyperparameter-turning in detail We will next learn about machine-learning project structure, pipelines, and other advanced topics in the last chapter So why are you still waiting? Go buy it!
©2020 Deborah Oliver (P)2020 Deborah Oliver
Statistics for Beginners
Summary
This is a book that explains all statistical concepts in layman terms. We will discuss concepts like ratio, average, the proportion to very basic concepts like median, mode, and mean. We will then start discussing scatter plot and box plots along with concepts like variance analysis and a chi-square test that are important to understand statistics better. We will also discuss various statistical teaching methods along with a lot of examples and equations. Statistics is a tough topic so we explain them in simple words which can make us understand the things better. We also discuss charts that visualizing statistics with a lot of examples like pie chart, histogram, line chart, etc. First of all, we will start with a basic introduction to statistics and all the topics we are going to cover The first chapter deals with all basic concepts. We will discuss something that deals with everything in statistics The next chapters deal with the visualization concepts of statistics. We will discuss histograms, line graphs, and a lot of other topics. We will discuss analysis concepts like median, mode, and all other stuff that will help us understand advanced concepts. The next chapter deals with testing procedures which is a basic concept in statistics for testing purposes. The next chapter deals with variance analysis and chi-square test in detail. The last chapter deals with a lot of statistical concepts that coincide with data science like Linear regression and other topics. So why are you waiting? Let us dive into the topic.
©2020 Deborah Oliver (P)2020 Deborah Oliver