Bøker av Robert Collins

Gwen Conner's world isn't your typical fantasy setting. She solves mysteries in a land where magic is used to create telephones, dictation machines, and streetcars. It's also a world of scheming criminals, cheating spouses, and charming con artists. This collection contains fourteen Gwen Conner stories.This collection combines the previous two volumes of collected short stories into one single volume. It includes the stories "Spook Wagon," "The "Affair" of the Love Letters," and "The Plum Grove Robbery Case," among others.

Katherine, the daughter of the Baron of Tall Glen, prefers manly pursuits like riding and being able to fight. Her King enlists Kat in a secret mission to travel to a neighboring kingdom. There she will help freed slaves and keep an eye on that land. Kat finds herself in an adventure she didn't expect, and experiencing feelings she didn't think she'd feel.

Du gets her first important mission from the King. People are fleeing the kingdom of Adahilara to the Bands of the Peaks. The refugees are too many mouths for the Bands to feed, endangering the peace between the Bands and the Kingdom of the Coast.Du and her friend, Gray the dragon, are tasked to take action. While they find important help, they know that a few humans and a dragon can't launch a rebellion and overthrow a King. They could, however, use their wits and magic to undermine his rule. Will that be how they wage a rebellion?

To get out of debt, spacer Jake Bonner takes on two odd jobs. The first, chauffeur pop star Evvie Martini on her tour; the second, helping Daniel and Clarissa Rosen overthrow their planet's tyrannical ruler.Unfortunately for Jake, Evvie finds out about his second assignment and, hoping to advance her career, invites herself to the revolution. From there the absurdity grows for Jake and his band of "freedom fighters."Expert Assistance pokes fun at revolutions, pop culture, and some of the cliches of sci-fi.

This collection of fantasy stories contains tales of magic and might, as well as tales of invention and compassion. Also part of this collection are two novellas, one expressing concern for the future of the land while other portrays hope for another.These stories have been previous published in magazines and in self-published collections, as have both novellas. All are gathered in a single volume for the first time.

This book is a guide for you on how to use Scikit-Learn, a machine learning library for Python programming language. The author first helps you know what Scikit-Learn are and how to set it up on your system. You are also guided on how to load datasets into Scikit-Learn. The author has then guided you on how to use the various machine learning algorithms to implement machine learning models of different types with Scikit-Learn. Some of the algorithms that have been discussed include Support Vector Machine (SVM), Linear Regression, K-Nearest Neighbors and K-Means. In all these, practical examples have been given, hence you will know how to implement models and use them for making predictions. The content is: Getting Started with Scikit-learn Support Vector Machines in Scikit-learn Scikit-Learn Linear Regression Scikit-Learn k-Nearest Neighbors Classifier K-Means Clustering With Scikit-LearnSubjects include: python programming language, python, linear regression book, scikit-learn, scikit-learn and tensorflow, support vector machine, linear regression, k-nearest neighbor, k-means, kernel, linear regression models, data visualisation, linear regression analysis, linear regression machine learning.

The law is not on Hanna's side when her father dies, as local law prevents her from inheriting his merchant business. Her cousin, the youngest son of the Baron, asks for her help in exposing the wickedness of his older brother to their father. If she does so, he'll be in her debt. What will she do to collect on that debt?

Here are four novellas set in the world of the Defender.The first two tell of the dramatic changes that happened long before the Defenders arose when magic was weakening. The second two involve the present fate of the Witch Lands, and how magic and knowledge might improve the lives of those who live there.If you're a fan of the Defender series, you'll want to read these novellas that fill out this world!

A strange thing has happened in the eastern part of the kingdom of Hedfestyr. Three lizard-kin have built an island in the middle of a lake. Is this good for the kingdom or dire news?Queen Godwa dispatches her cousin Lefwin to meet the lizard-kin and determine their intentions. What he learns about them, about the distant past of the land, and about knowledge is general opens his eyes.Yet Hedfestyr has troublesome rivals. Will the impact of the island in the lake give the kingdom power or hope?

An urgent message has arrived for Zi and Ysina. The ape-folk they freed in their first adventure together report strange lights and missing Chiefs. Ysina is Princess and has to raise their daughter, so Zi offers to go south. Once there she tries to find the missing Chiefs, build peace with the ape-folk, and figure out why strangers from far away are so interested in the colored stones that Chiefs and their mates wear around their necks.

This book is a discussion of Markov models. The author begins by explaining what Markov models are. This helps the reader in familiarizing themselves with the basics of Markov models including states, processes, transitions and others. The various algorithms in Markov models have been discussed. You will know how to work with these algorithms when modeling systems. Markov models are applied in a wide range of fields. The author helps the reader understand how Markov models can be applied in dynamic system modeling and diagnostics. This is because Markov models can be used to identify faults in systems. You will know how to use these models to identify any faults in your systems. Markov models are also used in exploration of three-dimensional protein structure. The author helps the reader understand how this is done. The use of Markov models in neurosciences has been explored; hence you will know the various fields in neuroscience where they are applied. ECG characterization is also another application area of Markov models. This book helps you understand this process in depth. The following topics have been explored in this book: - Understanding a Markov Model- Algorithms- Dynamic System Modelling and Diagnosis- Exploration of Three-Dimensional Protein Structure- Markov Models in Neurosciences- ECG Characterization

This book is a discussion about the Bayes' Theorem. The first part of the book helps you understand what Bayes' Theorem is and the areas in which it can be applied. The derivation of Bayes' Theorem is also discussed, so you will know the various steps it takes for you to derive Bayes' Theorem. Some basic examples are then given to help you understand how you can solve them by use of Bayes' Theorem. These examples have been picked from a wide range of areas, and they are all based on the concept of conditional probability. This is a situation in which you are given the evidence and you are expected to calculate or determine the probability of a certain event occurring, or in other words, if an event A has occurred, what is the probability that event B will occur. The application of Bayes' Theorem in drug and medical tests is then discussed in detail. You will learn how to determine the probability of individuals being users of a certain drug or non-users of that drug. You will also learn how to determine the probability of individuals having certain conditions. The book also discusses the application of Bayes' Theorem when you are rolling dice. You will learn how to apply this Theorem to determine the probability of getting Heads and Tails. The book also helps you in determining if a coin toss is fair or not based on the outcome after it has occurred.Here is a preview of what you'll learn: - What is Bayes Theorem?- Basic Examples- Drug and Medical Tests- Dice and Rolls- Is the Coin Fair

This book is a guide for you on how to present data using graphics. The various tools that can be used for presenting data visually have been discussed. The author guides you on how to create various graphics using data in R programming language. The author also guides you on how to present data graphically in Python using Matplotlib and Pandas libraries. Tableau is a graphical user interface tool good for business intelligence. The tool can help its users present their data visually. The author guides you on how to create various graphics to represent your data in Tableau. Microsoft Excel is also a good tool for data analysis and visualization. The author guides you on the various ways to present your data visually in Excel.What is Data Visualization?Data Visualization in RData Visualization in PythonData Visualization with TableauData Visualization in ExcelKeywords: data visualisation r, pandas programming, data visualisation python, tableau data, matplotlib python, pandas python, pandas, data visualisation books, data visualisation for dummies, data visualisation excel, data visualization tableau, data visualization a practical introduction, tableau data visualizations.

This book is an exploration of Lean Six Sigma. Lean Six Sigma is a strategy that can be used in companies to identify the causes of defects in their processes. Whenever defects occur in a process, there must be the root cause of this. This should be identified and the necessary action taken to remedy it. With Lean Six Sigma, a company can use a number of tools to determine the possible causes of defects as well as the root cause of the same. This book helps you familiarize yourself with the various aspects of Lean Six Sigma. You will know how to detect these defects using various tools. You will also know how to implement mechanisms for monitoring processes including their weak points so that defects can be detected as early as possible and the appropriate action taken.The content of the book is: -Understanding Lean Six Sigma-The Tools-Lean Six Sigma Methodology-The Define Phase-The Measure Phase-The Analyze Phase-The Improve Phase-The Control Phase- Quality Metrics-Value Stream Mapping-Defect Reductio

Are you your own worst critic? Do you often find yourself letting doubt, fear, or worry creep into your mind? What if you had a daily accountability to encourage you throughout the day, and uplift you in those moments when you are feeling the weight of the world on your shoulders? In Greater Thoughts: An Un-Trapped Mind, discover the importance and impact of positive affirmations, and how to integrate them effortlessly into your daily life. In this book, Collins helps you to discover the power of your thoughts and how they influence your behavior, feelings, and the outcomes that you are creating within your life. In Greater Thoughts: An Un-Trapped Mind, you'll have the opportunity to explore daily practices that help you think more positively, feel more powerful, and walk more purposefully. This will ultimately allow you the power and motivation to achieve the desires of your heart and mind. We understand that a healthy body starts with a healthy mind, so Collins will work with you to enhance your mental health, allowing you to achieve heightened success in life.

This book explores the tensions which have arisen in the disapora as a result of large numbers of Russian migrants entering established overseas parishes following the collapse of the Soviet Union.

This book is an exploration of machine learning. It focuses on Bagging and Boosting machine learning algorithms, which belong to the category of ensemble learning. The author helps you firstly familiarize yourself with the ensemble method. The various aspects of the decision tree algorithm have been explored in detail. Then the author guides you on how to create and use bagged trees in machine learning. The random forest algorithm has been discussed in depth. The various types of Boosting algorithms have been explored. The author has given practical examples including mathematics and programming. Each of these examples is accompanied by clear explanation. Here is a preview of what you'll learn: - An Overview of Ensemble Method - Decision Tree Algorithm - Bagging - Random Forest - BoostingTags: bagging machine, boosting machine learning, ensemble machine learning, bagging machine learning, random forest machine learning, tree algorithms, machine learning.

Since the end of the eighteenth century, the United States has offered sanctuary and support to Irish men and women engaged in the struggle for Irish independence from Britain. When violence broke out in Northern Ireland in the late 1960s, the newly formed Provisional IRA again turned to the Irish American community for assistance. Founded in 1970, Irish Northern Aid (NORAID) became the chief moral and financial supporters of the Republican movement, raising millions of dollars. This book represents a unique examination of an organisation that was never too far from the headlines in Ireland, the UK, and the US. Featuring interviews with a number of key individuals, including former national publicity director Martin Galvin, the book combines these accounts with archival research, contemporary newspaper reports, and considerable secondary research to produce a compelling narrative that should be critical reading for anyone interested in Irish American history and the Northern Ireland Troubles.

An intimate look at the people of the prairies in Manitoba, Saskatchewan, and Alberta - who they are, how they live, what makes them a breed apartThe prairies are Robert Collins's spiritual home. He was born and raised on a Saskatchewan farm, but spent most of his adult life living elsewhere. Now he returns to his homeland to pay homage to the special character of the people who live in this unique region of Canada.Prairie People is an absorbing combination of stories, anecdotes, and touches of history told in the voices of ordinary people and linked by the author's own narrative and memories. It explores the characteristics that define these people to themselves and to the rest of Canada. Prairie people are clearly not all alike: city and town dwellers differ from farmers, farmers from ranchers, ranchers and cowboys from oilmen. But many of the stereotypes are true. They are defiantly pessimistic. They believe they are tougher than everybody else. They are uncommonly independent and self-reliant. In this sympathetic yet realistic portrait, Collins looks at where the original settlers of the prairies came from. He describes how nature shaped them, and how hard work through good times and bad toughened them. He finds evidence of their legendary friendliness and neighbourliness. And he seeks to understand their deep attachment either to the left and right in politics and their unifying distrust of "Central Canada.”