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Pattern Recognition and Machine Learning
This is the first text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It provides the first text to use graphical models to describe probability distributions when there are no other books that apply graphical models to machine learning. It is also the first four-color book on pattern recognition. The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher.
Pattern Recognition and Machine Learning
The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.
Model-Based Machine Learning
Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system. The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications th...
Africa’s Billionaires
A masterclass in becoming a wealth-generating entrepreneur! Do you have what it takes to become a billionaire? Written by the founder of Forbes Africa, this is a masterclass on how the brightest and most successful entrepreneurs across Africa made their fortunes, as well as a timely look at how the work of entrepreneurs can influence lives in Africa and create the jobs that empty state coffers can no longer afford. Chris Bishop gets up close and personal with the biggest names in business on the continent: Aliko Dangote, Patrice Motsepe, Nicky Oppenheimer, Christo Wiese, Wendy Appelbaum and Stephen Saad, among others. These are the stories of how they not only survived, but thrived, in the f...
Bloodlines
WESSEX 893 ADAs the threat of yet another Viking invasion looms over his troubled realm, Alfred, King of Wessex, reviews and strengthens his defences.Among his many concerns is the fate of Edward, his stable boy, who he believes to be the bastard son of revered warrior Matthew, who died serving the Saxon cause. If his heritage can be proved, Edward is not only heir to vast fortune but, more importantly, he has the blood of a warrior in his veins - something the Saxons are likely to need in spades.More worryingly, Alfred fears that if Edward's true lineage ever became known, there would be those who might seek to exploit him or, worse still, use him to usurp Alfred's rule. He confides in just...
Neural Networks for Pattern Recognition
Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.
Blood and Destiny
I lived in a troubled time, when the shores of this land were ravaged by fierce, blood-crazed raiders who feared nothing, not even death itself. It is 878, and Wessex stands alone against Guthrum's Viking hordes as all England cowers beneath their raven banner. With most of his army destroyed following a surprise attack at Chippenham, Alfred, King of Wessex, retreats to the desolate marshes at Athelney. Whilst few believe he can ever restore the kingdom, he remains determined no matter the cost. Among the small band of weary survivors is Matthew, a novice monk who must learn to fight like a warrior if he, along with his brother and fellow Saxons, are to have any chance of defeating the Vikings. As the impending battle looms, Matthew is charged with a vital role that means he must face danger and betrayal and undertake a hazardous journey during which his faith will face the ultimate test.
The Warrior with the Pierced Heart
Monk turned warrior Matthew marches ahead of King Alfred to Exeter, to herald the King's triumphant return to the city, marking his great victory at Edington. It should have been a journey of just five or perhaps six days but, as Matthew is to find to his cost, in life the road you're given to travel is seldom what you wish for--and never what you expect. Chris Bishop deposits readers into the middle of Saxon Britain, where battles rage and life is cheap. An early confrontation leaves Matthew wounded, but found and tended by a woodland-dwelling healer he survives, albeit with the warning that the damage to his heart will eventually take his life. Matthew faces many challenges as he battles to make his way back to Chippenham to be reunited with King Alfred and also with the woman he wants to make his wife. This is an epic tale of triumph over adversity as we will the warrior with the pierced heart to make it back to those he loves, before it is too late.
Ships
Ancient galleys, Viking longships, medieval cogs, galleasses, galleons, men-of-war sailing ships, coastal gunboats, iron-clad steam boats, dreadnoughts, aircraft carriers and nuclear submarines
