Tales of an unremarkable engineer and the characters he met on the way at the Royal Radar Establishment Malvern and Pershore, the Royal Aircraft Establishment Farnborough and Bedford, the Aircraft and Armament Evaluation Establishment Boscombe Down, and the Defence Evaluation and Research Agency.
Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.
Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark—a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code. Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code.
Don’t let the controversy of her later personal life fool you, Liza Minnelli was once the most respected star of the musical theatre stage. Her signature role as the rough, sexy Sally Bowles in Cabaret defined a uniquely Broadway style, catapulted her to the top of the musical charts, and solidified her position in the pantheon of live performers. Special cover by famed artist Keaton Alexander Kohl.
In his study of the Tangier expatriate community, Michael K. Walonen analyzes the representations of French and Spanish Colonial North Africa by Paul Bowles, Jane Bowles, William Burroughs, Brion Gysin, and Alfred Chester during the end of the colonial era and the earliest days of post-independence. The conceptualizations of space in these authors' descriptions of Tangier, Walonen shows, share common components: an attention to the transformative potential of the conflict sweeping the region; a record of the power relations that divided space along lines of gender and ethnicity, including the spatial impact of the widespread sexual commerce between Westerners and natives; a vision of the Maghreb as a land that can be dominated or imposed on as a kind of frontier space; an expression of anxieties about the specters of Cold War antagonisms; and an embrace of the underlying logic of the market to the culture of the Maghreb. Counterbalancing the depictions of Tangier by Westerners who sought to reconcile their nostalgia for the colonial order with their support of native demands for independent governance is Walonen's extended analysis of the contrasting sense of place found in the writings of native Moroccan authors such as Mohammed Choukri, Tahar Ben Jelloun, and Anouar Majid. In its focus on Tangier and the larger Maghreb as a lived environment situated at a particular spatial and temporal crossroads, Walonen's study makes an important contribution to the fields of urban, transatlantic, and postcolonial studies.
Designed specifically for those without a specialized math or statistics background, this book simplifies machine learning by focusing on two algorithm families that effectively predict outcomes, and by showing you how to apply them using the Python programming language. --
A string of strange deaths in 1932 leads Bourke Cockran, Jr., and his lover Mattie McGary to uncover a plot by Nazi scientists to conduct lethal experiments on American twins in order to create a master race. They confront an international conspiracy connecting Wall Street to Washington, DC; from Long Island's fabled Gold Coast to the marble corridors of the Barlow Palace in Munich, headquarters of the fast-rising Nazi Party; and finally to a sinister clinic hidden deep in the Bavarian Forest. The Gemini Agenda is a historical thriller, the third in the Winston Churchill trilogy. Keywords: Churchill, Hitler, American Eugenics, Josef Mengele, Otmar von Verschuer, Anti-Semitism, Nazi
In his study of the Tangier expatriate community, Michael K. Walonen analyzes the representations of French and Spanish Colonial North Africa by Paul Bowles, Jane Bowles, William Burroughs, Brion Gysin, and Alfred Chester during the end of the colonial era and the earliest days of post-independence. The conceptualizations of space in these authors' descriptions of Tangier, Walonen shows, share common components: an attention to the transformative potential of the conflict sweeping the region; a record of the power relations that divided space along lines of gender and ethnicity, including the spatial impact of the widespread sexual commerce between Westerners and natives; a vision of the Maghreb as a land that can be dominated or imposed on as a kind of frontier space; an expression of anxieties about the specters of Cold War antagonisms; and an embrace of the underlying logic of the market to the culture of the Maghreb. Counterbalancing the depictions of Tangier by Westerners who sought to reconcile their nostalgia for the colonial order with their support of native demands for independent governance is Walonen's extended analysis of the contrasting sense of place found in the writings of native Moroccan authors such as Mohammed Choukri, Tahar Ben Jelloun, and Anouar Majid. In its focus on Tangier and the larger Maghreb as a lived environment situated at a particular spatial and temporal crossroads, Walonen's study makes an important contribution to the fields of urban, transatlantic, and postcolonial studies.
A tough, keen-edged blade of a story … powerful and moving!" ― Roger Zelazny "This episodic tale of life, war, and survival in post-meltdown Pennsylvania builds a potent new myth from the grim reality of radioactive waste. Swanwick's clean, strong prose makes the story compulsively readable." ― George R. R. Martin "A vivid, fast-paced and evocative story by one of science fiction's best new writers. A generation-spanning saga of the fight for power and survival in a chillingly possible alternate future America … one which could still yet come to pass, tomorrow or today." ― Gardner Dozois In this dystopic world, radiation from the 1979 Three Mile Island accident has contaminated all of central Pennsylvania. A century after the disaster, the fallout zone ― known as the Drift ― harbors two-headed monsters, mutated vampires, and other outcasts. In the Drift chronicles the struggles of those on both sides of the divide as they fight to survive and transcend their shattered world.
* 41 in-depth essays cover current economic theory and applied economics in a single, comprehensive volume * Interfaces section considers economics as it relates to other disciplines * Extensive notes, bibliographies and suggestions for further reading; detailed index of Topics and People `A treasure-house of stimulating argument and vast amounts of, mostly, well marshalled information. The market for general survey volumes, while already crowded, should surely find room for this offering.' - The World Economy `The work under review scores very high marks.' - The Economic Journal `The chapters are written by people who are excellently qualified and frequently well-known in their field ... The book's strengths lie in the range of contributors, the very high quality of most of the contributors and its emphasis on applied economics. For these reasons alone it is an important book, which will be invaluable both to students and to economists wishing to learn about developments in other branches of their discipline.' - Economica
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