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With its unique style and fast-paced action, the popularity of the Mega Man X video game series rivals even that of the classic blue bomber. Mega Man X: Official Complete Works shines the spotlight on 25 years of artwork from this classic series and features character designs, box art, sketches, promo art and many rarely seen art pieces. Artwork of favorites like X, Zero, Axl, Sigma, and tons of evil robot badies are packed into this prestigious collection.
This title collects the artwork of all six 'Battle Network' games, as well as 'Network Transmission' and 'Operate Shooting Star'. Inside you'll find character designs, promotional art, rarely seen pieces, and plenty of creator commentary.
At over 430-pages, MM25 is the ultimate Mega Man artwork collection! MM25 collects the complete artwork behind every Mega Man and Mega Man X game, including character art, concept sketches, game covers, rare pin-ups, and much more. This new edition also features over 100-pages of never-before-published material, plus new tribute art and interviews from the creators behind the blue bomber!
Collects the spectacular artwork behind this legendary fighting game franchise. This book shows you to find character designs, game covers, promotional art, and more. And it's all topped off by a special bonus gallery featuring all-new pin-ups from the hottest artists in comics.
The Mega Man Zero series is a fan-favorite Mega Man spin-off known for it's exciting gameplay, stellar character designs, and engaging story. Mega Man Zero: Official Complete Works collects the unique artwork of the series, and is filled with character designs, concept sketches, location artwork, key visuals, item charts, creator interviews, and more! A must-have for all video game fans and inspired artists!
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Why is it so hard to make lasting changes in our companies, in our communities, and in our own lives? The primary obstacle is a conflict that's built into our brains, say Chip and Dan Heath, authors of the critically acclaimed bestseller Made to Stick. Psychologists have discovered that our minds are ruled by two different systems - the rational mind and the emotional mind—that compete for control. The rational mind wants a great beach body; the emotional mind wants that Oreo cookie. The rational mind wants to change something at work; the emotional mind loves the comfort of the existing routine. This tension can doom a change effort - but if it is overcome, change can come quickly. In Switch, the Heaths show how everyday people - employees and managers, parents and nurses - have united both minds and, as a result, achieved dramatic results: • The lowly medical interns who managed to defeat an entrenched, decades-old medical practice that was endangering patients • The home-organizing guru who developed a simple technique for overcoming the dread of housekeeping • The manager who transformed a lackadaisical customer-support team into service zealots by removing a standard tool of customer service In a compelling, story-driven narrative, the Heaths bring together decades of counterintuitive research in psychology, sociology, and other fields to shed new light on how we can effect transformative change. Switch shows that successful changes follow a pattern, a pattern you can use to make the changes that matter to you, whether your interest is in changing the world or changing your waistline.
Healthcare decision makers in search of reliable information that compares health interventions increasingly turn to systematic reviews for the best summary of the evidence. Systematic reviews identify, select, assess, and synthesize the findings of similar but separate studies, and can help clarify what is known and not known about the potential benefits and harms of drugs, devices, and other healthcare services. Systematic reviews can be helpful for clinicians who want to integrate research findings into their daily practices, for patients to make well-informed choices about their own care, for professional medical societies and other organizations that develop clinical practice guidelines. Too often systematic reviews are of uncertain or poor quality. There are no universally accepted standards for developing systematic reviews leading to variability in how conflicts of interest and biases are handled, how evidence is appraised, and the overall scientific rigor of the process. In Finding What Works in Health Care the Institute of Medicine (IOM) recommends 21 standards for developing high-quality systematic reviews of comparative effectiveness research. The standards address the entire systematic review process from the initial steps of formulating the topic and building the review team to producing a detailed final report that synthesizes what the evidence shows and where knowledge gaps remain. Finding What Works in Health Care also proposes a framework for improving the quality of the science underpinning systematic reviews. This book will serve as a vital resource for both sponsors and producers of systematic reviews of comparative effectiveness research.
The fan-favorite MEGA MAN X games took the classic platforming franchise in a dynamic new direction. In this future world filled with conflict and strife, sentient artificial beings known as Reploids have grown in population. When rogue Reploids called Mavericks threaten humanity, the daring Maverick Hunters rise up to meet them. The MEGA MAN X: MAVERICK HUNTER'S FIELD GUIDE is your ultimate handbook to the reploids of the 22nd century. Inside you'll find detailed profiles of every dangerous Maverick, plus other important characters like X, Zero, Axl, Sigma, Vile, and many more.
Celebrate 30 wonderful years with some of the most famous characters in the history of video games. Featuring more than 200 Capcom characters from Ada Wong to Zero.