Discover the techniques behind beautiful design by deconstructing designs to understand them The term 'hacker' has been redefined to consist of anyone who has an insatiable curiosity as to how things work—and how they can try to make them better. This book is aimed at hackers of all skill levels and explains the classical principles and techniques behind beautiful designs by deconstructing those designs in order to understand what makes them so remarkable. Author and designer David Kadavy provides you with the framework for understanding good design and places a special emphasis on interactive mediums. You'll explore color theory, the role of proportion and geometry in design, and the relationship between medium and form. Packed with unique reverse engineering design examples, this book inspires and encourages you to discover and create new beauty in a variety of formats. Breaks down and studies the classical principles and techniques behind the creation of beautiful design Illustrates cultural and contextual considerations in communicating to a specific audience Discusses why design is important, the purpose of design, the various constraints of design, and how today's fonts are designed with the screen in mind Dissects the elements of color, size, scale, proportion, medium, and form Features a unique range of examples, including the graffiti in the ancient city of Pompeii, the lack of the color black in Monet's art, the style and sleekness of the iPhone, and more By the end of this book, you'll be able to apply the featured design principles to your own web designs, mobile apps, or other digital work.

The author examines issues such as the rightness of web-based applications, the programming language renaissance, spam filtering, the Open Source Movement, Internet startups and more. He also tells important stories about the kinds of people behind technical innovations, revealing their character and their craft.

OVER 30,000 COPIES SOLD It’s a terrible feeling. To know you have a gift for the world. But to be utterly paralyzed every time you try to discover what that gift is. Stop procrastinating and start creating! In The Heart to Start, blogger, podcaster, and award-winning designer David Kadavy takes you on his journey from Nebraska-based cubicle dweller to jet-setting bestselling author, showing you how to stop procrastinating, and start creating. The original and battle-tested tactics in The Heart to Start eliminate fear in your present self, so you can finally become your future self: Tap into the innate power of curiosity. Find the fuel to propel you through resistance. Catch yourself “Inflating The Investment.” Prevent self-destructive time sucks and find the time to follow your art, even if you feel like you have no time at all. Bust through “The Linear Work Distortion.” Inspire action that harnesses your natural creative style. Supercharge your progress with “Motivational Judo.” Lay perfectionism on its back while propelling your projects forward. Inspiring stories weave these techniques into your memory. From Maya Angelou to Seth Godin. From J. K. Rowling to Steven Pressfield. You'll hear from a Hollywood screenwriter, a chef, and even a creator of a hit board game. Whether you’re writing a novel, starting a business, or picking up a paintbrush for the first time in years, The Heart to Start will upgrade your mental operating system with unforgettable tactics for ending procrastination before it starts, so you can make your creative dreams a reality. Take your first step and download The Heart to Start. Unlock your inner creative genius today!

OVER 40,000 COPIES SOLD “An exhilarating but highly structured approach to the creative use of time. Kadavy’s approach is likely to spark a new evaluation of conventional time management. ” —Kirkus Reviews You have the TIME. Do you have the ENERGY? You’ve done everything you can to save time. Every productivity tip, every “life hack,” every time management technique. But the more time you save, the less time you have. The more overwhelmed, stressed, exhausted you feel. “Time management” is squeezing blood from a stone. Introducing a new approach to productivity. Instead of struggling to get more out of your time, start effortlessly getting more out of your mind. In Mind Management, Not Time Management, best-selling author David Kadavy shares the fruits of his decade-long deep dive into how to truly be productive in a constantly changing world. Quit your daily routine. Use the hidden patterns all around you as launchpads to skyrocket your productivity. Do in only five minutes what used to take all day. Let your “passive genius” do your best thinking when you’re not even thinking. “Writer’s block” is a myth. Learn a timeless lesson from the 19th century’s most underrated scientist. Wield all of the power of technology, with none of the distractions. An obscure but inexpensive gadget may be the shortcut to your superpowers. Keep going, even when chaos strikes. Tap into the unexpected to find your next Big Idea. Mind Management, Not Time Management isn’t your typical productivity book. It’s a gripping page-turner chronicling Kadavy’s global search for the keys to unlock the future of productivity. You’ll learn faster, make better decisions, and turn your best ideas into reality. Buy it today.

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data

Discover the techniques behind beautiful design by deconstructing designs to understand them The term 'hacker' has been redefined to consist of anyone who has an insatiable curiosity as to how things work—and how they can try to make them better. This book is aimed at hackers of all skill levels and explains the classical principles and techniques behind beautiful designs by deconstructing those designs in order to understand what makes them so remarkable. Author and designer David Kadavy provides you with the framework for understanding good design and places a special emphasis on interactive mediums. You'll explore color theory, the role of proportion and geometry in design, and the relationship between medium and form. Packed with unique reverse engineering design examples, this book inspires and encourages you to discover and create new beauty in a variety of formats. Breaks down and studies the classical principles and techniques behind the creation of beautiful design Illustrates cultural and contextual considerations in communicating to a specific audience Discusses why design is important, the purpose of design, the various constraints of design, and how today's fonts are designed with the screen in mind Dissects the elements of color, size, scale, proportion, medium, and form Features a unique range of examples, including the graffiti in the ancient city of Pompeii, the lack of the color black in Monet's art, the style and sleekness of the iPhone, and more By the end of this book, you'll be able to apply the featured design principles to your own web designs, mobile apps, or other digital work.