Computer Analysis

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

"101 Algorithms Questions You Must Know" presents 101 asymptotic complexity Questions and Answers, Organized by Algorithm Design Techniques. The book is designed as an accompaniment to "Analysis and Design of Algorithms" (ISBN 978-1516513086). The questions are distributed as follows: 9 Warm up Questions on Math Basics 19 Questions on Asymptotic Analysis and Asymptotic Notation 3 Questions on Data Structures 17 Questions on Divide and Conquer 8 Questions on Greedy Algorithms 18 Questions on Dynamic Programming 5 Questions on Graph Traversal (BFS/DFS) 4 Questions on Branch and Bound 9 ...

Think creatively like a human. Analyze and solve problems efficiently like a computer. Our everyday lives are filled with inefficient and ineffective decisions and solutions. Being overwhelmed by the magnitude of our problems makes it hard to think clearly. We procrastinate and overthink. Our thoughts are tainted with biases. If only there was a way to simplify our decision-making and problem-solving process and get satisfying, consistent results! The good news is, there is! Apply computer algorithms to your everyday problems.

In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named "Island" where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

If you’re considering a shift to data analysis, you’re likely exploring various programming languages to kickstart your journey. Take a cue from industry giants like Netflix, Facebook, and Amazon, who rely on SQL for data analysis. Don’t let misconceptions hinder your data analysis journey. Equip yourself with this comprehensive guide and master SQL to unlock new opportunities.

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.

Python is now the go-to programming language for web usage, enterprise, and is the number one embedded language! This - along with the fact that it is the most preferred programming language for machine learning, computer science, artificial intelligence, and deep learning - has made it one of the most sought-after programming languages!

Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionary field could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers. In this guidebook, you will discover more about data science and how to get started in this field.

If you wish to learn python, Python Volume 1 will introduce you to the unlimited potential of python programming language in the world of big data, data science, deep learning, machine learning, artificial intelligence, and more.

Do you know that there's a lot more to Excel, but have no idea what to learn? This audiobook could be the answer you're looking for. You'll learn: Introduction to Advanced Excel, Optimization using the Solver Function, Sensitivity Analysis, and much more.

I address challenges as simple as finding the on button and finding the charging port. Then I walk you through the setup process. Next, using labelled screen-captures, I take you on a tour of your paperwhite and show you how to buy your first kindle book and how to read your first kindle book. Finally, advanced topics like note taking, using the in-built dictionary, the kindle cloud reader, and troubleshooting setup.

It’s no secret that many jobs will be eliminated in the near future. While that reality may be difficult to digest, it’s also believed that the most responsible party - namely, automation - will lead the way in a golden age of opportunity. That’s because there will be a tremendous need for people who are capable of programming all those new systems. And, the language of choice for machine learning software is Python which, as it happens, is the perfect first language to learn.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.

MS Excel VBA simulations are a great tool for modeling future events and assessing all kinds of chances and risks. They are widely used in option pricing, project management, business valuation, and much more. They usually take a form of generating series of random observations and then studying the resulting observations using certain techniques.

Whether you're new to the world of programming and are looking for clarity on what direction to take, or you're simply curious about what machine learning, AI, and big data has in store for the future and want to prepare for it, this guide makes it easy to actually understand implement machine learning and data analytics effectively.

Inside, you will learn everything you ever wanted to know about the technology that powers cryptocurrency. You will also learn how to choose the most promising contenders for the next big thing and not lose your shirt while taking advantage of the high degree of volatility the market is currently experiencing. If you want to learn more about cryptocurrencies and whether the opportunity is worth it, then this audiobook will definitely help you make an informed decision!

In our highly competitive world of today, we need all the edge we can to get ahead of our competitors. For a long time, companies have focused on spending more on marketing and advertisement, ignoring the powerful asset they had at their disposal: data. Although this isn't the case anymore for large companies, smaller businesses are still in the dark about this, and you can use this asset to your advantage. This bundle will show you how.