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.

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.

"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.

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.

The first in-depth examination of the voice intelligence industry, The Voice Catchers exposes how artificial intelligence is enabling personalized marketing and discrimination through voice analysis.

Are you struggling to figure out which product you should introduce to the market? Or, on how to reach your customers and get them to pay attention to you rather than the competition? Worried about the amount of waste that is going on in your business and how much it is costing you, or many other business problems? Then completing a good data analysis with the help of the Python language may be the right choice for you. If you want to learn more about Python for data analysis, then buy this audiobook to get started. 

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.

If you are looking to master the fundamental concepts of data science driven by the Python programming language to develop a solid understanding of all the latest cutting-edge technologies, then this is just that one comprehensive audiobook you have been waiting for. This audiobook is carefully narrated to help you master the core concepts of Python programming and utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in such volume, even if you have never learned any programming languages before.

PLEASE NOTE: This is a summary, analysis, and review of the book and not the original book. In The Future Is Faster Than You Think, authors Peter Diamandis and Steven Kotler explore how the convergence of different technologies will revolutionize the way we eat, work, play, and live.

Would you like to learn to use Python extracting meaningful insight from data to grow your business but you reckon it will be too complex? As a beginner, you will be probably afraid that programming is difficult. Learning data analysis and data mining can take months, and the possibility to give up before mastering them could be high. The best solution is a complete programming manual with hands-on projects and practical exercises. This guide is structured as a course with seven chapters for seven days and studied special exercises to apply what you learned step-by-step.

If you are looking to master the fundamental concepts of data analysis and data science driven by the Python programming language to develop a solid understanding of all the latest innovative technologies, then this is just that one comprehensive audiobook you have been waiting for. 

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!

Do you have a business or are you someone who works with a lot of data? I guess you know how it feels to spend most of the hours in a day working on data. For most people today, working Excel knowledge is very important because it opens various doors of opportunity. Taking the advantage of our short-listen book, you can develop your Excel skills, have an easy breakthrough, and free more of your time.

Introducing ChatGPT Excel, the ultimate guide to mastering Microsoft Excel with the help of artificial intelligence. Whether you're new to Excel or an experienced user, this book will teach you how to use ChatGPT and Excel to its fullest potential.

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. 

Python Data Science: The Ultimate Crash Course for Data Analysis is a step-by-step guide for those who want to start programming by using Python for their projects and to make their researching activities much easier. The guide will introduce you to the basics of this programming language, and you will have the chance to learn how to use and code in Python with matched libraries, easily and effectively.

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!

Product Leadership: How Top Product Managers Launch Awesome Products and Build Successful Teams (2017) is a guide for product leaders who wish to steer clear of the missteps of those who came before them. It is intended to give companies a clearer vision of where product leadership roles fit within their organization, so they can better understand whom to hire for this position.