Computer 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. 

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."

"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.

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.

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.

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.

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.

Facebook knew it had a problem. The company had been humiliated by headlines, painted as complicit in the manipulation of democratic voting and an assault on the global social fabric. Their stated mission was to connect people, but they couldn't afford to destroy society in the process. And so they hired a small team to make sure they didn't repeat the same mistakes. From the Wall Street Journal reporter whose explosive stories have rocked Facebook and its leadership, this is the story of the Civic Integrity Team.

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. 

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. 

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.

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.

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.

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!

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.

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.   

Ransomware is a form of malware designed to encrypt files on a device, rendering them and the systems that rely on them unusable. Malicious actors then demand ransom in exchange for decryption. Over time, malicious actors have adjusted their ransomware tactics to be more destructive and impactful, and have also exfiltrated victim data and pressured victims to pay by threatening to release the stolen data.

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.

Every Podcaster’s Biggest Hurdles provides a clearly laid out plan which you can follow to get over the things holding you back on your podcasting journey - even if you have only one listener and are on the verge of giving up. This audiobook will reveal why more than half of all podcasters end up failing after the first six months, the five highly proven techniques to immediately eliminate paralysis by analysis, and more.