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.

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.

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.

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.

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.

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. 

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.

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.   

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. 

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. 

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.

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.

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.

In Digital Minimalism, author Cal Newport explains how you can experience a massive positive transformation in your life by ruthlessly cutting down on the time you spend online. Learn how to ditch the screen and get your life back.

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.

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.