Computer Analysis

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.

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."

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.

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 Basics19 Questions on Asymptotic Analysis and Asymptotic Notation3 Questions on Data Structures17 Questions on Divide and Conquer8 Questions on Greedy Algorithms18 Questions on Dynamic Programming5 Questions on Graph Traversal (BFS/DFS)4 Questions on Branch and Bound9 Questions on NP-...

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 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.

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.

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.

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.

Transform your career in just a few hours with Python data science mastery—even if you've never written a line of code before! Have you ever felt overwhelmed at the thought of learning data analysis in Python? Do you worry that without a computer science degree, you'll never be able to visualize and analyze data effectively? Are you eager to bring data-driven insights into your career but don’t know where to start?

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.

Unlock the power of Python and transform your coding skills with this comprehensive beginner's guide! Whether you're a complete novice or looking to sharpen your programming expertise, this book is your ultimate resource for mastering Python — the most versatile and in-demand language in tech today.

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!

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.

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.

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.

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.

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.