Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. <ul>
<li>Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models</li> <li>Explains objects, functions, modules, and libraries and their role in data analysis</li> <li>Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib</li> </ul>
Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

Python for Data Science For Dummies (For Dummies (Computer/Tech))

Computers & Technology

Massaron, Luca

Mueller, John Paul

Networking & Cloud Computing

For Dummies

Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. 
Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data―or anything in between―this guide makes it easier to understand and implement machine learning seamlessly. 
<ul>
<li>Grasp how day-to-day activities are powered by machine learning</li> <li>Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis</li> <li>Learn to code in R using R Studio</li> <li>Find out how to code in Python using Anaconda</li> </ul>
Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

Machine Learning for Dummies

Computer Science

Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see―based on our likes, dislikes, queries, views, interests, relationships, and more―online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. 
Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science―how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! 
<ul>
<li>Become well-versed in the major areas comprising algorithms</li> <li>Examine the incredible history behind algorithms</li> <li>Get familiar with real-world applications of problem-solving procedures</li> <li>Experience hands-on development of an algorithm from start to finish with Python</li> </ul>
If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.

Algorithms for Dummies

Programming

Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. <ul>
<li>Learn about what AI has contributed to society</li> <li>Explore uses for AI in computer applications</li> <li>Discover the limits of what AI can do</li> <li>Find out about the history of AI</li> </ul> The world of AI is fascinating―and this hands-on guide makes it more accessible than ever!

Ai For Dummies (For Dummies (Computer/Tech))

MUELLER, John

Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic―and all of the underlying technologies associated with it. In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types. <ul>
<li>Includes sample code</li> <li>Provides real-world examples within the approachable text</li> <li>Offers hands-on activities to make learning easier</li> <li>Shows you how to use Deep Learning more effectively with the right tools</li> </ul>
This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.

Deep Learning For Dummies

The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. <ul>
<li>Get started with data science and Python</li> <li>Visualize information</li> <li>Wrangle data</li> <li>Learn from data</li> </ul>
The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

Your logical, linear guide to the fundamentals of data science programming Data science is exploding―in a good way―with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. <ul>
<li>Get grounded: the ideal start for new data professionals</li> <li>What lies ahead: learn about specific areas that data is transforming </li> <li>Be meaningful: find out how to tell your data story</li> <li>See clearly: pick up the art of visualization</li> </ul>
Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life―and everyone else’s!

Data Science Programming All-in-One For Dummies

Product Description 
One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) 
Your comprehensive entry-level guide to machine learning 
While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. 
Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study.\nUnderstand the history of AI and machine learning 
Work with Python 3.8 and TensorFlow 2.x (and R as a download) 
Build and test your own models 
Use the latest datasets, rather than the worn out data found in other books 
Apply machine learning to real problems\nWhether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world. 
 From the Inside Flap 
Fun ways to work and play with new machine learning tools 
What, exactly, is machine learning? How can you implement it, and which tools will you need? This book shows you how to build predictive models, detect anomalies, analyze text and images, and more. Machine learning makes all this possible. Dive into this exciting new technology with Machine Learning For Dummies, 2nd Edition. This even-friendlier new edition answers your questions — guiding you in learning essential programming and concepts from scratch! Here is the entry-level info you need to get up and running with machine learning. 
Inside. . . \nIntro to machine learning and AI\nBig data and algorithms explained\nDemystifying the math behind AI\nMany best practice examples\nPractical uses for machine learning\nReal-world datasets\nEthical approaches to data use\nFrom the Back Cover 
Fun ways to work and play with new machine learning tools 
What, exactly, is machine learning? How can you implement it, and which tools will you need? This book shows you how to build predictive models, detect anomalies, analyze text and images, and more. Machine learning makes all this possible. Dive into this exciting new technology with Machine Learning For Dummies, 2nd Edition. This even-friendlier new edition answers your questions — guiding you in learning essential programming and concepts from scratch! Here is the entry-level info you need to get up and running with machine learning. 
Inside. . . \nIntro to machine learning and AI\nBig data and algorithms explained\nDemystifying the math behind AI\nMany best practice examples\nPractical uses for machine learning\nReal-world datasets\nEthical approaches to data use\nAbout the Author 
John Mueller has produced hundreds of books and articles on topics ranging from networking to home security and from database management to heads-down programming. Luca Massaron is a senior expert in data science who has been i

Machine Learning For Dummies

Forget far-away dreams of the future.&nbsp;Artificial intelligence is here now!&nbsp; Every time you use a&nbsp;smart device&nbsp;or&nbsp;some sort of&nbsp;slick technology--be it a&nbsp;smartwatch, smart speaker, security alarm, or even customer service chat box--you're engaging with artificial intelligence (AI).&nbsp;If you're&nbsp;curious about how AI is developed--or question&nbsp;whether&nbsp;AI is&nbsp;real--Artificial Intelligence&nbsp;For&nbsp;Dummies&nbsp;holds&nbsp;the answers you're&nbsp;looking for.&nbsp;Starting with&nbsp;a&nbsp;basic definition&nbsp;of AI&nbsp;and explanations of&nbsp;data use, algorithms,&nbsp;special hardware,&nbsp;and more, this reference&nbsp;simplifies&nbsp;this complex&nbsp;topic&nbsp;for&nbsp;anyone who wants to understand what&nbsp;operates&nbsp;the devices we can't live without.&nbsp;&nbsp; This book will help you:&nbsp; <ul> <li>Separate&nbsp;the reality&nbsp;of artificial intelligence&nbsp;from&nbsp;the hype&nbsp;</li> <li>Know&nbsp;what&nbsp;artificial intelligence&nbsp;can accomplish&nbsp;and&nbsp;what&nbsp;its limits&nbsp;are&nbsp;</li> <li>Understand&nbsp;how&nbsp;AI&nbsp;speeds up data gathering and analysis&nbsp;to help you make informed decisions more quickly&nbsp;</li> <li>See how AI is being&nbsp;used&nbsp;in hardware&nbsp;applications&nbsp;like drones, robots, and vehicles&nbsp;</li> <li>Know where AI&nbsp;could be used in space, medicine, and&nbsp;communication fields&nbsp;sooner than you think&nbsp;</li> </ul> Almost 80 percent of the devices you interact with every day depend on some sort of AI.&nbsp;And although you don't need to understand AI to operate your smart speaker or&nbsp;interact with a&nbsp;bot, you'll feel a little smarter--dare we say more intelligent--when you know&nbsp;what's going on&nbsp;behind the scenes.&nbsp; So don't wait.&nbsp;Pick up this&nbsp;popular&nbsp;guide to&nbsp;unlock the secrets&nbsp;of AI&nbsp;today!&nbsp;

Artificial Intelligence For Dummies (For Dummies (Computer/Tech))

Your secret weapon to understanding—and using!—one of the most powerful influences in the world today 
From your Facebook News Feed to your most recent insurance premiums—even making toast!—algorithms play a role in virtually everything that happens in modern society and in your personal life. And while they can seem complicated from a distance, the reality is that, with a little help, anyone can understand—and even use—these powerful problem-solving tools! 
In Algorithms For Dummies, you'll discover the basics of algorithms, including what they are, how they work, where you can find them (spoiler alert: everywhere!), who invented the most important ones in use today (a Greek philosopher is involved), and how to create them yourself. 
You'll also find: Dozens of graphs and charts that help you understand the inner workings of algorithms Links to an online repository called GitHub for constant access to updated code Step-by-step instructions on how to use Google Colaboratory, a zero-setup coding environment that runs right from your browser 
Whether you're a curious internet user wondering how Google seems to always know the right answer to your question or a beginning computer science student looking for a head start on your next class, Algorithms For Dummies is the can't-miss resource you've been waiting for.\nFrom the Back Cover\nFeel the algorithm and join the data dance 
Algorithms are everywhere—in your web browser, your music app, the grocery store checkout, and possibly even in your car. Algorithms For Dummies will show you what they’re doing and how you can do it, too. You’ll learn to manipulate and structure data, build graphs using Python® programming language, and use basic programming techniques to make your algorithms run more smoothly. You might not be able to write an algorithm for a self-driving car or for a virtual assistant…but then again, maybe you will, with the solid foundation you’ll build in this book. 
Inside… Create algorithms the easy way with the Python® language Practical real-world algorithm uses Approaches to solving difficult problems Online access to code World-famous algorithms Tips on working with big data Discover practical algorithm history

Algorithms For Dummies (For Dummies (Computer/Tech))

See the best price to sell, buy, or rent books by Massaron, Luca. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Massaron, Luca

See the best price to sell, buy, or rent books by Massaron, Luca. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Python for Data Science For Dummies (For Dummies (Computer/Tech))

Machine Learning for Dummies

Algorithms for Dummies

Ai For Dummies (For Dummies (Computer/Tech))

Deep Learning For Dummies

Python for Data Science For Dummies (For Dummies (Computer/Tech))

Data Science Programming All-in-One For Dummies

Machine Learning For Dummies

Artificial Intelligence For Dummies (For Dummies (Computer/Tech))

Algorithms For Dummies (For Dummies (Computer/Tech))