Then, it covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples. This is an excellent introduction benefitting from clear writing and simple examples. The pandas documentation itself is large and sometimes assumes too much knowledge, in my opinion.
Learning the Pandas Library bridges this gap for new users and even for those with some pandas experience such as me. I have finished reading Learning the Pandas Library and I liked it This site comply with DMCA digital copyright. Learn about subtraction with the San Diego Zoo's famous baby pandas in Panda Math Hua Mei was the first giant panda cub born in the United States that survived more than a few days.
Hua Mei and her brother, Mei Sheng, spend their days climbing on logs, lounging in trees, and eating bamboo. A lot of things the pandas do can be thought of in terms of subtraction. Young readers follow the famous cubs as they grow from tiny infants to big, bouncing pandas and learn about subtraction along the way. Due to the detailed nature of animal life, it is appropriate to be read by an adult to younger children. The Giant Panda is a fascinating creature that has captured the world's heart as it struggles near the brink of extinction.
Learn about its unique habitat and find out answers to the following questions: Where are pandas normally found in the wild? How do the panda's eyes differ from other bears? What types of food does the panda eat? Does the panda eat any meat? How nutritious is the food that pandas eat? How many cubs can a mother panda raise at a time? Does the father panda help with raising the cub?
Are pandas territorial? How many cubs can a mother panda have in her lifetime? How often can she give birth? How does the panda eat? Why are pandas shaped the way they are? Why are panda heads round? What does the panda spend most of its time doing? What do baby pandas look like when they are first born? How big do pandas get? How heavy do pandas weigh? How long do panda live in the wild and in captivity? Does the Giant Panda belong in the bear family or the raccoon family?
Why is the panda on the endangered species list? How is mankind helping to increase the panda's numbers? How does the birth rate affect the number of pandas? Find out the answers to the above questions and much more.
This book contains over 40 amazing and descriptive pictures of the beautiful Giant Panda. Download the book now to learn all about the Giant Panda Bear.
Welcome to the wild world of pandas! In this intro to the species, youngsters discover where on Earth this bear lives, what it eats, how big it grows, and how it communicates. Cool photos of adorable panda cubs and panda relatives bring the creatures into full focus. After learning the basics, young readers will discover why pandas need our help and what people around the world are doing to help save them. Filled with fun facts, games, and an activity focused on making a difference in the panda's world, Go Wild!
Yes, that's right. Based on a significant amount of data and evidence, it's obvious that ML and AI are here to stay. Consider any industry today. The practical applications of ML are really driving business results. Whether it's healthcare, e-commerce, government, transportation, social media sites, financial services, manufacturing, oil and gas, marketing and salesYou name it.
The list goes on. There's no doubt that ML is going to play a decisive role in every domain in the future. But what does a Machine Learning professional do? A Machine Learning specialist develops intelligent algorithms that learn from data and also adapt to the data quickly. Then, these high-end algorithms make accurate predictions. How Is This Book Different? AI Publishing strongly believes in learning by doing methodology.
With this in mind, we have crafted this book with care. You will find that the emphasis on the theoretical aspects of machine learning is equal to the emphasis on the practical aspects of the subject matter. You'll learn about data analysis and visualization in great detail in the first half of the book. Then, in the second half, you'll learn about machine learning and statistical models for data science. Each chapter presents you with the theoretical framework behind the different data science and machine learning techniques, and practical examples illustrate the working of these techniques.
When you buy this book, your learning journey becomes so much easier. The reason is you get instant access to all the related learning material presented with this book--references, PDFs, Python codes, and exercises--on the publisher's website. All this material is available to you at no extra cost.
You'll also find the short course on Python programming in the second chapter immensely useful, especially if you are new to Python.
Since this book gives you access to all the Python codes and datasets, you only need access to a computer with the internet to get started.
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data.
This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines.
Explore the exciting world of machine learning with the fastest growing technology in the world Key Features Understand various machine learning concepts with real-world examples Implement a supervised machine learning pipeline from data ingestion to validation Gain insights into how you can use machine learning in everyday life Book Description Machine learning—the ability of a machine to give right answers based on input data—has revolutionized the way we do business.
Then, it covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples. In the past, he has worked across the domains. See full terms. If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid including free.
The formats that a book includes are shown at the top right corner of this page. Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device. Learn more about Leanpub's ebook formats and where to read them. You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!
Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks. Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. It really is that easy. Haskell for FPGA Hardware Design: Use abstractions like monads and lenses to implement 's retro-computing devices like arcade machines and home computers.
A Functional Programming book from beginner to advanced without skipping a single step along the way. In my 40 years of programming, I've felt that programming books always let me down, especially Functional Programming books.
So, I wrote the book I wish I had 5 years ago. At present, the E xperiential Learning series currently consists of four volumes. This first volume— Beginning —concerns getting started: starting using the experiential method, starting to design exercises, and getting a particular exercise off to a good start.
It should be particularly helpful for short classes—a day or two, or even an hour or two—though it could be for starting to use experiential parts of a longer workshop consisting of both short and long experiential pieces as well as more traditional learning models. This is an intermediate textbook on Emacs Lisp.
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