Название: Happy Learn Haskell Tutorial Volume 1
Автор: GetContented
Издательство: Leanpub
Год: January 18, 2022
Страниц: 248
Язык: английский
Формат: pdf (true) +Extras
Размер: 19.4 MB

This tutorial has a funny name, and friendly face, but it's serious about making learning Haskell fun. Volume 1 is a most enjoyable way for programming beginners to start with Haskell. It will take your reading from zero to halfway thru beginner-level, and your writing to the tiniest pre-beginner (basic) programs. Uses gradual, staged, small whole programs and fun examples with useful illustrations. Many books don't address the subject of how to craft solutions, or they just leave you with nothing but some exercises and your own intuition. Most are focussed heavily on programming language topics first, and how you use them to do things second, if at all. You'll notice we're primarily interested in you learning how to do useful things, rather than the language for its own sake. Practical things will anchor the language more in your memory and experience. Our material is cleverly crafted to gradually introduce you to the entire language. We do this over the course of the various, interesting examples which are present in every chapter, across all the volumes. We chose this way because the other way bores people to sleep, which is inconsiderate and tedious. Countless people have found programming difficult to learn because of boring examples, unpolished writing, or material being organised for language features rather than learner interest. On the other hand, we've seen great success in material that uses varied repetition, amusing useful pictures, fun examples using real-world topics and small graded steps. This guided our choices in building the entire series, one volume of which you have in your hands. If motivation really is what pulls us through practice, then we sincerely hope we've inspired motivation and excitement in you with this series, and wish you never forget the love that we all share for learning and programming. May it guide you always.

Название: Practical Machine Learning in R (2021 Update)
Автор: Kyriakos Chatzidimitriou, Themistoklis Diamantopoulos, Thomas Karanikiotis
Издательство: Leanpub
Год: 2021-07-13
Страниц: 160
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Do you want to start using R for crunching machine learning models right from the start with examples? Then this book is for you. R is an open source programming language and a free environment, mainly used for statistical computing and graphics. You can find information about R in the official website. By searching with the keyword R with other topic-specific words in sites like Google, one can find additional information from sites, blog posts, tutorials, documents etc. Even through R comes with its own environment: command line and graphical interfaces, one can use the popular RStudio, which offers additional graphical functionalities. Machine Learning (ML) is a subset of Artificial Intelligence (AI) in the field of computer science that often uses statistical techniques to give computers the ability to “learn” (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. Machine Learning is often closelly related, if not used as an alternate term, to fields like Data Mining (the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems), Pattern Recognition, Statistical Inference or Statistical Learning. All these areas often employ the same methods and perhaps the name changes based on the practitioner’s expertise or the application domain.

Название: Measurements and Data Analysis for Agricultural Engineers Using Python
Автор: Matti Pastell
Издательство: Leanpub
Год: March 1, 2016
Страниц: 131
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

This book is based on my lecture notes from the course “Measurement technology” at my previous position in the Department of Agricultural Sciences at the University of Helsinki. The book has two parts: The beginning covers the basics of the theory needed to understand proper sampling and planning of measurement systems. It also covers basics of data loggers and sensor connections. The book doesn’t cover sensor, this information is difficult to keep up to date and there are several books focusing on sensors already. The second part covers the basics of Python, Scientific Python with applications to spectral analysis and digital filtering. The focus is on examples in signal processing. The reason I chose Python for my teaching was that I wanted to have one language that can be used to write software for data collection, interface hardware and analyze data. I also wanted to have a language that is easy to learn, free for students to use for homework and on their own projects and works on multiple operating systems. In addition to Python being popular general purpose A lot of dataloggers have drivers for Python, the SciPy stack is a powerful option for scientific computing and OpenCV Python interface allows the implementation of popular computer vision applications.

Название: Stroke: Analysis and Prediction Using Scikit-Learn, Keras, and TensorFlow with Python GUI, Second Edition
Автор: Vivian Siahaan, Rismon Sianipar
Издательство: Balige Publishing
Год: July 2023
Страниц: 525
Язык: английский
Формат: epub (true)
Размер: 18.4 MB

In this project, we will perform an analysis and prediction task on stroke data using Machine Learning and deep learning techniques. The entire process will be implemented with Python GUI for a user-friendly experience. We start by exploring the stroke dataset, which contains information about various factors related to individuals and their likelihood of experiencing a stroke. We load the dataset and examine its structure, features, and statistical summary. Next, we preprocess the data to ensure its suitability for training machine learning models. This involves handling missing values, encoding categorical variables, and scaling numerical features. We utilize techniques such as data imputation and label encoding. To gain insights from the data, we visualize its distribution and relationships between variables. We create plots such as histograms, scatter plots, and correlation matrices to understand the patterns and correlations in the data. To improve model performance and reduce dimensionality, we select the most relevant features for prediction. We employ techniques such as correlation analysis, feature importance ranking, and domain knowledge to identify the key predictors of stroke. With the models trained and saved, we move on to implementing the Python GUI. We utilize PyQt libraries to create an interactive graphical user interface that provides a seamless user experience. The GUI consists of various components such as buttons, checkboxes, input fields, and plots. These components allow users to interact with the application, select prediction models, and visualize the results.

Название: The Dynamic Programming Manual: Mastering Efficient Solutions
Автор: Gabor Laszlo Hajba
Издательство: Leanpub
Год: 2023-06-30
Страниц: 220
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

Unleash the power of dynamic programming! Master efficiency and solve complex problems with expertly crafted solutions. Java and Python code examples guide your path to optimized application performance. Dive into "The Dynamic Programming Manual" and unlock the secrets of success! Welcome to "The Dynamic Programming Manual: Mastering Efficient Solutions." This book is your comprehensive guide to mastering dynamic programming techniques through a collection of engaging exercises and their efficient solutions, accompanied by detailed explanations of how to approach similar problems. Are you passionate about algorithms? Do you want to conquer challenges that become sluggish with increasing input using brute force techniques? Whether you code in Java or Python, this book will spark your creativity and provide valuable insights to enhance your code. Even if you work with a different programming language, fear not! The principles of programming are universal, and the examples in this book will help you grasp the essence of dynamic programming easily.

Название: Python for History Buffs
Автор: Andrew Kean Gao
Издательство: Leanpub
Год: 2023-07-16
Язык: английский
Формат: pdf (true), epub
Размер: 11.1 MB

Coding is a valuable skill for historians and scholars of the humanities. Learn Python, one of the easiest and most versatile programming languages, from the ground up. Welcome to “Python for History Buffs”! This book is designed to take you on a journey through time, exploring the fascinating world of history while simultaneously learning the basics of Python programming. Programming is a skill that has become increasingly important in our modern world. It’s a tool that allows us to create software, analyze data, build websites, and much more. Python, in particular, is a powerful, versatile language that’s great for beginners due to its readability and simplicity. History, on the other hand, is the study of our past. It helps us understand where we come from and how past events and people have shaped the world we live in today. By studying history, we can learn valuable lessons and gain a broader perspective on life. In this book, we’ll be combining these two seemingly disparate subjects. As we journey through different historical periods, we’ll be learning corresponding Python concepts. For example, as we explore the dawn of civilization, we’ll also be learning the basics of Python. As we delve into the Industrial Revolution, we’ll learn about file input/output in Python, mirroring the era’s focus on efficiency and productivity. Each chapter of this book will focus on a specific historical period and a corresponding Python concept. We’ll start with the basics and gradually move on to more advanced topics.

Название: Programming for Kids: Learn Programming by Following Along in Ruby on a Mac
Автор: Peter Armstrong
Издательство: Leanpub
Год: 2022-04-14
Страниц: 137
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

This book teaches kids between 10 and 14 years old the basics of programming. You need a Mac computer to follow along with the examples. The examples use Terminal, nano, Ruby and irb. (Yes, I'm serious!) This book will teach you how to write computer programs! You will need to use a Mac computer to follow along. The programs are short, so you can type them all in yourself. This is true even if you can’t type well. This book has a bunch of small chapters. Each chapter is about one idea. At the end of every chapter, there will be exercises for you to do. It is really important that you do all of them! Doing the exercises ensures that you know the material in the chapter. The answers for all the exercises are in the back of the book, and there are links to the answers for all the exercises. If your parents want to find out more about this book, they can read it with you. Or, they can just read the For Parents section at the back of the book. If you’re going to use their computer, they might want to sit with you. That’s fine. They’ll learn something too! Ruby is a programming language. You speak English, but there are lots of other languages that people speak. Similarly, there are lots of different languages you can use to tell a computer what to do. Ruby is one of the easier ones to use, and your Mac comes with Ruby already installed. The program you wrote was a Ruby program!

Название: Практический Machine Learning
Автор: Stepik
Издательство: Интернет-издание
Год: 2023
Формат: PDF
Страниц: 319
Размер: 35 Mb
Язык: Русский

В курсе изучаются классические и продвинутые алгоритмы машинного обучения, подробно разбираются математические обоснования изучаемых методов. После прохождения курса вы сможете полностью решать классические задачи анализа данных: начиная от сбора и хранения данных и заканчивая внедрением обученных моделей в продакшн. Курс предназначен для тех, кто интересуется машинном обучением в его современном состоянии, а также не хочет ограничиваться только анализом данных.

Название: Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-driven Analysis, Explainability, and Causality
Автор: M. Z. Naser
Издательство: Wiley
Год: 2023
Страниц: 610
Язык: английский
Формат: pdf (true)
Размер: 39.5 MB

Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of Artificial Intelligence (AI), Machine Learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain. Through real-world projects like analysis and design of structural members, optimizing concrete mixtures for site applications, examining concrete cracking via computer vision, evaluating the response of bridges to hazards, and predicating water quality and energy expenditure in buildings, this textbook offers readers in-depth case studies with solved problems that are commonly faced by civil and environmental engineers. The approaches presented range from simplified to advanced methods, incorporating coding-based and coding-free techniques. Professional engineers and engineering students will find value in the step-by-step examples that are accompanied by sample databases and codes for readers to practice with. In general, there are three types of learning that ML can fall under; supervised learning, unsupervised learning, and semi-supervised learning. This textbook is a must-have reference for undergraduate/graduate students to learn concepts on the use of Machine Learning, for scientists/researchers to learn how to integrate Machine Learning into civil and environmental engineering, and for design/engineering professionals as a reference guide for undertaking MI design, simulation, and optimization for infrastructure.

Название: Real-Life Decision-Making
Автор: Mats Danielson, Love Ekenberg
Издательство: CRC Press
Год: 2024
Страниц: 141
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB

Have you ever experienced a decision situation that was hard to come to grips with? Did you ever feel a need to improve your decision-making skills? Is this something where you feel that you have not learned enough practical and useful methods? In that case, you are not alone! Even though decision-making is both considered and actually is a very important skill in modern work-life as well as in private life, these skills are not to any reasonable extent taught in schools at any level. No wonder many people do indeed feel the need to improve but have a hard time finding out how. This book is an attempt to remedy this shortcoming of our educational systems and possibly also of our common, partly intuition-based, decision culture. Intuition is not at all bad, quite the contrary, but it has to co-exist with rationality. We will show you how. Methods for decision-making should be of prime concern to any individual or organisation, even if the decision processes are not always explicitly or even consciously formulated. All kinds of organisations, as well as individuals, must continuously make decisions of the most varied nature in order to prosper and attain their objectives. A large part of the time spent in any organisation, not least at management levels, is spent gathering, processing, and compiling information for the purpose of making decisions supported by that information. The same interest has hitherto not been shown for individual decision-making, even though large gains would also be obtained at a personal level if important personal decisions were better deliberated. This book aims at changing that and thus attends to both categories of decision-makers.