Название: Causal Inference in Python: Applying Causal Inference in the Tech Industry (3rd Early Release)
Автор: Matheus Facurer
Издательство: O’Reilly Media, Inc.
Год: 2023-03-24
Страниц: 399
Язык: английский
Формат: epub
Размер: 10.2 MB

This book is an introduction to Causal Inference in Python, but it is not an introductory book in general. It’s introductory because I’ll focus on application, rather than rigorous proofs and theorems of causal inference; additionally, when forced to choose, I’ll opt for a simpler and intuitive explanation, rather than a complete and complex one. It is not introductory in general because I’ll assume some prior knowledge about Machine Learning (ML), statistics and programming in Python. It is not too advanced either, but I will be throwing in some terms that you should know beforehand. In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. Each method is accompanied by an application in the industry to serve as a grounding example.

Название: Введение в технологии контейнеров и Kubernetes
Автор: Маркелов А. А.
Издательство: ДМK
Год: 2019
Cтраниц: 194
Формат: pdf (ocr)
Размер: 29 мб
Язык: русский

В книге рассмотрены механизмы, обеспечивающие работу контейнеров в GNU/Linux, основы работы с контейнерами при помощи Docker и Podman, а также система оркестрирования контейнеров Kubernetes. Помимо этого, книга знакомит c особенностями одного из самых популярных дистрибутивов Kubernetes – OpenShift (OKD). Данная книга рассчитана на ИТ-специалистов, знакомых с GNU/Linux и желающих познакомиться с технологиями контейнеров и системой оркестрации Kubernetes.

Название: Head First Python: A Learner’s Guide to the Fundamentals of Python Programming, A Brain-Friendly Guide, 3rd Edition (Second Early Release)
Автор: Paul Barry
Издательство: O’Reilly Media
Год: 2023-03-24
Язык: английский
Формат: epub
Размер: 31.6 MB

Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you'll quickly grasp Python's fundamentals, working with the built-in data structures and functions. Then you'll move on to building your very own webapp, exploring database management, exception handling, and data wrangling. If you're intrigued by what you can do with context managers, decorators, comprehensions, and generators, it's all here. This third edition is a complete learning experience that will help you become a bonafide Python programmer in no time. In order to explore, experiment, and learn about Python, you need to install a runtime back-end called Jupyter into your Python.

Название: Foundations of Computing: Essential for Computing Studies, Profession And Entrance Examinations, 5th edition
Автор: Pradeep K. Sinha, Priti Sinha
Издательство: BPB Publications
Год: 2023
Страниц: 1097
Язык: английский
Формат: epub (true)
Размер: 32.7 MB

If you wish to have a bright future in any profession today, you cannot ignore having sound foundation in Information Technology (IT). Hence, you cannot ignore to have this book because it provides comprehensive coverage of all important topics in IT. Foundations of Computing is designed to introduce through a single book the important concepts of the Foundation Courses in Computer Science (CS), Computer Applications (CA), and Information Technology (IT) programs taught at undergraduate and postgraduate levels.

Название: Artificial Intelligence for Capital Markets
Автор: Syed Hasan Jafar, Hemachandran K, Hani El-Chaarani
Издательство: CRC Press
Год: 2023
Страниц: 183
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

Artificial Intelligence for Capital Market throws light on the application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book. AI in Finance presents and explores the most recent advances in the application of innovative and emerging AI/ML models in the financial industry. The main contribution of this book is to provide new theoretical and applied AI perspectives to find solutions to unsolved finance questions. This volume presents the applicability of various Machine Learning models such as Support Vector Regression, Regression trees and Markov Switching Models in asset pricing and portfolio theory, Artificial Neural Networks (ANNs) in asset pricing, stock market forecasting utilizing a deep learning model, credit and risk analysis of borrowers using Random Forest Algorithms, examining market efficiency using news-driven sentiment, employing LSTM and RNNs for technical analysis, and price forecasting using deep learning and additive models in financial markets.

Название: The Complete Python Coding Manual - 17th Edition, 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Страниц: 164
Язык: английский
Формат: pdf
Размер: 72.8 MB

Python - это универсальный язык, и рост его популярности, конечно, неудивителен. Его схожесть с повседневным языком сделала его идеальным компаньоном для Raspberry Pi, который часто является первым шагом в практическое программирование. Но пусть вас не обманывает его дружелюбие к новичкам - в Python есть множество более продвинутых функций. В этом новом издании вы узнаете, как программировать на Python, откроете для себя удивительные проекты для улучшения вашего понимания и найдете способы использования Python для расширения ваших возможностей в области вычислений. Вы также создадите увлекательные проекты, включая программирование клона Space Invaders и обучение Raspberry Pi многозадачности. Давайте начнем программировать!

Название: Data-Driven SEO with Python: Solve SEO Challenges with Data Science Using Python
Автор: Andreas Voniatis
Издательство: Apress
Год: 2023
Страниц: 277
Язык: английский
Формат: pdf
Размер: 11.1 MB

Solve SEO problems using Data Science. This hands-on book is packed with Python code and Data Science techniques to help you generate data-driven recommendations and automate the SEO workload. This book is a practical, modern introduction to data science in the SEO context using Python. With social media, mobile, changing search engine algorithms, and ever-increasing expectations of users for super web experiences, too much data is generated for an SEO professional to make sense of in spreadsheets. For any modern-day SEO professional to succeed, it is relevant to find an alternate solution, and data science equips SEOs to grasp the issue at hand and solve it. From Machine Learning to Natural Language Processing (NLP) techniques, Data-Driven SEO with Python provides tried and tested techniques with full explanations for solving both everyday and complex SEO problems. This book is ideal for SEO professionals who want to take their industry skills to the next level and enhance their business value, whether they are a new starter or highly experienced in SEO, Python programming, or both.

Название: An Introduction to Finite Element Analysis Using Matlab Tools
Автор: Shuvra Das
Издательство: Springer
Год: 2023
Страниц: 228
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book is an attempt to develop a guide for the user who is interested in learning the method by doing. There is enough discussion of some of the basic theory so that the user can get a broad understanding of the process. And there are many examples with step-by-step instructions for the user to quickly develop some proficiency in using FEA. We have used Matlab and its PDE toolbox for the examples in this text. The syntax and the modeling process are easy to understand and a new user can become productive very quickly. The PDE toolbox, just like any other commercial software, can solve certain classes of problems well but is not capable of solving every type of problem. For example, it can solve linear problems but is not capable of handling non-linear problems. Being aware of the capabilities of any tool is an important lesson for the user and we have, with this book, tried to highlight that lesson as well. In this text we are introducing some basic concepts of Finite Element Method (FEA) and Matlab as a tool for performing FEA analyses. There are two ways to use Matlab for FEA work. The core calculations in FEA centers around Matrix operations. Matlab is very well suited for performing these types of calculations; Matlab’s origin is from Matrix operations.

Название: React Programming: The Big Nerd Ranch Guide
Автор: Loren Klingman, Ashley Parker
Издательство: Big Nerd Ranch
Год: 2023
Страниц: 705
Язык: английский
Формат: epub (true), mobi
Размер: 29.8 MB

React is today's most popular open-source jаvascript library for front-end web application development. React Programming: The Big Nerd Ranch Guide helps programmers with experience in HTML, CSS, and jаvascript master React through hands-on examples. Based on Big Nerd Ranch's popular React Essentials bootcamp, this guide illuminates key concepts with realistic code, guiding you step by step through building a starter app and a complete, production-ready app, both crafted to help you quickly leverage React’s remarkable power. Use React to write reliable, declarative code, create carts and other e-commerce features, optimize performance, and gain experience with component and end-to-end testing. Along the way, you will learn to use tools like Create React App, functional components, hooks, ESLint, React Router, websockets, the React Testing Library, and Cypress.

Название: Machine Learning: Concepts, Techniques and Applications
Автор: T.V. Geetha, S. Sendhilkumar
Издательство: CRC Press
Год: 2023
Страниц: 478
Язык: английский
Формат: pdf (true)
Размер: 36.5 MB

Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level of explaining Machine Learning and goes on to explain the basis of Machine Learning algorithms. The mathematical foundations required are outlined along with their associations to Machine Learning. The book then goes on to describe important Machine Learning algorithms along with appropriate use cases. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A comprehensive account of various aspects of ethical Machine Learning has been discussed. An outline of Deep Learning models is also included. The use cases, self-assessments, exercises, activities, numerical problems, and projects associated with each chapter aims to concretize the understanding. The R language was basically developed by statisticians to help other statisticians and developers work faster and more efficiently with the data. By now, we know that Machine Learning is basically working with a large amount of data and statistics as a part of Data Science, so the use of the R language is always recommended. Therefore the R language is becoming handy for those working with Machine Learning, making tasks easier, faster, and more innovative.