BOOKS - Essentials of Python A Lunchtime Learning Guide Master the Programming Skills...
Essentials of Python A Lunchtime Learning Guide Master the Programming Skills Needed in the Age of Generative AI, like ChatGPT, Efficiently and Effectively - Tak Takamiya 2024 PDF | AZW3 | EPUB | MOBI Independently published BOOKS
ECO~11 kg CO²

1 TON

Views
26603

Telegram
 
Essentials of Python A Lunchtime Learning Guide Master the Programming Skills Needed in the Age of Generative AI, like ChatGPT, Efficiently and Effectively
Author: Tak Takamiya
Year: 2024
Pages: 94
Format: PDF | AZW3 | EPUB | MOBI
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
Book Description: In this book, we will explore the world of generative AI and how it is changing the way we live, work, and interact with each other. We will focus on the Python programming language and its applications in machine learning, data science, and automation. The book is designed to be a comprehensive guide to mastering the skills needed to succeed in the age of generative AI, from basic concepts to advanced techniques. The book is divided into four parts: Part 1: Introduction to Generative AI, Part 2: Python Fundamentals, Part 3: Machine Learning and Data Science, and Part 4: Advanced Topics. Each part builds upon the previous one, providing a solid foundation for understanding the concepts and techniques presented.
В этой книге мы исследуем мир генеративного ИИ и то, как он меняет то, как мы живем, работаем и взаимодействуем друг с другом. Мы сосредоточимся на языке программирования Python и его приложениях в области машинного обучения, науки о данных и автоматизации. Книга призвана стать всеобъемлющим руководством к овладению навыками, необходимыми для успеха в век генеративного ИИ, от базовых концепций до передовых техник. Книга разделена на четыре части: Часть 1: Введение в генеративный ИИ, Часть 2: Основы Python, Часть 3: Машинное обучение и наука о данных и Часть 4: Продвинутые темы. Каждая часть основывается на предыдущей, обеспечивая прочную основу для понимания представленных концепций и методов.
Dans ce livre, nous explorons le monde de l'IA générative et comment elle change la façon dont nous vivons, travaillons et interagissons les uns avec les autres. Nous nous concentrerons sur le langage de programmation Python et ses applications dans les domaines de l'apprentissage automatique, de la science des données et de l'automatisation. livre se veut un guide complet pour acquérir les compétences nécessaires pour réussir à l'ère de l'IA générative, des concepts de base aux techniques de pointe. livre est divisé en quatre parties : Partie 1 : Introduction à l'IA générative, Partie 2 : Bases de Python, Partie 3 : Apprentissage automatique et science des données et Partie 4 : Thèmes avancés. Chaque partie est basée sur la précédente, fournissant une base solide pour comprendre les concepts et les méthodes présentés.
En este libro exploramos el mundo de la IA generativa y cómo cambia la forma en que vivimos, trabajamos e interactuamos entre nosotros. Nos centraremos en el lenguaje de programación Python y sus aplicaciones en el campo del aprendizaje automático, la ciencia de datos y la automatización. libro pretende ser una guía integral para dominar las habilidades necesarias para tener éxito en la era de la IA generativa, desde conceptos básicos hasta técnicas avanzadas. libro se divide en cuatro partes: Parte 1: Introducción a la IA generativa, Parte 2: Fundamentos de Python, Parte 3: Aprendizaje automático y ciencia de datos y Parte 4: Temas avanzados. Cada parte se basa en la anterior, proporcionando una base sólida para entender los conceptos y métodos presentados.
In questo libro esploriamo il mondo dell'IA generale e il modo in cui cambia il modo in cui viviamo, lavoriamo e interagiamo. Ci concentreremo sul linguaggio di programmazione di Python e sulle sue applicazioni di apprendimento automatico, scienza dei dati e automazione. Il libro è progettato per essere una guida completa alla padronanza delle competenze necessarie per il successo nell'era dell'intelligenza artificiale genetica, dai concetti di base alle tecniche avanzate. Il libro è suddiviso in quattro parti: Parte 1: Introduzione all'IA generativa, Parte 2: Base Python, Parte 3: Apprendimento automatico e scienza dei dati e Parte 4: Temi avanzati. Ogni parte si basa sulla precedente, fornendo una base solida per comprendere i concetti e i metodi presentati.
In diesem Buch untersuchen wir die Welt der generativen KI und wie sie die Art und Weise verändert, wie wir miteinander leben, arbeiten und interagieren. Wir werden uns auf die Programmiersprache Python und ihre Anwendungen in den Bereichen maschinelles rnen, Datenwissenschaft und Automatisierung konzentrieren. Das Buch soll ein umfassender itfaden für die Beherrschung der Fähigkeiten sein, die für den Erfolg im Zeitalter der generativen KI erforderlich sind, von grundlegenden Konzepten bis hin zu fortgeschrittenen Techniken. Das Buch ist in vier Teile gegliedert: Teil 1: Einführung in generative KI, Teil 2: Grundlagen von Python, Teil 3: Maschinelles rnen und Datenwissenschaft und Teil 4: Fortgeschrittene Themen. Jeder Teil baut auf dem vorherigen auf und bietet eine solide Grundlage für das Verständnis der vorgestellten Konzepte und Methoden.
W tej książce badamy świat generatywnej sztucznej inteligencji i jak to zmienia sposób życia, pracy i interakcji ze sobą. Skupimy się na języku programowania Pythona i jego zastosowaniach w zakresie uczenia maszynowego, nauki o danych i automatyzacji. Książka ma być kompleksowym przewodnikiem do opanowania umiejętności potrzebnych do osiągnięcia sukcesu w wieku generatywnej grypy ptaków, od podstawowych koncepcji po zaawansowane techniki. Książka podzielona jest na cztery części: Część 1: Wprowadzenie do Generatywnej AI, Część 2: Podstawy Pythona, Część 3: Uczenie maszynowe i nauka o danych oraz Część 4: Tematy zaawansowane. Każda część opiera się na poprzednim, stanowiąc solidny fundament dla zrozumienia koncepcji i metod prezentowanych.
''
Bu kitapta, üretken YZ dünyasını ve bunun yaşama, çalışma ve birbirimizle etkileşim biçimimizi nasıl değiştirdiğini keşfediyoruz. Python programlama diline ve makine öğrenimi, veri bilimi ve otomasyondaki uygulamalarına odaklanacağız. Kitap, temel kavramlardan ileri tekniklere kadar üretken AI çağında başarılı olmak için gereken becerilere hakim olmak için kapsamlı bir rehber olmayı amaçlamaktadır. Kitap dört bölüme ayrılmıştır: Bölüm 1: Üretken AI'ya Giriş, Bölüm 2: Python Temelleri, Bölüm 3: Makine Öğrenimi ve Veri Bilimi ve Bölüm 4: İleri Konular. Her bölüm bir öncekine dayanır ve sunulan kavram ve yöntemleri anlamak için sağlam bir temel sağlar.
في هذا الكتاب، نستكشف عالم الذكاء الاصطناعي المولد وكيف يغير الطريقة التي نعيش بها ونعمل ونتفاعل مع بعضنا البعض. سنركز على لغة برمجة Python وتطبيقاتها في التعلم الآلي وعلوم البيانات والأتمتة. يهدف الكتاب إلى أن يكون دليلًا شاملاً لإتقان المهارات اللازمة للنجاح في عصر الذكاء الاصطناعي المولد، من المفاهيم الأساسية إلى التقنيات المتقدمة. ينقسم الكتاب إلى أربعة أجزاء: الجزء 1: مقدمة للذكاء الاصطناعي التوليدي، الجزء 2: أساسيات بايثون، الجزء 3: التعلم الآلي وعلوم البيانات، والجزء 4: الموضوعات المتقدمة. يعتمد كل جزء على الجزء السابق، مما يوفر أساسًا متينًا لفهم المفاهيم والأساليب المقدمة.
在本書中,我們探索了產生性AI的世界,以及它如何改變我們的生活,工作和互動方式。我們將專註於Python編程語言及其在機器學習、數據科學和自動化領域的應用。該書旨在成為全面指南,以掌握在生成AI時代取得成功所需的技能,從基本概念到高級技術。該書分為四個部分:第1部分:生成AI的介紹,第2部分:Python的基礎,第3部分:機器學習和數據科學以及第4部分:高級主題。每一部分都以前一部分為基礎,為理解所提出的概念和方法提供了堅實的基礎。

You may also be interested in:

Algorithmic Essentials Trading with Python Your Comprehenive Guide for 2024
Raspberry Pi 5 Essentials Program, build, and master over 60 projects with Python
Algorithmic Trading Essentials Python Integration for the Modern Trader
ChatGPT Your Python Coach, Mastering the Essentials in 100 Prompts
Python for beginners Step-By-Step Guide to Learning Python Programming
Learn Python Programming A Beginners Guide to Learn the Hard Way Visually in One Day and Learn It Well Hands-on Learning With Basics Of Computer Language And Python Coding With Practical Exercises
Practical Machine Learning with R and Python Machine Learning in Stereo, Third Edition
Python for Data Science A step-by-step Python Programming Guide to Master Big Data, Analysis, Machine Learning, and Artificial Intelligence
PYTHON 2 Books in 1 Python Programming & Data Science. Master Data Analysis in Less than 7 Days and Discover the Secrets of Machine Learning with Step-by-Step Exercises
Easy Game App Development in Python, Even for Beginners: Python crash course. Game App cookbook. Learning for beginner. programming is very fun.
Python Programming for Intermediates The Ultimate Intermediate|s Guide to Learn Python Programming Step by Step and Master Computer development + machine learning In A Few Days (Vol. 2)
Data Science 2 Books in 1 Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects
Financial Accounting Essentials You Always Wanted to Know (Self Learning Management Series Book 8)
Algorithmic Trading Essentials: Python Integration for the Modern Trader: A Comprehensive Guide
Geospatial Data Science Essentials 101 Practical Python Tips and Tricks
Geospatial Data Science Essentials 101 Practical Python Tips and Tricks
Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks
Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle computer vision and machine learning with the newest tools, techniques and algorithms
Unsupervised Machine Learning in Python Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis
Fundamentals of Machine & Deep Learning A Complete Guide on Python Coding for Machine and Deep Learning with Practical Exercises for Learners (Sachan Book 102)
Hacker|s Guide to Machine Learning with Python Hands-on guide to solving real-world Machine Learning problems with Scikit-Learn, TensorFlow 2, and Keras
Machine Learning for Emotion Analysis in Python: Build AI-powered tools for analyzing emotion using natural language processing and machine learning
Access the secrets of Python Programming for Beginners Speed Up Python Learning in 7 Days! Discover the No-Fail, Step-by-Step Plan to Unlock Secrets, Open Doors and Transform Your Tech Career
Access the secrets of Python Programming for Beginners Speed Up Python Learning in 7 Days! Discover the No-Fail, Step-by-Step Plan to Unlock Secrets, Open Doors and Transform Your Tech Career
Python Programming 2 Books in 1 Python for Data Analysis and Science with Big Data Analysis, Statistics and Machine Learning
How to Personalize Learning: A Practical Guide for Getting Started and Going Deeper (Corwin Teaching Essentials)
Introduction to Python Network Automation Volume II Stepping up Beyond the Essentials for Success, 2nd Edition
Introduction to Python Network Automation Volume II Stepping up Beyond the Essentials for Success, 2nd Edition
Python Data Science: Deep Learning Guide for Beginners with Data Science. Python Programming and Crush Course.
Epic Python Coding: Interactive Coding Adventures for Kids: A Step By Step Guide to Learning Python
Python Data Science The Complete Guide to Data Analytics + Machine Learning + Big Data Science + Pandas Python. The Easy Way to Programming (Exercises Included)
Python For Beginners The Ultimate Step by Step Learning Guide for Beginners to Python Programming in the Best Optimal Way
Python (2nd Edition) Learn Python in a day and be a professional This book makes coding with Python easy Python for Beginners Learn to code with Python
Python (2nd Edition) Learn Python in a day and be a professional This book makes coding with Python easy Python for Beginners Learn to code with Python
Deep Learning with Python
Learning Python with Raspberry Pi
Machine Learning in Python for Everyone
Machine Learning With Python
Python Machine Learning By Example
Machine Learning in Python