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
26606

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:

Machine Learning with Python A Comprehensive Guide To Algorithms, Deep Learning Techniques, And Practical Applications
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
Machine Learning with Neural Networks An In-depth Visual Introduction with Python Make Your Own Neural Network in Python A Simple Guide on Machine Learning with Neural Networks
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Machine Learning with Python A Step-By-Step Guide to Learn and Master Python Machine Learning
Python Machine Learning For Beginners An introduction to neural networks and a brief overview of the processes you need to know when programming computers and coding with Python
PYTHON PROGRAMMING AND MACHINE LEARNING The ultimate guide for beginners to learn Python and mastering the fundamentals of ML + tools and tricks
Python The Stress Free Way To Learning Python Inside And Out
Python Machine Learning for Beginners Learning from Scratch Numpy, Pandas, Matplotlib, Seaborn, SKlearn and TensorFlow 2.0
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms A Practical Approach Using Python
Generative AI with Python Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems
Default Loan Prediction Based On Customer Behavior Using Machine Learning And Deep Learning With Python, Second Edition
Machine Learning An In-Depth Beginners Guide into the Essentials of Machine Learning Algorithms
Introduction to Python: With Applications in Optimization, Image and Video Processing, and Machine Learning (Chapman and Hall CRC The Python Series)
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Learning Genetic Algorithms with Python Empower the Performance of Machine Learning and AI Models with the Capabilities of a Powerful Search Algorithm
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Data Science Crash Course Thyroid Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI, Second Edition
Python Programming The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions
Python Highway 2 Books in 1 The Fastest Way for Beginners to Learn Python Programming, Data Science and Machine Learning in 3 Days (or less) + Practical Exercises Included
Python for Professionals Learning Python as a Second Language
Let Us Python Solutions - 5th Edition: Learn By Doing - The Python Learning Mantra Solutions to all Exercises in Let Us Python Cross-check Your Solutions (English Edition)
Ultimate Deepfake Detection Using Python Master Deep Learning Techniques like CNNs, GANs, and Transformers to Detect Deepfakes in Images, Audio, and Videos Using Python
Python Essentials for AWS Cloud Developers: Run and deploy cloud-based Python applications using AWS
Machine Learning with Python The Ultimate Guide for Absolute Beginners with Steps to Implement Artificial Neural Networks with Real Examples (Useful Python Tools eg. Anaconda, Jupiter Notebook)
Python Programming for Beginners: Python Mastery in 7 Days with 2025|s Innovative Learning Strategies - Unlock Your Coding Potential, Exclusive Exercises and Projects for the Aspiring Developer
Python Essentials You Always Wanted to Know
Python Essentials For Dummies
Python Essentials For Dummies
The Essentials of Conditioning and Learning
Python Machine Learning A Step-by-Step Guide to Scikit-Learn and TensorFlow (Includes a Python Programming Crash Course)
Python Programming A complete beginners guide on python machine learning, data science and tools (Computer Programming Book 1)
Python Programming Advanced Applications and Features Object-Oriented Programming, Data Analysis, Artificial Intelligence and Machine Learning with Python
PYTHON PROGRAMMING 2 book in 1 A complete guide from beginner to intermediate on python machine learning, data science, tools (Computer Programming 5)
Coding for Beginners: Python: A Step-by-Step Guide to Learning Python Programing with Game and App Development Projects (Learn to Code)
Python - 2 Books in 1 Python and Machine Learning for Beginners The Ultimate Guide from Beginners to Expert Concepts
Deep Learning for Data Architects: Unleash the power of Python|s deep learning algorithms (English Edition)
Learn AI with Python Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn
Machine Learning With Python 3 books in 1 Hands-On Learning for Beginners+An in-Depth Guide Beyond the Basics+A Practical Guide for Experts
Building Machine Learning Systems Using Python Practice to Train Predictive Models and Analyze Machine Learning Results