BOOKS - Machine Learning with Python Master Pandas, Scikit-learn, and TensorFlow for ...
Machine Learning with Python Master Pandas, Scikit-learn, and TensorFlow for Building Smart IA Models - Joseph T. Handy 2024 PDF | AZW3 | EPUB | MOBI Independently published BOOKS
ECO~12 kg CO²

1 TON

Views
11246

Telegram
 
Machine Learning with Python Master Pandas, Scikit-learn, and TensorFlow for Building Smart IA Models
Author: Joseph T. Handy
Year: 2024
Pages: 107
Format: PDF | AZW3 | EPUB | MOBI
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
The book "Machine Learning with Python Master Pandas Scikitlearn and TensorFlow for Building Smart IA Models" is a comprehensive guide to mastering machine learning techniques using Python, one of the most popular programming languages in the world. The book covers the latest advancements in machine learning and provides practical examples and exercises to help readers develop their skills in this field. It begins by introducing the basics of machine learning and gradually moves on to more advanced topics such as neural networks, deep learning, and natural language processing. The book focuses on three key libraries in Python - Pandas, Scikit-learn, and TensorFlow - which are widely used in industry and academia for building intelligent models. It covers the entire process of machine learning, from data preprocessing and feature engineering to model selection and evaluation, providing readers with a solid foundation in machine learning principles and practices. The book also explores the applications of machine learning in various industries such as healthcare, finance, marketing, and more. It discusses the challenges and limitations of machine learning and how to overcome them.
Книга «Machine arning with Python Master Pandas Scikitlearn and TensorFlow for Building Smart IA Models» - комплексное руководство по освоению техник машинного обучения с помощью Python, одного из самых популярных языков программирования в мире. Книга охватывает последние достижения в области машинного обучения и содержит практические примеры и упражнения, которые помогут читателям развить свои навыки в этой области. Он начинается с введения основ машинного обучения и постепенно переходит к более продвинутым темам, таким как нейронные сети, глубокое обучение и обработка естественного языка. Книга посвящена трем ключевым библиотекам на Python - Pandas, Scikit-learn и TensorFlow - которые широко используются в промышленности и научных кругах для построения интеллектуальных моделей. Он охватывает весь процесс машинного обучения, от предварительной обработки данных и разработки функций до выбора и оценки моделей, предоставляя читателям прочную основу в принципах и практиках машинного обучения. Книга также исследует применение машинного обучения в различных отраслях, таких как здравоохранение, финансы, маркетинг и многое другое. В нем обсуждаются проблемы и ограничения машинного обучения и способы их преодоления.
livre « Machine arning with Python Master Pandas Scikitlearn and TensorFlow for Building Smart IA Models » est un guide complet pour apprendre les techniques d'apprentissage automatique avec Python, l'un des langages de programmation les plus populaires au monde. livre couvre les dernières avancées dans le domaine de l'apprentissage automatique et contient des exemples pratiques et des exercices qui aideront les lecteurs à développer leurs compétences dans ce domaine. Il commence par l'introduction des bases de l'apprentissage automatique et passe progressivement à des sujets plus avancés tels que les réseaux neuronaux, l'apprentissage profond et le traitement du langage naturel. livre traite de trois bibliothèques clés sur Python - Pandas, Scikit-learn et TensorFlow - qui sont largement utilisées dans l'industrie et le monde universitaire pour construire des modèles intellectuels. Il couvre l'ensemble du processus d'apprentissage automatique, depuis le prétraitement des données et le développement des fonctions jusqu'à la sélection et l'évaluation des modèles, offrant aux lecteurs une base solide dans les principes et les pratiques de l'apprentissage automatique. livre explore également les applications de l'apprentissage automatique dans divers secteurs tels que la santé, la finance, le marketing et bien plus encore. Il examine les défis et les limites de l'apprentissage automatique et les moyens de les surmonter.
«Machine arning with Python Master Pandas Scikitlearn and TensorFlow for Building Smart IA Models» es una guía completa para dominar las técnicas de aprendizaje automático con Python, uno de los idiomas más populares programación en el mundo. libro cubre los últimos avances en el aprendizaje automático y contiene ejemplos prácticos y ejercicios que ayudarán a los lectores a desarrollar sus habilidades en este campo. Comienza con la introducción de las bases del aprendizaje automático y poco a poco va pasando a temas más avanzados como las redes neuronales, el aprendizaje profundo y el procesamiento del lenguaje natural. libro trata sobre tres bibliotecas clave en Python - Pandas, Scikit-learn y TensorFlow - que son ampliamente utilizadas en la industria y la academia para construir modelos inteligentes. Abarca todo el proceso de aprendizaje automático, desde el procesamiento previo de datos y el desarrollo de funciones hasta la selección y evaluación de modelos, proporcionando a los lectores una base sólida en los principios y prácticas del aprendizaje automático. libro también explora la aplicación del aprendizaje automático en una variedad de industrias como la salud, las finanzas, el marketing y más. Discute los problemas y limitaciones del aprendizaje automático y cómo superarlos.
Machine arning with Python Master Pandas Scikitlearn and for Building Smart IA Models è una guida completa per l'apprendimento automatico con Python, uno dei linguaggi di programmazione più popolari al mondo. Il libro comprende gli ultimi progressi nell'apprendimento automatico e contiene esempi pratici ed esercizi che aiutano i lettori a sviluppare le proprie competenze in questo campo. Inizia con l'introduzione di basi di apprendimento automatico e gradualmente passa a temi più avanzati come le reti neurali, l'apprendimento profondo e l'elaborazione del linguaggio naturale. Il libro è dedicato a tre librerie chiave su Python - Pandas, Scikit-learn e TensorFlow - ampiamente utilizzate nell'industria e negli ambienti scientifici per costruire modelli intelligenti. Include l'intero processo di apprendimento automatico, dall'elaborazione dei dati allo sviluppo delle funzioni fino alla scelta e alla valutazione dei modelli, fornendo ai lettori una base solida nei principi e nelle pratiche di apprendimento automatico. Il libro esplora anche l'uso dell'apprendimento automatico in diversi settori, come l'assistenza sanitaria, la finanza, il marketing e molto altro ancora. Parla dei problemi e dei limiti dell'apprendimento automatico e dei modi per superarli.
Das Buch „Machine arning with Python Master Pandas Scikitlearn and TensorFlow for Building Smart IA Models“ ist ein umfassender itfaden zur Beherrschung maschineller rntechniken mit Python, einer der beliebtesten Programmiersprachen der Welt. Das Buch behandelt die neuesten Fortschritte im Bereich des maschinellen rnens und enthält praktische Beispiele und Übungen, die den sern helfen, ihre Fähigkeiten in diesem Bereich zu entwickeln. Es beginnt mit der Einführung der Grundlagen des maschinellen rnens und bewegt sich allmählich zu fortgeschritteneren Themen wie neuronalen Netzwerken, Deep arning und natürlicher Sprachverarbeitung. Das Buch konzentriert sich auf drei wichtige Python-Bibliotheken - Pandas, Scikit-learn und TensorFlow -, die in Industrie und Wissenschaft weit verbreitet sind, um intelligente Modelle zu erstellen. Es deckt den gesamten Prozess des maschinellen rnens ab, von der Datenvorverarbeitung und Funktionsentwicklung bis hin zur Auswahl und Bewertung von Modellen, und bietet den sern eine solide Grundlage in den Prinzipien und Praktiken des maschinellen rnens. Das Buch untersucht auch Anwendungen des maschinellen rnens in verschiedenen Branchen wie Gesundheitswesen, Finanzen, Marketing und mehr. Es diskutiert die Herausforderungen und Grenzen des maschinellen rnens und wie man sie überwinden kann.
''
Akıllı IA Modelleri Oluşturmak için Python Master Pandas Scikitlearn ve TensorFlow ile Makine Öğrenimi, dünyanın en popüler programlama dillerinden biri olan Python'u kullanarak makine öğrenme tekniklerine hakim olmak için kapsamlı bir kılavuzdur. Kitap, makine öğrenimindeki en son gelişmeleri kapsamakta ve okuyucuların bu alandaki becerilerini geliştirmelerine yardımcı olacak pratik örnekler ve alıştırmalar sunmaktadır. Makine öğreniminin temellerinin tanıtılmasıyla başlar ve sinir ağları, derin öğrenme ve doğal dil işleme gibi daha ileri konulara ilerler. Kitap, akıllı modeller oluşturmak için endüstride ve akademide yaygın olarak kullanılan üç temel Python kütüphanesine (Pandas, Scikit-learn ve TensorFlow) odaklanıyor. Veri ön işleme ve özellik geliştirmeden model seçimi ve değerlendirmesine kadar tüm makine öğrenimi sürecini kapsar ve okuyuculara makine öğrenimi ilkeleri ve uygulamalarında sağlam bir temel sağlar. Kitap ayrıca, sağlık, finans, pazarlama ve daha fazlası gibi sektörlerde makine öğreniminin uygulanmasını da araştırıyor. Makine öğreniminin zorluklarını ve sınırlamalarını ve bunların nasıl üstesinden gelineceğini tartışır.
「使用Python Master Pandas Scikitlearn和TensorFlow for Building Smart IA Models」一書是使用Python(世界上最受歡迎的編程語言之一)學習機器學習技術的綜合指南。該書涵蓋了機器學習的最新進展,並提供了實用的示例和練習,以幫助讀者發展在該領域的技能。它從引入機器學習基礎開始,逐漸轉向更高級的主題,例如神經網絡,深度學習和自然語言處理。該書重點介紹了Python上的三個關鍵圖書館-Pandas,Scikit-learn和TensorFlow-在工業和學術界廣泛用於構建智能模型。它涵蓋了機器學習的整個過程,從數據預處理和功能開發到模型的選擇和評估,為讀者提供了機器學習原理和實踐的堅實基礎。該書還探討了機器學習在醫療保健,金融,市場營銷等各個領域的應用。討論了機器學習的問題和局限性以及如何克服這些問題。

You may also be interested in:

Learning the Pandas Library Python Tools for Data Munging, Analysis, and Visual
Machine Learning Master Supervised and Unsupervised Learning Algorithms with Real Examples
Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)
Ultimate Machine Learning with Scikit-Learn Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning
Ultimate Machine Learning with Scikit-Learn Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning
Machine Learning For Beginners Step-by-Step Guide to Machine Learning, a Beginners Approach to Artificial Intelligence, Big Data, Basic Python Algorithms, and Techniques for Business (Practical Exampl
Ultimate Machine Learning with Scikit-Learn Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning
The Best Python Programming Step-By-Step Beginners Guide: Easily Master Software engineering with Machine Learning, Data Structures, Syntax, Django Object-Oriented Programming, and AI application
Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock … Into Machine Learning (English Editi
Machine Learning Step-by-Step Guide To Implement Machine Learning Algorithms with Python
Python for Data Science Master Data Analysis from Scratch, with Business Analytics Tools and Step-by-Step techniques for Beginners. The Future of Machine Learning & Applied Artificial Intelligence
Python for Beginners A Step by Step Guide to Python Programming, Data Science, and Predictive Model. A Practical Introduction to Machine Learning with Python
Python for Computer Vision Unlocking Image Processing and Machine Learning with Python
Python for Computer Vision Unlocking Image Processing and Machine Learning with Python
Python Programming 2 Books in 1 Python For Beginners & Machine Learning
Python Programming A beginners’ guide to understand machine learning and master coding. Includes Smalltalk, Java, TCL, javascript, Perl, Scheme, Common Lisp, Data Science Analysis, C++, PHP & Rub
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
Machine Learning with Python A Comprehensive Guide To Algorithms, Deep Learning Techniques, And Practical Applications
Python 6 Books in 1 The Ultimate Bible to Learn Python Programming for a Career in Machine Learning, Data Science
Python for Beginners: Comprehensive Guide to the Basics of Programming, Machine Learning, Data Science and Analysis with Python.
Hands-on Supervised Learning with Python Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms
Default Loan Prediction Based On Customer Behavior Using Machine Learning And Deep Learning With Python, Second Edition
Generative AI with Python Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems
PYTHON PROGRAMMING AND MACHINE LEARNING The ultimate guide for beginners to learn Python and mastering the fundamentals of ML + tools and tricks
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
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
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
Mastering Excel VBA and Machine Learning A Complete, Step-by-Step Guide To Learn and Master Excel VBA and Machine Learning From Scratch
Introduction to Python: With Applications in Optimization, Image and Video Processing, and Machine Learning (Chapman and Hall CRC The Python Series)
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
Mastering ChatGPT and Google Colab for Machine Learning Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, Google Colab, and Python
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 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
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)
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Machine Learning for Beginners A Complete and Phased Beginner’s Guide to Learning and Understanding Machine Learning and Artificial Intelligence Algoritms
Python Machine Learning A Step-by-Step Guide to Scikit-Learn and TensorFlow (Includes a Python Programming Crash Course)