BOOKS - PROGRAMMING - Simple Machine Learning for Programmers Beginner's Intro to Usi...
Simple Machine Learning for Programmers Beginner
ECO~11 kg CO²

1 TON

Views
759911

Telegram
 
Simple Machine Learning for Programmers Beginner's Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Author: Lazy Programmer
Year: 2018
Pages: 58
Format: EPUB | RTF | PDF CONV
File size: 10.1 MB
Language: ENG



Book Description: Simple Machine Learning for Programmers Beginner's Intro to Using Machine Learning Deep Learning and Artificial Intelligence for Practical Applications Lazy Programmer 2018 58 Genre: Technology, Machine Learning, Artificial Intelligence, Programming Overview: In this book, we explore the fundamental concepts of machine learning and deep learning in a simplified and accessible format, tailored specifically for programmers who want to dive into practical applications without delving into mathematical theories. As technology continues to evolve at an unprecedented pace, it becomes increasingly important for us to comprehend the process of its development and how it impacts our lives. This book serves as an introduction to machine learning and deep learning, providing a solid foundation for programmers to build upon. Chapter 1: The Evolution of Technology The chapter begins with an overview of the technological landscape, highlighting the rapid advancements in machine learning and artificial intelligence. We examine the historical context of these fields, tracing their origins and evolution, and how they have transformed into the powerful tools we use today. We discuss the importance of understanding the technological process and its impact on humanity's survival and unity in a warring world.
Простое машинное обучение для программистов Введение начинающего в использование машинного обучения Глубокое обучение и искусственный интеллект для практических приложений Ленивый программист 2018 58 Жанр: Технологии, машинное обучение, искусственный интеллект, обзор программирования: В этой книге мы исследуем фундаментальные концепции машинного обучения и глубокого обучения в упрощенном и доступном формате, адаптированном специально для программистов, которые хотят погрузиться в практические приложения, не углубляясь в математические теории. Поскольку технологии продолжают развиваться беспрецедентными темпами, для нас становится все более важным понимать процесс их развития и то, как они влияют на нашу жизнь. Эта книга служит введением в машинное обучение и глубокое обучение, обеспечивая прочную основу для программистов. Глава 1: Эволюция технологий Глава начинается с обзора технологического ландшафта, освещающего быстрое развитие машинного обучения и искусственного интеллекта. Мы исследуем исторический контекст этих областей, отслеживая их происхождение и эволюцию, а также то, как они превратились в мощные инструменты, которые мы используем сегодня. Мы обсуждаем важность понимания технологического процесса и его влияния на выживание и единство человечества в воюющем мире.
Aprendizaje automático simple para programadores Introducción del principiante al uso del aprendizaje automático Aprendizaje profundo e inteligencia artificial para aplicaciones prácticas Programador perezoso 2018 58 Género: Tecnología, aprendizaje automático, inteligencia artificial, revisión de programación: En este libro exploramos conceptos fundamentales del aprendizaje automático y el aprendizaje profundo en un formato simplificado y accesible, adaptado específicamente para programadores que quieren sumergirse en aplicaciones prácticas sin profundizar en teorías matemáticas. A medida que la tecnología continúa evolucionando a un ritmo sin precedentes, es cada vez más importante para nosotros comprender el proceso de su desarrollo y cómo afectan nuestras vidas. Este libro sirve como introducción al aprendizaje automático y al aprendizaje profundo, proporcionando una base sólida para los programadores. Capítulo 1: Evolución de la tecnología capítulo comienza con una revisión del panorama tecnológico que destaca el rápido desarrollo del aprendizaje automático y la inteligencia artificial. Estamos investigando el contexto histórico de estas áreas, rastreando su origen y evolución, así como cómo se han convertido en las poderosas herramientas que utilizamos hoy en día. Discutimos la importancia de entender el proceso tecnológico y su impacto en la supervivencia y unidad de la humanidad en un mundo en guerra.
Semplice apprendimento automatico per programmatori Introduzione di chi inizia l'apprendimento automatico Apprendimento profondo e intelligenza artificiale per applicazioni pratiche Programmatore pigro 2018 58 Genere: Tecnologia, apprendimento automatico, intelligenza artificiale, programmazione: in questo libro esploriamo i concetti fondamentali dell'apprendimento automatico e dell'apprendimento approfondito in un formato semplificato e accessibile, adattato appositamente ai programmatori che vogliono immergersi in applicazioni pratiche senza approfondire le teorie matematiche. Dato che la tecnologia continua a crescere a un ritmo senza precedenti, è sempre più importante per noi comprendere il loro sviluppo e il loro impatto sulle nostre vite. Questo libro funge da introduzione all'apprendimento automatico e all'apprendimento approfondito, fornendo una base solida per i programmatori. Capitolo 1: Evoluzione della tecnologia Il capitolo inizia con una panoramica del panorama tecnologico che mette in luce il rapido sviluppo dell'apprendimento automatico e dell'intelligenza artificiale. Stiamo esplorando il contesto storico di queste aree, monitorando le loro origini e l'evoluzione, e come si sono trasformate in strumenti potenti che usiamo oggi. Stiamo discutendo dell'importanza della comprensione del processo tecnologico e del suo impatto sulla sopravvivenza e l'unità dell'umanità nel mondo in guerra.
''
プログラマーのための簡単な機械学習機械学習を使用する初心者を紹介する実用的なアプリケーションのためのディープラーニングと人工知能Lazyプログラマー2018 58ジャンル: 技術、機械学習、人工知能、プログラミングの概要:本書では、数学理論を掘り下げることなく実用的なアプリケーションに没頭したいプログラマに特化した簡略化されたアクセシブルな形式で機械学習とディープラーニングの基本的な概念を探求します。テクノロジーがかつてないペースで進化し続ける中で、その開発プロセスとそれが私たちの生活にどのように影響するかを理解することはますます重要になっています。本書は機械学習とディープラーニングの入門書となっており、プログラマーの確固たる基盤となっています。第1章:テクノロジーの進化この章は、機械学習と人工知能の急速な発展を強調したテクノロジーの概要から始まります。私たちは、これらの地域の歴史的な文脈を探求し、その起源と進化を追跡し、そしてそれらがどのようにして今日私たちが使用する強力なツールに進化したかを追跡します。我々は、技術プロセスを理解することの重要性と、戦争世界における人類の生存と団結に及ぼす影響について議論する。

You may also be interested in:

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
Machine Learning with Core ML 2 and Swift A beginner-friendly guide to integrating machine learning into your apps
Machine Learning for Absolute Beginners An Absolute beginner’s guide to learning and understanding machine learning successfully
Machine Learning Hero Master Data Science with Python Essentials Machine Learning with Python Hands-On Guide from Beginner to Expert (Mastering the AI Revolution Book 1)
Python Machine Learning A Hands-On Beginner|s Guide to Effectively Understand Artificial Neural Networks and Machine Learning Using Python
Python Machine Learning for Beginners Unlocking the Power of Data. A Beginner|s Guide to Machine Learning with Python
Python Machine Learning for Beginners: Unlocking the Power of Data. A Beginner|s Guide to Machine Learning with Python
Python Machine Learning for Beginners Unlocking the Power of Data. A Beginner|s Guide to Machine Learning with Python
Machine Learning with Python Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies
Machine Learning for Finance Beginner|s guide to explore machine learning in banking and finance
Math for Programmers 3D graphics, machine learning, and simulations with Python (Final)
Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner
Math for Programmers 3D graphics, machine learning, and simulations with Python (MEAP Edition)
Math for Programmers 3D graphics, machine learning, and simulations with Python (MEAP Version 11)
Genetic Algorithms and Machine Learning for Programmers Create AI Models and Evolve Solutions
AI and ML for Coders A Comprehensive Guide to Artificial Intelligence and Machine Learning Techniques, Tools, Real-World Applications, and Ethical Considerations for Modern Programmers
AI and ML for Coders A Comprehensive Guide to Artificial Intelligence and Machine Learning Techniques, Tools, Real-World Applications, and Ethical Considerations for Modern Programmers
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
AI and ML for Coders: A Comprehensive Guide to Artificial Intelligence and Machine Learning Techniques, Tools, Real-World Applications, and Ethical Considerations … for Modern Programmers (AI Fu
Machine Learning A Comprehensive Beginner|s Guide
Machine Learning A Comprehensive Beginner|s Guide
Machine Learning A Comprehensive Beginner|s Guide
Grokking Algorithms Simple and Effective Methods to Grokking Deep Learning and Machine Learning
Python Machine Learning: A Beginner|s Guide to Scikit-Learn
Python Machine Learning A Beginner|s Guide to Scikit-Learn A Hands-On Approach
Evaluating Machine Learning Models A Beginner|s Guide to Key Concepts and Pitfalls
Python Machine Learning A Beginner|s Guide to Scikit-Learn A Hands-On Approach
Python Machine Learning The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
The Python Bible 7 in 1 Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Machine Learning for Business The Ultimate Artificial Intelligence & Machine Learning for Managers, Team Leaders and Entrepreneurs
Machine Learning for Beginners An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning
Building Machine Learning Systems Using Python Practice to Train Predictive Models and Analyze Machine Learning Results
Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands
Applied Machine Learning and High-Performance Computing on AWS: Accelerate the development of machine learning applications following architectural best practices
Machine Learning Master Machine Learning Fundamentals for Beginners, Business Leaders and Aspiring Data Scientists
Machine Learning for Data Streams with Practical Examples in MOA (Adaptive Computation and Machine Learning series)
Online Machine Learning: A Practical Guide with Examples in Python (Machine Learning: Foundations, Methodologies, and Applications)