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

 
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:

Machine Learning for Emotion Analysis in Python: Build AI-powered tools for analyzing emotion using natural language processing and machine learning
Python Machine Learning Is The Complete Guide To Everything You Need To Know About Python Machine Learning Keras, Numpy, Scikit Learn, Tensorflow, With Useful Exercises and examples
Ultimate Machine Learning with ML.NET Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API
Python Machine Learning Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems
Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Data Science and Machine Learning Interview Questions Using R Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Ultimate Machine Learning with ML.NET: Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API (English Edition)
Ultimate Step by Step Guide to Machine Learning Using Python Predictive modelling concepts explained in simple terms for beginners
Python for Data Analysis From the Beginner to Expert Crash Course 3.0 that will Change your Life as a Digital Programmer Thanks to the Minimalism of this Manual. Deep Machine Learning and Big Data
The Art of Machine Learning: A Hands-On Guide to Machine Learning with R
The Art of Machine Learning A Hands-On Guide to Machine Learning with R
The Art of Machine Learning A Hands-On Guide to Machine Learning with R
Machine Learning Q and AI 30 Essential Questions and Answers on Machine Learning and AI
Machine Learning Q and AI 30 Essential Questions and Answers on Machine Learning and AI
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions, First Edition
Machine Learning with Rust A practical attempt to explore Rust and its libraries across popular Machine Learning techniques
Python Machine Learning: Leveraging Python for Implementing Machine Learning Algorithms and Applications (2023 Guide)
Machine Learning with Rust: A practical attempt to explore Rust and its libraries across popular machine learning techniques
Python programming for beginners 3 books in 1 Beginner|s guide, Data science and Machine learning. Switch from noobgramming to PROgramming in 27 days and bring out your code poet attitude
Machine Learning With Python A Comprehensive Beginners Guide to Learn the Realms of Machine Learning with Python
Machine Learning A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning
The Definitive Guide to Machine Learning Operations in AWS Machine Learning Scalability and Optimization with AWS
Image Processing and Machine Learning, Volume 2 Advanced Topics in Image Analysis and Machine Learning
Google JAX Essentials A quick practical learning of blazing-fast library for Machine Learning and Deep Learning projects
PYTHON PROGRAMMING 2 book in 1 A complete guide from beginner to intermediate on python machine learning, data science, tools (Computer Programming 5)
Shallow Learning vs. Deep Learning A Practical Guide for Machine Learning Solutions
Shallow Learning vs. Deep Learning A Practical Guide for Machine Learning Solutions
Ultimate Java for Data Analytics and Machine Learning: Unlock Java|s Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (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
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 Java for Data Analytics and Machine Learning Unlock Java|s Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j
Ultimate Java for Data Analytics and Machine Learning Unlock Java|s Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j
Python Machine Learning: Everything You Should Know About Python Machine Learning Including Scikit Learn, Numpy, PyTorch, Keras And Tensorflow With Step-By-Step Examples And PRACTICAL Exercises
Artificial Intelligence What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
Machine Learning Infrastructure and Best Practices for Software Engineers: Take your machine learning software from a prototype to a fully fledged software system
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
Cracking The Machine Learning Interview 225 Machine Learning Interview Questions with Solutions