The Applied Artificial Intelligence Workshop: Start working with AI today, to build games, design decision trees, and train your own machine learning models
bWith knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python, through practical exercises and engaging activities/b h4Key Features/h4 ulliLearn about AI and ML algorithms from the perspective of a seasoned data scientist /li...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2020
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bWith knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python, through practical exercises and engaging activities/b h4Key Features/h4 ulliLearn about AI and ML algorithms from the perspective of a seasoned data scientist /li liGet practical experience in ML algorithms, such as regression, tree algorithms, clustering, and more /li liDesign neural networks that emulate the human brain/li/ul h4Book Description/h4 You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career? The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career. The book begins by teaching you how to predict outcomes using regression. You'll then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you'll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you'll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs). By the end of this applied AI book, you'll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models. h4What you will learn/h4 ulliCreate your first AI game in Python with the minmax algorithm /li liImplement regression techniques to simplify real-world data /li liExperiment with classification techniques to label real-world data /li liPerform predictive analysis in Python using decision trees and random forests /li liUse clustering algorithms to group data without manual support /li liLearn how to use neural networks to process and classify labeled images/li/ul h4Who this book is for/h4 The Applied Artificial Intelligence Workshop is designed for software developers and data scientists who want to enrich their projects with machine learning. Although you do not need any prior experience in AI, it is recommended that you have knowledge of high school-level mathematics and at least one programming language, preferably Python. |
| Beschreibung: | 1 Online-Ressource (420 Seiten) |
| ISBN: | 9781800203730 |
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| 520 | |a bWith knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python, through practical exercises and engaging activities/b h4Key Features/h4 ulliLearn about AI and ML algorithms from the perspective of a seasoned data scientist /li liGet practical experience in ML algorithms, such as regression, tree algorithms, clustering, and more /li liDesign neural networks that emulate the human brain/li/ul h4Book Description/h4 You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career? The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career. | ||
| 520 | |a The book begins by teaching you how to predict outcomes using regression. You'll then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you'll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you'll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs). By the end of this applied AI book, you'll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models. | ||
| 520 | |a h4What you will learn/h4 ulliCreate your first AI game in Python with the minmax algorithm /li liImplement regression techniques to simplify real-world data /li liExperiment with classification techniques to label real-world data /li liPerform predictive analysis in Python using decision trees and random forests /li liUse clustering algorithms to group data without manual support /li liLearn how to use neural networks to process and classify labeled images/li/ul h4Who this book is for/h4 The Applied Artificial Intelligence Workshop is designed for software developers and data scientists who want to enrich their projects with machine learning. Although you do not need any prior experience in AI, it is recommended that you have knowledge of high school-level mathematics and at least one programming language, preferably Python. | ||
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:34Z |
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| isbn | 9781800203730 |
| language | English |
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| spelling | So, Anthony Verfasser aut The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models So, Anthony 1 Birmingham Packt Publishing Limited 2020 1 Online-Ressource (420 Seiten) txt rdacontent c rdamedia cr rdacarrier bWith knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python, through practical exercises and engaging activities/b h4Key Features/h4 ulliLearn about AI and ML algorithms from the perspective of a seasoned data scientist /li liGet practical experience in ML algorithms, such as regression, tree algorithms, clustering, and more /li liDesign neural networks that emulate the human brain/li/ul h4Book Description/h4 You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career? The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career. The book begins by teaching you how to predict outcomes using regression. You'll then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you'll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you'll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs). By the end of this applied AI book, you'll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models. h4What you will learn/h4 ulliCreate your first AI game in Python with the minmax algorithm /li liImplement regression techniques to simplify real-world data /li liExperiment with classification techniques to label real-world data /li liPerform predictive analysis in Python using decision trees and random forests /li liUse clustering algorithms to group data without manual support /li liLearn how to use neural networks to process and classify labeled images/li/ul h4Who this book is for/h4 The Applied Artificial Intelligence Workshop is designed for software developers and data scientists who want to enrich their projects with machine learning. Although you do not need any prior experience in AI, it is recommended that you have knowledge of high school-level mathematics and at least one programming language, preferably Python. COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Neural Networks So, William Sonstige oth Nagy, Zsolt Sonstige oth |
| spellingShingle | So, Anthony The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Neural Networks |
| title | The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models |
| title_auth | The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models |
| title_exact_search | The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models |
| title_exact_search_txtP | The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models |
| title_full | The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models So, Anthony |
| title_fullStr | The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models So, Anthony |
| title_full_unstemmed | The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models So, Anthony |
| title_short | The Applied Artificial Intelligence Workshop |
| title_sort | the applied artificial intelligence workshop start working with ai today to build games design decision trees and train your own machine learning models |
| title_sub | Start working with AI today, to build games, design decision trees, and train your own machine learning models |
| topic | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Neural Networks |
| topic_facet | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Neural Networks |
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