Article June 23, 2023

A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples). (Arificial Intelligence Book 1)

Whether you're a data scientist, software engineer, or simply interested in learning about machine learning, "A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)" is an excellent resource for gaining a comprehensive understanding of this exciting field. This book introduces you to the 42 most commonly used machine learning algorithms in an understandable way. Each algorithm is also demonstrated with a simple code example in Python. About the Author Murat Durmus is CEO and founder of AISOMA (a Frankfurt am Main (Germany) based company specializing in AI-based technology development and consulting) and Author of the book "Mindful AI - Reflections on Artificial Intelligence" and "INSIDE ALAN TURING" The following algorithms are covered in this book: • ADABOOST • ADAM OPTIMIZATION • AGGLOMERATIVE CLUSTERING • ARMA/ARIMA MODEL • BERT • CONVOLUTIONAL NEURAL NETWORK • DBSCAN • DECISION TREE • DEEP Q-LEARNING • EFFICIENTNET • FACTOR ANALYSIS OF CORRESPONDENCES • GAN • GMM • GPT-3 • GRADIENT BOOSTING MACHINE • GRADIENT DESCENT • GRAPH NEURAL NETWORKS • HIERARCHICAL CLUSTERING • HIDDEN MARKOV MODEL (HMM) • INDEPENDENT COMPONENT ANALYSIS • ISOLATION FOREST • K-MEANS • K-NEAREST NEIGHBOUR • LINEAR REGRESSION • LOGISTIC REGRESSION • LSTM • MEAN SHIFT • MOBILENET • MONTE CARLO ALGORITHM • MULTIMODAL PARALLEL NETWORK • NAIVE BAYES CLASSIFIERS • PROXIMAL POLICY OPTIMIZATION • PRINCIPAL COMPONENT ANALYSIS • Q-LEARNING • RANDOM FORESTS • RECURRENT NEURAL NETWORK • RESNET • SPATIAL TEMPORAL GRAPH CONVOLUTIONAL NETWORKS • STOCHASTIC GRADIENT DESCENT • SUPPORT VECTOR MACHINE • WAVENET • XGBOOST From the Publisher <img alt="A hands-on guide to the 42 most popular Machine Learning Algorithms" src="https://images-na.ssl-images-amazon.com/images/G/01/x-locale/common/grey-pixel.gif" class="a-spacing-base a-lazy-loaded" data-src="https://m.media-amazon.com/images/S/aplus-media/kdp/f13239b7-c7a1-42b4-bdd6-7c234a269000.__CR0,0,970,600_PT0_SX970_V1___.png"><img alt="A hands-on guide to the 42 most popular Machine Learning Algorithms" src="https://m.media-amazon.com/images/S/aplus-media/kdp/f13239b7-c7a1-42b4-bdd6-7c234a269000.__CR0,0,970,600_PT0_SX970_V1___.png"> <h3 class="a-spacing-mini"> Structure of the Book </h3> <img alt="A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)." src="https://images-na.ssl-images-amazon.com/images/G/01/x-locale/common/grey-pixel.gif" class="a-spacing-base a-lazy-loaded" data-src="https://m.media-amazon.com/images/S/aplus-media/kdp/51455009-fd03-46d3-8eb6-26a844707502.__CR0,0,970,600_PT0_SX970_V1___.png"><img alt="A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)." src="https://m.media-amazon.com/images/S/aplus-media/kdp/51455009-fd03-46d3-8eb6-26a844707502.__CR0,0,970,600_PT0_SX970_V1___.png"> <h3 class="a-spacing-mini"> The following 42 Algorithms are covered </h3> <img alt="The following 42 Algorithms are covered" src="https://images-na.ssl-images-amazon.com/images/G/01/x-locale/common/grey-pixel.gif" class="a-spacing-base a-lazy-loaded" data-src="https://m.media-amazon.com/images/S/aplus-media/kdp/7cddb4b6-3c52-4e52-b8fd-36a4d6af8fee.__CR0,0,970,600_PT0_SX970_V1___.png"><img alt="The following 42 Algorithms are covered" src="https://m.media-amazon.com/images/S/aplus-media/kdp/7cddb4b6-3c52-4e52-b8fd-36a4d6af8fee.__CR0,0,970,600_PT0_SX970_V1___.png"> ASIN ‏ : ‎ B0BT8LP2YW Publication date ‏ : ‎ January 26, 2023 Language ‏ : ‎ English File size ‏ : ‎ 865 KB Simultaneous device usage ‏ : ‎ Unlimited Text-to-Speech ‏ : ‎ Enabled Screen Reader ‏ : ‎ Supported Enhanced typesetting ‏ : ‎ Enabled X-Ray ‏ : ‎ Not Enabled Word Wise ‏ : ‎ Not Enabled Sticky notes ‏ : ‎ On Kindle Scribe Print length ‏ : ‎ 222 pages

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A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples). (Arificial Intelligence Book 1)
- Whether you're a data scientist, software engineer, or simply interested in learning about machine learning, "A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)" is an excellent resource for gaining a comprehensive understanding of this exciting field.

This book introduces you to the 42 most commonly used machine learning algorithms in an understandable way. Each algorithm is also demonstrated with a simple code example in Python.

About the Author
Murat Durmus is CEO and founder of AISOMA (a Frankfurt am Main (Germany) based company specializing in AI-based technology development and consulting) and Author of the book "Mindful AI - Reflections on Artificial Intelligence" and "INSIDE ALAN TURING"

The following algorithms are covered in this book:

• ADABOOST
• ADAM OPTIMIZATION
• AGGLOMERATIVE CLUSTERING
• ARMA/ARIMA MODEL
• BERT
• CONVOLUTIONAL NEURAL NETWORK
• DBSCAN
• DECISION TREE
• DEEP Q-LEARNING
• EFFICIENTNET
• FACTOR ANALYSIS OF CORRESPONDENCES
• GAN
• GMM
• GPT-3
• GRADIENT BOOSTING MACHINE
• GRADIENT DESCENT
• GRAPH NEURAL NETWORKS
• HIERARCHICAL CLUSTERING
• HIDDEN MARKOV MODEL (HMM)
• INDEPENDENT COMPONENT ANALYSIS
• ISOLATION FOREST
• K-MEANS
• K-NEAREST NEIGHBOUR
• LINEAR REGRESSION
• LOGISTIC REGRESSION
• LSTM
• MEAN SHIFT
• MOBILENET
• MONTE CARLO ALGORITHM
• MULTIMODAL PARALLEL NETWORK
• NAIVE BAYES CLASSIFIERS
• PROXIMAL POLICY OPTIMIZATION
• PRINCIPAL COMPONENT ANALYSIS
• Q-LEARNING
• RANDOM FORESTS
• RECURRENT NEURAL NETWORK
• RESNET
• SPATIAL TEMPORAL GRAPH CONVOLUTIONAL NETWORKS
• STOCHASTIC GRADIENT DESCENT
• SUPPORT VECTOR MACHINE
• WAVENET
• XGBOOST
From the Publisher

A hands-on guide to the 42 most popular Machine Learning Algorithms

Structure of the Book

A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples).

The following 42 Algorithms are covered

ASIN ‏ : ‎ B0BT8LP2YW
Publication date ‏ : ‎ January 26, 2023
Language ‏ : ‎ English
File size ‏ : ‎ 865 KB
Simultaneous device usage ‏ : ‎ Unlimited
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Sticky notes ‏ : ‎ On Kindle Scribe
Print length ‏ : ‎ 222 pages

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Rating Star: 4

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