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Welding and Cutting Case Studies with Supervised Machine Learning

engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses;

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Welding and Cutting Case Studies with Supervised Machine Learning

engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses;

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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted;

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for;

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Applied Machine Learning for Smart Data Analysis

unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections;

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Mastering Machine Learning Algorithms

of regression analysis, time series analysis, deep learning models, and cutting-edge applications Book DescriptionMastering Machine Learning Algorithms;

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Machine Learning Foundations

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning;

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Machine Learning and Big Data

learning with various examples. An empirical study of supervised learning algorithms like Naive Bayes, KNN and semi-supervised learning algorithms;

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Machine Learning with scikit-learn Quick Start Guide

learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine;

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Applied Machine Learning

any online entitlements included with the product. Cutting-edge machine learning principles, practices, and applications This comprehensive;

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Supervised Machine Learning with Python

a deep understanding along the way. You'll embark on this journey with a quick overview and see how supervised machine learning differs from;

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Applied Supervised Learning with Python

learning concepts with real-world examples Implement a supervised machine learning pipeline from data ingestion to validation Gain insights into;

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TensorFlow 2.0 Quick Start Guide

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features Train;

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Industrial Applications of Machine Learning

revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial;

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Applied Machine Learning with Python

such as XGBoost (2016), Shap (2017) and CatBoost (2018), which are considered novel and cutting edge models for dealing with supervised;

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Hands-On Machine Learning with IBM Watson

Watson starts with supervised and unsupervised machine learning concepts, in addition to providing you with an overview of IBM Cloud and Watson;

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Advanced Welding Techniques

This book provides an insight into the welding techniques with a cross-disciplinary treatment to address the shortcomings of contemporary;

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Advanced Welding Techniques

This book provides an insight into the welding techniques with a cross-disciplinary treatment to address the shortcomings of contemporary;

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Applied Supervised Learning with R

Learn the ropes of supervised machine learning with R by studying popular real-world use-cases, and understand how it drives object;

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Machine Learning Applications Using Python

case studies with Python code and domain-specific innovative ideas for monetizing machine learning. What You Will Learn Discover applied;

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Machine Learning Fundamentals

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for;

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Machine Learning Fundamentals

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for;

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Machine Learning with PySpark

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business;

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The The Supervised Learning Workshop

Cut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms Key Features;

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Mastering Java Machine Learning

tools in a wide range of techniques, with code and practical usage. * More than 10 real-world case studies in machine learning highlighting;

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021

learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning;

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Key Technologies of Intelligentized Welding Manufacturing

feature extraction and monitoring, and presents the state-of-the-art in computer vision, image processing and machine learning to detect welding;

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