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Text-Book of Advanced Machine Work

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Machine Learning for Finance

concepts and ideas that can be applied in a wide variety of ways. The book shows how machine learning works on structured data, text, images, and;

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Text-Book of the Elements of Machine Work

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Natural Language Processing Recipes

over advanced techniques to convert text to features such as Glove, Elmo, Bert, etc. It also includes an understanding of how transformers work, taking;

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Fundamentals of Machine Vision

is useful as a short course supplement, as a self-study guide, or as a primary or supplementary text in an advanced undergraduate or graduate course.;

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Applications of Emerging Memory Technology

The book intends to bring under one roof research work of leading groups from across the globe working on advanced applications of emerging;

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Introduction to Machine Learning with Python

, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and;

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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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Mastering Machine Learning with scikit-learn -

performance. By the end of this book, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced;

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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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Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017;

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Natural Language Processing Recipes

solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You'll see practical applications of the;

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Beginning Machine Learning in iOS

Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning;

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Python Machine Learning Cookbook

interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Get well versed;

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Image Processing, Analysis & and Machine Vision

undergraduates), rigorous mathematical coverage is included for more advanced readers. This text is especially strong and up-to-date in its treatment;

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Understanding Machine Learning

. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held;

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Probabilistic Machine Learning

optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics;

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Hands-On Python Natural Language Processing

improve text mining models Discover how various neural network architectures work with natural language data Get the hang of building;

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The International Conference on Advanced Machine Learning Technologies and Applications (Amlta2018)

This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and;

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Mastering Machine Learning with Python in Six Steps

noise reduction technique for IoT data. Finally, you'll review advanced text mining techniques, recommender systems, neural networks;

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Mastering Machine Learning with Python in Six Steps

reduction technique for IoT data. Finally, yoüll review advanced text mining techniques, recommender systems, neural networks, deep learning;

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Effective Amazon Machine Learning

teach beginner- to advanced-level machine learning practitioners how to leverage Amazon Machine Learning and complement their existing Data;

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Machine Learning on Geographical Data Using Python

in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and;

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Machine Learning and Data Science

A practitioner’s tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and;

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Advanced Machine Learning Technologies and Applications

This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications;

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