Mostrando 181 - 185 Resultados de 185 Para Buscar '"Spoken word"', tiempo de consulta: 0.05s Limitar resultados
  1. 181
    Publicado 2017
    “…Context is what contributes to interpret a communicative act beyond the spoken words. It provides information essential to clarify the intentions of a speaker, and thus to identify the actual meaning of an utterance. …”
    Libro electrónico
  2. 182
    Publicado 2013
    “…Spoken words come alive in written verse.In Sounding Imperial, James Mulholland offers a new assessment of the origins, evolution, and importance of poetic voice in the eighteenth and early nineteenth centuries. …”
    Libro electrónico
  3. 183
    Publicado 2020
    “…Methodologically distinctive, much of the research uses new techniques to analyze video, text, and spoken words of political leaders. No other book examines such a wide range of topics -- from immigration to climate change to race relations -- using video as the basis for research…”
    Libro electrónico
  4. 184
    Publicado 2016
    “…What You Will Learn Explore classification algorithms and apply them to the income bracket estimation problem Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Explore data visualization techniques to interact with your data in diverse ways Find out how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Analyze stock market data using Conditional Random Fields Work with image data and build systems for image recognition and biometric face recognition Grasp how to use deep neural networks to build an optical character recognition system In Detail Machine learning is becoming increasingly pervasive in the modern data-driven world. …”
    Libro electrónico
  5. 185
    Publicado 2019
    “…What you will learn Use predictive modeling and apply it to real-world problems Explore data visualization techniques to interact with your data Learn how to build a recommendation engine Understand how to 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 with reinforcement learning, automated ML, and transfer learning Work with image data and build systems for image recognition and biometric face recognition Use deep neural networks to build an optical character recognition system Who this book is for This book is for data scientists, machine learning developers, deep learning enthusiasts and Python programmers who want to solve real-world challenges using machine-learning techniques and algorithms. …”
    Libro electrónico