Introductory 5 Steps Horas 13 Créditos
It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
Quest Outline
Cloud ML Engine: Qwik Start
En este lab, entrenará e implementará un modelo de TensorFlow en Cloud ML Engine con el propósito de deriva (predicción). Mire estos breves videos Harness the Power of Machine Learning with Cloud ML Engine y Cloud ML Engine: Qwik Start - Qwiklabs Preview.
API de Google Cloud Speech: Qwik Start
La API de Google Cloud Speech integra el reconocimiento de voz en aplicaciones para desarrolladores. Por lo tanto, ahora puede enviar audio y recibir una transcripción de texto. Mire estos breves videos: Powerful Speech Recognition Using Google Machine Learning y Google Cloud Speech: Qwik Start - Qwiklabs Preview.
API de Cloud Natural Language: Qwik Start
La API de Cloud Natural Language le permite extraer entidades y realizar análisis de opiniones y sintácticos en textos. Mire estos videos breves: Gain Valuable Insights from Text with Cloud Natural Language y Cloud Natural Language: Qwik Start - Qwiklabs Preview.
Análisis de opiniones y entidades con la API de Natural Language
La API de Cloud Natural Language le permite extraer entidades y realizar el análisis de opiniones y sintácticos en un bloque de texto. En este lab práctico, aprenderá a extraer entidades y opiniones de un texto con la API de Cloud Natural Language.
Speech to Text Transcription with the Cloud Speech API
The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.
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