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Intro to ML: Language Processing

date_range 4 ore show_chart Introductory universal_currency_alt 13 crediti

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.

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  • Lab

    AI Platform: Qwik Start

    In questo lab imparerai ad addestrare un modello TensorFlow e ad eseguirne il deployment su AI Platform per l'elaborazione di previsioni. Guarda questi brevi video: Harness the Power of Machine Learning with AI Platform e AI Platform: Qwik Start - Qwiklabs Preview.

  • Lab

    API Google Cloud Speech: Qwik Start

    L'API Google Cloud Speech integra il riconoscimento vocale nelle app per sviluppatori; ora puoi inviare audio e ricevere una trascrizione del testo. Guarda questi brevi video: Powerful Speech Recognition Using Google Machine Learning e Google Cloud Speech: Qwik Start - Qwiklabs Preview

  • Lab

    API Cloud Natural Language: Qwik Start

    L'API Cloud Natural Language consente di estrarre entità e analizzare sentiment e sintassi di testi. Guarda questi brevi video Gain Valuable Insights from Text with Cloud Natural Language e Cloud Natural Language: Qwik Start - Qwiklabs Preview.

  • Lab

    Entity and Sentiment Analysis with the Natural Language API

    The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.

  • Lab

    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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