Building Machine Learning and Deep Learning Models on Google Cloud Platform

Angebote / Angebote:

Take a systematic approach from the ground up to machine learning and deep learning. This is your one-stop-shop to understand the fundamentals and how they are applied in practice.You will learn how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. And you will learn how deep learning extends the machine learning algorithm called neural networks to learn complex tasks which are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computig to accelerate data science and mchienlearning deployments.This book is a beginner's comprehensive guide for building learning models to address complex use cases using machine learning and deep learning principles and techniques while leveraging the computational resources and artificial intelligence (AI) capabilities of the Google Cloud Platform at a reasonable cost. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into six parts that cover the foundations of machine learning and deep learning, the concept of data science and cloud services, programming for data science and machine learning and deep learning using the Python stack, Google Cloud Platform infrastructure and products, and an end-to-end machine/deep learning project on the Google Cloud Platform. What You'll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers