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A Smart Agriculture Land Suitability Detection Model Using Machine Learning with Google Earth Engine

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Image Analysis, Classification and Change Detection in Remote Sensing

features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the;

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Image Analysis, Classification and Change Detection in Remote Sensing

features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the;

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Beginning Apache Spark 3

Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and;

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Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines

using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc;

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Building Google Cloud Platform Solutions

more efficient with Google Cloud will also find this Learning Path useful. Basic understanding of GCP and its services is a must.;

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Hands-On Machine Learning with C++

model selection using various C++ libraries Implement practical machine learning and deep learning techniques to build smart models Deploy;

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Beginning Anomaly Detection Using Python-Based Deep Learning

deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications;

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Artificial Intelligence for IoT Cookbook

able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced;

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Hands-On Machine Learning on Google Cloud Platform

services to build your own smart models A comprehensive guide covering aspects from data processing, analyzing to building and training ML models A;

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Programming Google App Engine With Java

the power of the scalable Cloud Datastore, using queries, transactions, and data modeling with JPA Use Cloud SQL for standard relational;

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Smart Agriculture

This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector;

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Empowering Artificial Intelligence Through Machine Learning

learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes;

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Programming Gogle App Engine With Python

the power of the scalable Cloud Datastore, using queries, transactions, and data modeling with the ndb library Use Cloud SQL for standard;

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Apache Spark Machine Learning Blueprints

Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book * Customize;

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Official Google Cloud Certified Professional Data Engineer Study Guide

Professional Data Engineer certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features;

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Political risk in Asian markets

In 2006, the Google Corporation appeared in China with google.cn. The business model of Google, as a search engine corporation, is looked;

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Google Cloud AI Services Quick Start Guide

Leverage the power of various Google Cloud AI Services by building a smart web application using MEAN Stack Key Features Start working with;

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Hands-On Artificial Intelligence for Cybersecurity

Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key Features;

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Machine Learning in Java

to fraud, anomaly, and outlier detection Experiment with deep learning concepts and algorithms Write your own activity recognition model for;

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Learning Tensorflow.js

structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js Use;

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Mastering Machine Learning on AWS

and seamlessly integrate it with SageMaker Build deep learning models on AWS using TensorFlow and deploy them as services Enhance your apps by;

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Machine Learning Engineering with MLflow

Get up and running, and productive in no time with MLflow using the most effective machine learning engineering approach Key Features;

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Online and Adaptive Signature Learning for Intrusion Detection

This thesis presents the case of dynamically and adaptively learning signatures for network intrusion detection using genetic based machine;

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Google Earth Engine Applications

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Large-Scale Machine Learning in the Earth Sciences

environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers;

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Machine Learning with Core ML

learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies;

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