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Generative AI
Understanding Medical Research: Your Facebook Friend is Wrong
Algorithms, Part I
Moralities of Everyday Life
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Learn to deploy and develop applications on Google Cloud Platform, exploring App Engine, Cloud SQL, Data Loss Prevention, and more through hands-on experience with various programming languages.
Hands-on practice with Cloud SQL, covering basics to advanced features. Learn to create instances, query data, build scripts, and integrate with applications on GKE containers.
Hands-on practice with Google Cloud APIs using APIs Explorer. Learn to interact programmatically with various GCP services, from Cloud Storage to Compute Engine and beyond.
Analyze NCAA basketball data using BigQuery and SQL, then build a machine learning model to predict March Madness game outcomes.
Hands-on practice for Google Cloud Associate Cloud Engineer certification, covering IAM, networking, Kubernetes, and more. Enhance skills through curated labs and practical exercises.
Master data warehousing with BigQuery: optimize ETL, analyze terabytes of data, and learn best practices for creating, querying, and troubleshooting large-scale datasets on Google Cloud.
Learn to query and analyze large datasets efficiently using Google's BigQuery, focusing on SQL skills, data exploration, and visualization with Looker Studio.
Learn to analyze marketing data using BigQuery, create dashboards, and gain valuable insights. Master SQL querying, data ingestion, and BI tools for large-scale data analysis and visualization.
Explore machine learning with BigQuery ML: create, train, and evaluate models using SQL. Learn various model types and their applications in this hands-on series.
Explore machine learning for language processing using Google Cloud Platform's APIs. Practice entity extraction, sentiment analysis, and speech-to-text transcription in hands-on labs.
Explore image processing with Google Cloud Platform's ML tools. Learn to label images, detect faces and landmarks, and extract text using powerful APIs and AutoML.
Learn to build, train, and deploy custom TensorFlow models on Google Cloud, from image classification to distributed computing, enhancing your ML skills beyond predefined models.
Hands-on practice with advanced machine learning infrastructure on Google Cloud Platform, focusing on scalability, deployment, and innovative tools for various ML tasks.
Explore Google Cloud's logging capabilities for real-time analysis, monitoring, and alerting on log data from VMs and applications. Gain hands-on experience with practical labs.
Explore Google Cloud's Healthcare API for seamless integration of medical data formats, enabling advanced analytics and machine learning capabilities in healthcare applications.
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