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Automated Machine Learning in
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Inside Deep
Learning
Interpretable
AI
Machine Learning Engineering in
Action
R in Action, Third
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Data Science
Algorithms and Data Structures in
Python
Build Mobile Robots with
ROS2
Building Domain-Specific Language
Models
Causal Inference and
Personalization
End-to-End Batch Data Pipeline with
Spark
NLP Entity Linking for Medical
Transcripts
Python
Minigames
Real-World Deep Learning Recommender
System
Training and Deploying an ML Model as a
Microservice
Development
Algorithms and Data Structures in
Python
API Integration Testing with Spring
Framework
Chassis and Template for Production-Ready
Microservices
CSS Animations and
Transitions
Designing APIs with Swagger and
OpenAPI
Effective Software
Testing
Grokking Streaming
Systems
Hands-on with C++ 20: Ranges, Coroutines, Concepts, and
Modules
Linux Two-Step Authentication with
Rust
Microservice
Testing
Six Small Algorithm Projects with
C#
Development
Software Mistakes and
Tradeoffs
Training and Deploying an ML Model as a
Microservice
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Blazor in
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Learn PowerShell in a Month of Lunches, Fourth
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AWS Security: Audit and Intrusion Detection
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Centralized Logging in the Cloud with Elasticsearch and
Kibana
Chassis and Template for Production-Ready
Microservices
Create a Multi-Cloud Kubernetes
Cluster
Deploy Containers to AWS Fargate with
CDK
Employee Management System with Blazor
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From On-Prem to
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Kubernetes in
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Microservice
Testing
Pipeline as Code with
Jenkins
Single Sign-On and Passwordless
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Core
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Linux Logical Volume
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Serverless Architectures on AWS, Second
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The Jamstack
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Articles based on books in progress
A Deep Learning System from an Engineer’s Perspective
Keeping Up with AWS
Robust Machine Learning with ML Pipelines
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