Deep Learning in Computer Vision
Explore deep learning in computer vision, from basic concepts to advanced architectures. Learn practical tips for designing and developing neural networks to solve complex image understanding problems.
Solving a Complex Game with AI and All the Google Cloud Power
Explore AI-powered game solving using Google Cloud, focusing on reinforcement learning to tackle the complex 8-bit RPG "The Abbey of Crime" and overcome its challenging solution space.
Data and the Environment at Port of Rotterdam
Explore real-time data processing for environmental monitoring at Europe's largest port, combining diverse sources to create actionable insights and support sustainability goals.
Signals from the Deep Web - Making Sense of Ephemeral and Anonymous Content
Explore data scraping as an alternative to biased APIs for social media research. Learn scalable architecture for deep web data capture, topic modeling, and sentiment analysis to detect community manipulation.
Performance Tuning Twitter Services with Graal and Machine Learning
Explore Twitter's performance optimization using Graal and machine learning, focusing on autotuning inlining parameters to reduce datacenter costs and improve efficiency.
Do We Know Our Data, as Good as We Know Our Tools?
Explore data analysis challenges and techniques for cleaning, preparing, and understanding datasets before model training. Learn to detect issues and apply solutions for better accuracy.
Apache Kafka and KSQL in Action - Let’s Build a Streaming Data Pipeline
Explore real-time data streaming with Apache Kafka and KSQL. Build a pipeline, filter events, enrich data, and detect anomalies using SQL-like syntax. Hands-on demo of Kafka Connect and KSQL in action.
Taming IoT Data - Making Sense of Sensors with SQL Streaming
Explore SQL streaming for IoT data using KSQL in Apache Kafka's ecosystem. Learn to ingest, process, store, and visualize smart home energy data in near real-time with a simplified architecture.
Create Your Own Music Recommendation System Using ML
Learn to build a music recommendation system using machine learning, exploring algorithms like K-means, SVM, and neural networks with Spotify's API, Keras, and Sklearn.
Building Smarter Apps with Machine Learning - From Magic to Reality
Explore how to enhance apps with Machine Learning APIs and AutoML techniques, analyzing text, image, audio, and video data without extensive AI knowledge.
Zookeeper in Action
Explore ZooKeeper's potential for managing application clusters, focusing on real-time data processing and automatic scalability in monitoring and alerting systems.
Get to Know the Real World - Discovering Connected Data
Explore graph databases: transform applications with connected data models. Learn creation, querying, and visualization techniques. Discover Cypher language basics and practical tools for interfacing with graph databases.
The Doors of Perceptrons - Practical Machine Learning for Front-End Developers
Explore machine learning in the browser with JavaScript, covering applications, tools, and demos for front-end developers to create their own experiments.
Continuous Deployment of Machine Learning Models
Explore real-time ML model deployment at Auto Trader UK, featuring automated retraining, robust testing, and integration with existing infrastructure for efficient experimentation and reduced time-to-live.
Using Kubernetes for Machine Learning Frameworks
Learn to leverage Kubernetes for training and deploying machine learning models using TensorFlow, Apache MXNet, and PyTorch. Explore isolation, auto-scaling, and GPU support for efficient ML workflows.
Deep Learning con DL4J e Apache Spark
Esplora il Deep Learning distribuito con DeepLearning4J, ND4J e Apache Spark. Scopri potenzialità e sfide nell'implementazione di reti neurali multilayer su diverse modalità di deployment di cluster Spark.
A Machine Learning Mood-O-Meter
Realizzazione di un analizzatore di sentiment per determinare il tono positivo o negativo dei testi, utilizzando commenti Reddit e Spark con Scala per creare un classificatore e misurare l'umore degli utenti.
Live Kubernetes Debugging with the Elastic Stack
Hands-on guide to troubleshooting Kubernetes apps using Elastic Stack, covering health checks, monitoring, tracing, logs, and deployment analysis for efficient problem-solving.
Streaming Visualisation
Explore streaming data visualization techniques, from traditional approaches to dedicated solutions. Learn architecture blueprints and tools for real-time data analysis and presentation.
Productionizing Data Platform Best Practices - Self Service
Explore best practices for implementing self-service capabilities in data platforms, enhancing efficiency and empowering users to access and utilize data effectively.
Reacting to the Future of Application Architecture
Explore nature-inspired reactive architecture for efficient, resilient software solutions. Learn from honeybees to create responsive applications using frameworks and real-world examples.