Elasticsearch Suggesters - Beyond Autocomplete
Explore Elasticsearch's powerful suggesters beyond autocomplete, including completion, term, phrase, and context suggesters, to enhance search functionality and user experience.
Fundamentals of Azure IoT
Explore Azure IoT infrastructure, MXChip Kit, and connecting industrial equipment. Learn about SDKs, data ingestion, device management, and practical examples using various platforms.
An AI with an Agenda - How Our Cognitive Biases Leak Into Machine Learning
Explores how human cognitive biases can infiltrate AI and machine learning models, offering strategies to mitigate these issues and create more objective, ethical algorithms.
DevOps for Machine Learning
Explore DevOps principles for effective collaboration between data scientists and software engineers in machine learning projects, focusing on automated pipelines and best practices.
The Shape of Data - Machine Learning and Topology
Explore unsupervised learning and topological data analysis to uncover hidden insights in complex datasets, with applications in health and finance using Python and R.
How to Steal an Election
Explore data science techniques for influencing populations and elections, covering prediction markets, segmentation, voter fraud, and psychological manipulation strategies.
DevOps for Machine Learning
Explore how DevOps principles can streamline collaboration between data scientists and software engineers, creating robust pipelines for machine learning model development and deployment.
Protecting Sensitive Data in Huge Datasets - Cloud Tools You Can Use
Explore tools and techniques for protecting sensitive data in large datasets, including PII detection, k-anonymity, and data transformation methods for responsible public data release.
Is AI Right for Me?
Explore a practical framework for evaluating AI and data analytics solutions for enterprise business problems, avoiding costly missteps and identifying suitable approaches.
ML and the IoT - Living on the Edge
Edge ML in IoT: Explore how machine learning on embedded systems and microcontrollers enables quicker insights, tighter security, and predictive action for IoT devices, bringing ML closer to sensors.
Securing the Web with AI
Explore innovative AI-driven web security methods, including facial recognition for 2FA, user behavior analysis, and machine learning to detect fraudulent content, enhancing protection for all users.
Logging, Metrics and Events in ASP NET Core
Explore effective application monitoring in ASP.NET Core, covering logging, metrics, and events. Learn to implement visibility tools and gain actionable insights for distributed systems.
Privacy and GDPR - What All Developers Should Know
Explore GDPR's impact on IT systems through a practical example. Learn key privacy concepts, legal implications, and best practices for developers to ensure compliance and protect user rights.
Continuous Intelligence - Keeping Your AI Application in Production
Explore adapting Continuous Delivery practices for AI applications, addressing challenges in transitioning from research to production and maintaining systems with evolving data.
Innovation and Trends in Cloud Computing
Explore the latest AWS innovations and their practical applications in infrastructure, platforms, IoT, big data, and machine learning. Learn to leverage cutting-edge cloud technologies for building advanced solutions.
Access All Areas - Making Accessibility More Accessible
Explore strategies for making digital content universally accessible, addressing challenges in converting existing documents and discussing future automation possibilities using AI.
Lightning Talks
Explore data storytelling, non-relational database design, Blockchain-AI correlation, and open-source software trust in four concise lightning talks by industry experts.
We Are the Guardians of Our Future
Exploring the ethical implications of AI and software development, emphasizing the responsibility of engineers to create fair, unbiased systems that protect privacy and human rights.
How to Steal an Election
Explore data science techniques for influencing population thinking and voting patterns, examining potential methods used in election interference and manipulation.
Identify Stocks on Reddit with SpaCy - NER in Python
Learn to extract stock mentions from Reddit using SpaCy's Named Entity Recognition, enabling automated classification and analysis of unstructured text data for financial insights.
Table Question-Answering with TAPAS in Python
Learn to implement table question-answering using TAPAS in Python, covering retrieval pipelines, dataset preprocessing, and advanced aggregation queries with Hugging Face transformers and Pinecone vector database.