MLCon | Machine Learning Conference Courses

Continuous Delivery for Machine Learning Applications with Open Source Tools

Explore implementing continuous delivery for ML applications using open-source tools. Learn to automate development processes, integrate mixed teams, and continuously improve chatbots in production environments.

• YouTube
• 51 minutes
• On-Demand
• Conference Talk

Deep Learning - The Final Frontier for Time Series Analysis

Explore deep learning's potential in time series analysis, covering classification, prediction, and anomaly detection. Learn how neural networks can revolutionize processing of sequential data across various domains.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

Case Study - Making the Most out of a Doomed Project

Explore strategies for salvaging doomed ML projects, handling challenges, and extracting value from difficult situations in this insightful case study presentation.

• YouTube
• 27 minutes
• On-Demand
• Conference Talk

Data to the Rescue - Predicting and Preventing Accidents at Sea

Revolutionizing marine safety through data science: predicting accidents using ship behavior, location, speed, and weather data. Challenges of introducing ML to traditional industry and explaining models with SHAP.

• YouTube
• 24 minutes
• On-Demand
• Conference Talk

Human - AI Interaction Loop Training as a New Approach for Interactive Learning

Explore a novel approach combining imitation learning with reinforcement learning methods, leveraging human feedback to enhance AI decision-making in complex environments.

• YouTube
• 39 minutes
• On-Demand
• Conference Talk

Data to the Rescue! Predicting and Preventing Accidents at Sea

Predicting and preventing maritime accidents using machine learning, leveraging ship behavior data, weather information, and operational profiles to revolutionize the marine insurance industry.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

Robots and Ethics in the Digital Age

Explore ethical implications of robotics across various fields, examining philosophical perspectives and practical considerations for responsible development and implementation.

• YouTube
• 49 minutes
• On-Demand
• Conference Talk

Mining Software Development History - Approaches and Challenges

Explore software development history analysis, including embeddings, time warping, and clustering techniques. Learn to extract insights from version control logs and predict future trends.

• YouTube
• 54 minutes
• On-Demand
• Conference Talk

The Data Janitor Returns

Practical insights on data-driven decision-making with limited resources. Covers roles, challenges, and real-world solutions in data management, avoiding hype and focusing on impactful strategies.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

How We Used Reinforcement Learning to Solve the Abbey of Crime

Explore how AI and reinforcement learning were used to conquer the challenging 1987 RPG "Abbey of Crime," overcoming its complexity within 120k of data to complete the game autonomously.

• YouTube
• 52 minutes
• On-Demand
• Conference Talk

Evolution 3.0 - Solve Your Everyday Problems with Genetic Algorithms

Explore genetic algorithms for solving everyday problems like scheduling and meal planning. Learn to code from scratch and understand algorithm stages for practical applications.

• YouTube
• 44 minutes
• On-Demand
• Conference Talk

The More Data, the Better the AI, Isn't It?

Exploring data quality challenges in AI and deep learning, with insights on maintaining high-quality datasets for optimal algorithm performance in document data extraction.

• YouTube
• 39 minutes
• On-Demand
• Conference Talk

Unsupervised Learning with Autoencoders

Explore autoencoder variants, their applications in unsupervised learning, and real-world use cases. Learn about anomaly detection, denoising, and generative models in this comprehensive overview.

• YouTube
• 49 minutes
• On-Demand
• Conference Talk

Predicting New York City Taxi Demand - Spatio-Temporal Time Series Forecasting

Explore spatio-temporal forecasting for NYC taxi demand using advanced models like LSTM and TCN, reducing prediction errors by 40% compared to baseline methods.

• YouTube
• 40 minutes
• On-Demand
• Conference Talk

How to Track Progress and Collaborate in Data Science and Machine Learning Projects

Practical guidelines for organizing, tracking, and collaborating on data science projects, covering code management, metrics tracking, and effective communication between teams.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk