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Explore AI with Minecraft in this under 1-hour presentation by Lars Gregori at MLCon. Learn about reinforcement learning and problem-solving using Microsoft's Malmo project.
Learn to build Machine Learning applications with Python, understand the process 'under the hood', and apply unsupervised and supervised learning for text classification in less than an hour with MLCon.
Explore the intersection of deep learning, natural language processing, and programming with Egor Bulychev in this less than 1-hour MLCon session. Gain insights into leveraging open source code data.
Learn how to build a job recommender SaaS using Deep Learning with MLCon. Understand how to use modern ML stack and deploy solutions in the cloud. Less than 1-hour workload.
Learn to build a data pipeline from scratch with MLCon's under 1-hour material, sharing experiences of using open, found, and collected data to solve customer problems.
Explore machine learning in a web browser with Athan Reines at MLCon. Learn about high-performance libraries, common implementation mistakes, and how to maximize performance.
Explore the commodification of AI with Dr. Pieter Buteneers in this under 1-hour keynote from MLCon 2018, discussing hurdles and potential disruptions.
Explore the transformative potential of IoT data and AI software in industry with Xander Steenbrugge at MLCon. Learn about reinforcement learning and industrial optimization in under an hour.
Explore real-time AI system development and trading strategies using social media feeds with MLCon's session by Dr. Jamie Allsop. Learn about algorithmic architecture and overcoming challenges in AI.
Learn to build Bots using Microsoft's Language Understanding Intelligent Service (LUIS) with Rainer Stropek at MLCon. Understand natural language support in enterprise apps. Duration: 1-2 hours.
Learn to write LSTM models using TensorFlow's Python API for natural language understanding in this code-heavy, under 1-hour session by MLCon.
Explore how to integrate Tensorflow Models into a Java Enterprise Server environment with real-world examples, offered by MLCon. Duration: 1-2 hours.
Learn the basics of matrix algebra and calculus for deep learning with Sigrid Keydana at MLCon. Get started with Keras, PyTorch, and TensorFlow in under an hour.
Learn to develop a Deep Learning-focused Android App with insights from Alexander Frank and Andreas Eberle at MLCon. Topics include data collection, training, and using Google TensorFlow API.
Learn from Prof. Wolfgang Henseler at MLCon about designing user-centric AI systems, understanding AI from a business perspective, and architecting smart ecosystems.
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