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Deep Learning in Practice: A Hands-On Introduction
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Join this one-day workshop for a deep dive into neural networks and advanced techniques including LSTM, convolutional classification, data clustering, bandit algorithms, and reinforcement learning. Hands-on learning with PyTorch, TensorFlow, Keras, and Python. Learn to identify suitable problems for deep learning. Instructors Prerna and Bardia share real-world case studies. Gain practical experience in data preparation, library installation, and creating predictive systems for various data types. Optional advanced datasets available for experienced attendees.
There are only limited seats available, so secure your spot now.
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Generative AI: From Basic Concepts to Real-World Applications
Generative AI is revolutionizing machine learning, capable of producing text, images, music, and more. This workshop offers an overview of generative AI techniques, including image, text, and 3D object generation, along with practical guidance on using prompts to shape outputs. Real-world applications and ethical considerations will be explored, with hands-on exercises to reinforce learning. Participants will leave with a comprehensive understanding of generative AI's potential across diverse fields.
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Machine Learning with R: A Hands-On Introduction
This workshop offers a hands-on approach to mastering machine learning with R. Starting from basics, it covers various modeling styles using standardized packages. By the end, attendees will confidently apply popular ML models for accurate predictions, including handling pre-processing, variable selection, and model evaluation.
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ONLINE: Machine Learning Leadership and Practice: End-to-End Mastery
This workshop is suitable for beginners in ML, data scientists exploring business applications, or those delving into advanced topics. Led by industry expert Eric Siegel, this curriculum covers technical and business aspects, emphasizing practical skills over heavy math. Learn to lead ML projects effectively, identify opportunities, forecast project effectiveness, and navigate ethical considerations. Gain insights through case studies and software demos, with vendor-neutral content applicable across platforms. Upon completion, master the rare skills essential for ML deployment.
This is an on-demand workshop.
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Machine Learning with Python: A Hands-On Introduction
During this full-day training workshop, instructor Clinton Brownley – a data scientist at WhatsApp and formerly Facebook, where he gained extensive experience leading internal machine learning trainings – will take you on your first steps with Python, guiding you through challenging hands-on exercises to employ various machine learning capabilities within Python and apply them on real world datasets.
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The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques
Join Dr. John Elder in a one-day workshop exploring predictive modeling (machine learning) methods. Learn how to choose the right method for your business, best practices, and ensuring effectiveness on new data. Discover popular algorithms and ensemble methods, along with feature engineering and essential resampling techniques. Gain insights from real-world applications. Perfect for predictive analytics practitioners seeking to enhance their skills.
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Automating Building of Predictive Models: Predictive AI + Generative AI
With the emergence of Generative AI as a leading-edge and game-changing technology, it’s natural for data scientists to ask the question, “Can generative AI help me?”. In this workshop, the question will be answered including both “pro” and the “con” sides of using Generative AI for predictive modeling – often now labelled as Predictive AI. Examples with well-known datasets will be used to illustrate the concepts, and all prompts and code used in the workshop will be made available to attendees.
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Secure your ticket before Friday, April 19 to save up to $400
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Free book: Event registrants will receive a copy of MLW Founder Eric Siegel's new book, The AI Playbook, which presents a six-step practice called bizML that ushers ML projects from conception to deployment.
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