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#Parameter Tuning

Showing: 11 courses
Opto Video

Introduction to PID Loops

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Learn the fundamentals of PID loop control, including configuration, tuning methods, and practical applications. Gain insights from an experienced engineer to improve your process control skills.
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27 Lesons
55 minutes
On-Demand
Free-Video
AutoML Seminars

Challenges in Hyperparameter Optimization for Reinforcement Learning - Understanding AutoRL Through AutoML

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Explore the complexities of hyperparameter optimization in Reinforcement Learning, examining AutoML tools and methods to better understand and tune RL algorithms for improved performance.
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1 Lesons
32 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Understanding Parameter Spaces Using Local Optima Networks

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Explores using Local Optima Networks to analyze parameter landscapes of Particle Swarm Optimization, revealing complex structures influenced by underlying objective functions.
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11 Lesons
24 minutes
On-Demand
Free-Video
Software Engineering Courses - SE Courses

Stable Diffusion DreamBooth Guide - Optimal Classification Images Count Comparison Test

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Comprehensive guide on optimizing DreamBooth training in Automatic1111, comparing classification image counts for best results in AI image generation and fine-tuning.
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39 Lesons
30 minutes
On-Demand
Free-Video
Great Learning

Introduction to XGBoost - Machine Learning Tutorial

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Comprehensive tutorial on XGBoost: from basic principles to hands-on implementation. Learn gradient boosting, parameter tuning, and model evaluation for real-world machine learning applications.
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10 Lesons
1 hour 7 minutes
On-Demand
Free-Video
GOTO Conferences

Practical Quantum Computing

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Explore real-world quantum computing applications, learn to create programs on live quantum systems, and discover D-Wave's tools for solving complex problems using quantum annealing technology.
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11 Lesons
27 minutes
On-Demand
Free-Video
WeAreDevelopers

Practicing Data Science in the Cloud

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Explore end-to-end Machine Learning pipelines in the cloud, from data processing to model deployment, with practical insights on choosing environments and optimizing workflows.
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17 Lesons
37 minutes
On-Demand
Free-Video
EuroPython Conference

How to Apply Deep Learning for 3D Object Recognition

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Practical guide to achieving 80% accuracy in 3D object recognition using deep learning, covering data preparation, model optimization, and implementation strategies.
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9 Lesons
23 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

From Paper to Product - How We Implemented BERT

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Explore the journey of implementing BERT in a natural language generation product, from initial research to production deployment. Learn about challenges, successes, and valuable lessons for NLP practitioners.
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37 Lesons
49 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

K-Nearest Neighbors (KNN) Algorithm - Introduction and Applications

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Explore k-Nearest Neighbors algorithm: concepts, applications, assumptions, implementation, and optimization techniques for effective machine learning.
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9 Lesons
26 minutes
On-Demand
Free-Video
Serrano.Academy

Support Vector Machines - A Friendly Introduction

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Explore Support Vector Machines through visual explanations, covering key concepts like data separation, perceptron algorithm, classification errors, and the C parameter for optimal model performance.
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14 Lesons
31 minutes
On-Demand
Free-Video