All current Model Evaluation Courses courses in 2024
49 Courses
Model Evaluation with Amazon SageMaker
Model Evaluation with Amazon SageMaker
Machine learning models play a critical role in AI solutions, requiring them to be highly performant and capable of generalizing new data. Evaluating these models is essential to ensure their effectiveness. This comprehensive course offers in-depth knowledge on assessing machine learning models utilizing Amazo.
Advanced Principles & Topics in AI & Machine Learning in Healthcare
Delve into the core of advanced AI and ML principles tailored for the healthcare sector. This course offers a comprehensive study on sophisticated machine learning methodologies and the operational aspects of AI systems, while discussing its transformative role in healthcare's future.
Join the conversation in pivotal debates, partake in intera.
机器学习与模式识别
《机器学习与模式识别》是为人工智能、工业智能以及自动化专业设计的专业课程，研究如何利用机器学习方法完成模式识别任务中涉及的基本概念、原理和实现方法。
课程内容涵盖模式识别与机器学习的基本任务、核心概念与方法，包括贝叶斯决策论与概率模型估计、线性分类与回归、支持向量机、决策树、集成学习、模型评估、特征学习与选择，以及人工神经网络与深度学习。另外，本.
Classification - Fundamentals & Practical Applications
Classification problems are a frequent challenge in data science. This course empowers you to understand and apply key algorithms to predict and enhance business decision-making. Suited for those aspiring to be data scientists or with a focus on analytics and business intelligence, this course provides a deep dive into classification problems,.
Desarrollo de soluciones de machine learning (Español LATAM) | Developing Machine Learning Solutions (LATAM Spanish)
En este curso, aprenderá acerca del ciclo de vida del machine learning y de cómo utilizar los servicios de AWS en cada etapa. Conocerá las diversas fuentes de modelos de machine learning y aprenderá técnicas para evaluar su rendimiento. También comprenderá la importancia de las operaciones de machine learning (MLOps) para optimizar el desarrollo.
Decision Trees, Random Forests, AdaBoost & XGBoost in Python
Join our comprehensive course on Udemy to master Decision Trees and Ensembling techniques using Python. Delve into the world of machine learning and data analysis as you learn to implement Bagging, Random Forest, Gradient Boosting Machine (GBM), AdaBoost, and XGBoost efficiently. Perfect for data enthusiasts aiming to enhance their skills in.
H2O Gen AI Ecosystem Overview - Level 1
Immerse yourself in the H2O GenAI ecosystem with the Ecosystem Overview - Level 1 course. This comprehensive course introduces you to the powerful tools and techniques of the H2O GenAI ecosystem, guided by Andreea Turcu, Head of Global Training at H2O.ai, along with guest lectures from expert H2O.ai Makers.
Explore the following key areas:.
Deep Learning with Keras
Join the Deep Learning with Keras course on Udemy to enhance your understanding of deep learning concepts using the powerful Keras library. Dive into models, layers, and modules, and get hands-on experience in building a neural network along with an image classification model. Perfect for aspiring data scientists looking to specialize in neur.
Developing Machine Learning Solutions (Thai)
นักเรียนที่เข้าร่วมในหลักสูตรแมชชีนเลิร์นนิงนี้จะได้เรียนรู้เกี่ยวกับการดำเนินงานในวงจรชีวิตของแมชชีนเลิร์นนิง พร้อมค้นพบวิธีการใช้บริการ AWS ในแต่ละขั้นตอนอย่างรอบคอบ หลักสูตรนี้ยังแสดงให้เห็นถึงความสำคัญของ MLOps ในการปรับปรุงการพัฒนาและใช้งานเครื่องมืออย่างมีประสิทธิภาพ
ระดับหลักสูตร: พื้นฐาน
ระยะเวลา: 1 ชั่วโมง
กิจกรรม
หลักสูตรนี.
