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Dr. ZHAO Talks
Japan
เข้าร่วมเมื่อ 16 ธ.ค. 2021
3.6. Iris Species Identification (1)
This video covers a practical case study in machine learning: identifying iris flower species. It introduces the steps for building a classification model, including data acquisition, data preprocessing, model training, and evaluation. Using the well-known Iris dataset, which includes 150 samples across three iris species with four features each, viewers learn how to prepare and process data, then train and test a classification model using the sklearn library. The video also touches on evaluation metrics for classification tasks, emphasizing the importance of quality data and efficient tools like sklearn for building accurate machine learning models.
มุมมอง: 17
วีดีโอ
3.5. Methods Of Machine Learning (2)
มุมมอง 1721 ชั่วโมงที่ผ่านมา
This video provides a deeper look into key machine learning methods: supervised, unsupervised, semi-supervised, and reinforcement learning. It begins with a detailed exploration of the Decision Tree algorithm, showing how to simplify the model through pruning, using weather conditions as an example for predicting tennis play. Next, the video covers Linear Regression for regression tasks, explai...
3.4. Methods Of Machine Learning (1)
มุมมอง 1821 ชั่วโมงที่ผ่านมา
This video explains the four main types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning. It focuses on supervised learning, where labeled data helps the model learn by comparing predictions to known answers to reach high accuracy. Examples include classification and regression algorithms, like K-Nearest Neighbors (KNN) and Decision Trees. Through visua...
3.3. Classification Of Learning Models
มุมมอง 1821 ชั่วโมงที่ผ่านมา
This video introduces the main types of machine learning models, focusing on classification, regression, and clustering. It starts with an overview of how machine learning models are trained and tested, then dives into each model type. Classification models are discussed first, showing how binary and multi-class classification problems work, using examples like spam filtering and emotion recogn...
3.2. Definition Of Machine Learning (2)
มุมมอง 2221 ชั่วโมงที่ผ่านมา
Description: In this lesson, we dive into essential machine learning concepts, including data features, feature values, labels, and the learning process of machine learning models. We start by examining a housing price dataset to understand what data features are and how they impact model quality. Then, we explore the two main stages in machine learning-training and prediction-explaining the im...
3.1. Definition Of Machine Learning (1)
มุมมอง 41วันที่ผ่านมา
This video introduces the foundational concept of machine learning, beginning with a simple example of selecting a ripe watermelon to illustrate how experience informs human judgment. We explore how machine learning enables artificial intelligence to learn from data, acquire knowledge, and make effective predictions-just like humans do. Through examples like Siri, AlphaGo, and ChatGPT, we discu...
Understanding Learning Status Through Eye Movement Behavior: A Causal Analysis Perspective
มุมมอง 175 หลายเดือนก่อน
Welcome to my academic lecture on "Eye Movement Behavior and Understanding of Learning Status from the Perspective of Causality." In this presentation, I delve into how eye movement data can be leveraged to analyze and understand learning status through the lens of causal analysis. Content Overview: Challenges in Grasping Learning Status in Online Education: An exploration of the difficulties f...
Social Welfare Presentation on English Reading for Middle School Students
มุมมอง 135 หลายเดือนก่อน
Welcome to our educational video on enhancing English reading skills for middle school students! In this presentation, we introduce a modified SQ3R reading strategy designed specifically for e-book reading. This method aims to improve learning effectiveness by providing clear guidelines on reading time and techniques. Contents: Introduction to the Modified SQ3R Strategy: Explanation of the stra...
Extracting Causal Relationships from Educational Big Data: A Lecture at Fujian University
มุมมอง 105 หลายเดือนก่อน
A discussion on the significance of causal relationships in the study of learning behaviors, emphasizing their central role in personalized education and human-centric AI development. It introduces the human-centric AI concept and how understanding causal relationships can optimize learning experiences and outcomes. 4. Applications of Causal Relationships in Different Domains An overview of spe...
Causal Inference in Education Big Data: Theory and Applications
มุมมอง 136 หลายเดือนก่อน
Delve into the complexities of causal inference within the realm of Education Big Data in this comprehensive doctoral dissertation defense video. Explore multidimensional perspectives on causal inference, addressing key challenges and proposing solutions for mining educational insights. Through theoretical analysis and case studies, witness the practical applications and efficacy validation of ...
Unveiling the Future of Educational Data Analysis: Deep Learning with GANs
มุมมอง 68 หลายเดือนก่อน
Welcome to our journey into the cutting-edge realm of educational data analysis! In this video, we delve into a groundbreaking method poised to revolutionize how we understand learning behaviors: Deep Learning with Generative Adversarial Networks, or GANs. Join us as we explore the transformative potential of this innovative approach, unraveling the complexities of educational big data to uncov...
Unlocking Learning Potential: The DRL Strategy to Overcome Shallow Reading
มุมมอง 168 หลายเดือนก่อน
Welcome to our enlightening TH-cam video, where we unveil a powerful learning strategy designed to combat shallow reading habits head-on. Dive into the world of deep reading as we introduce you to the groundbreaking DRL (Dpi and Read Loud) strategy. In this video, we'll dissect the detrimental effects of shallow reading and unveil how the DRL strategy can revolutionize your approach to learning...
Unveiling the Future: Predicting Student Grades through E-Book Log Data Analysis
มุมมอง 289 หลายเดือนก่อน
"📚 Welcome to our latest video where we dive deep into the realm of educational technology! In this insightful presentation, we unravel the potential of e-book log data analysis in predicting student grades. Join us on a journey through the intricate web of learning analytics as we showcase a groundbreaking approach to leveraging e-book data for academic success forecasting. 🚀 Key Highlights: E...
Unveiling Causal Insights: Navigating Beyond Correlation in Educational Big Data Mining
มุมมอง 499 หลายเดือนก่อน
Welcome, everyone! In this inaugural episode of our series, 'Causal Analysis in Educational Big Data Mining,' we delve into a critical issue plaguing the realm of data-driven education - the prevalent reliance on correlation analysis over causal analysis. As our journey begins, we present a comprehensive framework designed to shift the focus towards confirming causal results. Join us in unravel...
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