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#Binary Classification

Showing: 29 courses
University of Central Florida

Introduction to Neural Networks - Lecture 5

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Introduction to neural networks, covering object classification, image representation, and machine learning fundamentals. Explores biological inspiration, computational implementation, and practical applications in image recognition.
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19 Lesons
1 hour 13 minutes
On-Demand
Free-Video
IBM

Text Classification: AI Techniques and Real-World Applications

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Discover AI-powered text classification techniques for spam detection, sentiment analysis, and topic categorization, exploring real-world business applications and best practices.
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1 Lesons
14 minutes
On-Demand
Free-Video
Microsoft

Train and Evaluate Classification Models

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Train and evaluate classification models using Scikit-Learn. Learn binary classification, logistic functions, thresholds, and performance metrics for effective machine learning categorization.
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11 Lesons
1 hour 29 minutes
On-Demand
Free-Video
Institute for Advanced Study

Learning Probability Distributions - What Can, What Can't Be Done - Shai Ben-David

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Explore probability distribution learning, its possibilities and limitations. Shai Ben-David discusses density estimation, sample compression schemes, and challenges in statistical learning theory.
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19 Lesons
57 minutes
On-Demand
Free-Video
Simons Institute

Mitigating Backdoors in Machine Learning Models - Security and Defense Strategies

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Explore techniques for defending against undetectable backdoors in machine learning systems through black-box mitigation strategies, focusing on binary classification and regression models.
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1 Lesons
54 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty - UAI 2023 Oral Session 2

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Explore the effectiveness of credal set volume as a measure of epistemic uncertainty in binary and multi-class classification, highlighting implications for machine learning.
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1 Lesons
25 minutes
On-Demand
Free-Video
Kolmogorov-Seminar

PAC Learning of Decision Trees

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Explore the theoretical foundations of PAC learning algorithms and their application to decision tree construction in this advanced computational complexity seminar.
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1 Lesons
2 hours
On-Demand
Free-Video
UofU Data Science

Logistic Regression - Machine Learning Lecture 24

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Master logistic regression classification through maximum likelihood and maximum a posteriori criteria, building practical skills for effective machine learning model development.
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1 Lesons
43 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Foundations - Logistic Regression

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Master logistic regression fundamentals through hands-on practice, exploring core concepts, implementation techniques, and practical applications in machine learning and data analysis.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Fundamentals and Perceptron Algorithm

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Dive into fundamental machine learning concepts, from feature vectors to binary classification, culminating in a detailed exploration of the Perceptron algorithm.
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5 Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science

Introduction to the Perceptron Algorithm - Lecture 9

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Dive into the fundamentals of Perceptron algorithm, exploring its intuitive principles, variations, and practical applications in neural network development.
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1 Lesons
58 minutes
On-Demand
Free-Video
Krish Naik

Performance Metrics for Classification Problem in Machine Learning - Part 1

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Learn key performance metrics for binary classification in machine learning, including recall and precision, to effectively evaluate model performance and make informed decisions.
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5 Lesons
24 minutes
On-Demand
Free-Video
Churchill CompSci Talks

PAC Learning

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Explore PAC learning framework in machine learning, covering supervised classification, learnability criteria, and VC dimension. Understand theoretical foundations and practical implications.
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13 Lesons
31 minutes
On-Demand
Free-Video
Derek Banas

TensorFlow Binary and Multi-class Classification Tutorial

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Learn TensorFlow for binary and multi-class classification, covering data handling, model building, optimization, and evaluation techniques for effective machine learning implementations.
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19 Lesons
2 hours 8 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Implementing a Neural Network for Music Genre Classification

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Implement a music genre classifier using TensorFlow and MFCC features. Learn key deep learning concepts like binary/multiclass classification, ReLUs, batching, and overfitting while building the neural network.
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7 Lesons
33 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Fair and Interpretable Decision Rules for Binary Classification

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Explore fair and interpretable decision rules for binary classification using Boolean rule sets in DNF, with a focus on maximizing accuracy while maintaining group fairness constraints.
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14 Lesons
31 minutes
On-Demand
Free-Video
Paul Hand

Supervised Machine Learning Review

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Comprehensive review of supervised machine learning concepts, focusing on statistical frameworks, loss functions, and the intriguing double-descent phenomenon in neural networks.
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11 Lesons
47 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Sample Complexity of Estimation in Logistic Regression - Lecture

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Explore sample complexity in logistic regression, examining parameter estimation across temperature regimes. Gain insights into non-asymptotic analysis and critical points in the complexity curve.
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1 Lesons
56 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

The Cost of Fairness in Binary Classification

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Explore the cost of fairness in binary classification, analyzing risk, optimal classifiers, and fairness frontiers with implications for stereotypes and decision-making.
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12 Lesons
22 minutes
On-Demand
Free-Video
Security Onion

Practical Cyborgism - Machine Learning for Bro Logs

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Explore machine learning techniques for analyzing Bro logs, focusing on supervised and unsupervised methods to enhance cybersecurity threat detection and analysis.
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21 Lesons
33 minutes
On-Demand
Free-Video
PASS Data Community Summit

Failure Prediction for Manufacturing Industry with SQL Server & R

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Explore predictive modeling for manufacturing failure using SQL Server and R. Learn regression, binary classification, and random forest techniques to forecast product failures and estimate lifespans.
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1 Lesons
1 hour 15 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Logistic Regression - Continued

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Explore advanced concepts and applications of logistic regression for enhanced predictive modeling and data analysis skills.
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1 Lesons
19 minutes
On-Demand
Free-Video
Data Science Festival

Propensity Measurement Using Positive-Unlabelled Bagging

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Explore semi-supervised binary classification with Positive-Unlabelled learning for propensity measurement using PU bagging techniques.
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1 Lesons
26 minutes
On-Demand
Free-Video
UofU Data Science

Introduction to the Perceptron Algorithm - Lecture 8

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Dive into the fundamental concepts of the Perceptron algorithm, exploring its core mechanisms and applications in neural network foundations.
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1 Lesons
18 minutes
On-Demand
Free-Video
Squid: Schools for Quantum Information Development

Composite Classical and Quantum Channel Discrimination

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Explore binary composite channel discrimination in quantum information theory, focusing on asymmetric settings, parallel vs adaptive strategies, and their applications in classical channels.
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12 Lesons
25 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Introduction to Logistic Regression

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Learn about binary classification, logistic regression, and related concepts like probit and logit links in this concise introduction to fundamental statistical modeling techniques.
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8 Lesons
14 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Logistic Regression: Introduction to Binary Classification and Linear Classifiers

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Master logistic regression for binary classification, covering linear classifiers, sigmoid functions, parameter estimation, and log-likelihood functions.
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6 Lesons
29 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Weak Signals: Machine Learning Meets Extreme Value Theory

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Explore machine learning's intersection with extreme value theory, focusing on angular measure recovery and its applications in classification and anomaly detection.
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1 Lesons
55 minutes
On-Demand
Free-Video
UofU Data Science

Predictive Distribution and Model Comparison in Linear Models - Lecture 12

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Dive into predictive distribution modeling, exploring linear models, binary classification, and logistic regression while mastering maximum molecular estimation techniques.
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9 Lesons
1 hour 19 minutes
On-Demand
Free-Video