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Machine Learning
1
rewiews
Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.
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83
Lesons
22 hours
On-Demand
Free-Video
Santa Fe Institute
David Wolpert on the No Free Lunch Theorems and Why They Undermine the Scientific Method
0
rewiews
Explore the No Free Lunch Theorems and their implications for science, intelligence, and modeling. Gain insights into the relationship between mathematics and physics, and the limitations of universal problem-solving strategies.
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10
Lesons
52 minutes
On-Demand
Free-Video
University of Waikato
Data Mining with Weka
0
rewiews
Learn data mining techniques using Weka software. Explore datasets, build classifiers, visualize data, and understand key concepts like cross-validation, overfitting, and ensemble learning.
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29
Lesons
4 hours 30 minutes
On-Demand
Free-Video
Great Learning
K Fold Cross Validation
0
rewiews
Learn k-fold cross-validation for machine learning, covering theory and hands-on practice in Python. Improve model performance and understand data splitting techniques for effective training and testing.
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9
Lesons
1 hour 3 minutes
On-Demand
Free-Video
CodeWithHarry
End-to-End Python Machine Learning Project - Real Estate Price Prediction
0
rewiews
Comprehensive Hindi tutorial on building a real estate price prediction model using Python. Covers data analysis, preprocessing, model creation, and evaluation for practical machine learning application.
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1
Lesons
3 hours 6 minutes
On-Demand
Free-Video
Rob Mulla
Kaggle Competition Starter Notebook Walkthrough
0
rewiews
Learn to create a starter notebook for a Kaggle competition, covering feature engineering, cross-validation, and LightGBM modeling. Gain practical insights from a Kaggle Grandmaster on predictive modeling and Python coding.
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15
Lesons
26 minutes
On-Demand
Free-Video
Chemometrics & Machine Learning in Copenhagen
Preprocessing Revisited
0
rewiews
Explore new developments in chemometric preprocessing, including multi-block strategies and Variable Sorting for Normalization, to reduce unwanted variability in experimental data.
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14
Lesons
55 minutes
On-Demand
Free-Video
MITCBMM
Unsupervised Discovery of Temporal Sequences in High-Dimensional Datasets
0
rewiews
Explore unsupervised discovery of temporal sequences in high-dimensional datasets using seqNMF, a tool extending convolutional NMF. Learn to extract and validate neural sequences from large-scale recordings.
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11
Lesons
1 hour 14 minutes
On-Demand
Free-Video
Data Science Dojo
Intro to Machine Learning with R & Caret
0
rewiews
Learn to leverage R's caret package for efficient machine learning tasks, including data sampling, model training, cross-validation, and hyperparameter tuning. Enhance your data science skills with practical examples.
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6
Lesons
1 hour 39 minutes
On-Demand
Free-Video
BIMSA
Graphon Cross-Validation: Assessing Models on Network Data
0
rewiews
Explore graphon cross-validation techniques for network data analysis, enhancing model accuracy and generalizability through innovative validation methods and theoretical insights.
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1
Lesons
1 hour 3 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI
Cross-Validation Revisited: Evaluating Machine Learning Models with Non-IID Data
0
rewiews
Explore challenges and techniques for evaluating machine learning models with non-IID data, focusing on spatial autocorrelation, concept drift, and phylogenetic non-independence.
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1
Lesons
48 minutes
On-Demand
Free-Video
Probabilistic AI School
Bayesian Workflow
0
rewiews
Learn Bayesian workflow techniques for probabilistic modeling, from problem formulation to model evaluation and iteration, enhancing your data analysis skills.
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1
Lesons
2 hours 4 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI
Better Priors for Everyone - Choosing Prior Distributions in Bayesian Modeling
0
rewiews
Explore techniques for choosing effective prior distributions in Bayesian modeling, including prior elicitation and automatic selection methods for improved statistical inference.
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1
Lesons
48 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer
Classification Trees in Python from Start to Finish
0
rewiews
Comprehensive guide to building and optimizing classification trees in Python, covering data preparation, model construction, pruning techniques, and visualization.
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12
Lesons
1 hour 6 minutes
On-Demand
Free-Video
UofU Data Science
Machine Learning Mid-Semester Review - Lecture 15
0
rewiews
Dive into a comprehensive mid-semester review of fundamental machine learning concepts, covering key principles and techniques explored throughout the academic term.
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1
Lesons
1 hour 21 minutes
On-Demand
Free-Video
UofU Data Science
Machine Learning Fundamentals - Lecture 10
0
rewiews
Dive into advanced machine learning concepts and techniques through comprehensive coverage of key algorithms, theoretical foundations, and practical applications in data science.
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1
Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science
Machine Learning Fundamentals - Lecture 4
0
rewiews
Dive into advanced machine learning concepts and algorithms through comprehensive coverage of key theoretical foundations and practical implementations in data science.
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1
Lesons
1 hour 22 minutes
On-Demand
Free-Video
UofU Data Science
Machine Learning Fundamentals - Lecture 7
0
rewiews
Dive into advanced machine learning concepts and algorithms through comprehensive coverage of key theoretical foundations and practical implementations in data science.
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1
Lesons
1 hour 22 minutes
On-Demand
Free-Video
UofU Data Science
Machine Learning Fundamentals - Lecture 5
0
rewiews
Dive into advanced machine learning concepts and techniques through comprehensive coverage of key algorithms, theoretical foundations, and practical applications in data science.
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1
Lesons
1 hour 22 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer
XGBoost in Python from Start to Finish
0
rewiews
Comprehensive guide to implementing XGBoost in Python, covering data preparation, model building, and optimization techniques for effective machine learning applications.
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11
Lesons
57 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer
Support Vector Machines in Python from Start to Finish
0
rewiews
Comprehensive guide to implementing Support Vector Machines in Python, covering data preparation, model building, and optimization techniques for machine learning practitioners.
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13
Lesons
45 minutes
On-Demand
Free-Video
1littlecoder
Scikit-Learn Pipeline and Cross-Validation - Day 13 of 30 Days of ML
0
rewiews
Learn advanced machine learning techniques with Scikit-Learn, focusing on pipelines for organized code and cross-validation for improved model performance evaluation. Part of a 30-day ML challenge.
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1
Lesons
34 minutes
On-Demand
Free-Video
Chemometrics & Machine Learning in Copenhagen
PLS Number of Components
0
rewiews
Learn validation techniques for PLS models, including outlier detection, error measures, cross-validation, and practical tips for selecting the optimal number of components.
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8
Lesons
26 minutes
On-Demand
Free-Video
Richard McElreath
Statistical Rethinking 2023 - Fitting Over & Under
0
rewiews
Explore advanced statistical concepts including cross-validation, regularization, and robust regression to enhance model fitting and selection techniques in data analysis.
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8
Lesons
1 hour 5 minutes
On-Demand
Free-Video
Richard McElreath
Statistical Rethinking 2022 - Overfitting
0
rewiews
Explore overfitting in statistical modeling, covering cross-validation, regularization, information criteria, and robust regression techniques for improved predictive accuracy.
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10
Lesons
1 hour 12 minutes
On-Demand
Free-Video
Rob Mulla
Complete Guide to Cross Validation
0
rewiews
Comprehensive guide to cross-validation in machine learning, covering setup, datasets, common pitfalls, train-test splits, and practical applications using scikit-learn in Python.
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8
Lesons
30 minutes
On-Demand
Free-Video
Jeff Heaton
Deep Learning Cross Validation for TensorFlow and Keras
0
rewiews
Learn to implement cross-validation techniques for deep learning models using TensorFlow and Keras, enhancing model evaluation and performance in regression and classification tasks.
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5
Lesons
26 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences
Introduction to Machine Learning - Lecture 2
0
rewiews
Explore key machine learning concepts and their applications in healthcare, bridging the gap between computational modeling and clinical problem-solving.
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1
Lesons
1 hour 18 minutes
On-Demand
Free-Video
Yacine Mahdid
Selecting the Right Cross-Validation Method in Machine Learning
0
rewiews
Learn to choose the right cross-validation method for your machine learning model based on data characteristics, including hold-out, k-fold, time-split, and group-fold techniques.
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7
Lesons
11 minutes
On-Demand
Free-Video
Yacine Mahdid
Sleep Classification with Python Using EEG, Sklearn and MNE - Part 1
0
rewiews
Enhance EEG sleep stage classification using Python, Sklearn, and MNE. Expand dataset, add new class, and implement Leave-One-Subject-Out cross-validation for improved results.
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4
Lesons
12 minutes
On-Demand
Free-Video
IEEE
Learning from Mutants - Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System
0
rewiews
Innovative approach to automatically construct CPS models using supervised machine learning on data from systematically seeded software faults, demonstrating efficacy in detecting various attacks on a water purification plant simulator.
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1
Lesons
21 minutes
On-Demand
Free-Video
WeAreDevelopers
Data-Driven Process Optimisation at Mondi
0
rewiews
Explore data-driven process optimization techniques, from data collection to model deployment and management, using real-world examples from Mondi's manufacturing operations.
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7
Lesons
30 minutes
On-Demand
Free-Video
EuroPython Conference
Machine Learning Under Test
0
rewiews
Explore testing strategies for machine learning algorithms, focusing on code quality, domain-specific challenges, and practical implementation techniques for more robust and reliable ML models.
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21
Lesons
33 minutes
On-Demand
Free-Video
EuroPython Conference
CatBoost - The New Generation of Gradient Boosting
0
rewiews
Explore CatBoost, a powerful gradient boosting library for machine learning. Learn its advantages, applications, and unique features for handling categorical data and achieving state-of-the-art results.
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21
Lesons
42 minutes
On-Demand
Free-Video
Neuro Symbolic
Performance Measurement for Machine Learning
0
rewiews
Master essential metrics and techniques for evaluating machine learning models, from accuracy assessment to advanced performance measurements in AI applications.
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1
Lesons
11 minutes
On-Demand
Free-Video
NPTEL-NOC IITM
Cross Validation in Machine Learning - Bias-Variance Trade-off and Validation Techniques
0
rewiews
Learn cross-validation techniques for model evaluation, including bias-variance trade-off, validation set approach, LOOCV, and k-fold CV, to improve predictive performance.
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10
Lesons
23 minutes
On-Demand
Free-Video
Serrano.Academy
Machine Learning - Testing and Error Metrics
0
rewiews
Explore machine learning model evaluation, including metrics, error types, cross-validation, and optimization techniques for improved performance and decision-making.
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30
Lesons
45 minutes
On-Demand
Free-Video
Molecular Imaging & Therapy
A Guide to Cross-Validation for AI - Avoiding Overfitting and Ensuring Generalizability
0
rewiews
Explore cross-validation techniques for AI, including K-fold and nested methods. Learn to avoid overfitting, ensure generalizability, and select optimal approaches for model evaluation.
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14
Lesons
49 minutes
On-Demand
Free-Video
nanohubtechtalks
Machine Learning for Predicting Additive Manufacturing Part Quality - Tutorial on Support Vector Regression
0
rewiews
Learn to predict additive manufacturing part quality using support vector regression. Explore data analysis, hyperparameter tuning, and cross-validation techniques for machine learning in 3D printing applications.
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18
Lesons
55 minutes
On-Demand
Free-Video
UofU Data Science
Nonlinear Regression and Regularization in Data Mining - Spring 2023
0
rewiews
Master nonlinear regression concepts, from polynomial mappings to regularization techniques, while learning practical implementation in Python and understanding cross-validation for model optimization.
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14
Lesons
1 hour 18 minutes
On-Demand
Free-Video
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