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Stanford University

Opioid Use Disorder Prediction Using AI and Existing Risk Models

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Comparative study on AI models for predicting opioid use disorder, showcasing superior performance of transformer-based AI over existing clinical tools and other machine learning approaches.
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16 Lesons
52 minutes
On-Demand
Free-Video

XGBoost

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Learn to implement XGBoost for regression and classification, explore its mathematical foundations, and master advanced optimizations in Python.
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5 Lesons
2 hours 30 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

From Concept to Production: Template for the Entire ML Journey - Part 1

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Develop a production-ready ML pipeline from concept to deployment using Python. Gain hands-on experience with data prep, model training, and deployment on Google Cloud Platform.
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1 Lesons
3 hours 47 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

From Concept to Production: Building a Production-Ready ML Pipeline - Part 2

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Develop a production-ready ML pipeline from concept to deployment using Python, Kubeflow, and Google Cloud Platform. Master data prep, model training, and orchestration techniques.
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1 Lesons
3 hours 28 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Shopify's Machine Learning Platform Journey: Building Merlin with Open Source Tools

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Explore Shopify's journey in building Merlin, an open-source ML platform. Gain insights into the architecture, technologies, and tools used to scale machine learning work effectively.
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28 Lesons
48 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Low Latency Neural Network Inference for ML Ranking Applications - Yelp Case Study

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Explore Yelp's ML platform overhaul for low-latency neural network inference in ranking applications. Learn about Tensorflow model training, deployment using MLEAP, and integration with Nrtsearch for improved performance.
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1 Lesons
39 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Shopify's Machine Learning Platform Journey: Building Merlin with Open Source Tools

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Explore Shopify's journey in building Merlin, an open-source ML platform. Gain insights into the architecture, technologies, and tools used to scale machine learning work effectively.
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28 Lesons
48 minutes
On-Demand
Free-Video
Great Learning

Boosting

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Explore ensemble learning techniques like boosting to enhance machine learning performance. Learn about bias, variance, and popular algorithms for improved model accuracy and decision-making.
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14 Lesons
1 hour 44 minutes
On-Demand
Free-Video

Amazon SageMaker

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Learn to build, train, and deploy ML models using AWS SageMaker, covering notebook instances, S3 buckets, XGBoost algorithm, and endpoint predictions.
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7 Lesons
1 hour 30 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Databricks MLFlow y Optuna para Ajuste de Hiperparámetros - Español

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Optimiza modelos de machine learning con Databricks, MLflow y Optuna. Aprende técnicas de ajuste de hiperparámetros usando XGBoost en un entorno práctico.
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1 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps MLFlow: Databricks y MLFlow Hyper-Parameter Tuning en Español

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Optimiza modelos de machine learning con Databricks y MLflow, utilizando Hyperopt y XGBoost para ajuste de hiperparámetros.
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1 Lesons
26 minutes
On-Demand
Free-Video
Google TechTalks

Improved Feature Importance Computation for Tree Models Based on the Banzhaf Value

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Explore advanced feature importance computation for tree models using the Banzhaf value, offering faster algorithms and improved numerical robustness compared to Shapley value-based methods.
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1 Lesons
53 minutes
On-Demand
Free-Video
Databricks

Scaling XGBoost for Thousands of Features with Databricks

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Scaling XGBoost for online advertising: Learn to handle thousands of features, optimize model training, and avoid common pitfalls in both Python and Scala implementations on Spark.
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25 Lesons
51 minutes
On-Demand
Free-Video
Julia Silge

Predict Housing Prices in Austin TX with Tidymodels and XGBoost

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Explore feature engineering for boosted tree models using Austin housing data. Learn to incorporate text information as indicator variables and tune models for accurate price predictions.
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18 Lesons
52 minutes
On-Demand
Free-Video
ACM SIGPLAN

FOLD-SE: An Efficient Rule-based Machine Learning Algorithm with Scalable Explainability

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Explore FOLD-SE, an efficient rule-based ML algorithm for classification tasks, offering scalable explainability and competitive performance with state-of-the-art methods.
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1 Lesons
37 minutes
On-Demand
Free-Video
Conf42

Balancing Speed and Accuracy in Model Development

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Explore strategies for optimizing machine learning model development, balancing speed and accuracy. Learn to assess business objectives, improve data quality, and select efficient features and models.
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28 Lesons
25 minutes
On-Demand
Free-Video
AutoML Seminars

MotherNet: A Foundational Hypernetwork for Tabular Classification

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Discover how MotherNet hypernetwork architecture revolutionizes tabular classification by generating optimized neural networks through in-context learning, offering faster training and competitive performance against XGBoost.
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1 Lesons
58 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer

XGBoost in Python from Start to Finish

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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

XGBoost Part 4 - Crazy Cool Optimizations

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Explore advanced XGBoost optimizations for large datasets, including approximate algorithms, parallel learning, and sparsity-aware techniques to enhance machine learning efficiency.
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12 Lesons
24 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer

XGBoost Part 2 - Classification

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Learn how XGBoost trees are built for classification, covering similarity scores, gain, cover, pruning, and logistic regression in this advanced machine learning tutorial.
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13 Lesons
25 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer

XGBoost Part 1 - Regression

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Explore XGBoost's unique regression trees, focusing on similarity scores, gain calculation, pruning, regularization, and making predictions in this comprehensive tutorial.
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12 Lesons
26 minutes
On-Demand
Free-Video
1littlecoder

AutoXGB - Automated ML with XGBoost + Optuna + FastAPI - Kaggle Demo

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Explore AutoXGB, a Python library for automated machine learning using XGBoost, Optuna, and FastAPI. Learn its parameters and application in a Kaggle competition.
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1 Lesons
24 minutes
On-Demand
Free-Video
1littlecoder

XGBoost and Data Leakage in Machine Learning - Day 14 of 30 Days of ML

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Explore XGBoost and data leakage in machine learning. Learn to build optimized models, prevent leakage issues, and enhance your ML skills with practical tutorials and exercises.
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1 Lesons
37 minutes
On-Demand
Free-Video
Julia Silge

Feature Engineering & Interpretability for XGBoost with Board Game Ratings

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Explore advanced modeling with board game ratings data: feature engineering, XGBoost tuning, and explainability methods for data-driven insights and predictive analysis.
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25 Lesons
48 minutes
On-Demand
Free-Video
Julia Silge

Tune XGBoost With Early Stopping to Predict Shelter Animal Status

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Learn to optimize xgboost models using early stopping techniques for predicting animal shelter outcomes, featuring practical examples and efficient coding strategies.
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7 Lesons
31 minutes
On-Demand
Free-Video
Julia Silge

Tuning XGBoost Using Tidymodels

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Optimize XGBoost models for beach volleyball match prediction using tidymodels, exploring data, tuning hyperparameters, and interpreting results.
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19 Lesons
51 minutes
On-Demand
Free-Video
Rob Mulla

Time Series Forecasting with XGBoost - Advanced Methods

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Explore advanced time series forecasting with XGBoost, covering outlier removal, cross-validation, lag features, and future predictions. Enhance your skills in handling complex time-dependent data for improved forecasting accuracy.
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8 Lesons
22 minutes
On-Demand
Free-Video
Rob Mulla

Time Series Forecasting with XGBoost - Use Python and Machine Learning to Predict Energy Consumption

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Learn to predict energy consumption using XGBoost and Python in this hands-on tutorial. Covers data preparation, feature engineering, model building, and forecasting techniques for time series analysis.
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6 Lesons
23 minutes
On-Demand
Free-Video
Nvidia

Boosted Trees and Deep Neural Networks for Better Recommender Systems

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Explore GPU-accelerated boosted trees and deep neural networks for building winning recommender systems, featuring insights from Kaggle Grandmasters on the ACM RecSys Challenge.
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6 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Eran Feit

Object Classification Using VGG16 and XGBoost for Vehicle Classification with TensorFlow

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Learn to classify vehicles using VGG16 and XGBoost in TensorFlow. Covers data preparation, feature extraction, model training, and testing. Gain practical skills in object classification and deep learning.
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5 Lesons
32 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
Rob Mulla

Machine Learning for NCAA Tournament Bracket Predictions

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Learn to build a machine learning model for predicting NCAA tournament outcomes, from data setup to final bracket creation, enhancing your predictive modeling skills and tournament strategy.
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10 Lesons
26 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Databricks MLFlow and Optuna Hyper-parameter Tuning

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Optimize XGBoost models using Databricks, MLflow, and Optuna for efficient hyperparameter tuning and improved machine learning workflows.
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1 Lesons
37 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Databricks and MLFlow Hyper-parameter Tuning for XGBoost Models

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Optimize machine learning models using Databricks and MLflow for hyperparameter tuning with XGBoost and HyperOpt.
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1 Lesons
56 minutes
On-Demand
Free-Video
PyCon US

XGBoost para clasificación - construyendo modelos precisos y eficientes

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Aprende a utilizar XGBoost para crear modelos de clasificación precisos y eficientes, explorando conceptos básicos, técnicas de construcción y evaluación, y ventajas clave de esta poderosa herramienta.
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1 Lesons
35 minutes
On-Demand
Free-Video
EuroPython Conference

Explaining Behavior of Machine Learning Models with ELI5 Library

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Explore techniques for interpreting and debugging ML models using eli5 library. Learn to explain linear models, decision trees, ensembles, and classifiers, improving trust and quality in ML solutions.
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1 Lesons
30 minutes
On-Demand
Free-Video
DigitalSreeni

What Is XGBoost and Is It Really Better Than Random Forest and Deep Learning?

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Explore XGBoost's advantages over Random Forest and Deep Learning, comparing performance and understanding its unique features for machine learning tasks.
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7 Lesons
21 minutes
On-Demand
Free-Video
Shaw Talebi

10 Decision Trees are Better Than 1 - Random Forest and AdaBoost

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Explore tree ensembles: Random Forest and AdaBoost. Learn bagging, boosting techniques, and their benefits. Apply knowledge to breast cancer prediction using example code.
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7 Lesons
17 minutes
On-Demand
Free-Video
Data Science Conference

MRI Brain Scan Classification Using FastSurfer, XGBoost and 3D CNNs

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Master medical image classification techniques using FastSurfer pipeline, XGBoost, and 3D CNNs for MRI brain scan analysis. Learn preprocessing steps and implement neural networks in PyTorch for advanced medical data analysis.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

From Concept to Production - Template for the Entire Machine Learning Journey

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Develop a production-ready ML pipeline from concept to deployment, covering data prep, model training, and orchestration using Kubeflow on Google Cloud Platform's Vertex AI.
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1 Lesons
3 hours 3 minutes
On-Demand
Free-Video