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#Model Tuning

Showing: 24 courses
Prodramp

Machine Learning with DataRobot AI Cloud Platform

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Comprehensive tutorial on DataRobot AI Cloud Platform, covering machine learning model building, evaluation, and deployment. Explores key features like AutoML, bias detection, and model optimization.
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32 Lesons
1 hour 5 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
Julia Silge

Partial Dependence Plots for Mario Kart World Records

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Explore decision tree modeling and partial dependence profiles for Mario Kart world records using tidymodels and DALEX, with a focus on predicting shortcut usage.
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11 Lesons
27 minutes
On-Demand
Free-Video
Krish Naik

EvalML AutoML Library to Automate Feature Engineering, Feature Selection, Model Creation and Tuning

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Explore EvalML, an AutoML library automating feature engineering, selection, model creation, and tuning. Learn to streamline your data science workflow and improve project efficiency.
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6 Lesons
23 minutes
On-Demand
Free-Video
Data Science Dojo

Building Our First Model - Introduction to Text Analytics with R Part 4

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Learn to build and evaluate a text classification model using R, covering tokenization, cross-validation, parallel processing, and decision tree training for optimal accuracy in text analytics.
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1 Lesons
29 minutes
On-Demand
Free-Video
Google

Tuning Gemma for a Spoken Language AI Assistant - Build with Google AI

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Explore creating a multilingual AI assistant using Gemma. Learn to tune models for specific tasks and languages, with insights from developers and practical extension tips.
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5 Lesons
12 minutes
On-Demand
Free-Video
Prodramp

A Visual Introduction to Modern and Scalable Machine Learning Pipeline

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Visual guide to modern, scalable machine learning pipelines: from data prep to deployment. Covers key stages like training, validation, inference, feature stores, and model registry. Ideal for understanding ML infrastructure evolution.
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12 Lesons
20 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 and Evaluate a Multiclass Lasso Model for NBER Working Papers

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Explore multiclass lasso modeling for economic research papers, covering data analysis, feature engineering, model tuning, and evaluation using #TidyTuesday data.
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13 Lesons
40 minutes
On-Demand
Free-Video
Julia Silge

Tune and Evaluate a Decision Tree Model with Scooby Doo Episodes

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Learn to predict Scooby Doo monster status using decision trees. Explore model tuning, visualization, and simplification techniques with Julia Silge's practical demonstration.
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11 Lesons
35 minutes
On-Demand
Free-Video
Prodramp

An Improved and Functional Design of End-to-End Machine Learning Life Cycle

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Comprehensive overview of the machine learning lifecycle, covering data preparation, model training, deployment, and inference, with practical insights for effective implementation and monitoring.
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11 Lesons
27 minutes
On-Demand
Free-Video
Databricks

Introducing MLflow for End-to-End Machine Learning on Databricks

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Explore end-to-end machine learning with MLflow on Databricks: from data engineering to model deployment, using health data to predict life expectancy through Spark, hyperopt, and interactive dashboards.
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11 Lesons
40 minutes
On-Demand
Free-Video
Oracle

Automated Machine Learning and Explainability

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Explore Oracle AutoML's innovative approach to simplifying machine learning, integrating explainability techniques for enhanced user understanding and trust in complex ML pipelines and models.
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10 Lesons
24 minutes
On-Demand
Free-Video
WeAreDevelopers

Data Science for Business - Repeatable and Objective Data Science Process

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Explore the Team Data Science Process (TDSP) for efficient predictive analytics and AI integration in business processes, focusing on agile methodology and practical implementation strategies.
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19 Lesons
21 minutes
On-Demand
Free-Video
EuroPython Conference

An Introduction to Apache TVM

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Explore Apache TVM's Python API for deep learning model compilation. Learn installation, features, and practical applications for CPUs and microcontrollers through hands-on demos and examples.
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1 Lesons
45 minutes
On-Demand
Free-Video
Scala Days Conferences

Impact on Business and Society

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Exploring AI democratization at Salesforce, focusing on reducing human effort in service centers through automated model building, feature engineering, and actionable results using scalable technologies.
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1 Lesons
49 minutes
On-Demand
Free-Video
Snorkel AI

Scaling Language Model Tuning with Snorkel AI - A Case Study

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Explore Snorkel AI's innovative approach to scaling language model tuning using programmatic labeling and guiding models for efficient data curation and improved performance.
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13 Lesons
22 minutes
On-Demand
Free-Video
Google Cloud Tech

Introduction to Generative AI Studio - Prototyping and Customizing Models on Vertex AI

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Prototype and customize generative AI models using Vertex AI's Generative AI Studio. Learn about language, vision, speech, prompt design, and model tuning.
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8 Lesons
16 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

MLOps vs ModelOps - What's the Difference and Why You Should Care

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Explore the differences between MLOps and ModelOps, focusing on continuous monitoring, automated remediation, and feedback loops for AI and analytical models.
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1 Lesons
32 minutes
On-Demand
Free-Video
Google Cloud Tech

Deep Dive on How Google Cloud Built Duet AI

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Explore Google Cloud's process for building Duet AI, including model selection, tuning, middleware, guardrails, and evaluation techniques for generative AI products.
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16 Lesons
46 minutes
On-Demand
Free-Video
Google Cloud Tech

Tuning Foundation Models: A Comprehensive Guide

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Explore techniques for customizing foundation models with your data, improving performance across tasks while understanding limitations and future prospects.
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1 Lesons
42 minutes
On-Demand
Free-Video
Google Cloud Tech

Operationalizing Generative AI on Vertex AI

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Explore MLOps fundamentals, adaptations for generative AI, and Vertex AI capabilities to support new workflows in the era of foundation models.
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1 Lesons
47 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

The Unreasonable Effectiveness of Mathematics in Large Scale Deep Learning - From Theory to Practice

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Explore the mathematical foundations of large-scale deep learning, focusing on infinite-width neural networks and their practical applications in tuning enormous models like GPT-3.
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13 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Google Cloud Tech

Comparing AI Data Integration Methods: Long Context Windows, RAG, and Model Tuning

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Explore the key differences between long context windows, RAG, and model tuning for AI applications, understanding when and how to implement each approach effectively.
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5 Lesons
12 minutes
On-Demand
Free-Video