What is Random Forest?

What is Random Forest?

Random Forest is a machine learning model used for making predictions. It uses a collection of decision trees, each trained on a random subset of data, to enhance prediction accuracy.

Decision trees are a simpler type of model that use a series of decisions to classify data. They are susceptible to problems like bias and overfitting.

Imagine deciding whether to play golf. A decision tree might consider factors like time, weather, and availability of clubs.

Overfitting occurs when a model memorizes the training data instead of generalizing from it. This makes the model less effective at predicting future data.

Bias in a decision tree can arise when the data is not split evenly during training, leading to an incomplete view of the data points.

Random Forest helps reduce overfitting and bias by combining predictions from multiple decision trees. If some trees are irrelevant, they are ignored.

Using multiple decision trees with different criteria improves the Random Forest's performance. Think of it like getting advice from several people who have built different decision trees based on their own experiences.

https://youtu.be/gkXX4h3qYm4?si=WzREvnGjTCpT3Znv

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(131)

Conversational AI apps

Conversational AI apps

It's 2025 and we're all adding AI features to our apps. But the tech moves so fast - what solid ground can you actually build on?This talk will focus on one of the best established patterns: building ...

13 Mar 25min

LLMs and the illusion of humanity

LLMs and the illusion of humanity

Large language models (LLMs) exploded into mainstream awareness in 2022, and have continued to fascinate us since. But what is it about LLMs, compared to other, similarly complex algorithms, that have...

17 Feb 17min

2025 - The year of the AI Agent

2025 - The year of the AI Agent

Generative AI has leapt from clever chatbots to self-directed digital coworkers, but most organisations still treat it as a plug-in for their existing processes. This session maps the journey from rul...

13 Feb 17min

The Evolution and Impact of Generative AI

The Evolution and Impact of Generative AI

Generative AI, exemplified by tools like ChatGPT, marks a significant shift in computing, enabling machines to perform creative and intellectual tasks once exclusive to humans. This talk will explore ...

10 Feb 13min

Generative AI in JavaScript

Generative AI in JavaScript

The whole world is excited about generative AI, but how do we start to build with it? Do we need to learn linear algebra, machine learning, or even python?It turns out that our existing knowledge and ...

6 Feb 16min

Real world learnings delivering enterprise AI solutions

Real world learnings delivering enterprise AI solutions

Every enterprise is under pressure to implement AI - from board mandates to competitive necessity. Yet the path from aspiration to successful implementation is filled with misconceptions, unrealistic ...

2 Feb 18min

The Truth About The AI Bubble

The Truth About The AI Bubble

2025 was the year AI stopped feeling chaotic and started feeling buildable. In this Lightcone episode, the YC partners break down the surprises of the year, from shifting model dominance to why the re...

29 Jan 16min

AI Trends 2026

AI Trends 2026

What will define AI in 2026? 🚀 Martin Keen & Aaron Baughman explore groundbreaking trends like Agentic AI, cloud computing, automation, and quantum computing, plus innovations like Physical AI. Disco...

26 Jan 15min

Populært innen Fakta

fastlegen
dine-penger-pengeradet
relasjonspodden-med-dora-thorhallsdottir-kjersti-idem
rss-bisarr-historie
foreldreradet
treningspodden
rss-strid-de-norske-borgerkrigene
rss-kunsten-a-leve
rss-sunn-okonomi
jakt-og-fiskepodden
sinnsyn
hverdagspsyken
mikkels-paskenotter
rss-sarbar-med-lotte-erik
gravid-uke-for-uke
rss-bak-luftfarten
rss-impressions-2
rss-kull
rss-mind-body-podden
fryktlos