How to Learn Machine Learning

MAY 14, 2025

Today, we’re diving into something super practical that will help you gather data for your ML projects – how to download video from YouTube easily and efficiently! Y2Mate is the fastest YouTube downloader tool available, working like a well-optimized algorithm to convert and download videos in record time!

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

MAY 13, 2024

We benchmark the results with a metric used for evaluating summarization tasks in the field of natural language processing (NLP) called Recall-Oriented Understudy for Gisting Evaluation (ROUGE). Evaluating LLMs is an undervalued part of the machine learning (ML) pipeline. It is time-consuming but, at the same time, critical.

AI 138

AI AI AWS ML 138

Flipboard

JULY 10, 2023

During training, the input data is intentionally corrupted by adding noise, while the target remains the original, uncorrupted data. The autoencoder learns to reconstruct the clean data from the noisy input, making it useful for image denoising and data preprocessing tasks. Step into the future with Roboflow.

Deep Learning 132

Deep Learning Deep Learning Machine Learning Machine Learning 132

Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). We will explore how to better understand the data that these models are trained on, and how to evaluate and optimize them for real-world use. This process ensures that the dataset is of high quality and suitable for machine learning.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

Mlearning.ai

JUNE 28, 2023

I came up with an idea of a Natural Language Processing (NLP) AI program that can generate exam questions and choices about Named Entity Recognition (who, what, where, when, why). I let only the word with the pos of NOUN, VERB, ADJ, and ADV to pass through the filter and continue to the next process.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing AI 52

DagsHub

OCTOBER 23, 2024

Now that you know why it is important to manage unstructured data correctly and what problems it can cause, let's examine a typical project workflow for managing unstructured data. Large Language Models We engineer LLMs like Gemini and GPT-4 to process and understand unstructured text data.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

AWS Machine Learning Blog

DECEMBER 19, 2024

The following code snippet demonstrates the librarys usage by extracting and preprocessing the HTML data from the Fine-tune Meta Llama 3.1 join(full_text) Deduplication After the preprocessing step, it is important to process the data further to remove duplicates (deduplication) and filter out low-quality content.

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AWS Machine Learning Machine Learning Data Preparation 105