ODSC - Open Data Science

JULY 26, 2023

Machine learning is a subfield of artificial intelligence (AI) that enables computers to learn and make decisions or predictions without explicit programming. It involves feeding data to algorithms, which then generalize patterns and make inferences about unseen data. Common supervised learning tasks include classification (e.g.,

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Pickl AI

NOVEMBER 4, 2024

Mathematics is critical in Data Analysis and algorithm development, allowing you to derive meaningful insights from data. Linear algebra is vital for understanding Machine Learning algorithms and data manipulation. Calculus Learn to understand derivatives and integrals.

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PyImageSearch

SEPTEMBER 16, 2024

Home Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? Jump Right To The Downloads Section Understanding Anomaly Detection: Concepts, Types, and Algorithms What Is Anomaly Detection?

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Towards AI

FEBRUARY 19, 2025

Unlike traditional software programs, AI agents use machine learning models to adapt their behavior based on data. Decision-Making: Algorithms to process inputs and decide on actions. Learning: Ability to improve performance over time using feedback loops. Unsupervised Learning: Finding hidden structures in unlabeled data.

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Pickl AI

DECEMBER 3, 2024

Key Takeaways The UCI Machine Learning Repository supports Machine Learning research with diverse datasets. Datasets are categorised by learning type and domain for easy access. Users can download datasets in formats like CSV and ARFF. What is the UCI Machine Learning Repository? CSV, ARFF) to begin the download.

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AWS Machine Learning Blog

NOVEMBER 10, 2023

We previously explored a single job optimization, visualized the outcomes for SageMaker built-in algorithm, and learned about the impact of particular hyperparameter values. In this post, we run multiple HPO jobs with a custom training algorithm and different HPO strategies such as Bayesian optimization and random search.

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AWS Machine Learning Blog

AUGUST 16, 2023

Training machine learning (ML) models to interpret this data, however, is bottlenecked by costly and time-consuming human annotation efforts. One way to overcome this challenge is through self-supervised learning (SSL). The following are a few example RGB images and their labels. The dataset has a size of about 109 GB.

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Explosion

AUGUST 3, 2017

That’s why we’re pleased to introduce Prodigy , a downloadable tool for radically efficient machine teaching. Why machine learning systems need annotated examples Most AI systems today rely on supervised learning : you provide labelled input and output pairs, and get a program that can perform analogous computation for new data.

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Pickl AI

JULY 10, 2024

Understanding AI and Machine Learning Artificial Intelligence (AI) is the simulation of human intelligence in machines designed to think and act like humans. AI encompasses various technologies and applications, from simple algorithms to complex neural networks. Topics include Reinforcement Learning, NLP, and Deep Learning.

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Heartbeat

FEBRUARY 15, 2023

It is a supervised learning methodology that predicts if a piece of text belongs to one category or the other. As a machine learning engineer, you start with a labeled data set that has vast amounts of text that have already been categorized. Create a new R Script and call it train.R.

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Heartbeat

JULY 20, 2023

However, the representation and processing of these unstructured, disordered, redundant, and unevenly distributed 3D data remain a significant challenge for segmentation algorithms. kaggle datasets download haziqasajid5122/yolov8-finetuning-dataset-ducks !unzip unzip yolov8-finetuning-dataset-ducks -d /content/Data !cp

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. You can also view the entire model building workflow, including suggested preprocessing steps, algorithms, and hyperparameter ranges in a notebook.

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AWS Machine Learning Blog

OCTOBER 4, 2023

Traditional methods require coding expertise and extensive knowledge of ML algorithms, which can be a barrier for many healthcare professionals. Train an ML model on the preprocessed images, using a supervised learning approach to teach the model to distinguish between different skin types. Download the HAM10000 dataset.

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ODSC - Open Data Science

MARCH 7, 2025

Whether its algorithmic trading , risk assessment, fraud detection , credit scoring, or market analysis, the accuracy and depth of financial data can make or break an AI-driven solution. In the fast-moving world of AI and data science, high-quality financial datasets are essential for building effective models.

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