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Bias and Variance in Machine Learning

Pickl AI

Gender Bias in Natural Language Processing (NLP) NLP models can develop biases based on the data they are trained on. Highly Flexible Neural Networks Deep neural networks with a large number of layers and parameters have the potential to memorize the training data, resulting in high variance. to enhance your skills.

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Five machine learning types to know

IBM Journey to AI blog

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

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A Guide to Unsupervised Machine Learning Models | Types | Applications

Pickl AI

It aims to partition a given dataset into K clusters, where each data point belongs to the cluster with the nearest mean. K-NN (k nearest neighbors): K-Nearest Neighbors (K-NN) is a simple yet powerful algorithm used for both classification and regression tasks in Machine Learning.

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Power recommendations and search using an IMDb knowledge graph – Part 3

AWS Machine Learning Blog

We downloaded the data from AWS Data Exchange and processed it in AWS Glue to generate KG files. In Part 2 , we demonstrated how to use Amazon Neptune ML (in Amazon SageMaker ) to train the KG and create KG embeddings. Matthew Rhodes is a Data Scientist I working in the Amazon ML Solutions Lab. About the Authors.

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Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

Introduction In natural language processing, text categorization tasks are common (NLP). K-Nearest Neighbou r: The k-Nearest Neighbor algorithm has a simple concept behind it. The accuracy of the ML model indicates how many times it was correct overall. Uysal and Gunal, 2014).

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data.

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70+ Best and Unique Python Machine Learning Projects with source code [2023]

Mlearning.ai

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This list will consist of Machine learning projects, Deep Learning Projects, Computer Vision Projects , and all other types of interesting projects with source codes also provided. This is a simple project.