AWS Machine Learning Blog

JULY 13, 2023

Train a binary classification model using the SageMaker built-in XGBoost algorithm. We used the direct marketing dataset to predict bank customers who are likely to respond with a specific offer. Problem type Image classification Binary classification Model DNN XGBoost Instance ml.c4.xlarge

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Algorithm Deep Learning Neural Network ML 65

AWS Machine Learning Blog

AUGUST 1, 2023

In this post, we explore different options for implementing summarization techniques on SageMaker, including using Amazon SageMaker JumpStart foundation models, fine-tuning pre-trained models from Hugging Face, and building custom summarization models. Popular uses include generating marketing copy, powering chatbots, and text summarization.

ML 71

ML Large Language Models NLP Natural Language Processing 71

Pickl AI

APRIL 26, 2024

Logistic regression is a statistical method used for binary classification problems. It predicts the probability of a binary outcome based on one or more predictor variables. Some popular data analytics courses offer comprehensive training, flexible learning options, and valuable certifications.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

AWS Machine Learning Blog

APRIL 21, 2023

The target attribute is binary, meaning the model predicts the output as one of two categories ( True or False ). For this use case, we perform binary classification using XGBoost. The package model step packages the model for use with the SageMaker batch transform deployment option.

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Data Drift Metadata Data Quality ML 71

ML Review

FEBRUARY 26, 2018

As the market matures, chatbots are becoming more and more specialized according to their specialized intended purposes, such as customer service, entertainment, personal assistance, or education. It was apparent that both models, with their specific drawbacks and strengths, serve very distinct sets of scenarios.

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Robotics Deep Learning Chatbots Natural Language Processing 52

AWS Machine Learning Blog

JULY 31, 2023

AUC (area under the curve) The AUC metric evaluates the ability of a binary classification model to distinguish between positive and negative classes at all classification thresholds. To calculate the AUC, the true positive rate (TPR) and false positive rate (FPR) are plotted across various threshold settings.

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Auto-classification Machine Learning ML Auto-complete 77

Dlabs.ai

JUNE 18, 2021

According to a Global Market Insights report, AI in education will surpass USD 6 billion by 2024. It also identifies uses of hard-to-read sentences and the passive voice, while students can customize options and choose a writing style to fit their needs. Artificial intelligence has played a crucial role across the e-learning industry.

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Artificial Intelligence Artificial Intelligence Computer Vision Chatbots 52

AWS Machine Learning Blog

AUGUST 14, 2023

positive Multilingual question answering (English to Chinese) Explain to me in Traditional Chinese what is the backpropagation 梯度反向传播算法是一种机器学习算法，用于训练人工神经网络。该算法使用梯度下降来最小化损失函数。 Code generation Write a binary search tree with O(log(n)) computational complexity. Why that? ### [human]: I caught flu [robot]: [robot]: Oh no, I am sorry to hear that!

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NLP Robotics Prompt Engineer Prompt Engineering 69

AWS Machine Learning Blog

JANUARY 11, 2023

HashiCorp provides Terraform with a binary installer, which you can download and install. Optionally, this can be extrapolated to multiple models for multiple enhancements if such exist. Now that the AWS CLI is installed, we need to install Terraform. His alma mater is UCL.

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ML Python Automation Machine Learning 64

Explosion

OCTOBER 2, 2016

Obviously, this risk is unappealing, but the existing solution in the market, one-size-fits-all cloud services, are even worse. We’re launching Explosion AI to give you a better option. Two months later, we ship you some binaries for onsite testing. You give us some trial data to work with, along with a deposit.

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Machine Learning AI AI NLP 40

Snorkel AI

JULY 3, 2023

As we can see, “survive” is our target variable and is a binary variable with only values of zero and one. Within the column transformer, we use an optional parameter selector to exclude or include any categorical columns from being processed within the pipeline. Jason Goldfarb : Yeah, that’s a great question.

Categorization 52

Categorization Data Scientist Machine Learning Python 52

Snorkel AI

JULY 3, 2023

As we can see, “survive” is our target variable and is a binary variable with only values of zero and one. Within the column transformer, we use an optional parameter selector to exclude or include any categorical columns from being processed within the pipeline. Jason Goldfarb : Yeah, that’s a great question.

Categorization 52

Categorization Data Scientist Machine Learning Python 52

The MLOps Blog

JANUARY 25, 2023

The results of sentiment analysis are commonly a score or a binary value that represents the text’s mood (e.g., Sentiment analysis is one of the most important concepts in marketing and product space. is one of the best options. positive, negative, neutral).

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BERT Natural Language Processing ML Deep Learning 52

Ines Montani

MAY 9, 2017

As we’re moving into a phase with more options for contributions, we want to encourage them where they make the biggest difference: language data, interoperation, tests and documentation. For the record, my background is front-end development, marketing and linguistics.) But how do you “open-source” large binary data?

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NLP Natural Language Processing Computational Linguistics Deep Learning 52

Mlearning.ai

JUNE 6, 2023

So without any further due, let’s do it… Main Page On the main page, we have total 5 options: Patient Login Doctor Login Admin Login Patient Registration Doctor Registration Patient Registration Page This is the Patient Registration Page where a Patient can register himself/herself by entering his/her details.

Machine Learning 52

Machine Learning Python Computer Vision Convolutional Neural Networks 52

Explosion

AUGUST 1, 2019

Based on the (fairly vague) marketing copy, AWS might be doing something similar in SageMaker. The packages contain configuration settings, the binary weights for the transformer models, and mapping tables used for the wordpiece tokenization. The full hidden-state activations and attention matrices should be available shortly.

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BERT NLP Neural Network Categorization 52