AssemblyAI

DECEMBER 28, 2022

The end of 2022 is quickly approaching, and what a year it has been! In 2022, we: Launched our v9 Core Transcription Model , with significant improvements over v8. Launched new Summarization models , including Summarization models trained for specific use cases. We’re still hiring !).

AI 52

AI AI Deep Learning Deep Learning 52

Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries.   But do you know what AI models mean exactly? What is an AI model? When given enough data, the model may draw certain inferences and make predictions.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries.   But do you know what AI models mean exactly? What is an AI model? When given enough data, the model may draw certain inferences and make predictions.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

PyImageSearch

JULY 3, 2023

In this blog post, we will dive deeper into the Netflix movies and series recommendation systems ( Figure 1 ). We all have been in a place where after a long day of work, we turn on Netflix to watch our favorite shows. And, thanks to Netflix recommendations, we don’t have to worry about what to watch.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

PyImageSearch

JUNE 19, 2023

We will start by learning the basics of these systems and then delve into some of the most popular ones in detail. machine learning, statistics, probability, and algebra) are used to achieve this. Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more.

K-nearest Neighbors 56

K-nearest Neighbors Clustering Algorithm Deep Learning 56

Heartbeat

JUNE 14, 2023

Introduction Deep neural network classifiers have been shown to be mis-calibrated [1], i.e., their prediction probabilities are not reliable confidence estimates. For example, the figure below shows the reliability diagram for a Resnet-110 model trained on the CIFAR-100 dataset [1]. Reliability Diagram of an uncalibrated Resnet-110.

Deep Learning 59

Deep Learning Deep Learning Support Vector Machines Cross Validation 59

IBM Data Science in Practice

DECEMBER 12, 2022

Sentiment analysis plays a key role in analyzing these reviews. This technology, which is based on a deep learning multi-lingual BERT Transformer model, is useful for fast analysis of user reviews. The model was trained on English data, but supports other languages with varied levels of performance.

Deep Learning 130

Deep Learning Deep Learning Data Science Python 130