Classification

Generative AI platforms have been the rage since the second half of last year with Microsoft and Google pushing these programs into their existing services. Even the Ministry of Electronics and Information Technology (MeitY), on 3 February, said it is “cognizant" of the emergence and proliferation of generative AI and noted that AI can be a “kinetic enabler" for growth in India. However, researchers at institutes underline a host of challenges for generative AI projects in…

How to classify images with the help of Transformer-based modelPhoto by drmakete lab on UnsplashSince its introduction in 2017, Transformer has been widely recognized as a powerful encoder-decoder model to solve pretty much any language modeling task.BERT, RoBERTa, and XLM-RoBERTa are a few examples of state-of-the-art models in language processing that use a stack of Transformer encoders as the backbone in their architecture. ChatGPT and the GPT family also use the decoder part of Transformer to generate texts. It’s safe…

We introduce an approach called ImPULSE Classifier with an improved performance on balanced and imbalanced PU data compared to other methodsMade by DALL-E-2 according to the author’s descriptionIn data science, datasets with positive and unlabeled data, known as positive-unlabeled (PU) datasets, present a common yet challenging problem. PU datasets are characterised by the presence of unlabeled data, where the positive instances are not explicitly identified as positive. PU datasets are often encountered in business…

Fine-tuning image models to tackle domain shift and class imbalance with PyTorch and torchaudio in audio dataClassifying bird calls in soundscapes with Machine Learning (Image drawn by the author)Welcome to another edition of “The Kaggle Blueprints”, where we will analyze Kaggle competitions’ winning solutions for lessons we can… Fine-tuning image models to tackle domain shift and class imbalance with PyTorch and torchaudio in audio dataClassifying bird calls in soundscapes with Machine Learning (Image drawn by the…

Meet Z 229-15, a celestial object that depending on how you feel, could be one of three different things – all at once. Shared as the European Space Agency’s “Picture of the Week” for the week of March 27, an image of Z 229-15 showcases what makes this bizarre space object so intriguing, and why it has left many astronomers in awe since its initial discovery.  Located roughly 390 million light-years from Earth in the Lyra constellation, Z 229-15 is one of a few celestial objects that can be classified as…

In much the same way mutual empathy defines the development of long-term relationships with our friends, it also plays a key role in defining the success of our business’ relationship with its customers. When customers take the time to type their thoughts and feelings into a review for a product or service, share their feelings through a social media platform, or provide feedback through some similar medium, it behooves us to empathize with them as fellow human beings and determine how they collectively feel about what…

Credit: Pixabay/CC0 Public Domain In response to inaccurate and inconsistent data used to identify minority-serving institutions (MSIs) for funding and analysis, researchers have established a database with recommendations for uniform and accurate MSI classifications. The MSI Data Project, launched in March 2023, offers dashboards…

Build an object detection model, compare it to intensity thresholds, evaluate it and explain it using DeepSHAP(source: author)If the world was less chaotic self-driving cars would be simple. But it’s not. To avoid serious harm, AI has to consider many variables — speed limits, traffic and obstacles in the road (such as a distracted human). AI needs to be able to detect these obstacles and take appropriate actions when encountered.Thankfully, our application is not as complicated. Even more, thankfully, we will be using…

Classification is used for feature categorization, and only allows one output response for every input pattern as opposed to permitting various faults to occur with a specific set of operating parameters. The category that has the greatest output value is chosen by the classification network. When integrated with numerous forms of predictive neural networks in a hybrid system, classification neural networks become incredibly powerful.What is Artificial Neural Network?A substantial majority of heavily integrated processing…

Discover the power of Calibration Curves, Gain and Lift Plots, and more in the latest version of binclass-tools —your ultimate solution for binary classification problems!(image from Unsplash)The binclass-tools package reached major version 1.* a few days ago and celebrates 13K downloads from PyPI! The new version contains many new features, including:Calibration PlotCumulative Gain PlotCumulative Lift PlotResponse PlotCumulative Response PlotLet’s take a closer look at what this is all about.Assessment of binary…