Fine-Tuning BERT for Sentiment Analysis

Introduction Using a pre-trained Language Model like BERT (Bidirectional Encoder Representations from Transformers), we can leverage contextual embeddings to enhance the ability to understand and analyze natural language text. This…

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Building Recommendation System with Deep Reinforcement Learning and Neo4j

Introduction In this tutorial We will be building a movie recommendantion enine leveraging a blend of graph-based machine learning and deep reinforcement learning (DRL). This post details an approach using…

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Bayesian Neural Networks for Predicting Novel Unseen Classes

Introduction Bayesian Neural Networks (BNNs) provide a unique approach to neural network modeling by incorporating uncertainty into predictions. This tutorial explores the application of BNNs in predicting novel unseen classes…

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Explain Python Machine Learning Models with SHAP Library

Using SHapley Additive exPlainations (SHAP) Library to Explain Python ML Models Almost always after developing an ML model, we find ourselves in a position where we need to explain this…

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LSTM Autoencoder for Anomaly Detection in Python with Keras

Using LSTM Autoencoder to Detect Anomalies and Classify Rare Events So many times, actually most of real-life data, we have unbalanced data. Data were the events in which we are…

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Autoencoder with Manifold Learning for Clustering in Python

Clustering the Manifold of the Embeddings Learned by Autoencoders Whenever we have unlabeled data, we usually think about doing clustering. Clustering helps find the similarities and relationships within the data.…

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Sentiment Prediction using CNN and LSTM in Keras

Using Convolutional and Long Short-Term Memory Neural Networks to Classify IMDB Movie Reviews as Positive or Negative We will explore combining the CNN and LSTM along with Word Embeddings to…

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Calling C Posix Threads from Python Through Cython

Call C Parallel Function from Python C language is fast. Let alone parallelism in C. It is a great speed boost especially for heavy operations. Here we will see how…

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Interprocess Communication and Parallelism in C

Building a Weather Application Using IPC and Parallelism Building a weather application using interprocess communication (IPC) like named pipes and shared memory. In addition to parallelism through posix threads to…

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Task Scheduler in C using Struct Pie

Using Struct Pie C Shared Libraries to Develop a Priority Queue Scheduler Suppose you have a list of scripts or tasks that you want your computer to do in a…

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