As data scientists, we come across numerous classification problems every once in a while. Ensemble learning techniques like bagging and boosting typically give us quite high classification performances. But all such models are much complex and hard to interpret. To make sure that everything is working fine and also to understand the prediction results/logic better, it becomes necessary… Read More »
OpenCV-AI-toolkit was first introduced nearly 20 years ago(in 1999) by Intel Research and it is getting richer and better every year since then. OpenCV was primarily written in C++ language but has bindings for Python, Java, and MATLAB that makes it easy to integrate into different ML/AI projects. You will find almost every Computer Vision(Computer Graphics based) project… Read More »
Deep Learning is part of the Machine Learning family that deals with creating the Artificial Neural Network (ANN) based models. ANNs are used for both supervised as well as unsupervised learning tasks. Deep Learning is extensively used in tasks like-object detection, language translations, speech recognition, face detection, and recognition..etc. Let’s create our First Neural Network with PyTorch- In… Read More »
Overview PyTorch is a deep learning framework developed by Facebook’s AI Research lab(FAIR) about four years ago (in 2016). This PyTorch framework was designed to make our machine learning and deep learning project journey super fast and smooth. Pytorch is written in Python, C++, and CUDA and is supported across Linux, macOS, and Windows platforms. It also has… Read More »
An intuitive introduction to Reinforcement Learning Reinforcement Learning(RL) is a very interesting sub-field of Machine Learning(ML). While other ML techniques rely on static input-output pairs to learn the hidden rules and then apply those rules on the unseen data to get the possible outcomes. A Reinforcement Learning algorithm tends to learn the best decisions automatically over time. RL… Read More »
An introduction to audio data analysis (sound analysis) and Speech Recognition using python Overview A huge amount of audio data is being generated every day in almost every organization. Audio data yields substantial strategic insights when it is easily accessible to the data scientists for fuelling AI engines and analytics. Organizations that have already realized the power and… Read More »
An intuitive overview of a sound wave for getting started with audio analysis 1. Introduction Humans are born with incredible abilities. Hearing sound is one of the most awesome abilities we have. The sound makes our life easy, It makes us aware of our surroundings, possible dangers. Blind individuals use their ears to see the world. The sound… Read More »
when, why and how of ‘ Beam Search ‘ and LM decoding Whenever Image Processing, Audio data Analysis or Natural language processing (NLP) tasks are concerned, Deep learning has proved to be an ideal choice and has shown outstanding outcomes. Neural Network-based model architectures are really good at understanding complex patterns as well as generating meaningful and realistic… Read More »
A simple approach to predict future frames in video (PUBG) data using Python Introduction : It is impossible to predict the future! ( Unless you have a time stone -:) ). But predicting the immediate future is not very hard for us (Humans). We do it in the real-life quite often — while playing a game or watching a movie one can… Read More »