Machine Learning Model – Study Machine Learning

Content-Based Recommendation System

Introduction How interesting when Youtube, Amazon, Facebook, Spotify, or Netflix give us different s...

Face verification on Live CCTV IP camera feed using Amazon Rekognition Video and Kinesis Video Streams

Home safety and security is always the highest priority. With the power of Machine Learning and Deep...

AWS Rekognition: Face detection & analysis of an image

Amazon Rekognition is a deep-learning-powered video analysis service that tracks people, detects act...

Stream CCTV IP camera (RTSP) feed into AWS Kinesis Video Streams

In this tutorial, you will get to know about how to ingest real-time live CCTV IP camera feed into A...

Model Quantization Methods In TensorFlow Lite

Edge hardware like a mobile device, embedded devices and IoT devices often have a limited computatio...

Introduction to TensorFlow Lite

TensorFlow Lite is TensorFlow’s lightweight solution to run TensorFlow models on mobile, embed...

TensorFlow : Prepare Custom Neural Network Model with Custom Layers

TensorFlow is a Deep Learning library. Generally, Deep Learning practitioner uses Keras Sequential o...

Regularization Techniques: To avoid Overfitting in Neural Network

Training a deep neural network that works best on train data as well as test data is one of the chal...

Setting Dynamic Learning Rate While Training the Neural Network

Learning Rate is one of the most important hyperparameter to tune for Neural network to achieve bett...

Neural Network: Introduction to Learning Rate

Learning Rate is one of the most important hyperparameter to tune for Neural network to achieve bett...

Mathematics behind the Neural Network

Neural Network is a sophisticated architecture consist of a stack of layers and neurons in each laye...

Implementation of Neural Network from scratch using NumPy

Neural Network is a sophisticated architecture. It consists of the stack of multiple layers and neur...

How Neural Network works?

Neural Network has a more sophisticated Neuron structure similar to our brain. Neural Network is the...

Gradient Descent with Momentum in Neural Network

Gradient Descent with momentum works faster than the standard Gradient Descent algorithm. The basic ...

Gradient Descent in Neural Network

The main goal of deep learning algorithms is to minimize the difference between the predicted target...

Activation Functions in Neural Network

The activation function of a node defines the output of that node given an input or set of inputs in...

Introduction to Neural Network

Neural Network has a more sophisticated neurone structure similar to our brain. Neural Networ...

K-Nearest Neighbors (KNN)

[vc_row][vc_column][vc_column_text]K-Nearest Neighbours(KNN) is a very simple, easy to implement, ve...

Support Vector Machine (SVM)

Support vector machine is one of the famous supervised learning algorithm in Machine Learning. The c...

Logistic Regression

Logistic regression is used when the target variable is categorical. It is a classification algorith...

Linear Regression

Linear Regression is one of the famous algorithm in Machine Learning. Linear Regression model learns...

Random Forest

Random forest is a supervised machine learning algorithm which works by building a series of Decisio...

Decision Tree

Decision Trees are a non-parametric supervised learning method used for classification and regressio...

Introduction to Machine Learning Model

Machine Learning models are mainly used for two tasks such as classification task and regression tas...

Performance Measurement Metrics to Evaluate Machine Learning Model

Evaluating the performance of a Machine Learning model is a crucial part of building an effective mo...

Essential Mathematics for Machine Learning

Machine Learning is the set of powerful mathematical operation. Machine Learning is built on mathema...

Applications of Machine Learning

Machine learning is the kind of programming language which allows computer systems to automatically ...