### Content-Based Recommendation System

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

Read more### 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...

Read more### AWS Rekognition: Face detection & analysis of an image

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

Read more### 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...

Read more### Model Quantization Methods In TensorFlow Lite

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

Read more### Introduction to TensorFlow Lite

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

Read more### TensorFlow : Prepare Custom Neural Network Model with Custom Layers

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

Read more### 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...

Read more### 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...

Read more### Neural Network: Introduction to Learning Rate

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

Read more### Mathematics behind the Neural Network

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

Read more### Implementation of Neural Network from scratch using NumPy

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

Read more### How Neural Network works?

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

Read more### Gradient Descent with Momentum in Neural Network

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

Read more### Gradient Descent in Neural Network

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

Read more### 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...

Read more### Introduction to Neural Network

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

Read more### K-Nearest Neighbors (KNN)

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

Read more### Support Vector Machine (SVM)

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

Read more### Logistic Regression

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

Read more### Linear Regression

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

Read more### Random Forest

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

Read more### Decision Tree

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

Read more### Introduction to Machine Learning Model

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

Read more### 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...

Read more### Essential Mathematics for Machine Learning

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

Read more### Applications of Machine Learning

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

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