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CNN, Convolutional Neural Networks, is a deep-learning-based algorithm that takes an image as an input...

Training, Testing & Deployment of a Classification Model Using Convolutional Neural Networks and Machine Learning Classifiers

This article will describe the mathematics and statistical knowledge required to understand the Neural Networks. The term ‘Neural Network’ has its...

The Mathematical Formulation of Feed-Forward Neural Network

Zone intrusion detection is a technique to protect private buildings or property from invasion by unwanted people. When an intruder...

Zone Intrusion Detection With OpenCV

Statistics is a subject that really matters a lot in any technology, especially while dealing with data because all the use cases...

Introduction to Statistics for Machine Learning

DVC is a framework for the information form control. It is for the most part like git yet the thing that matters...

Introduction to DAGsHub and DVCs in Machine Learning for Beginners.

One of the best applications of machine learning in the retail industry is "Market Basket Analysis."...

Market Basket Analysis

To write a good research paper in any area is an art. A research paper in any engineering field means proper technical documentation...

How to Write a Good Research Paper in the Machine Learning Area

This article will cover the basics of Naive Bayes algorithm, how it works, and everything you need to know about what goes on under the hood...

An Introduction to Naive Bayes Algorithm for Beginners

Machine learning and proper training go hand-in-hand. You can’t directly use or fit the model on a set of training data and say...

Different Types of Cross-Validations in Machine Learning and Their Explanations

A graph is a descriptive way of representing the relationship between different entities. Meanwhile, an entity - also known as a node - represents the depicted...

Graph Centrality Measures

This article will aim to eliminate the blur between both these closely related terms to help you understand how AI and ML are tied to data science...

Machine Learning or Artificial Intelligence - The right way forward for Data Science.

Machine Learning or Artificial Intelligence - The Right Way Forward for Data Science

MLOps, an acronym for Machine Learning Operations, is one of the hottest buzzwords in the industry today. Sometimes called ModelOps...

Understanding the Workflow of MLOps

Gradient descent is an optimization algorithm that is used to train complex machine learning and deep learning models. The cost function...

Gradient Descent: An Optimization Technique in Machine Learning

The kernel is said to be a dot product in a higher dimensional space where estimation methods are linear methods....

Designing of Kernels in Machine Learning and Deep Learning.

Designing of Different Kernels in Machine Learning and Deep Learning

Transfer learning is one of the handiest tools to use if you’re working on any sort of image classification problem. But what exactly is it? How...

Transfer Learning Using CNN (VGG16)

Mathematical optimization and machine learning (ML) are sophisticated technologies that are used to analyze and draw meaningful inferences from data...

Mathematical Optimization vs Machine Learning.

Mathematical Optimization vs Machine Learning: A Brief Comparison

This article will examine three of the latest technologies that are possible thanks to neural networks...

Explanation on Deep Neural Network, Multi-Layered Perceptron and Deep Q-Network

Detailed Explanation of Deep Neural Network, Multilayer Perceptron, and Deep Q-Network

This article will discuss the various distance metrics, examine the mathematics behind them, and look at their use in ML algorithms to help you choose the perfect one for your ML model...

How to Decide the Perfect Distance Metric For Your Machine Learning Model

This article will examine these questions and the possible ways they can be combined. Note that a basic understanding of machine learning and blockchain...

Combining Blockchain and Machine Learning.

Combining Machine Learning With Blockchain and Its Outcome

If you're thinking about starting your journey into Machine Learning, you've probably heard about Python's adaptability, which can help you understand...

Why Python is Widely Used for Machine Learning?

This article explains how anyone from any background can (and should) become a machine learning master in less than 1 year!...

Step by step process to become ML expert.

Step by Step Process of How to Become a Machine Learning Expert in Less Than 1 year

If you are considering a career in technology, you have likely come across various jobs in AI and machine learning; if you...

Is Machine Learning a Good Career? A Complete Career Guide (2022 Updated)

Many people believe AI, Data Engineering, and Machine Learning are rocket science of computer programming, while others argue - how simple the...

How to Learn Machine Learning - The Self-Starter Way in 2022

This article will detail what the multi-armed bandit problem is, UCB, the math behind it, and its research applications. A prerequisite is a basic understanding...

Know all About Upper Confidence Bound Algorithm in Reinforcement Learning

Artificial intelligence, deep learning, and machine learning are deeply entrenched in our daily lives. These technologies might seem similar to some...

Working of Neural Network in Machine Learning.

How Neural Network Models in Machine Learning Work

Machine learning (ML) algorithms are used to classify tasks. They predict class categorization for a data point. It is the same...

Machine Learning in Python’s Multiclass Classification.

How Machine Learning Can Be Used for Multiclass Classification in Python

Deep learning and neural networks have been the most sought-after and robust paradigms for machine learning in the last

Capsule Networks and how are they related to Neural Networks.

What Are Capsule Networks and How Are They Related to Neural Networks?

The regression-based algorithm is one of the most widely used approaches in the field of data science to predict the target variable...

Guide to Autoregressive Models

Data continues to be an integral part of the world today, from the perspective of daily interactions between humans and machines. There is an undeniable...

Synthetic Data Generation Techniques

If you are curious about Hadoop and want to learn Hadoop on the right track, you have anchored at the ideal place. In this article, you will gain an understanding of Hadoop...

Hadoop Ecosystem and Hadoop Components For Crunching Big Data Problems

Data science has progressed to the point that no organization can afford to disregard it. And the first order of business for any...

How to Set-up Your Data Science Stack on a Budget

Advancements in data science have enabled the application of numerous mathematical concepts to data behavioral patterns. Different...

Effects of Normalization Techniques on Logistic Regression in Data Science

Data generation has grown exponentially in the last few years. You can think of it in terms of the three V’s: data volume, variety...

Data mesh and its distributed data architecture.

Everything You Need to Know About Data Mesh and Its Distributed Data Architecture

Linear regression is a procedure used in statistics. As the term implies, it can only be used when there is a linear relationship among...

A Beginner’s Guide to Complete Mathematical Intuition Behind Linear Regression Algorithm.

We are living in a data-driven world where progress is made by data rather than relying on intuition or personal experience. Organizations...

Why ML Testing Could Be the Future of Data Science Careers?

Redis, which stands for Remote Dictionary Server, is a type of database similar to MySQL, PostgreSQL, and MongoDB. It’s an in-memory...

Hands-on Tutorial on Running Redis on Google Colab

Data is so pervasive in today’s society that it’s impossible to account for all of the ways it influences daily life. Each day, data is gathered on a very large scale...

Big Data Analytics. Working And Benefits.

Big Data Analytics: How It Works and Its Benefits

According to reports by Tiobe Index, Scala ranks 20th in the list of trending programming languages. Built on the Java Virtual Machine (JVM), it is object-oriented...

Tutorial: Data Analysis Using Scala

Data scientists are tasked with the important responsibility of extracting valuable information from large volumes of data using modern tools...

Top 10 data scientist guides for efficient coding

Top 10 Data Scientists’ Guide to Efficient Coding in Python

In simpler terms, Tableau is a data visualization tool that is widely used for business intelligence (BI) and data analysis in the present era. Its versatility...

Complete guide on using Tableau for Data Science.

Complete Guide on Using Tableau For Data Science

Apache Hadoop is an open-source framework that assists computer networks in solving problems that demand massive computational power and...

How to Apply Hadoop in Data Science

Python vs R has become a common topic of discussion among data scientists. Both languages have become extremely...

R vs Python for Data Science: Which One Is the Best Programming Language for Data Scientists in 2022?

Pandas, a powerful and widely used Python package, is used in data analysis and to perform data operations. It is built on top...

A Comprehensive Guide to Data Analysis Using Pandas

When you go to an e-commerce website and click on a button like Place Order, an HTTP request is sent to a backend...

FastAPI vs Flask: A Detailed Comparison

 an API acts as a virtual middleman, transferring data from one interface, such as a mobile app, to another. APIs connect various sections of a software platform to guarantee that information is sent correctly. 

Top 7 Examples of APIs We Use in Our Everyday Lives

This article will discuss the various data normalization techniques used in machine learning and why they’re employed...

Data Normalization with Python scikit-learn.

Data Normalization With Python Scikit-Learn: Tips & Tricks for Data Science

Simply put, without data, machine learning cannot exist. Data is what allows you to build predictive models using trends and insights harnessed from...

How can Data Collection and Data Pre-Processing in Python help in Machine Learning.

How Can Data Collection and Data Preprocessing in Python help in Machine Learning?

A chatbot is a computer program that is designed to simulate a human conversation. Chatbot, a natural language processing (NLP) tool, is typically...

Chat Application via Python: A Complete Guidebook

Python frameworks are collections of pre-written codes that developers use when building web applications. They save time in low-level common protocols...

Python Frameworks for Web development: How to Choose the Best One

Today, Python has become one of the most in-demand programming languages among the more than 700 languages in the market. It has applications...

Why is Python Best Suited for Competitive Coding?

Feature scaling is one of the most crucial steps that you must follow when preprocessing data before creating a machine learning model. With feature...

How and Where to Apply Feature Scaling in Python?

In the wake of the pandemic, Python coding skills have become especially in demand. To thrive in such a scenario, you need to know some tricks that...

22 Hottest Python Tricks for Efficient Coding

This article will provide a detailed, step-by-step guide on installing and running the Jupyter (IPython) Notebook on your personal computer without...

How to use the application Jupyter notebook.

Jupyter (IPython) Notebook: How to Use the Application

The server is a client-server model in the infrastructure of the internet. Whenever a client browser visits a web page, it generates an HTTP request...

How to use Python language for server side language.

How to Use Python Language for Server Side Language

This article will shed light on how to effectively implement algorithmic trading with Python using the FXCM broker platform...

Algorithmic Trading With Python and How to Use the FXCM Broker

In order to become an efficient programmer, it’s essential to know how to write clean codes. This entails writing as few...

How to Write Clean Codes by Using Pipe Operations in Python?

Ctypes modules are foreign function libraries that provide C-compatible data types and allow the calling functions in shared...

ctypes modules & its implementation in Python.

Ctypes Modules and Their Implementation in Python

Before performing data analysis or using machine learning algorithms to run data, you should always make sure that the...

Exploratory Data Analysis in Python and its working.

What is Exploratory Data Analysis in Python and How Does It Work?

Text summarization is a natural language processing (NLP) task that allows users to summarize large amounts of text for

5 Powerful Text Summarization Techniques in Python

One of these types of data is time-series data, which is recorded over time. Examples are stocks and sales data...

A Comprehensive Guide to Time Series Analysis in Python

Skewness is a statistical measure of asymmetric distribution of data while kurtosis helps determine if the distribution is...

Calculating Skewness and Kurtosis in Python.

Calculating Skewness and Kurtosis in Python

Today, most computer science courses teach Python because it’s one of the easiest programming languages to learn. Hugely...

Differences between Python 2.X and Python 3.X.

Difference Between Python 2.X and Python 3.X

This article will look at the areas within the financial domain that are being positively impacted by AI as well as examine the challenges...

Comprehensive Study on the Usage of AI in Finance.

Comprehensive Study on the Usage of AI in Finance

This article will discuss how and why AI in deep learning is a definite game-changer...

9 Reasons Why AI Is a Game-Changer in Deep Learning

Artificial intelligence (AI) is usually defined as the simulation of human intelligence processes by computer systems. It’s become...

Complete Analysis of Artificial Intelligence vs Artificial Consciousness.

Complete Analysis of Artificial Intelligence vs Artificial Consciousness

The transformer is a network architecture proposed in the same paper listed above, which constitutes an encoder...

Introduction to transformers and their power

Brief Introduction to Transformers and Their Power

When a machine learning model is provided with training samples along with corresponding labels, the model will start to recognize patterns...

Regularization techniques in Deep Learning.

Ultimate Guidebook for Regularization Techniques in Deep Learning

This article will cover the basics of deep learning, Keras installation, its models, layers, modules, and applications...

Complete Keras Tutorial: Deep Learning in Python

Machine learning (ML) and deep learning (DL) are two of the most exciting and constantly changing fields of study of the 21st century. Using these...

Generative models vs Discriminative models- Which one to choose for Deep Learning

Generative Models vs Discriminative Models: Which One to Choose for Deep Learning and Why?


Artificial intelligence, machine learning, deep learning - most of us have come across these terms in recent years. How are they related? What, especially...

Deep Learning vs Machine Learning: The Ultimate Battle

Deep learning or neural networks have played a powerful role in revolutionizing industries. This includes contributing to self-driving cars, manufacturing...

Deep Learning for Quantum Chemistry

This article will explore network analysis and geometric deep learning in detail and examine the differences between them...

Network Analysis & Geometric Deep Learning.

Differences Between Network Analysis and Geometric Deep Learning on Graphs

The most vital part of a neural network is its activation functions. Based on them, a neural network decides if a node will...

How to choose an activation function for Deep Learning.

How to Choose an Activation Function For Deep Learning

The words ‘deep learning’, ‘machine learning’, and ‘artificial intelligence’ are sometimes used interchangeably, which can cause some misunderstanding...

In-Depth Guide on Deep Learning Frameworks - Keras, TensorFlow, PyTorch

In the current scenario of data and science, neural networks are emerging with the ability to rapidly perform tasks. This article will take a look at LSTM...

Comprehensive Guide to LSTM & RNNs

By coding in Python, you will be able to detect pneumothorax (lung collapse due to air or gas in the cavity between the lungs and the chest wall) from...

Binary image classification in TensorFlow.

A Step-by-Step Guide for Binary Image Classification in TensorFlow: Detection of Pneumothorax From Chest X-ray

Deep learning is a field of machine learning that deals with learning from the data through neural networks. Neural networks are...

Introduction to Self-Supervised Learning in NLP

Natural Language Processing (NLP) is the interdisciplinary field of Computer Science, Artificial Intelligence, and Linguistics, concerned...

A Guide on Word Embeddings in NLP

NLP is a method of teaching machines to decipher the way humans communicate so that they can respond to us in a similar or natural manner. Although...

Natural Language Processing in action: Generating text with Python.

Natural Language Processing in Action: Understanding, Analyzing, and Generating Text With Python

Every now and then, especially on weekends, when the AWS cloud practitioners, engineers, or enthusiasts clash in career-oriented discussions, they...

Tips To Pass AWS Certified Solution Architect Exam.

Important Tips to Pass AWS Certified Solution Architect Exam in 2022

Looking around, you are bound to find almost everyone trying to get hands-on experience in cloud computing today. It is truly...

Guide on How to Prepare for AWS Certifications Exam This Year

The JavaScript family is ever-evolving and is set to launch new JavaScript features in June 2022. The ES2022 will be the...

New JavaScript Features in ES2022 That You Should Know

JavaScript is a well-known client scripting language that is mainly focused on online web-based programs and browsers...

Best Online Resources to Learn JavaScript for Free.

Remote software jobs 2022: Knowledge base, valuable tips, and more.

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