• Neural Networks - Deep Learning - Machine Learning - AI, ML & Data Science

    Introduction to Neural Networks and Deep Learning with Real-World Use Cases: Deep Learning & Neural Network Basics

    January 9, 2019 - By 

    🧠 What Are Neural Networks? At the heart of deep learning lies the neural network—a mathematical model inspired by the human brain’s structure. These networks are made up of layers of artificial neurons that pass information from one layer to the next. Each neuron receives input, performs a weighted computation, and passes it to the next layer through an activation function. Neural networks are particularly well-suited to learning non-linear relationships from data. They allow machines to detect intricate patterns in images, audio, or text—without explicitly being programmed for the task. A basic neural network includes an input layer, one or…

  • AI, ML & Data Science - Machine Learning - Deep Learning

    AI – Machine Learning & Deep Learning

    January 9, 2019 - By 

    Getting Started with Machine Learning (ML) Machine learning projects typically follow a series of steps: data collection, data preprocessing, model selection, training, and evaluation. Here’s a breakdown of essential concepts and project ideas to help you get started. 1. Data Collection and Preprocessing Data is the foundation of any ML project. Collecting relevant, high-quality data ensures models have the information needed to identify patterns. Preprocessing steps—such as cleaning, normalization, and handling missing values—prepare raw data for analysis. Project Example: Predicting House Prices Using the famous Boston housing dataset, you can start by cleaning data and then normalizing it to improve…

  • SCALA - AI, ML & Data Science

    Scala Basics

    October 2, 2018 - By 

    Originally posted October 2, 2018 by Kinshuk Dutta Table of Contents What is Scala? Comparison Between Scala and Java Installing Scala on macOS Setting Up Your Development Environment Scala Basics with REPL Data Types, Variables, and Immutability Next Steps in Scala Learning What is Scala? Scala is a general-purpose programming language that blends object-oriented and functional programming, providing powerful support for concurrency and a strong static type system. It’s designed to be concise and expressive, particularly in comparison to Java. Scala’s compatibility with Java makes it a popular choice in Big Data applications, notably with frameworks like Apache Spark. Comparison…

  • AI, ML & Data Science

    Deep Learning Using TensorFlow

    January 9, 2017 - By 

    What is Deep Learning? As we saw in our previous blog AI – Machine Learning & Deep Learning that deep learning is a subfield of machine learning. While both fall under the broad category of artificial intelligence, deep learning is what powers the most human-like artificial intelligence. In this blog, we will make an attempt to learn the basics of Google’s deep learning framework using TensorFlow and Python. What is TensorFlow In order to implement Machine Learning, TensorFlow provides software libraries to create a computational graph. I selected TensorFlow mainly because of my love for open source. You can get more information…

  • AI, ML & Data Science

    Spark Basics

    September 7, 2016 - By 

    Spark Basics: A Complete Guide to Installing and Using Apache Spark on macOS Sierra Apache Spark is a powerful open-source tool designed for large-scale data processing, analytics, and machine learning. This guide walks you through installing Apache Spark on macOS Sierra, explains its core components, and provides practical project examples and real-life scenarios to help you understand its capabilities. Table of Contents Introduction to Apache Spark Setting Up Apache Spark on macOS Sierra Understanding Core Components of Apache Spark Getting Started with Spark Shell Sample Projects and Real-Life Scenarios Using Spark Real-Life Applications of Apache Spark Next Steps in Learning…

  • Time Series & Forecasting - Machine Learning

    How LSTM Emerged as the Backbone of AI-Driven Forecasting Across Industries: How LSTM Became the Forecasting Workhorse

    May 3, 2016 - By 

    🔍 Find out how LSTM Time Series Forecasting transformed the approach to data prediction—and why it beats traditional models For decades, time series forecasting was synonymous with models like AR, MA, and ARIMA—mathematical frameworks built on assumptions of linearity, stationarity, and seasonality. While powerful in their domain, these models often struggled with nonlinear patterns, sudden regime shifts, and multivariate complexity found in modern datasets. Enter LSTM (Long Short-Term Memory)—a specialized neural network architecture designed to capture long-range dependencies in sequential data. Unlike traditional models, LSTMs don’t require manual feature engineering or rigid assumptions. They learn directly from the data—detecting trends,…

  • Python
    AI, ML & Data Science

    Python Basics

    February 11, 2013 - By 

    Python Basics (Python v3.2.5) This blog is a comprehensive introduction to Python, covering what Python is, how to install and use it, along with practical scenarios, sample projects, and valuable tips. The goal is to give readers a hands-on understanding and prepare them to tackle real-world Python tasks confidently. What is Python? Python is an interpreted, high-level, general-purpose programming language. Known for its readable syntax and versatility, Python is used across various domains, from web development to scientific computing. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes simplicity and readability, with significant whitespace usage.…

  • Big Data - AI, ML & Data Science

    Are you a Data Engineer or a Data Scientist?

    November 30, 2010 - By 

    Are you a Data Engineer or a Data Scientist? In the recent time two new designation / title is making the headlines in the data world. ? Data Engineer & Data Scientist and it all begun with Data Analytics. A data is no good unless we derive information out of it and that information should be insightful. The set of tools which lets you do that is known as data analytics products. People working in analytics are often associated with terms like Engineers & Scientists. Why does it matter at all? Well it matters because it determines the career road…