Chanaka Prasanna - FutureWiseTech

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Chanaka Prasanna

AI/ML Enthusiast | Blogger | Undergraduate at UOM | Technology Explorer

Building a Simple Conversational Chat Application Using Gemini-Pro

Building a Simple Conversational Chat Application Using Gemini-Pro

In this blog post, we’ll walk you through how to create a simple conversational chat application using Gemini-Pro, an advanced AI model provided by Google’s Generative AI platform. Whether you’re new to AI or experienced in building apps, this step-by-step guide will help you understand the basics

Multiple Linear Regression - Ordinary Least Squares Method Explained

Multiple Linear Regression - Ordinary Least Squares Method Explained

In the realm of data analysis, understanding the relationships between variables is crucial. One of the most powerful tools for uncovering these relationships is regression analysis. While I previously explored the fundamentals of regression and linear regression, this blog post delves deeper into multiple linear regression. This technique allows us

Building a Simple Q&A App with Gemini Pro and Python

Building a Simple Q&A App with Gemini Pro and Python

Step 1 Before everything, you need to have API key fto use Gemini models. If you dont know how to create one, reffer this blog post. Everything About Gemini API and How to Get Your KeyGoogle’s Gemini is a powerful new AI model family. Let’s dive into what

Everything About Gemini API and How to Get Your Key

Everything About Gemini API and How to Get Your Key

Google's Gemini is a powerful new AI model family. Let's dive into what makes it special and how you can start using it. What is Gemini? Gemini is a versatile model family from Google. Each Gemini model is built for specific use cases, making it adaptable

Generative AI - The Creative Force in Artificial Intelligence

Generative AI - The Creative Force in Artificial Intelligence

Artificial Intelligence (AI) has come a long way since its inception. Today, we're witnessing a revolution within AI, led by a fascinating subset called generative AI. But what exactly is generative AI, and how does it fit into the broader landscape of AI technologies? Let's dive

Understanding Neural Networks - Mimicking the Brain

Understanding Neural Networks - Mimicking the Brain

Have you ever wondered how scientists are trying to make computers think like humans? Well, that's what neural networks are all about! Let's dive into this fascinating world and see how it all works. The Big Idea - Copying the Brain Scientists had a cool thought:

The Best Jobs in AI, ML, and Data Science - What Could You Be?

The Best Jobs in AI, ML, and Data Science - What Could You Be?

Hey there, futuretech wizards! So, you're curious about the kinds of jobs you could land in the world of Artificial Intelligence (AI), Machine Learning (ML), and Data Science? Well, buckle up, because we're about to take a tour of some of the coolest gigs in tech

Why You Should Jump into AI, ML, and Data Science in 2024

Why You Should Jump into AI, ML, and Data Science in 2024

Hey there! Thinking about diving into the world of Artificial Intelligence (AI), Machine Learning (ML), and Data Science? Well, you've picked a great time to start! Let's chat about why 2024 is the perfect year to get your feet wet in these exciting fields. The AI

Regression Analysis

Regression Analysis

When dealing with data in the real world, you may encounter some variables (features) that have some relationships between them. These relationships may be linear or nonlinear. So, regression analysis is a technique used to find/model relationships between variables. For example, How do students' marks on the statistics

Simulations and Random Number Generation - Exploring Linear Congruential Generator

Simulations and Random Number Generation - Exploring Linear Congruential Generator

What does simulation mean? Well, it says, we are using a model (Mathematical representation of a system) where the computer is used to act like a given system. And we can see a simulation type called Monte Carlo simulations. It just uses internally generated (pseudo) random numbers for the simulation.

Let's Compare Different Kernels for SVM Models

Let's Compare Different Kernels for SVM Models

Support Vector Machines (SVMs) are a versatile tool in machine learning, capable of handling both linear and complex non-linear data through the use of kernel functions. Kernels allow SVMs to transform data into higher dimensions, making it easier to find optimal decision boundaries. In this blog post, we will: 1.

Confused About SVM Models? Here's How to Choose the Best One for Your Data!

Confused About SVM Models? Here's How to Choose the Best One for Your Data!

What are Support Vector Machines (SVMs)? Support Vector Machines (SVMs) are powerful tools used in supervised machine learning for tasks like classification, regression, and finding outliers (data points that don't fit the general pattern). Think of them as a way to draw a line (or a curve) that

Converting Categorical Data into Numerical Form in Machine Learning

Converting Categorical Data into Numerical Form in Machine Learning

Categorical data refers to variables that represent categories or labels rather than numerical values. For example, "color" could have categories like "red," "blue," and "green." Machine learning algorithms, however, typically require numerical input to perform computations. Converting categorical data into numerical form

The Importance of Feature Scaling

The Importance of Feature Scaling

What is Feature Scaling? Imagine you’re setting up a race between a cheetah and a tortoise. If you measured their speeds in different units—miles per hour for the cheetah and meters per second for the tortoise—it would be tough to compare their performance. In machine learning, feature

Open Source AI Models

Open Source AI Models

What are Open Source Models? Imagine building a complex machine. Instead of keeping all the blueprints and parts secret, you share them with everyone. This is essentially what open source models are in the world of artificial intelligence (AI). These are AI models whose code and underlying data are publicly

Evaluating Model Performance with K-Fold Cross-Validation - A Practical Example

Evaluating Model Performance with K-Fold Cross-Validation - A Practical Example

In the previous article, I explained cross-validation. Now, I’m going to show you K-fold cross-validation in action. This is one of the most common techniques in cross-validation. Remember, if your dataset is imbalanced, you should first address this issue before using any cross-validation technique. K-fold cross-validation involves splitting your

Cross Validation Explained - Leave One Out, K Fold, Stratified, and Time Series Cross Validation Techniques

Cross Validation Explained - Leave One Out, K Fold, Stratified, and Time Series Cross Validation Techniques

Cross-validation is a technique for evaluating machine learning models by training them on different subsets of the available data and testing them on the remaining data. This approach helps to detect overfitting, which occurs when a model performs well on training data but fails to generalize to new, unseen data.

Hyperparameter Tuning Explained - Manual tuning, GridSearchCV and RandomizedSearchCV

Hyperparameter Tuning Explained - Manual tuning, GridSearchCV and RandomizedSearchCV

Here, we’re diving into the world of hyperparameter tuning in machine learning. If you’re new to this topic, don’t worry. We’ll break it down step by step with simple explanations and code examples. We’ll also cover why tuning hyperparameters is important and explore different methods

How to Choose the Best Model for Your Machine Learning Problem

How to Choose the Best Model for Your Machine Learning Problem

Finding the right machine learning model can feel like finding a needle in a haystack. With so many options out there, how do you know which one to choose? Don’t worry! This guide will help you figure it out by breaking down the process into simple steps, using the

Simple Introduction to Popular AI Related Terms These Days

Simple Introduction to Popular AI Related Terms These Days

In the world of artificial intelligence (AI), several terms have become very popular, especially with the rise of advanced tools like ChatGPT. Let's break down these terms to understand what they mean, why they're important, and how they're used. I’ll keep it simple

OpenAI Unveils New Search Feature - SearchGPT

OpenAI Unveils New Search Feature - SearchGPT

OpenAI has introduced a new search feature called SearchGPT, which aims to make finding information online faster and easier. This prototype combines the power of AI with real-time web information to provide quick and accurate answers to users' questions. Key Features * Direct Answers - SearchGPT will give you clear,