Day 1: Foundations of Machine Learning

Introduction to ML and AI:

Explore the synergy between Machine Learning and Artificial Intelligence, visualized through an engaging Venn diagram.

Understanding ML Algorithms:

Delve into the fundamental concepts of ML algorithms and grasp the nuances of Unsupervised, Supervised, and Reinforcement Learning.

Linear Regression and Temperature Prediction:

Take your first steps into practical application by predicting temperatures using Linear Regression, providing hands-on experience in algorithmic implementation.

Binary Classification:

Uncover the essentials of Binary Classification, where data is categorized into two classes, paving the way for more complex machine learning scenarios.

Day 2: Journey into Deep Learning

Introduction to Deep Learning:

Embark on a thrilling exploration of Deep Learning, unraveling its potential to model intricate patterns and relationships within data.

Overview of TensorFlow:

Dive into the TensorFlow framework, gaining insights into connected layers and understanding the essence of tensors as the building blocks of deep neural networks.

Introduction to Convolutional Neural Networks (CNN):

Navigate the realms of image processing and feature extraction through the lens of CNNs, a pivotal architecture in deep learning.

Image Classification with Keras:

Cap off the workshop with a hands-on session using Keras, where you will implement image classification and witness the transformative capabilities of deep learning in action.

Why Attend?

• Practical Insights: Gain practical experience through real-world applications of machine learning algorithms.
• Hands-on Learning: Engage in interactive sessions and workshops to reinforce theoretical concepts.
• Industry-Relevant Skills: Acquire skills relevant to the dynamic field of AI and ML with a focus on practical applications.