Ai And Machine Learning By Mariam Burjanadze

AI definition, ML basics.

What you'll learn

Fundamentals of AI and ML

Mathematics Essentials

Programming Skills

Machine Learning Algorithms

Requirements

No Prior Experience Required: This course is designed for beginners with little to no prior knowledge of Artificial Intelligence (AI) and Machine Learning (ML).

Description

Welcome to the "Introduction to Artificial Intelligence and Machine Learning with Python" course! In this immersive learning experience, we will embark on a journey to demystify the world of Artificial Intelligence (AI) and Machine Learning (ML) while harnessing the power of Python.Artificial Intelligence (AI): We'll start by defining AI, exploring its historical context, and understanding how it has evolved into the dynamic field it is today. You'll gain a clear perspective on AI's overarching goal – to create intelligent agents that can mimic human-like reasoning, problem-solving, and decision-making.Machine Learning (ML) Basics: Building on this foundation, we'll delve into the basics of Machine Learning, a subset of AI. You'll grasp the core concepts, including supervised and unsupervised learning, and dive into the fundamental algorithms that power ML, such as linear regression and decision trees.Essential Linear Algebra: Understanding linear algebra is crucial for AI and ML. We'll introduce you to the key linear algebra concepts that underpin many ML algorithms. You'll learn about vectors, matrices, matrix operations, and eigenvalues, all of which play a pivotal role in machine learning implementations.Programming Fundamentals with Python: Python is the language of choice for AI and ML, thanks to its simplicity and vast ecosystem of libraries. In this course, you'll master Python from the ground up. Starting with variables, data types, and control flow, you'll progress to more advanced topics like functions, data structures (lists, dictionaries), and libraries (NumPy, pandas). By the end, you'll be equipped with the coding skills needed to manipulate data, build ML models, and unleash the full potential of Python in AI and ML.Throughout the course, you'll work on hands-on exercises, real-world projects, and gain valuable insights into the AI and ML industry. Our goal is to empower you with a strong foundation in AI, ML, Python, and linear algebra, so you can confidently pursue more advanced topics in these exciting fields.Whether you're a beginner seeking to enter the world of AI and ML or a professional looking to upskill, this course is your gateway to understanding, applying, and thriving in the realms of Artificial Intelligence and Machine Learning with Python. Join us, and let's embark on this transformative learning journey together!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: What is Artificial Intelligence?

Lecture 2 Define AI and explain its significance in today's world.

Section 3: Introduction to Machine Learning

Lecture 3 Define ML and differentiate it from traditional programming.

Section 4: Types of Machine Learning

Lecture 4 Briefly explain supervised, unsupervised, and reinforcement learning.

Section 5: Linear Algebra for ML

Lecture 5 Cover basic Linear Algebra concepts

Section 6: Probability and statistics

Lecture 6 Cover Probability and statistics concepts.

Section 7: Programming Fundamentals

Lecture 7 Python basics

Beginners: This course is designed for individuals who are new to the field of Artificial Intelligence (AI) and Machine Learning (ML) and want to build a strong foundation.