Enroll Course: https://www.udemy.com/course/python-per-ml-e-ai/
In the rapidly evolving world of technology, Artificial Intelligence (AI) and Machine Learning (ML) stand at the forefront, shaping our future. At the heart of these groundbreaking disciplines lies Python, a programming language that has become indispensable. As the third most utilized programming language globally, Python’s versatility spans across Web Development (Django/Flask), Mobile Development (KIVY), Cybersecurity (Scapy), Data Analysis (Pandas), Scientific Analysis (SciPy), and Numerical Computation (Numpy).
It’s precisely this potent combination of simplicity and computational power that has cemented Python’s status as the go-to language for AI and ML. The most influential AI and ML libraries, such as Scikit-Learn, Keras, Tensorflow (Google), and PyTorch (Facebook), are all built upon Python.
This Udemy course, ‘Python per Machine Learning e Artificial Intelligence,’ aims to equip you with the foundational Python programming skills necessary to embark on your AI and ML journey. The course is meticulously structured into four main parts, culminating in a capstone project: building an Artificial Neural Network from scratch using only NumPy for matrix and vector calculations.
**Course Breakdown:**
* **Part 1: Python Programming:** This section covers the essentials, from setting up your development environment with Anaconda to mastering variables, data types, collections, conditional statements, and loops.
* **Part 2: Programming Paradigms:** Delve into Python’s multi-paradigm nature, exploring procedural programming with reusable functions and object-oriented programming through classes.
* **Part 3: Advanced Python:** Build upon your core knowledge with advanced topics like exception handling, file operations, code modularization, utilizing standard libraries (OS, Time, Datetime, Math, CSV), package management with PIP, and virtual environments (Virtualenv, Conda).
* **Part 4: Python for Scientific Computing:** This crucial part focuses on NumPy, the cornerstone library that powers many AI and ML tools, enabling efficient scientific computation.
**Capstone Project: Building an Artificial Neural Network from Scratch:** The course concludes with an introduction to Machine Learning and the inner workings of Artificial Neural Networks. You’ll then apply your learned skills to construct your own Neural Network capable of recognizing handwritten digits.
**Bonus Section: Recognizing Malignant Tumors:** As an added bonus, the course demonstrates how to train your developed Neural Network to identify malignant breast tumors from radiological scans.
**Recommendation:**
‘Python per Machine Learning e Artificial Intelligence’ is an excellent starting point for anyone looking to enter the fields of AI and ML. The course’s logical progression, hands-on exercises, and practical project make it highly effective. The instructors’ clear explanations and the comprehensive syllabus ensure a solid understanding of Python’s role in these exciting domains. If you’re serious about AI and ML, this course provides the essential Python toolkit you need.
Enroll Course: https://www.udemy.com/course/python-per-ml-e-ai/