Rebelway - Intro To Machine Learning

探索人工智能的基本知識：理論、算法和應用。掌握 Python 和用于實際解決方案的頂級庫。獲得使用機器學習訓練自己的人工智能的信心

課程細分

本課程全面介紹人工智能 (AI) 和機器學習 (ML) 的基礎知識。

它首先概述了人工智能的歷史演變及其在當今各個行業中的重要性。參與者將深入研究基本的 ML 算法并探索它們在現代技術中的應用。本課程涵蓋了廣泛的 ML 架構和模型，包括監督和無監督學習、遷移學習、NLP 和計算機視覺。還討論了神經網絡、Transformer 和 Houdini 等 DCC 工具等高級主題。

通過實踐練習，學生將獲得數據科學基礎知識的實踐經驗，包括數學概念、用于數據處理的 Python 編程以及使用 ScikitLearn、TensorFlow 和 PyTorch 等流行庫進行性能評估。

課程最后重點介紹如何部署可用于生產的 ML 模型，以及了解機器學習和數據管道的復雜性。

THE ULTIMATE GUIDE TO MACHINE LEARNING AND AI DEVELOPMENT

Explore AI essentials: theory, algorithms, and applications. Master Python and top libraries for real-world solutions. Gain confidence in training your own AI using Machine Learning

COURSE BREAKDOWN

This course provides a comprehensive introduction to the basics of Artificial Intelligence (AI) and Machine Learning (ML).

It begins with an overview of AI's historical evolution and its significance across various industries today. Participants will delve into fundamental ML algorithms and explore their applications in modern technologies. The course covers a wide range of ML architectures and models, including supervised and unsupervised learning, transfer learning, NLP, and computer vision. Advanced topics such as neural networks, transformers, and DCC tools like Houdini are also discussed.

Through practical exercises, students will gain hands-on experience in data science fundamentals, including mathematical concepts, Python programming for data manipulation, and performance evaluation using popular libraries like ScikitLearn, TensorFlow, and PyTorch.

The course concludes with a focus on deploying production-ready ML models and understanding the intricacies of machine learning and data pipelines.