All current Supervised Learning Courses courses in 2024
98 Courses
Machine Learning in GIS : Understand the Theory and Practice
Elevate your skills by exploring the synergies between Machine Learning and Geographic Information Systems (GIS) in this comprehensive course offered by Udemy. Delve into the principles and practical applications of Remote Sensing in QGIS and Google Earth Engine.
This course is ideal for individuals eager to enhance their understanding of b.
Machine Learning Basics
Sharpen your digital skills by leveraging predictive analytics across multiple industries with machine learning at the forefront. In collaboration with FutureLearn, join Sungkyunkwan University for a four-week course and stay ahead of the competition.
Enhance your understanding of AI and machine learning's core ideas to become a tech-savvy playe.
AWS Flash - Memahami Machine Learning, Amazon SageMaker Canvas, dan Kasus Penggunaannya
Join us for AWS Flash: Memahami Machine Learning, a comprehensive session focused on Amazon SageMaker Canvas. This event will cover practical use cases within the financial services sector to enhance your understanding of machine learning. Hosted by AWS Skill Builder, this workshop is tailored for anyone interested in expanding their knowledge of A.
AI and Machine Learning Algorithms and Techniques
Delve into the essential algorithms and methodologies at the heart of AI and Machine Learning with this in-depth course. Discover how pre-trained large-language models (LLMs) and various learning paradigms like supervised, unsupervised, and reinforcement learning come together to solve complex business challenges.
Gain hands-on experience in.
Deep learning Preparation Course in Arabic Part 1 : Python
Embark on your machine learning journey with the Deep Learning Preparation Course in Arabic, Part 1: Python. Learn the essential skills needed to become a learning machine. This course is delivered by experts on Udemy, providing a comprehensive introduction to Python within the context of deep learning.
Categories include:
Python Courses.
小白学人工智能
中国也在大力发展新一代人工智能技术，并致力于将其应用于各行各业。本课程完成后，学生将能够：
了解人工智能行业的最新应用和发展趋势。
从数据、算法和计算力的角度理解人工智能的发展。
用行业或生活术语比喻人工智能的概念和原理。
体验和理解深度学习原理，涉及CNN、图像风格迁移、RNN等架构。
通过实例理解深度学习特征，如输入层、隐藏层、输.
Introduction to Artificial Intelligence
This course offers a comprehensive introduction to the fundamental concepts, history, and algorithms of Artificial Intelligence. Participants will gain insights into key AI terminologies such as data processing, machine learning, deep learning, and neural networks. Additionally, the course covers practical AI applications in areas like classifi.
人工智能原理
人工智能是全球知名大学计算机专业的核心课程之一，也是国际上顶尖高校和研究机构的关键研究领域。该领域研究如何通过计算机软硬件实现Agent的感知、决策和智能行为，涵盖的理论基础包括搜索、推理、规划和学习，其应用范围涉及计算机视觉、图像分析、模式识别、专家系统、自动规划、智能搜索、计算机博弈、智能控制、机器人技术、自然语言处理、社交网络、数据挖掘和虚拟.
Artificial Intelligence with Machine Learning, Deep Learning
Delve into the world of Artificial Intelligence with our comprehensive course on Machine Learning and Deep Learning using Python. Learn to harness the power of Transfer Learning and frameworks like TensorFlow to take your AI skills to the next level. Perfect for anyone looking to deepen their understanding of Neural Networks and beyond.
人工智能导论
探索人工智能基础概念，研究数据驱动的网络模型、算法与平台。本课程梳理人工智能的关键发展节点，激发您的学习兴趣。通过此课程，您将牢牢掌握人工智能基础，为深度学习的最前沿铺路，不仅适合计算机专业学生，也对其他学科的学生适宜。
