应用机器学习课程
应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具，这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。
热门应用机器学习课程和认证
Google Cloud
您将获得的技能: 机器学习, 强化学习, GitHub, Jupyter, Google 云端平台, 张力流, 游戏设计
您将获得的技能: Interactive Learning, Developing Training Materials, Game Design, Education Software and Technology, Infographics, Content Creation, Digital pedagogy
状态：新状态：免费试用Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
Commonwealth Education Trust
您将获得的技能: 专业发展, 学习理论, 协作, 学生参与, 课程规划, 教学法, 建设性反馈, 建立关系, 可信度, 成长意识, 教学, 备课, 教学策略, 成人学习原则, 设定目标, 教学设计
状态：预览Accenture
您将获得的技能: Conflict Management, Growth Mindedness, Emotional Intelligence, Lifelong Learning, Critical Thinking, Active Listening, Decision Making, Problem Solving, Willingness To Learn, Communication, Stress Management, Resilience, Adaptability
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
状态：预览Tsinghua University
您将获得的技能: Blended Learning, Digital pedagogy, Education Software and Technology, Emerging Technologies, Digital Transformation, Innovation
状态：免费试用您将获得的技能: Innovation, Lesson Planning, Education Software and Technology, Digital pedagogy, Learning Management Systems, Instructional Strategies, Pedagogy, Telecommuting, Teamwork, Collaboration, Student-Centred Learning, Student Engagement, Community Development, Instructional Design, Classroom Management, Learning Strategies, Virtual Environment, Creative Thinking, digital literacy, Artificial Intelligence
状态：免费试用您将获得的技能: Telecommuting, Learning Management Systems, Student Engagement, Education Software and Technology, Digital pedagogy, Virtual Environment, Stress Management, Train The Trainer, Instructional Design, Organizational Skills, Active Listening, Empathy, Communication, Collaboration
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 卷积神经网络, 自动编码器, 模型部署, 嵌入, 医学影像, 深度学习, 人工神经网络, 递归神经网络 (RNN), Python 程序设计, 应用机器学习, 无监督学习, 预测建模, 降维, 模型评估, 健康信息学, 图像分析
状态：免费试用MathWorks
您将获得的技能: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis
总之，以下是 10 最受欢迎的 applied machine learning 课程
- 强化学习Qwik Start: Google Cloud
- Gamification Learning with Genially: Coursera
- Deep Learning with PyTorch: Coursera
- 为学习而教的基础教学规划: Commonwealth Education Trust
- Start Your Lifelong Learning: Accenture
- Practical Deep Learning with Python: Edureka
- MOOC and Blended Learning: Tsinghua University
- Leader of Learning Experiences: Intel
- Introduction to Learning Remotely: Intel
- Deep Learning for Computer Vision: University of Colorado Boulder
