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
状态：预览University of Leeds
您将获得的技能: 沟通, 批判性思维, 自我意识, 数字扫盲, 学习策略, 技术交流, 协作, 个人发展, 数字通信
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: 学习理论, 建立关系, 教学法, 备课, 设定目标, 专业发展, 课程规划, 可信度, 教学设计, 教学, 协作, 成长意识, 教学策略, 成人学习原则, 学生参与, 建设性反馈
Google Cloud
您将获得的技能: 机器学习, 强化学习, Google 云端平台, GitHub, Jupyter, 游戏设计, 张力流
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：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：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: 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：免费试用University of Colorado Boulder
您将获得的技能: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm
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
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 自动编码器, 卷积神经网络, 递归神经网络 (RNN), 嵌入, 健康信息学, 降维, 人工神经网络, 深度学习, 无监督学习, 模型部署, 应用机器学习, 模型评估, 图像分析, 医学影像, 预测建模
总之，以下是 10 最受欢迎的 applied machine learning 课程
- 在线培训和学习: University of Leeds
- Deep Learning with PyTorch: Coursera
- 为学习而教的基础教学规划: Commonwealth Education Trust
- 强化学习Qwik Start: Google Cloud
- Start Your Lifelong Learning: Accenture
- Practical Deep Learning with Python: Edureka
- Leader of Learning Experiences: Intel
- MOOC and Blended Learning: Tsinghua University
- Introduction to Learning Remotely: Intel
- Statistical Learning for Data Science: University of Colorado Boulder
