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：免费试用Imperial College London
您将获得的技能: 贝叶斯统计, 无监督学习, 张力流, 概率分布, 自动编码器, 应用机器学习, 生成模型架构, 图像分析, 深度学习, 抽样（统计）
状态：预览Northeastern University
您将获得的技能: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
您将获得的技能: Interactive Learning, Education Software and Technology, End User Training and Support, Virtual Environment
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 卷积神经网络, Machine Learning 方法, 医疗保健项目管理, 应用机器学习, 人工神经网络, 递归神经网络 (RNN), 无监督学习, 图像分析, 自动编码器, 深度学习, 生成对抗网络 (GAN), 健康信息学, 预测建模, 图论
您将获得的技能: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning
状态：免费试用您将获得的技能: 迁移学习, 卷积神经网络, 模型评估, 张力流, 强化学习, 人工神经网络, 递归神经网络 (RNN), 性能调整, 无监督学习, 生成对抗网络 (GAN), 自动编码器, 深度学习, 人工智能和机器学习（AI/ML）, Keras（神经网络库）
状态：预览The University of Tokyo
您将获得的技能: Oral Comprehension, Traffic Flow Optimization, Vocabulary, Water Resources, Literacy, Water Quality, Language Learning, Robotics, Grammar, Augmented Reality, Biochemistry
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
状态：免费试用Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: 新兴技术, 教育软件和技术, 数字教学法, 计算机科学, 人工智能, 协作软件, 互动设计, 教学策略, 创新
状态：预览Politecnico di Milano
您将获得的技能: Pedagogy, Instructional Design, Innovation, Education Software and Technology, Learning Theory, Creativity, Critical Thinking, Problem Solving
总之，以下是 10 最受欢迎的 applied machine learning 课程
- 使用 TensorFlow 2 进行概率深度学习: Imperial College London
- Foundations of Statistical Learning & Algorithms: Northeastern University
- Support Interactive Learning with Genially: Coursera
- 医疗保健领域的高级深度学习方法: University of Illinois Urbana-Champaign
- Deep Learning with PyTorch : Object Localization: Coursera
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- Let’s Read! Learning Japanese through Science & Technology-1: The University of Tokyo
- Deep Learning with Real-World Projects: Packt
- AI & Deep Learning Concepts and Applications: Simplilearn
- Deep Learning with PyTorch : Siamese Network: Coursera
