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“introduction to machine learning” 的结果
- 状态:免费试用
DeepLearning.AI
您将获得的技能: Python 程序设计, 统计建模, 回归分析, 人工智能, 数据转换, 监督学习, 预测建模, 分类与回归树 (CART), 应用机器学习, 功能工程, Jupyter, 机器学习, Scikit-learn (机器学习库), NumPy
- 状态:免费
Amazon Web Services
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning
- 状态:新状态:预览
O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 人工智能, 计算机视觉, 人工神经网络, Keras(神经网络库), 张力流, 机器学习, 图像分析, 深度学习
- 状态:预览
University of London
您将获得的技能: 人工智能, 机器学习算法, 数据收集, 计算机视觉, 数据分析, 数据处理, 软件测试, 机器学习
- 状态:免费
Amazon Web Services
您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling
- 状态:新状态:预览
您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy
- 状态:新状态:预览
Northeastern University
您将获得的技能: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Data Processing, Risk Mitigation, Algorithms, AI Product Strategy, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Analytical Skills, Business Strategy, Business Planning
- 状态:免费
Amazon Web Services
您将获得的技能: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technology Roadmaps
- 状态:新状态:免费试用
您将获得的技能: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy
- 状态:新状态:预览
Simplilearn
您将获得的技能: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling, Algorithms
- 状态:免费试用
Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning
与 introduction to machine learning 相关的搜索
总之,以下是 10 最受欢迎的 introduction to machine learning 课程
- 监督式机器学习:回归与分类: DeepLearning.AI
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
- Machine Learning: O.P. Jindal Global University
- 用于人工智能、机器学习和深度学习的 TensorFlow 简介: DeepLearning.AI
- 全民机器学习: University of London
- Developing Machine Learning Solutions: Amazon Web Services
- Machine Learning with PyTorch and Scikit-Learn: Packt
- Introduction to Machine Learning and Algorithmic Bias: Northeastern University
- Introduction to Machine Learning: Art of the Possible: Amazon Web Services
- Foundations of Data Science and Machine Learning with Python: Packt