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“machine learning foundations” 的结果
- 状态:预览
National Taiwan University
您将获得的技能: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Algorithms, Regression Analysis, Predictive Modeling, Feature Engineering, Artificial Intelligence, Data Ethics, Statistical Methods, Data Transformation
- 状态:新状态:预览
您将获得的技能: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
- 状态:免费试用
Imperial College London
您将获得的技能: Python 程序设计, 线性代数, 数据操作, 回归分析, 微积分, 统计分析, 统计, 数据科学, 应用数学, 降维, Algorithm, NumPy, 机器学习算法, 人工神经网络, 概率与统计, 衍生产品, Jupyter, 高等数学, 机器学习
- 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:免费试用
您将获得的技能: 统计建模, 决策树学习, 回归分析, 分类与回归树 (CART), 预测建模, 监督学习, 降维, 机器学习, 应用机器学习, 无监督学习, Scikit-learn (机器学习库), 功能工程
- 状态:免费试用
Duke University
您将获得的技能: 回归分析, 决策树学习, 监督学习, 分类与回归树 (CART), 自然语言处理, 数据科学, Algorithm, 随机森林算法, 计算机视觉, 人工智能和机器学习(AI/ML), 人工神经网络, 性能指标, 预测分析, 机器学习, 无监督学习, 深度学习
- 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:免费试用
您将获得的技能: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment
- 状态:免费试用状态:人工智能技能
University of Pennsylvania
您将获得的技能: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
- 状态:新状态:免费试用
您将获得的技能: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring
- 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:新状态:免费试用
您将获得的技能: Data Processing
与 machine learning foundations 相关的搜索
总之,以下是 10 最受欢迎的 machine learning foundations 课程
- 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
- Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
- 机器学习数学: Imperial College London
- Foundations of Data Science and Machine Learning with Python: Packt
- 使用 Python 进行机器学习: IBM
- 产品经理的机器学习基础: Duke University
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
- AI Foundations with Python: Build & Visualize: EDUCBA
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Building a Machine Learning Solution: Coursera