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“machine learning foundations” 的结果
状态：新状态：免费试用Coursera
您将获得的技能: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
状态：新状态：免费试用您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
状态：免费试用University of Washington
您将获得的技能: 文本挖掘, 分类与回归树 (CART), 深度学习, 计算机视觉, Python 程序设计, 机器学习, 应用机器学习, 回归分析, 人工智能, 数据挖掘, 功能工程, 自然语言处理, 监督学习, 图像分析, 预测建模
状态：预览National Taiwan University
您将获得的技能: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms
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：免费试用University of Pittsburgh
您将获得的技能: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
DeepLearning.AI
您将获得的技能: MLOps（机器学习 Operator）, 数据驱动的决策制定, 持续监测, 应用程序部署, 数据质量, 持续部署, 功能工程, 机器学习, 应用机器学习, 数据管道, 软件开发生命周期, 数据验证
状态：免费试用DeepLearning.AI
您将获得的技能: A/B 测试, 抽样（统计）, 数值分析, 数据转换, 数学建模, 应用数学, 描述性统计, 统计分析, NumPy, 线性代数, 概率, 降维, 机器学习, 微积分, 概率与统计, 统计假设检验, Machine Learning 方法, 概率分布, 贝叶斯统计, 统计推理
状态：新状态：免费试用您将获得的技能: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Supervised Learning, NumPy, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, Random Forest Algorithm, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Tensorflow, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
状态：免费试用多位教师
您将获得的技能: 分类与回归树 (CART), 负责任的人工智能, 决策树学习, 无监督学习, 深度学习, 人工智能和机器学习（AI/ML）, NumPy, 数据伦理, 机器学习, Python 程序设计, 随机森林算法, 应用机器学习, 人工智能, 张力流, Scikit-learn （机器学习库）, 功能工程, 监督学习, 强化学习, 预测建模, Jupyter
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
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
- Foundations of Machine Learning: Coursera
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- 机器学习基础：案例研究法: University of Washington
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Machine Learning with PyTorch and Scikit-Learn: Packt
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- The Nuts and Bolts of Machine Learning: Google
- 生产中的 Machine Learning: DeepLearning.AI
- 机器学习和数据科学数学: DeepLearning.AI
- Artificial Intelligence with Python: Foundations to Projects: EDUCBA
