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“advanced machine learning” 的结果
状态：新状态：免费试用您将获得的技能: Data Processing
状态：免费试用Google Cloud
您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, AI Personalization, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning 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：免费试用多位教师
您将获得的技能: 人工智能, 监督学习, Python 程序设计, 无监督学习, 人工智能和机器学习（AI/ML）, 决策树学习, 机器学习, 深度学习, 分类与回归树 (CART), 预测建模, 随机森林算法, 强化学习, 应用机器学习, 负责任的人工智能, 数据伦理, Jupyter, NumPy, 张力流, Scikit-learn （机器学习库）, 功能工程
状态：免费试用DeepLearning.AI
您将获得的技能: 线性代数, 应用数学, 统计假设检验, A/B 测试, Machine Learning 方法, 数值分析, 统计推理, 抽样（统计）, 机器学习, 贝叶斯统计, 降维, 概率, 概率分布, 统计分析, 微积分, 概率与统计, 数学建模, 描述性统计, NumPy, 数据转换
是什么让您今天来到 Coursera？
状态：免费试用DeepLearning.AI
您将获得的技能: 决策树学习, 监督学习, 人工神经网络, 随机森林算法, 机器学习, 数据伦理, 分类与回归树 (CART), 深度学习, 性能调整, 张力流, 负责任的人工智能
状态：免费试用DeepLearning.AI
您将获得的技能: AI 个性化服务, 数据分析, 决策树学习, 人工智能, 预测, 随机森林算法, 放射诊断学, 统计分析, 临床试验, 机器学习, 预测建模, 应用机器学习, 功能工程, 风险模型, 深度学习, 数据处理, 精准医疗, 病人治疗, 图像分析, 张力流
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, 人工智能, Python 程序设计, MLOps（机器学习 Operator）, 调试, 人工智能和机器学习（AI/ML）, 监督学习, 自然语言处理, 文本挖掘, 人工神经网络, 机器学习, 张力流, 数据驱动的决策制定, PyTorch（机器学习库）, 应用机器学习, 深度学习, 性能调整, Keras（神经网络库）, 功能工程, 图像分析
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
状态：免费试用University of Washington
您将获得的技能: 计算机视觉, 机器学习算法, 统计建模, 人工智能, 预测建模, 监督学习, 无监督学习, 贝叶斯统计, 深度学习, 文本挖掘, 机器学习, 回归分析, 分类与回归树 (CART), 功能工程, 统计机器学习, 大数据, 预测分析, 数据挖掘, 应用机器学习, 图像分析
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
与 advanced machine learning 相关的搜索
总之，以下是 10 最受欢迎的 advanced machine learning 课程
- Advanced Machine Learning Techniques: Coursera
- Advanced Machine Learning on Google Cloud: Google Cloud
- Machine Learning with PyTorch and Scikit-Learn: Packt
- Foundations of Machine Learning: Coursera
- 机器学习: DeepLearning.AI
- 机器学习和数据科学数学: DeepLearning.AI
- 高级学习算法: DeepLearning.AI
- 医学人工智能: DeepLearning.AI
- 深度学习: DeepLearning.AI
- The Nuts and Bolts of Machine Learning: Google
