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“advanced machine learning” 的结果
- 状态:免费试用
Fractal Analytics
您将获得的技能: 机器学习算法, 分类与回归树 (CART), 预测建模, Algorithm, 回归分析, 人工智能和机器学习(AI/ML), 监督学习, 随机森林算法, 功能工程, 应用机器学习, 决策树学习, 机器学习, 性能调整
- 状态:免费试用
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm
- 状态:预览
IBM
您将获得的技能: 人工智能, 分类与回归树 (CART), 数据科学, 预测建模, 性能指标, 深度学习, 强化学习, 无监督学习, 监督学习, 机器学习
- 状态:免费试用
Google Cloud
您将获得的技能: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 网络架构, 张力流, 计算机视觉, 深度学习, Keras(神经网络库), 图像分析, 热图
- 状态:新状态:免费试用
您将获得的技能: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Supervised Learning, Dimensionality Reduction, Regression Analysis
- 状态:新状态:免费试用
您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture
- 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
您将获得的技能: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Data Cleansing, Deep Learning, Statistical Analysis, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis
- 状态:免费试用
您将获得的技能: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 应用数学, 数据科学, Machine Learning 方法, 数据转换, 数学建模, 降维, Python 程序设计, NumPy, 线性代数, 机器学习, 数据操作
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 人工智能, 预测建模, 分类与回归树 (CART), 回归分析, 监督学习, NumPy, Python 程序设计, 统计建模, 应用机器学习, Jupyter, 功能工程, 机器学习, Scikit-learn (机器学习库), 数据转换
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
- 高级机器学习算法: Fractal Analytics
- AI ML with Deep Learning and Supervised Models: Simplilearn
- 机器学习入门: IBM
- Machine Learning on Google Cloud: Google Cloud
- 利用 TensorFlow 实现高级计算机视觉: DeepLearning.AI
- Advanced Data Science Techniques (with AWS Integration): Coursera
- Learning Deep Learning: Unit 2: Pearson
- Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
- NVIDIA: Fundamentals of Machine Learning: Whizlabs
- Advanced Machine Learning and Deep Learning: Packt