Machine Learning 数学课程通常教授线性代数、微积分、概率和统计学,为理解算法打下坚实的基础。您可以掌握优化技术、数据分析和模型评估方面的技能,这些技能对于有效的机器学习应用至关重要。许多课程都会介绍 NumPy 和 TensorFlow 等 Python 库等工具,帮助您在 AI 项目中实现数学概念,提高您使用数据驱动模型的能力。
University of London
您将获得的技能: 分类算法, 人工智能, 数据收集, 机器学习, 数据预处理, 模型评估, 图像分析, 数据分析
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初级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
中级 · 专项课程 · 3-6 个月

Wesleyan University
您将获得的技能: 统计分析, 分类与回归树 (CART), 无监督学习, 机器学习算法, 决策树学习, 回归分析, Python 编程, 机器学习, 随机森林算法, 预测分析, 功能工程, 模型评估, 数据挖掘, 应用机器学习, 探索性数据分析, 数据分析
混合 · 课程 · 1-4 周

Coursera
您将获得的技能: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, 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, Data Preprocessing, Cloud Deployment
中级 · 课程 · 1-3 个月

您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
中级 · 专项课程 · 3-6 个月

您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
中级 · 课程 · 3-6 个月

Fractal Analytics
您将获得的技能: 回归分析, 分类算法, 无监督学习, 模型部署, 决策树学习, 数据预处理, 预测建模, 机器学习, 功能工程, 监督学习, 模型评估, 逻辑回归, 异常检测
初级 · 课程 · 1-3 个月

您将获得的技能: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning
中级 · 专项课程 · 3-6 个月

Duke University
您将获得的技能: 计算机视觉, 无监督学习, PyTorch(机器学习库), 自然语言处理, 迁移学习, 卷积神经网络, 深度学习, 递归神经网络 (RNN), Python 编程, 医学影像, 机器学习, 强化学习, 监督学习, 图像分析, 应用机器学习, 逻辑回归, 人工神经网络
中级 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 分类算法, 迁移学习, 深度学习, 数据伦理, 模型评估, 应用机器学习, 机器学习, 决策树学习, 人工智能, 张力流, 人工神经网络, 监督学习, 性能调整, 逻辑回归, 随机森林算法
初级 · 课程 · 1-4 周