应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具,这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。

Johns Hopkins University
您将获得的技能: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms
中级 · 课程 · 1-3 个月

Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
攻读学位
中级 · 专项课程 · 3-6 个月

Stanford University
您将获得的技能: 模型评估, 机器学习, 卷积神经网络, 深度学习, 负责任的人工智能, 人工智能和机器学习(AI/ML), 数据伦理, 数据预处理, 强化学习, 卫生政策, 医疗保健行业知识, 机器学习算法, 医疗保健伦理, 人工神经网络, 应用机器学习
初级 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Model Evaluation, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Statistical Methods, Matplotlib, Supervised Learning
混合 · 课程 · 1-4 周

University of California San Diego
您将获得的技能: 分类算法, 模型评估, 机器学习, 统计分析, 探索性数据分析, 数据分析, 数据预处理, 无监督学习, 大数据, Apache Spark, 预测建模, 应用机器学习, 回归分析, 数据挖掘, 监督学习
混合 · 课程 · 1-3 个月

Edureka
您将获得的技能: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
中级 · 专项课程 · 3-6 个月

The University of Chicago
您将获得的技能: 模型评估, 统计方法, 分类算法, 深度学习, 数据预处理, 无监督学习, 机器学习, Scikit Learn(机器学习库), 张力流, 降维, 随机森林算法, 回归分析, Keras(神经网络库), 机器学习算法, Pandas(Python 软件包), 应用机器学习, 功能工程, 监督学习
中级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: Python 编程, 机器学习, 分类算法, 无监督学习, 数据预处理, 数据转换, Scikit Learn(机器学习库), 数据清理, 降维, 随机森林算法, 预测建模, 人工神经网络, 监督学习, 应用机器学习
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Large Language Modeling, OpenAI, Text Mining, Applied Machine Learning, LLM Application, Statistical Machine Learning, Data Processing, Multilingualism
中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 异常检测, 数据伦理, 深度学习, 机器学习, 无监督学习, 算法, 降维, 人工智能, 强化学习, 监督学习, 人工神经网络
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
混合 · 课程 · 1-4 周