Applied Machine Learning

应用机器学习是一种构建算法的多学科方法,可以从数据中学习并预测未来数据。Coursera 的《应用机器学习》目录为您提供了在一系列实际应用中有效使用机器学习的必要知识和技能。您将学习如何处理和分析大规模数据,使用监督和非监督学习技术构建预测模型,并将这些模型应用于实际问题,如 Scale Recognition 和语音识别、自动驾驶和预测分析。通过掌握决策树、Artificial Neural Network、回归和 Clustering 等机器学习技术,提高您解决问题的能力,并在数据科学、人工智能和软件工程等领域获得竞争优势。
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探索应用机器学习课程目录

  • 状态:免费试用

    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:免费试用

    您将获得的技能: 机器学习算法, 分类与回归树 (CART), 预测建模, 回归分析, Python 程序设计, 降维, 统计分析, 应用机器学习, 功能工程, 无监督学习, 监督学习, 机器学习, Scikit-learn (机器学习库)

  • 状态:免费试用

    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:新
    状态:免费试用

    您将获得的技能: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning

  • 状态:免费试用

    您将获得的技能: 分类与回归树 (CART), 机器学习算法, 统计方法, 数据处理, 统计推理, 预测建模, 回归分析, 监督学习, 降维, 统计, 探索性数据分析, 统计假设检验, 应用机器学习, 功能工程, 数据访问, 无监督学习, 统计分析, 数据分析, 机器学习, Scikit-learn (机器学习库)

  • 状态:新
    状态:免费试用

    您将获得的技能: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

  • 状态:免费试用

    University of Washington

    您将获得的技能: 人工智能, 机器学习算法, 分类与回归树 (CART), 预测建模, 监督学习, 无监督学习, 回归分析, 文本挖掘, 计算机视觉, 统计建模, 功能工程, 深度学习, 预测分析, 应用机器学习, 图像分析, 数据挖掘, 大数据, 统计机器学习, 机器学习, 贝叶斯统计

  • 状态:免费试用

    您将获得的技能: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

  • 状态:免费试用

    您将获得的技能: 统计方法, 市场动态, 金融交易, 预测建模, 张力流, 回归分析, 衍生产品, 降维, 人工神经网络, 应用机器学习, 马尔可夫模型, 金融建模, 监督学习, 决策树学习, 金融市场, 风险模型, 无监督学习, 强化学习, 机器学习, Scikit-learn (机器学习库)

  • 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

    您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning

  • 状态:免费试用

    您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Financial Market, Artificial Neural Networks

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