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  • Applied Machine Learning

应用机器学习课程

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。


热门应用机器学习课程和认证


  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    您将获得的技能: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    初级 · 课程 · 1-3 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    P

    Packt

    Machine Learning, Data Science and Generative AI with Python

    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

  • 状态:免费试用
    免费试用
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    您将获得的技能: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

    4.6
    评分, 4.6 星,最高 5 星
    ·
    448 条评论

    中级 · 专项课程 · 3-6 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    您将获得的技能: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    4.1
    评分, 4.1 星,最高 5 星
    ·
    7 条评论

    中级 · 专项课程 · 3-6 个月

  • 状态:免费试用
    免费试用
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    您将获得的技能: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Pipelines, Data Strategy, Supervised Learning, Machine Learning Algorithms, Deep Learning, Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Embeddings

    4.2
    评分, 4.2 星,最高 5 星
    ·
    30 条评论

    中级 · 专项课程 · 3-6 个月

  • 状态:免费试用
    免费试用
    M

    Macquarie University

    Cyber Security: Applied Cryptography

    您将获得的技能: Cryptography, Encryption, Data Security, Cybersecurity, Network Security, Public Key Infrastructure, Data Encryption Standard, Security Engineering, Blockchain, Data Storage Technologies, Wireless Networks, Security Management, Virtual Private Networks (VPN), Intellectual Property, Authentications, Hardware Architecture, Emerging Technologies

    初级 · 课程 · 1-3 个月

  • 状态:预览
    预览
    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    您将获得的技能: Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning, Machine Learning, Random Forest Algorithm, Classification Algorithms, Decision Tree Learning, Embeddings, Model Evaluation, Feature Engineering, Dimensionality Reduction, Regression Analysis

    4.9
    评分, 4.9 星,最高 5 星
    ·
    35 条评论

    中级 · 课程 · 3-6 个月

  • 状态:免费试用
    免费试用
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    您将获得的技能: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression

    中级 · 课程 · 1-3 个月

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    您将获得的技能: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment

    初级 · 课程 · 1-3 个月

  • 状态:免费试用
    免费试用
    W

    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    您将获得的技能: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling

    3.9
    评分, 3.9 星,最高 5 星
    ·
    41 条评论

    初级 · 专项课程 · 1-3 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    您将获得的技能: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    中级 · 课程 · 1-3 个月

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Italiano

    您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning

    初级 · 课程 · 1-3 个月

与 applied machine learning 相关的搜索

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applied machine learning with python
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1…293031…576

总之,以下是 10 最受欢迎的 applied machine learning 课程

  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Cyber Security: Applied Cryptography: Macquarie University
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Foundations of Data Science and Machine Learning with Python: Packt
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs

您可以在 Machine Learning 中学到的技能

Python 程序设计 (33)
Tensorflow (32)
深度学习 (30)
人工神经网络 (24)
大数据 (18)
统计分类 (17)
强化学习 (13)
代数 (10)
贝叶斯定理 (10)
线性代数 (10)
线性回归 (9)
Numpy (9)

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