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  • Machine Learning Application

Results for "machine learning application"


  • D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Decision Tree Learning, Data Ethics, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    ★ 4.9 (8.7K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Mathematical Theory & Analysis, Probability, Probability & Statistics, Algorithms

    ★ 4.9 (937) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Google Cloud Platform, AI Workflows, Data Management, Data Governance, Machine Learning Methods, Machine Learning Software, Model Optimization, Workflow Management, Data Store, Tensorflow, Data Preprocessing, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Cloud Computing

    ★ 4.6 (1.5K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Deployment, Microsoft Azure, Artificial Intelligence, Applied Machine Learning, Python Programming, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Process Driven Development, Natural Language Processing, Application Programming Interface (API)

    ★ 4.4 (978) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Machine Learning Methods, Model Training, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Model Optimization, Verification And Validation, Linear Algebra, Data Transformation

    ★ 4.9 (331) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Machine Learning Methods, Model Training, Unsupervised Learning, Machine Learning, Data Synthesis, Supervised Learning

    Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms

    ★ 4.5 (98) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • A

    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Performance Management, Applied Machine Learning, Business Strategy, Risk Mitigation, Systems Integration, Stakeholder Communications

    ★ 4.4 (53) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • B

    Board Infinity

    Machine Learning Fundamentals for Java Developers

    Skills you'll gain: Classification Algorithms, Java Programming, Data Preprocessing, Machine Learning Software, Model Training, Model Deployment, Model Evaluation, Decision Tree Learning, Logistic Regression

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    ★ 3.7 (341) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…789…834

In summary, here are 10 of our most popular machine learning application courses

  • Advanced Learning Algorithms: DeepLearning.AI
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Machine Learning in the Enterprise: Google Cloud
  • Developing AI Applications on Azure: LearnQuest
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Machine Learning with Small Data Part 1: Northeastern University
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Machine Learning with Python: Case Studies: EDUCBA
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud

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