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  • Machine Learning Application

Results for "machine+learning+application"


  • Status: Trending in AI
    Trending in AI
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    38K reviews

    Beginner · Specialization · 1 - 3 Months

  • D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    598 reviews

    Advanced · Specialization · 3 - 6 Months

  • S

    SkillUp

    Machine Learning for Healthcare Applications

    Skills you'll gain: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Keras (Neural Network Library), Unsupervised Learning, Apache Hadoop, Data Preprocessing, Data Science, Machine Learning, Tensorflow, Data Mining, Tidyverse (R Package), Regression Analysis, Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Deploying and Debugging ML Microservices

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Debugging, Unit Testing, Software Testing, System Monitoring, Docker (Software), Software Architecture, Kubernetes, Restful API, CI/CD, Scalability, Systems Architecture, Service Oriented Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • C

    Coursera

    Machine Learning Made Easy for Software Engineers

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Extract, Transform, Load, Data Transformation, System Monitoring, Debugging, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Apply Machine Learning for Predictive Business Analytics

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    44 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of London

    Machine Learning for All

    Skills you'll gain: Data Preprocessing, Machine Learning, Artificial Intelligence, Model Evaluation, Data Analysis, Image Analysis, Data Collection, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Trending in AI
    Trending in AI
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

1234…9

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

  • Machine Learning: DeepLearning.AI
  • MLOps | Machine Learning Operations: Duke University
  • Machine Learning for Healthcare Applications: SkillUp
  • Machine Learning with R: Packt
  • Deploying and Debugging ML Microservices: Coursera
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Machine Learning Made Easy for Software Engineers: Coursera
  • Machine Learning on Google Cloud: Google Cloud
  • Apply Machine Learning for Predictive Business Analytics: EDUCBA
  • AI and Machine Learning Essentials with Python: University of Pennsylvania

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