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  • Machine Learning

Results for "machine learning)"


  • U

    University of London

    Machine Learning for All

    Skills you'll gain: Model Training, Applied Machine Learning, Feature Engineering, Machine Learning Software, Machine Learning, Machine Learning Methods, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, AI literacy, Test Data, Data Collection, Classification Algorithms

    ★ 4.7 (3.5K) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Continuous Deployment, Model Evaluation, Data Preprocessing, Model Optimization, Machine Learning, Applied Machine Learning, Data Validation, Data Integrity, Data Maintenance, Data Quality, Data Synthesis, Data Collection, System Monitoring, Continuous Monitoring, Unstructured Data

    ★ 4.8 (3.4K) · Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization

    ★ 3.4 (16) · Intermediate · Specialization · 3 - 6 Months

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

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots

    ★ 4.6 (685) · Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Model Training, Build Tools, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    ★ 4.8 (13) · Beginner · Specialization · 1 - 3 Months

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

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    ★ 4.6 (2.3K) · Intermediate · Course · 1 - 4 Weeks

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

    LearnQuest

    No-Code Machine Learning and Data Science for Everyone

    Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Data Presentation, Data Analysis, Model Evaluation, Interactive Data Visualization, No-Code Development, Market Data, Business Analytics, Data Science, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Data Ethics, Dashboard Creation, Machine Learning, Predictive Modeling, Data Visualization

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • B

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Ethics, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, CI/CD, Java, Continuous Deployment, Java Programming, Machine Learning Software, Jenkins, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

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

    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • P

    Packt

    Mastering Machine Learning Algorithms using Python

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

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

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1234…647

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

  • Machine Learning for All: University of London
  • Machine Learning in Production: DeepLearning.AI
  • Applied Machine Learning: Johns Hopkins University
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Level Up: Java-Powered Machine Learning: Coursera
  • AI Driven Machine Learning with Python: EDUCBA
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • No-Code Machine Learning and Data Science for Everyone: LearnQuest
  • Java in Machine Learning: Board Infinity
  • Machine Learning with R: Packt

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