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  • Machine Learning Techniques

Results for "machine learning techniques"


  • T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • 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, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Feature Engineering, Statistical Analysis, Jupyter, Regression Analysis, Data Preprocessing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Machine Learning Fundamentals for Java Developers

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Model Deployment, Data Pipelines, Data Preprocessing, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning

    3.7
    Rating, 3.7 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Machine Learning and Emerging Technologies in Cybersecurity

    Skills you'll gain: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

1…678…834

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

  • Machine Learning: Concepts and Applications: The University of Chicago
  • Advanced Machine Learning Algorithms: Fractal Analytics
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Foundations of Machine Learning : Fractal Analytics
  • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
  • Machine Learning Fundamentals for Java Developers: Board Infinity

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