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  • Fundamental Concepts In Machine Learning

Results for "fundamental+concepts+in+machine+learning"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: 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

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Classification Algorithms, Machine Learning, Applied Machine Learning, Decision Tree Learning, Artificial Neural Networks, Model Evaluation, Dimensionality Reduction, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
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    N

    National Taiwan University

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

    Skills you'll gain: Classification Algorithms, Supervised Learning, Machine Learning, Machine Learning Algorithms, Logistic Regression, Data Validation, Applied Machine Learning, Data Preprocessing, Model Evaluation, Algorithms, Programming Principles, Regression Analysis, Feature Engineering, Statistical Methods

    4.9
    Rating, 4.9 out of 5 stars
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    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

    4.8
    Rating, 4.8 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    42 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Reinforcement Learning, Dimensionality Reduction, Model Evaluation, Classification Algorithms, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    199 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
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    746 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Machine Learning Essentials for Business and Technical Decision Makers

    Skills you'll gain: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Machine Learning Algorithms, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    934 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular fundamental+concepts+in+machine+learning courses

  • Foundations of Data Science and Machine Learning with Python: Packt
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Foundations and Core Concepts of PyTorch: Packt
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • Practical Machine Learning: Johns Hopkins University
  • Machine Learning: an overview: Politecnico di Milano
  • Foundations of ML & Python for Data Science: Packt
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute

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