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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Free Trial
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    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Science, Data Warehousing, Data Visualization, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Risking, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universiteit Leiden

    Miracles of Human Language: An Introduction to Linguistics

    Skills you'll gain: Language Competency, Language Learning, Language Disorders, Anthropology, Multilingualism, English Language, Communication Disorders, Cultural Diversity, Oral Comprehension, Interviewing Skills, Vocabulary, Grammar, Interpersonal Communications, Cultural Sensitivity, Social Sciences, Sociology, Research Methodologies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
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    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Jupyter, Machine Learning Algorithms, IBM Cloud, Deep Learning, Cloud Development, Object Oriented Programming (OOP)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Nanyang Technological University, Singapore

    Introduction to Forensic Science

    Skills you'll gain: Criminal Investigation and Forensics, Scientific Methods, Chemistry, Investigation, Case Studies, Biochemistry, Analytical Chemistry, Pharmacology, Laboratory Testing, Hematology, Pathology, Molecular Biology

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.8K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning and Human Learning

    Skills you'll gain: Supervised Learning, Machine Learning, Applied Machine Learning, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, Data Mining, Mobile Development, Human Computer Interaction, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Social Media Marketing

    Skills you'll gain: Social Media Marketing, Social Media, Target Audience, Smart Goals, Social Media Strategy, Marketing, Key Performance Indicators (KPIs), Facebook, Customer Analysis, Marketing Strategies, Marketing Channel, Digital Media Strategy, Instagram, Digital Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16K reviews

    Beginner · Course · 1 - 3 Months

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

  • Interpretable Machine Learning: Duke University
  • Introduction to Data Analytics: IBM
  • Machine Learning: Classification: University of Washington
  • Miracles of Human Language: An Introduction to Linguistics: Universiteit Leiden
  • Machine Learning: Regression: University of Washington
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Introduction to Statistics: Stanford University
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Introduction to Computer Vision and Image Processing: IBM
  • Introduction to Forensic Science: Nanyang Technological University, Singapore

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