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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: New
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    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

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

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

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    U

    University of Alberta

    Fundamentals of Reinforcement Learning

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

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Illinois Urbana-Champaign

    Machine Learning and Human Learning

    Skills you'll gain: Education Software and Technology, Supervised Learning, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Digital pedagogy, Artificial Intelligence, AI Enablement, Data Mining, Learning Theory, Human Computer Interaction, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

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    Nanyang Technological University, Singapore

    Introduction to Forensic Science

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

    4.9
    Rating, 4.9 out of 5 stars
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    2.8K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Embedded Systems Software and Development Environments

    Skills you'll gain: Software Configuration Management, Embedded Software, Embedded Systems, Git (Version Control System), Version Control, Build Tools, Software Development Tools, C (Programming Language), Development Environment, Software Technical Review, Software Design, Hardware Architecture, Computer Architecture, Debugging

    4.5
    Rating, 4.5 out of 5 stars
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    645 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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, Marketing Strategy and Techniques, Marketing Channel, Digital Media Strategy, Policy Development, Instagram, Digital Marketing

    4.8
    Rating, 4.8 out of 5 stars
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    16K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Agile Development and Scrum

    Skills you'll gain: Agile Software Development, Agile Methodology, Kanban Principles, Agile Project Management, User Story, Sprint Retrospectives, Sprint Planning, Workflow Management, Performance Metric, Team Oriented, Backlogs, Performance Measurement, Lean Methodologies, Continuous Improvement Process, Prioritization, Estimation

    4.9
    Rating, 4.9 out of 5 stars
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    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    78 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, AI Workflows, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    NVIDIA

    Introduction to Networking

    Skills you'll gain: OSI Models, TCP/IP, Data Centers, Network Protocols, Network Infrastructure, Local Area Networks, General Networking, Network Architecture, Computer Networking, Network Planning And Design, Network Switches, System Requirements

    4.6
    Rating, 4.6 out of 5 stars
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    673 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Machine Learning and Human Learning: University of Illinois Urbana-Champaign
  • Introduction to Forensic Science: Nanyang Technological University, Singapore
  • Introduction to Embedded Systems Software and Development Environments: University of Colorado Boulder
  • Introduction to Social Media Marketing: Meta
  • Introduction to Agile Development and Scrum: IBM
  • Deep Learning with PyTorch: IBM
  • Structuring Machine Learning Projects: DeepLearning.AI
  • SAS Machine Learning Engineer: SAS

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