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    Results for "introduction to machine learning"

    • R

      Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Manipulation, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Breast Cancer Prediction Using Machine Learning

      Skills you'll gain: Data Cleansing, Data Processing, Applied Machine Learning, Data Import/Export, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      44 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Amsterdam

      Introduction to Communication Science

      Skills you'll gain: Culture, Interpersonal Communications, Media and Communications, Liberal Arts, Social Studies, Research, Ancient History, Anthropology, European History, Qualitative Research, Research Methodologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Mixed · Course · 1 - 4 Weeks

    • 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
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Unsupervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Introduction to Sustainability

      Skills you'll gain: Environmental Policy, Environment, Water Resources, Demography, Energy and Utilities, Environmental Science, Environmental Resource Management, Socioeconomics, Policy Analysis, Natural Resource Management, Systems Thinking, Social Sciences, Trend Analysis, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Introduction to Marketing

      Skills you'll gain: Go To Market Strategy, Branding, Consumer Behaviour, Strategic Marketing, Marketing, Brand Strategy, Communication Strategies, Marketing Strategy and Techniques, Marketing Communications, Brand Loyalty, Customer experience strategy (CX), Customer Insights, Brand Awareness, Price Negotiation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13K reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Forecasting, Data Processing, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Cybersecurity Careers

      Skills you'll gain: Cybersecurity, Technical Support and Services, Information Technology, Network Security, Cyber Security Strategy, Data Security, Computer Security Awareness Training, Cyber Security Policies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      645 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to introduction to machine learning

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    1…789…834

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

    • Introduction to Data Analysis Using Excel: Rice University
    • Breast Cancer Prediction Using Machine Learning: Coursera Project Network
    • Introduction to Communication Science: University of Amsterdam
    • Fundamentals of Reinforcement Learning: University of Alberta
    • Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
    • Introduction to Sustainability: University of Illinois Urbana-Champaign
    • Introduction to Marketing: University of Pennsylvania
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Introduction to Data Science in Python: University of Michigan
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London

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