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    Results for "introduction to machine learning"

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Probability & Statistics, Integral Calculus, Machine Learning Methods, Statistical Analysis, Statistics, Advanced Mathematics, Jupyter, Machine Learning Algorithms, Data Science, Mathematical Modeling, Applied Mathematics, Geometry, Artificial Neural Networks, Python Programming, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cybersecurity Essentials

      Skills you'll gain: Cybersecurity, Cyber Attacks, Email Security, Network Security, Application Security, Computer Security Awareness Training, Authentications, Encryption, Authorization (Computing), Security Awareness, Data Security, Technical Support and Services, Identity and Access Management, Windows Servers, Firewall, Threat Management, Malware Protection, Hardening, Cryptography, Multi-Factor Authentication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      990 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to DevOps

      Skills you'll gain: DevOps, Infrastructure as Code (IaC), Continuous Delivery, Cloud-Native Computing, Test Driven Development (TDD), Continuous Integration, Behavior-Driven Development, CI/CD, Code Review, Culture Transformation, Microservices, Agile Methodology, Organizational Structure

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Feature Engineering, Unsupervised Learning, Applied Machine Learning, Reinforcement Learning, Machine Learning Algorithms, Supervised Learning, Computer Vision, Image Analysis, Regression Analysis, Decision Tree Learning, Data Processing, Classification And Regression Tree (CART), Machine Learning, Predictive Modeling, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Data Cleansing, Deep Learning, Random Forest Algorithm

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Business Foundations

      Skills you'll gain: Operations Management, Operational Efficiency, Process Management, Capacity Planning, Process Analysis, Finance, Process Improvement, Capital Budgeting, Return On Investment, Go To Market Strategy, Accrual Accounting, Financial Reporting, Product Development, Financial Accounting, Marketing Strategies, Branding, Marketing, Human Capital, Decision Making, Corporate Finance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Regulatory Compliance, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

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

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

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Image Analysis, Machine Learning Algorithms, Deep Learning, Machine Learning, Python Programming, Computer Vision, Artificial Neural Networks, Data Processing, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Generative AI, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), CI/CD, Apache Airflow, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Continuous Integration, Data Governance, Data Pipelines, Dataflow, Kubernetes, Systems Architecture, Systems Design, Cloud Computing Architecture, Cloud Computing, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.9K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Technology Strategies, Business Intelligence, Data Ethics, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Sampling (Statistics), Supervised Learning, Deep Learning, System Design and Implementation, Markov Model, Algorithms, Simulations, Feature Engineering, Artificial Neural Networks, Game Design, Statistical Methods, Virtual Environment, Performance Tuning, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

      Skills you'll gain: Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Feature Engineering, Regression Analysis, Machine Learning Algorithms, Random Forest Algorithm, Data Processing, Data Analysis, Data Collection, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Mathematics for Machine Learning: Imperial College London
    • Introduction to Cybersecurity Essentials: IBM
    • Introduction to DevOps: IBM
    • Applied Machine Learning: Johns Hopkins University
    • Business Foundations: University of Pennsylvania
    • Introduction to Generative AI Learning Path: Google Cloud
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Introduction to Machine Learning with Python: Arizona State University
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • AI For Everyone: DeepLearning.AI

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