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    • Introduction To Machine Learning
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    Results for "introduction to machine learning"

    • Status: Free
      Free
      A

      Amazon Web Services

      Developing Machine Learning Solutions

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Cloud Management, Machine Learning, Applied Machine Learning, Cloud Development, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Introduction to Machine Learning and Algorithmic Bias

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Governance, Data Ethics, Applied Machine Learning, Data Processing, Risk Mitigation, Algorithms, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cybersecurity Essentials

      Skills you'll gain: Cybersecurity, Cyber Attacks, Security Awareness, Hardening, Data Security, Application Security, Computer Security Awareness Training, Network Security, Personally Identifiable Information, Information Systems Security, Security Controls, Threat Management, Malware Protection, Cryptography, Encryption, Multi-Factor Authentication, Authentications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      966 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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, Applied Mathematics, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Statistical Analysis, Artificial Neural Networks, Algorithms, Python Programming, Machine Learning, Derivatives

      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 DevOps

      Skills you'll gain: DevOps, Agile Methodology, Cloud-Native Computing, CI/CD, Test Driven Development (TDD), Scrum (Software Development), Behavior-Driven Development, Performance Metric, Accountability, Team Oriented, Culture Transformation, Microservices, Cross-Functional Collaboration

      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), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Engineering

      Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Predictive Modeling, Text Mining, Forecasting, Data Processing, Machine Learning, Supervised Learning

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

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Software Architecture, Large Language Modeling, Responsive Web Design, Restful API, ChatGPT, Flask (Web Framework), Generative AI, Software Design, Cascading Style Sheets (CSS), Jupyter, Scrum (Software Development), Application Deployment, Software Engineering, Software Design Patterns, Python Programming, Engineering Software, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Image Analysis, Data Manipulation, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Applied Machine Learning, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Neural Networks, Deep Learning, Cloud Applications, Machine Learning, Visualization (Computer Graphics), Application Deployment, Programming Principles, Algorithms

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Business Foundations

      Skills you'll gain: Operations Management, Return On Investment, Operational Efficiency, Financial Statements, Financial Statement Analysis, Finance, Human Capital, Go To Market Strategy, Process Analysis, Branding, Process Management, People Management, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Marketing, Marketing Planning, Peer Review, Corporate Finance

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

      Beginner · Specialization · 3 - 6 Months

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

    • Developing Machine Learning Solutions: Amazon Web Services
    • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
    • Introduction to Cybersecurity Essentials: IBM
    • Mathematics for Machine Learning: Imperial College London
    • Introduction to DevOps: IBM
    • Applied Machine Learning: Johns Hopkins University
    • Introduction to Data Engineering: IBM
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • IBM AI Developer: IBM
    • IBM AI Engineering: IBM

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