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    Results for "introduction to machine learning"

    • 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
      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
      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
      I

      IBM

      What is Data Science?

      Skills you'll gain: Data Literacy, Data Mining, Data Analysis, Data Science, Data-Driven Decision-Making, Big Data, Data Management, Analytics, Data Storage, Machine Learning, Deep Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      76K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cybersecurity Essentials

      Skills you'll gain: Cybersecurity, Cyber Attacks, Encryption, Email Security, Application Security, Data Security, Computer Security Awareness Training, Security Awareness, Security Controls, Hardening, Threat Management, Cryptography, Malware Protection, Windows Servers, Network Troubleshooting, Information Privacy, Authentications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Generative AI for Data Scientists

      Skills you'll gain: Generative AI, Microsoft Copilot, Anomaly Detection, Data Storytelling, Natural Language Processing, Technical Communication, Data Transformation, Data Ethics, Data Presentation, Data Visualization, Interactive Data Visualization, Prompt Engineering, Data-Driven Decision-Making, Data Visualization Software, Data Pipelines, Data Quality, Data Science, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Critical Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Engineering

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

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning

      Skills you'll gain: Machine Learning, Applied Machine Learning, Jupyter, Classification And Regression Tree (CART), Regression Analysis, Supervised Learning, Image Analysis, Deep Learning, Unsupervised Learning, Predictive Modeling, Computer Vision, Statistical Machine Learning, Feature Engineering, Data Mining, Text Mining, Natural Language Processing, AI Personalization, Python Programming, Machine Learning Algorithms, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 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

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: MLOps (Machine Learning Operations), Natural Language Processing, Computer Vision, Google Cloud Platform, Large Language Modeling, Reinforcement Learning, Tensorflow, Image Analysis, Applied Machine Learning, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Systems Design, Cloud Computing Architecture, Software Architecture, Cloud API, Hybrid Cloud Computing, Machine Learning, Deep Learning, Machine Learning Algorithms, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Natural Language Processing, Keras (Neural Network Library), Data-Driven Decision-Making, Large Language Modeling, Technical Management, Applied Machine Learning, Machine Learning, Debugging, Supervised Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Machine Learning Algorithms, Test Data

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cybersecurity Tools & Cyberattacks

      Skills you'll gain: Cybersecurity, Incident Response, Malware Protection, Identity and Access Management, Cyber Attacks, Cyber Threat Intelligence, Network Security, Multi-Factor Authentication, Computer Security Incident Management, Security Controls, Security Awareness, Threat Management, Authentications, Threat Detection, Authorization (Computing), Distributed Denial-Of-Service (DDoS) Attacks, Human Factors (Security)

      4.6
      Rating, 4.6 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

    • Introduction to DevOps: IBM
    • Mathematics for Machine Learning: Imperial College London
    • Business Foundations: University of Pennsylvania
    • What is Data Science? : IBM
    • Introduction to Cybersecurity Essentials: IBM
    • Generative AI for Data Scientists: Microsoft
    • Introduction to Data Engineering: IBM
    • Machine Learning: University of Washington
    • Introduction to Machine Learning with Python: Arizona State University
    • Advanced Machine Learning on Google Cloud: Google Cloud

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