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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
      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
      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
      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
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Feature Engineering, Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Science, Artificial Intelligence, Statistical Analysis, Data Transformation, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Financial Accounting

      Skills you'll gain: Accrual Accounting, Financial Reporting, Financial Accounting, Financial Statements, Financial Statement Analysis, Cash Flows, Balance Sheet, Accounting, Financial Analysis, Generally Accepted Accounting Principles (GAAP), Bookkeeping, Income Statement, Revenue Recognition

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Cloud Technologies, Microsoft Azure, Data Ethics, Data Pipelines, Pandas (Python Package), Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), CI/CD, Data Manipulation, Cloud Computing, Machine Learning, DevOps, Python Programming, GitHub, Big Data, Data Management, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      491 reviews

      Advanced · Specialization · 3 - 6 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, IBM Cloud, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Cloud Applications, Tensorflow, Machine Learning, Deep Learning, Artificial Intelligence, Visualization (Computer Graphics), Data Processing, Application Deployment, Algorithms

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

      Beginner · Course · 1 - 3 Months

    • 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 Controls, Hardening, Cryptography, Malware Protection, Windows Servers, Network Troubleshooting, Distributed Denial-Of-Service (DDoS) Attacks, Virtual Private Networks (VPN), Authentications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      995 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Probability, A/B Testing, Statistics, Data Science, Statistical Analysis, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      589 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Machine Learning Algorithms, Dimensionality Reduction, Python Programming, Machine Learning, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

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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
    • Applied Machine Learning: Johns Hopkins University
    • Introduction to DevOps: IBM
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Exploratory Data Analysis for Machine Learning: IBM
    • Introduction to Financial Accounting: University of Pennsylvania
    • MLOps | Machine Learning Operations: Duke University
    • Introduction to Computer Vision and Image Processing: IBM
    • Introduction to Cybersecurity Essentials: IBM
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI

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