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    Results for "introduction to machine learning"

    • C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Predictive Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Data Processing, Microsoft Azure, Data Cleansing, Feature Engineering, Data Manipulation, Data Analysis, Supervised Learning, Data Science, Data Pipelines, MLOps (Machine Learning Operations), Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      809 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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
      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 Essentials

      Skills you'll gain: Encryption, Cybersecurity, Cyber Attacks, Authentications, Computer Security Awareness Training, Data Integrity, Network Security, Application Security, Data Security, Authorization (Computing), Windows Servers, Malware Protection, Cryptography, Security Controls, Technical Support, Hardening, Threat Detection, Vulnerability Assessments, Multi-Factor Authentication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      984 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      2.3K reviews

      Intermediate · 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, Graph Theory, 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 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
      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

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Cloud Applications, Artificial Neural Networks, Applied Machine Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Deep Learning, Visualization (Computer Graphics), Machine Learning Algorithms, Tensorflow, Supervised Learning, Data Processing, Computer Programming, Application Deployment, Verification And Validation, 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

      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
      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
      ·
      9.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Machine Learning, Computer Vision, Natural Language Processing, Anomaly Detection, Image Analysis, Regression Analysis, Network Architecture

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

      Intermediate · Course · 1 - 3 Months

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    1234…834

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

    • Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
    • Introduction to DevOps: IBM
    • Deep Learning: DeepLearning.AI
    • Introduction to Cybersecurity Essentials: IBM
    • Exploratory Data Analysis for Machine Learning: IBM
    • Mathematics for Machine Learning: Imperial College London
    • Introduction to Data Engineering: IBM
    • Applied Machine Learning: Johns Hopkins University
    • Introduction to Computer Vision and Image Processing: IBM
    • What is Data Science? : IBM

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