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    Results for "introduction to machine learning"

    • 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
      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
      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
      ·
      582 reviews

      Intermediate · 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: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Machine Learning Algorithms, Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Decision Tree Learning, Feature Engineering, Classification And Regression Tree (CART), Python Programming, Statistical Modeling, Regression Analysis, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      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
      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

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Generative AI, Software Development Life Cycle, Software Architecture, ChatGPT, Web Development Tools, Responsive Web Design, Development Environment, Generative AI Agents, Software Design, Large Language Modeling, Software Engineering, Flask (Web Framework), Software Development Methodologies, Software Design Patterns, Jupyter, Professional Networking, Python Programming, 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
      Status: AI skills
      AI skills
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Generative AI, Tensorflow, Statistical Methods, Image Analysis, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Probability & Statistics, Supervised Learning, Python Programming, Machine Learning Algorithms, Natural Language Processing, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.9K reviews

      Intermediate · Professional Certificate · 3 - 6 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, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Natural Language Processing, Unsupervised Learning, Machine Learning, Machine Learning Algorithms, Regression Analysis

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

      Intermediate · Course · 1 - 3 Months

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

    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Deep Learning: DeepLearning.AI
    • Applied Machine Learning: Johns Hopkins University
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • Applied Machine Learning in Python: University of Michigan
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Exploratory Data Analysis for Machine Learning: IBM
    • IBM AI Developer: IBM

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