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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    816 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    M

    Macquarie University

    Artificial Intelligence (AI) Education for Teachers

    Skills you'll gain: Data Ethics, Responsible AI, Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML), Data Literacy, Digital pedagogy, Data-Driven Decision-Making, Machine Learning, Data Quality, Computer Science, Computer Programming, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    941 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data

    4.1
    Rating, 4.1 out of 5 stars
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    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Validate LLM Embeddings for Production Use

    Skills you'll gain: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, E-Commerce, Data Validation, Unsupervised Learning, Data Manipulation, Benchmarking, Dimensionality Reduction, Cost Reduction

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
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    339 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    P

    Packt

    Mastering spaCy

    Skills you'll gain: Large Language Modeling, Model Deployment, Natural Language Processing, Application Deployment, Transfer Learning, Embeddings, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Processing, Application Programming Interface (API), Model Evaluation, Automation, Software Installation

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
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    137 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    C

    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    A

    AI CERTs

    AI for Medical Professionals

    Skills you'll gain: AI Personalization, Applied Machine Learning, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM AI Product Manager

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Generative Model Architectures, Product Development, Innovation, ChatGPT, Product Roadmaps, Usability Testing, Product Planning, Responsible AI, Commercialization, Artificial Intelligence, Product Strategy, Project Management Life Cycle, OpenAI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • NoSQL, Big Data, and Spark Foundations: IBM
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Artificial Intelligence (AI) Education for Teachers: Macquarie University
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Validate LLM Embeddings for Production Use: Coursera
  • Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera
  • Mastering spaCy: Packt
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Detect AI Anomalies: Real-Time Outliers: Coursera

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