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Results for "machine learning foundations"

  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Pearson

    AWS Certified AI Practitioner (AIF-C01)

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, AWS SageMaker, Artificial Intelligence, Data Ethics, Application Deployment, Large Language Modeling, Amazon Web Services, Machine Learning, MLOps (Machine Learning Operations), Business Solutions, Technology Strategies, Infrastructure Security, Governance, Data Security, Business Metrics

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI: Build Next-Gen AI Systems

    Skills you'll gain: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Responsible AI, Generative AI Agents, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Deployment, Application Development, Large Language Modeling, UI Components, Semantic Web, Artificial Intelligence, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    451 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep DP-100: Microsoft Azure Data Scientist Associate

    Skills you'll gain: Responsible AI, Statistical Modeling, MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Data Management, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Statistics, Cloud Computing, Application Deployment, Azure Synapse Analytics, Large Language Modeling, Data Pipelines, Generative AI, Data Processing, Machine Learning, Applied Machine Learning, Scalability, Continuous Monitoring

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business

    Skills you'll gain: Microsoft Excel, Dashboard, Excel Formulas, Spreadsheet Software, Data Visualization, Excel Macros, Data Validation, Data Cleansing, Data Analysis Expressions (DAX), Data Modeling, Financial Forecasting, Data Management, Business Intelligence Software, Consolidation, Data Integrity, Data Entry, Business Reporting, Productivity Software, Financial Modeling, Loans

    4.9
    Rating, 4.9 out of 5 stars
    ·
    63K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    74 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Finding Purpose and Meaning In Life: Living for What Matters Most

    Skills you'll gain: Goal Setting, Self-Awareness, Stress Management, Personal Development, Lifelong Learning, Compassion, Mindfulness, Mental Health, Ethical Standards And Conduct

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Pipelines, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Tensorflow, Dataflow, Data Pipelines, Google Cloud Platform, Data Import/Export, Feature Engineering, Dashboard, Applied Machine Learning, Apache Spark, Looker (Software), Cloud Storage, Real Time Data, Big Data, Data Warehousing, Data Lakes, Cloud Engineering, MLOps (Machine Learning Operations), PySpark, Unstructured Data, Cloud Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    289 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Tensorflow, Dataflow, Real Time Data, Cloud Engineering, Data Lakes, Query Languages, Apache Spark, SQL, Data Infrastructure, Big Data, Applied Machine Learning, Data Processing, Data Warehousing, Extract, Transform, Load, MLOps (Machine Learning Operations), Feature Engineering, PySpark, Unstructured Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    812 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to machine learning foundations

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1…127128129…541

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

  • Introduction to RNN and DNN: Packt
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • AWS Certified AI Practitioner (AIF-C01): Pearson
  • IBM RAG and Agentic AI: Build Next-Gen AI Systems: IBM
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Exam Prep DP-100: Microsoft Azure Data Scientist Associate: Whizlabs
  • Excel Skills for Business: Macquarie University
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Finding Purpose and Meaning In Life: Living for What Matters Most: University of Michigan
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs

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