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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep DP-100: Microsoft Azure Data Scientist Associate

    Skills you'll gain: Model Deployment, Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Statistical Methods, Prompt Engineering, Data Science, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Cloud Management, Model Evaluation, Data Management, AI Workflows, Azure Synapse Analytics, Cloud Computing, Data Pipelines, Continuous Monitoring, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Clinical Decision Support Systems - CDSS 4

    Skills you'll gain: Model Evaluation, Data Ethics, AI Security, Responsible AI, Healthcare Ethics, Machine Learning, Deep Learning, Information Privacy, Decision Support Systems, Health Informatics, Predictive Modeling, Artificial Intelligence, Human Centered Design, Data Security

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Kubernetes, Infrastructure As A Service (IaaS), Containerization, Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58K reviews

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    GenAI Deployment & Governance

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    Y

    Yale University

    Financial Markets

    Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Financial Policy, Enterprise Risk Management (ERM), Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Investments, Insurance, Underwriting, Derivatives, Market Dynamics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    117 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science Capstone

    Skills you'll gain: Plotly, Predictive Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Machine Learning, Data Science, Business Analytics, Data-Driven Decision-Making, Pandas (Python Package), Data Analysis, Web Scraping, Data Wrangling, Model Evaluation, Python Programming, SQL, GitHub

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Crash Course on Python

    Skills you'll gain: Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud DevOps Engr

    Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Virtual Machines, Safety Culture, Network Monitoring, Culture Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    54K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing

    Intermediate · Specialization · 3 - 6 Months

Searches related to introduction to machine learning

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1…235236237…834

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

  • Exam Prep DP-100: Microsoft Azure Data Scientist Associate: Whizlabs
  • Clinical Decision Support Systems - CDSS 4: University of Glasgow
  • Architecting with Google Compute Engine: Google Cloud
  • GenAI Deployment & Governance: Coursera
  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • Financial Markets: Yale University
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Object Localization with TensorFlow: Coursera
  • Applied Data Science Capstone: IBM
  • Crash Course on Python: Google

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