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    Results for "advanced machine learning"

    • Status: New
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      Packt

      Advanced Docker - Data Persistence and Orchestration

      Skills you'll gain: Docker (Software), Web Applications, Containerization, Development Environment, Devops Tools, CI/CD, YAML, Service Management, Data Storage, Network Planning And Design, Data Management, Command-Line Interface, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
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      Packt

      Blender Foundations & Tavern Structure Modeling

      Skills you'll gain: 3D Modeling, Computer Graphics, Technical Design, Visualization (Computer Graphics), Prototyping, Design Elements And Principles

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      A

      Arm

      Teaching AI on the Edge

      Skills you'll gain: Open Source Technology, Data Ethics, Artificial Intelligence, Education Software and Technology, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Program Development, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Application Deployment, Law, Regulation, and Compliance, Information Privacy, Performance Tuning, Data Security

      Beginner · Course · 1 - 3 Months

    • Status: New
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      Board Infinity

      Advanced Kotlin for Multi-Platform Development

      Skills you'll gain: Java Programming, Java, System Programming, OS Process Management, Debugging, Application Performance Management, Software Design Patterns, Operating Systems, Application Development, Algorithms, Development Testing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
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      Google

      Use AI as a Creative or Expert Partner

      Skills you'll gain: Prompt Engineering, Generative AI Agents, ChatGPT, AI Personalization, Generative AI, Artificial Intelligence, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      73 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      Coursera Instructor Network

      GenAI for Patient Care Coordinators and Case Management

      Skills you'll gain: Generative AI Agents, ChatGPT, Generative AI, Patient Coordination, Practice Management Software, Care Coordination, Case Management, Health Technology, Technology Roadmaps, Health Care Administration, Medical History Documentation, Prompt Engineering, Health Information Management and Medical Records, Change Control, Business Process Automation, Automation, Software As A Service

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
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      Snowflake

      Advanced Data Engineering with Snowflake

      Skills you'll gain: Database Management, Databases, Data Pipelines, DevOps, CI/CD, Command-Line Interface, Version Control, System Monitoring, Continuous Monitoring

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Employee Engagement: Driving Real-Time Insights

      Skills you'll gain: Employee Engagement, Drive Engagement, HR Tech, People Analytics, AI Personalization, Generative AI, Employee Surveys, Human Resource Strategy, Employee Retention, Data Ethics, Real Time Data, Human Resources, User Feedback, Continuous Improvement Process

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Query Languages, Natural Language Processing, Data Integration, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Account Managers: Personalizing Client Engagement

      Skills you'll gain: Account Management, Client Services, AI Personalization, Customer Engagement, Generative AI Agents, Customer Communications Management, Personalized Service, Customer Insights, Prompt Engineering, Communication, ChatGPT, Scalability, HubSpot CRM, Predictive Modeling, Business Process Automation, Business Ethics, Workflow Management, Automation

      Intermediate · Course · 1 - 4 Weeks

    Searches related to advanced machine learning

    advanced machine learning algorithms
    advanced machine learning and deep learning
    advanced machine learning on google cloud
    advanced ai and machine learning techniques and capstone
    advanced methods in machine learning applications
    1…434445…513

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

    • Advanced Docker - Data Persistence and Orchestration: Packt
    • Blender Foundations & Tavern Structure Modeling: Packt
    • Teaching AI on the Edge: Arm
    • Advanced Kotlin for Multi-Platform Development: Board Infinity
    • Probabilistic Graphical Models: Stanford University
    • Use AI as a Creative or Expert Partner: Google
    • GenAI for Patient Care Coordinators and Case Management: Coursera Instructor Network
    • Advanced Data Engineering with Snowflake: Snowflake
    • GenAI for Employee Engagement: Driving Real-Time Insights: Coursera Instructor Network
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego

    Frequently Asked Questions about Advanced Machine Learning

    Advanced machine learning is a field of computer science that looks at how to improve computing power by allowing programs to learn as they run, without additional programming. It is a form of artificial intelligence. Advanced machine learning calls for sophisticated programming that includes statistical analysis and generative adversarial networks to find the best path to learning.‎

    Typical careers that use advanced machine learning are in data engineering, data science, and computer programming. These are fields where work with big data sets is expected to increase. Advanced machine learning is also widely used in algorithmic trading and finance, so people who want to work in financial markets may want to learn it. Advanced machine learning is a field that is expected to grow as more computing environments include some aspects of machine learning. Management careers that involve data analysis, strategic planning, and prediction are easier when the programs can learn about the data involved.‎

    Online courses can help you learn advanced machine learning through courses, Specializations, and Professional Certificates offered by universities and by software companies. Courses in Apache Spark, Keras, TensorFlow, MongoDb, and PySpark, among other packages, can help you learn how machine learning works in specific programming environments. Other classes cover the math and statistics needed to understand the underlying logic. Despite the name, not all courses are at an advanced level, although beginner courses in advanced machine learning call for background knowledge. Specializations and Guided Projects help you demonstrate your knowledge and test what you know.‎

    You'll want to make sure you have a strong foundation of machine learning fundamentals before moving onto advanced concepts and classes. It's helpful to know the fundamentals of scalable data science and mathematics, including linear algebra and multivariate calculus. Programming, especially in Python, is also recommended, as is basic knowledge of SQL. ‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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