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    Results for "advanced machine learning"

    • Status: New
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      P

      Packt

      Mastering Azure Databricks for Data Engineers

      Skills you'll gain: Databricks, CI/CD, Real Time Data, Data Governance, Apache Spark, Microsoft Azure, Data Lakes, Continuous Integration, Data Architecture, Continuous Deployment, Data Management, Big Data, Integration Testing, Automation, Data Infrastructure, Data Pipelines, Data Security, Command-Line Interface, Data Processing, Software Design

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Delegation Skills, Unsupervised Learning, Sampling (Statistics), Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Goal Setting, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
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      IBM

      Build Multimodal Generative AI Applications

      Skills you'll gain: Generative AI, OpenAI, Image Analysis, Application Development, Artificial Intelligence, Prompt Engineering, Natural Language Processing, Web Applications, Computer Vision, Flask (Web Framework)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Automation and Project Implementation in Azure Databricks

      Skills you'll gain: CI/CD, Databricks, Microsoft Azure, Continuous Integration, Data Architecture, Continuous Deployment, Integration Testing, Automation, Data Security, Command-Line Interface, Data Processing, Software Design, Data Pipelines, Cloud API, GitHub, Cloud Storage

      Intermediate · Course · 1 - 4 Weeks

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

      Whizlabs

      Design and Implement Processes and Communications

      Skills you'll gain: Azure DevOps, DevOps, Agile Methodology, Continuous Delivery, Collaborative Software, Process Driven Development, Microsoft Azure, Continuous Integration, Application Performance Management, Version Control

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Modern HTML & CSS From The Beginning 2.0

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), Web Development Tools, Hypertext Markup Language (HTML), Web Design, Version Control, GitHub, Front-End Web Development, Web Development, Development Environment, Web Design and Development, Javascript, Mobile Development, Application Deployment, Animations, Semantic Web, User Interface (UI), Typography

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
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      Packt

      Developing RAG Apps with LlamaIndex and JS

      Skills you'll gain: Full-Stack Web Development, JavaScript Frameworks, Node.JS, Application Development, Data Maintenance, Restful API, Web Applications, Development Environment, Large Language Modeling, OpenAI, Generative AI, API Design, Application Deployment, Data Storage, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Time Series Forecasting with Facebook Prophet in Python

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Predictive Modeling, Data Manipulation, Anomaly Detection, Pandas (Python Package), Exploratory Data Analysis, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Board Infinity

      Effective Code Review Practices

      Skills you'll gain: Test Automation, Test Tools, Code Review, Software Testing, Scripting, CI/CD, Software Technical Review, Test Planning, Maintainability, Test Case, Automation, Scalability

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
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      Free Trial
      P

      Packt

      ASP.NET Core MVC [.NET 8] - The Complete Guide

      Skills you'll gain: ASP.NET, Model View Controller, .NET Framework, Application Deployment, Order Management, Authorization (Computing), Object-Relational Mapping, Data Store, User Accounts, Database Management, Authentications, Full-Stack Web Development, Order Processing, Web Development, User Interface and User Experience (UI/UX) Design, Microsoft Azure, User Interface (UI), Software Architecture, E-Commerce, Role-Based Access Control (RBAC)

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      A Complete Reinforcement Learning System (Capstone)

      Skills you'll gain: Reinforcement Learning, Solution Architecture, Artificial Intelligence, Performance Testing, Artificial Neural Networks, Machine Learning Algorithms, Markov Model, Algorithms, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      641 reviews

      Intermediate · Course · 1 - 3 Months

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

      Case Western Reserve University

      Using R for Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Statistical Analysis, Data Import/Export, Simulations

      Intermediate · Course · 1 - 3 Months

    Searches related to advanced machine learning

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    1…505152…515

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

    • Mastering Azure Databricks for Data Engineers: Packt
    • Master of Science in Data Science: University of Colorado Boulder
    • Build Multimodal Generative AI Applications: IBM
    • Automation and Project Implementation in Azure Databricks: Packt
    • Design and Implement Processes and Communications: Whizlabs
    • Modern HTML & CSS From The Beginning 2.0: Packt
    • Developing RAG Apps with LlamaIndex and JS: Packt
    • Time Series Forecasting with Facebook Prophet in Python: Packt
    • Effective Code Review Practices: Board Infinity
    • ASP.NET Core MVC [.NET 8] - The Complete Guide: Packt

    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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