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    Results for "advanced machine learning"

    • Status: New
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      IBM

      IBM UI/UX Designer

      Skills you'll gain: UI/UX Research, Agile Software Development, User Experience, Wireframing, User Centered Design, Usability, Responsive Web Design, Agile Methodology, Design Thinking, Kanban Principles, User Flows, User Experience Design, UI Components, Figma (Design Software), Agile Project Management, Usability Testing, Prototyping, Interaction Design, User Story, User Interface (UI) Design

      4.9
      Rating, 4.9 out of 5 stars
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      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
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      Coursera Instructor Network

      Public Health Principles: Systems and Strategies

      Skills you'll gain: Health Policy, Public Health, Public Health and Disease Prevention, Systems Thinking, Program Evaluation, Health Systems, Health Care Administration, Health Equity, Epidemiology, Policy Analysis, Community Health, Media and Communications, Emergency Response

      Intermediate · Course · 1 - 4 Weeks

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      Packt

      MongoDB Tutorial for Beginners (2024)

      Skills you'll gain: MongoDB, NoSQL, MySQL, Database Development, SQL, Software Installation, Database Management, Databases, Database Design, Relational Databases, Data Management, Data Structures

      Beginner · Course · 1 - 3 Months

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      Packt

      Intro to AWS - Your First Steps in Cloud Computing

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon S3, Amazon Web Services, Amazon Elastic Compute Cloud, Databases, Cloud Infrastructure, Cloud Computing, Amazon DynamoDB, CI/CD, Infrastructure as Code (IaC), Public Cloud, Containerization, Cloud Storage, Serverless Computing, Scalability

      Beginner · Course · 1 - 3 Months

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      Packt

      Cisco CyberOps Associate (200-201)

      Skills you'll gain: Cyber Operations, Intrusion Detection and Prevention, Cybersecurity, Cyber Security Assessment, Security Controls, Threat Modeling, Incident Response, Risk Management Framework, Continuous Monitoring, Network Security, Threat Detection, Event Monitoring, Network Analysis, Firewall, Data Integrity

      Intermediate · Course · 1 - 3 Months

    • Status: New
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      Packt

      Foundations of Modern HTML & CSS

      Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Responsive Web Design, Web Development Tools, Hypertext Markup Language (HTML), Web Design, Development Environment, Web Design and Development, Web Development, Front-End Web Development, Semantic Web, Web Content Accessibility Guidelines, Typography

      Beginner · Course · 1 - 3 Months

    • Status: New
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      DeepLearning.AI

      Data I/O and Preprocessing with Python and SQL

      Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Validation, Data Processing, Data Ethics, Data Cleansing, SQL, Data Transformation, JSON, Pandas (Python Package), Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

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      University of Colorado Boulder

      Sensors for a Carbon Free World

      Skills you'll gain: Electrical Power, Power Electronics, Torque (Physics), Electrical Systems, Electronic Components, Electric Power Systems, Electrical Equipment, Basic Electrical Systems, Semiconductors, Electrical Engineering, Mechanical Engineering, Control Systems, Electronics, Low Voltage, High Voltage, Energy and Utilities, Machine Controls, Electronics Engineering, System Monitoring, Structural Analysis

      4.4
      Rating, 4.4 out of 5 stars
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      68 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
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      Coursera Instructor Network

      AI for Customer Experience with Chatbots and Analytics

      Skills you'll gain: Customer experience strategy (CX), AI Personalization, Customer Engagement, Predictive Analytics, Personalized Service, ChatGPT, Customer Service, Customer Insights, Loyalty Programs, Self Service Technologies, Data-Driven Decision-Making, Automation, Business Ethics, Artificial Intelligence, Generative AI, Return On Investment

      Intermediate · Course · 1 - 4 Weeks

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      IBM

      Generative AI for Java and Spring Developers

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, ChatGPT, Restful API, Spring Framework, Data Ethics, Natural Language Processing, OpenAI, Application Deployment, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Application Programming Interface (API), Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
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      Packt

      Entity Framework Core - A Full Tour

      Skills you'll gain: Stored Procedure, Object-Relational Mapping, Microsoft SQL Servers, SQL, Database Management, Database Design, Performance Tuning, Relational Databases, Data Modeling, Query Languages, .NET Framework, ASP.NET, Development Environment, Data Access, C# (Programming Language), Data Migration, Microsoft Visual Studio

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
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      Packt

      Mastering Java - From Beginner to Intermediate

      Skills you'll gain: IntelliJ IDEA, Java, Object Oriented Programming (OOP), Integrated Development Environments, Software Development Life Cycle, Program Development, Java Programming, Computer Programming, Development Environment, Data Structures, Debugging, Software Development, Programming Principles, Linux, Command-Line Interface

      Intermediate · Specialization · 1 - 3 Months

    Searches related to advanced machine learning

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    1…575859…516

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

    • IBM UI/UX Designer: IBM
    • Public Health Principles: Systems and Strategies : Coursera Instructor Network
    • MongoDB Tutorial for Beginners (2024): Packt
    • Intro to AWS - Your First Steps in Cloud Computing: Packt
    • Cisco CyberOps Associate (200-201): Packt
    • Foundations of Modern HTML & CSS: Packt
    • Data I/O and Preprocessing with Python and SQL: DeepLearning.AI
    • Sensors for a Carbon Free World: University of Colorado Boulder
    • AI for Customer Experience with Chatbots and Analytics: Coursera Instructor Network
    • Generative AI for Java and Spring Developers: IBM

    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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