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    Results for "advanced machine learning"

    • Status: Free Trial
      Free Trial
      G

      Google

      Automate Cybersecurity Tasks with Python

      Skills you'll gain: Debugging, Python Programming, Cybersecurity, Cyber Security Assessment, Scripting, Programming Principles, Algorithms, Automation, Integrated Development Environments, File Management, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Data Science, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Leeds

      Fundamental Skills in Engineering Design

      Skills you'll gain: Engineering Design Process, Engineering Management, Product Lifecycle Management, Product Design, Product Development, Engineering Practices, New Product Development, Product Requirements, Conceptual Design, Safety Assurance, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      181 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Learn to Program: The Fundamentals

      Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Data Structures, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Being a Teacher

      Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Instructional Strategies, Course Development, Student Engagement, Working With Children, Professional Development, Self-Awareness, Cultural Diversity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Active Listening: Enhancing Communication Skills

      Skills you'll gain: Active Listening, Non-Verbal Communication, Cultural Diversity, Conflict Management, Emotional Intelligence, Empathy, Interpersonal Communications, Leadership, Rapport Building, Collaboration, Communication, Self-Awareness, Adaptability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      485 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Introduction to Student Assessment

      Skills you'll gain: Constructive Feedback, Teaching, Education and Training, Curriculum Planning, Student Engagement, Quality Assessment, Surveys, Instructional Strategies, Peer Review, Performance Reporting, Reliability

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Introduction to AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Software, Machine Learning, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      518 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The University of Sydney

      Introduction to Calculus

      Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Applied Mathematics, Engineering Calculations, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Cybersecurity Fundamentals

      Skills you'll gain: Encryption, Identity and Access Management, Public Key Infrastructure, Endpoint Security, Cryptography, Network Security, Cybersecurity, Threat Detection, Cyber Attacks, Cryptographic Protocols, Data Security, Email Security, Computer Security Awareness Training, Advanced Encryption Standard (AES), Security Awareness, Secure Coding, Data Encryption Standard, Technical Support and Services, Information Technology, Cyber Security Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Applied Machine Learning, Medical Imaging, Machine Learning Algorithms, Computer Vision, Deep Learning, Natural Language Processing, Medical Science and Research, Radiology, Artificial Neural Networks, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    Searches related to advanced machine learning

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    1…282930…515

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

    • Automate Cybersecurity Tasks with Python: Google
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Fundamental Skills in Engineering Design: University of Leeds
    • Learn to Program: The Fundamentals: University of Toronto
    • Foundations of Teaching for Learning: Being a Teacher: Commonwealth Education Trust
    • Active Listening: Enhancing Communication Skills: Coursera Instructor Network
    • Foundations of Teaching for Learning: Introduction to Student Assessment: Commonwealth Education Trust
    • Introduction to AI: Google
    • Introduction to Calculus: The University of Sydney
    • Cybersecurity Fundamentals: 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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