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    • Advanced Machine Learning

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    266 results for "advanced machine learning"

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      University of London

      Machine Learning for All

      Skills you'll gain: Machine Learning, Applied Machine Learning, Artificial Neural Networks, Feature Engineering, Algorithms, Machine Learning Algorithms, Theoretical Computer Science

      4.7

      (3.1k reviews)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      Machine Learning Modeling Pipelines in Production

      Skills you'll gain: Advertising, Applied Machine Learning, Cloud Computing, Communication, Computer Programming, Deep Learning, Machine Learning, Marketing, Python Programming, Statistical Programming, Tensorflow

      4.4

      (316 reviews)

      Advanced · Course · 1-3 Months

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      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Probability & Statistics, General Statistics, Mathematics, Probability Distribution, Regression, Linear Algebra, Bayesian Statistics, Experiment, Econometrics, Machine Learning, Basic Descriptive Statistics, Biostatistics, Calculus, Statistical Tests, Algebra, Artificial Neural Networks, Dimensionality Reduction, Machine Learning Algorithms, Statistical Machine Learning, Communication, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Statistical Analysis

      4.4

      (696 reviews)

      Advanced · Specialization · 3-6 Months

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      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning, Machine Learning Algorithms, Accounting, Marketing

      4.8

      (276 reviews)

      Beginner · Course · 1-3 Months

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      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Skills you'll gain: Computer Vision, Deep Learning, Machine Learning, Tensorflow, Applied Machine Learning, Computer Programming, Python Programming, Statistical Programming, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics

      4.8

      (402 reviews)

      Intermediate · Course · 1-4 Weeks

    • Free

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      Stanford University

      Game Theory II: Advanced Applications

      Skills you'll gain: Game Theory, Mathematics, Algebra, Algorithms, Amazon Web Services, Applied Machine Learning, Applied Mathematics, ArcGIS, Artificial Neural Networks, Cloud Computing, Design and Product, Entrepreneurship, Leadership and Management, Machine Learning, Market Research, Marketing, Product Management, Product Marketing, Research and Design, Sales, Statistical Programming, Strategy, Strategy and Operations, Theoretical Computer Science

      4.7

      (593 reviews)

      Advanced · Course · 1-3 Months

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      Free

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      Karlsruhe Institute of Technology

      Machine Translation

      Skills you'll gain: Machine Learning, Natural Language Processing, Human Computer Interaction, User Experience, Artificial Neural Networks, Computer Graphics, Deep Learning, Interactive Design, Computer Programming, Computer Programming Tools, Other Programming Languages

      4.5

      (115 reviews)

      Intermediate · Course · 1-3 Months

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      Google Cloud

      Introduction to Trading, Machine Learning & GCP

      Skills you'll gain: Leadership and Management, Machine Learning, Finance, Cloud Computing, Cloud Platforms, Artificial Neural Networks, Entrepreneurship, Investment Management, Marketing, Sales, Strategy, Strategy and Operations

      4.0

      (779 reviews)

      Intermediate · Course · 1-4 Weeks

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      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Machine Learning, Probability & Statistics, Algorithms, Artificial Neural Networks, Computer Programming, Computer Vision, Deep Learning, General Statistics, Machine Learning Algorithms, Python Programming, Regression, Statistical Programming, Theoretical Computer Science, Experiment, Microsoft Azure

      4.6

      (114 reviews)

      Intermediate · Course · 1-4 Weeks

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      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Machine Learning, Statistical Programming, Algorithms, Machine Learning Algorithms, Theoretical Computer Science, Artificial Neural Networks, Business Analysis, Data Analysis, Data Management, Exploratory Data Analysis, Probability & Statistics, Advertising, Communication, Marketing, Supply Chain and Logistics

      4.7

      (97 reviews)

      Intermediate · Course · 1-3 Months

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      EDHEC Business School

      Python and Machine-Learning for Asset Management with Alternative Data Sets

      Skills you'll gain: Data Analysis, Computer Programming, Finance, Data Mining, Machine Learning, Mathematics, Natural Language Processing, Network Analysis

      4.4

      (221 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Applied Machine Learning, Data Analysis, Data Mining, Machine Learning, Machine Learning Algorithms, General Statistics, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Python Programming, Regression, Estimation, Linear Algebra, Statistical Tests, Algorithms, Artificial Neural Networks, Computer Programming, Econometrics, Exploratory Data Analysis, Probability & Statistics, Theoretical Computer Science

      4.6

      (8.3k reviews)

      Intermediate · Course · 1-4 Weeks

    Searches related to advanced machine learning

    advanced machine learning and signal processing
    advanced machine learning on google cloud
    1…456…23

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

    • Machine Learning for All: University of London
    • Machine Learning Modeling Pipelines in Production: DeepLearning.AI
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Fundamentals of Machine Learning for Healthcare: Stanford University
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • Game Theory II: Advanced Applications: Stanford University
    • Machine Translation: Karlsruhe Institute of Technology
    • Introduction to Trading, Machine Learning & GCP: Google Cloud
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Machine Learning Using SAS Viya: SAS

    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.‎

    • Before starting to learn advanced machine learning, it is 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. Many learners will want to start with the fundamentals of machine learning before taking advanced classes.‎

    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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