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    • Advanced Machine Learning
    Related topics:advanced algorithmsadvanced statisticsdeep learningadvanced pythonapplied statisticsgoogle

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    156 results for "advanced machine learning"

    • DeepLearning.AI

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

      Skills you'll gain: Machine Learning Algorithms, Computer Vision, Statistical Programming, Computer Programming, Modeling, Artificial Neural Networks, PyTorch, Applied Machine Learning, Python Programming, Machine Learning, Deep Learning

      4.7

      (1.5k reviews)

      Intermediate · Course · 1-4 Weeks

    • DeepLearning.AI

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Python Programming, Bias, Statistical Programming, Modeling, Computer Programming, Deep Learning, Machine Learning

      4.7

      (529 reviews)

      Intermediate · Course · 1-4 Weeks

    • DeepLearning.AI

      DeepLearning.AI

      Apply Generative Adversarial Networks (GANs)

      Skills you'll gain: Computer Vision, Modeling, Machine Learning

      4.8

      (422 reviews)

      Intermediate · Course · 1-4 Weeks

    • CertNexus

      CertNexus

      Build Decision Trees, SVMs, and Artificial Neural Networks

      Skills you'll gain: Machine Learning

      5.0

      (7 reviews)

      Intermediate · Course · 1-3 Months

    • Sungkyunkwan University

      Sungkyunkwan University

      Using R for Regression and Machine Learning in Investment

      Intermediate · Course · 1-4 Weeks

    • New York Institute of Finance

      New York Institute of Finance

      Using Machine Learning in Trading and Finance

      Skills you'll gain: Data Analysis, Accounting, Business Analysis, Investment Management, Finance, Trading, Financial Analysis, Machine Learning

      4.0

      (294 reviews)

      Intermediate · Course · 1-3 Months

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      DeepLearning.AI

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Distributed Computing Architecture, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, Object Detection, Python Programming, Statistical Programming, Tensorflow

      4.8

      (1k reviews)

      Intermediate · Specialization · 3+ Months

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      University of Minnesota

      University of Minnesota

      Recommender Systems

      Skills you'll gain: Algorithms, Applied Machine Learning, Basic Descriptive Statistics, Business Analysis, Change Management, Communication, Computer Programming, Data Analysis, Data Analysis Software, Digital Marketing, Experiment, General Statistics, Human Computer Interaction, Java Programming, Leadership and Management, Linear Algebra, Machine Learning, Marketing, Mathematics, Mobile Development, Probability & Statistics, Spreadsheet Software, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.3

      (764 reviews)

      Intermediate · Specialization · 3+ Months

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      CFA Institute

      CFA Institute

      Statistics for Machine Learning for Investment Professionals

      Skills you'll gain: Machine Learning Algorithms, Python Programming, Statistical Programming, Computer Programming, Regression, General Statistics, Probability & Statistics, Machine Learning

      5.0

      (7 reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Analysis, Application Development, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Visualization, Exploratory Data Analysis, Extract, Transform, Load, Knitr, Probability & Statistics, R Programming, Rstudio, Software Engineering Tools, Statistical Programming

      4.6

      (46.4k reviews)

      Beginner · Specialization · 3+ Months

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      New York Institute of Finance

      New York Institute of Finance

      Machine Learning for Trading

      Skills you'll gain: Accounting, Artificial Neural Networks, Business Analysis, Cloud Computing, Computer Programming, Data Analysis, Finance, Financial Analysis, General Statistics, Investment Management, Machine Learning, Mathematics, Probability & Statistics, Python Programming, Reinforcement Learning, Statistical Programming, Trading

      3.9

      (931 reviews)

      Intermediate · Specialization · 1-3 Months

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      Johns Hopkins University

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Analysis, Business Analysis, Data Analysis, Data Visualization, Econometrics, Experiment, General Statistics, Hypothesis, Machine Learning, Machine Learning Algorithms, Mathematics, Natural Language Processing, Plot (Graphics), Probability & Statistics, R Programming, Regression, Regression Analysis, Statistical Analysis, Statistical Hypothesis Testing, Statistical Programming, Theoretical Computer Science

      4.4

      (7k reviews)

      Intermediate · Specialization · 3+ Months

    Searches related to advanced machine learning

    advanced machine learning and signal processing
    advanced machine learning on google cloud
    1234…13

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

    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
    • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
    • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
    • Using Machine Learning in Trading and Finance: New York Institute of Finance
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Recommender Systems: University of Minnesota
    • Statistics for Machine Learning for Investment Professionals: CFA Institute
    • Data Science: Foundations using R: Johns Hopkins University

    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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