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    • Advanced Machine Learning

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    266 results for "advanced machine learning"

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      Stanford University

      Introduction to Statistics

      Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization

      4.6

      (2.1k reviews)

      Beginner · Course · 1-3 Months

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      University of Minnesota

      Recommender Systems

      Skills you'll gain: Probability & Statistics, Data Analysis, Basic Descriptive Statistics, Machine Learning, Applied Machine Learning, Change Management, Leadership and Management, Strategy and Operations, General Statistics, Natural Language Processing, Business Analysis, Spreadsheet Software, Linear Algebra, Machine Learning Algorithms, Statistical Analysis, Statistical Programming, Human Computer Interaction, User Experience, Correlation And Dependence, Java Programming, Mathematics, Microsoft Excel, Statistical Machine Learning, Algebra, Combinatorics, Computer Programming, Data Analysis Software, Digital Marketing, Entrepreneurship, Marketing, Mobile Development, Supply Chain and Logistics

      4.3

      (792 reviews)

      Intermediate · Specialization · 3-6 Months

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      CFA Institute

      Statistics for Machine Learning for Investment Professionals

      Skills you'll gain: General Statistics, Probability & Statistics, Machine Learning, Data Analysis, Regression, Business Analysis, Computer Programming, Correlation And Dependence, Econometrics, Forecasting, Machine Learning Algorithms, Probability Distribution, Python Programming, R Programming, Statistical Analysis, Statistical Programming, Statistical Tests, Data Science

      4.7

      (26 reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: R Programming, Data Analysis, Data Science, Exploratory Data Analysis, Statistical Programming, Data Visualization Software, Software Visualization, Statistical Visualization, Basic Descriptive Statistics, General Statistics, Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Linear Algebra, Machine Learning Software, Probability & Statistics, Probability Distribution, Software Engineering Tools, Spreadsheet Software, Statistical Tests, Application Development, Business Analysis, Data Management, Data Visualization, Extract, Transform, Load, Knitr, Plot (Graphics)

      4.6

      (47.3k reviews)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Python Programming, Statistical Programming, Theoretical Computer Science, Tensorflow, Algorithms, Data Management, Data Structures, Probability & Statistics, General Statistics, Statistical Machine Learning, Computer Vision, Mathematics, Probability Distribution, Computational Logic, Linear Algebra, Mathematical Theory & Analysis

      4.9

      (1.9k reviews)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Algebra, Linear Algebra, Mathematics, Mathematical Theory & Analysis, Artificial Neural Networks, Computer Programming, Deep Learning, Econometrics, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Regression, Statistical Programming

      4.4

      (215 reviews)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Deep Learning, Tensorflow, Machine Learning, Python Programming, Applied Machine Learning, Computer Programming, Statistical Programming, Computer Vision, Artificial Neural Networks, Computer Architecture, Computer Networking, Distributed Computing Architecture, Machine Learning Algorithms, Machine Learning Software, Mathematics, Network Architecture, Network Model, Basic Descriptive Statistics, Computer Graphic Techniques, Computer Graphics, Data Analysis, Probability & Statistics, Programming Principles

      4.8

      (1.2k reviews)

      Intermediate · Specialization · 3-6 Months

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      EDHEC Business School

      Investment Management with Python and Machine Learning

      Skills you'll gain: Finance, Computer Programming, Investment Management, Python Programming, Statistical Programming, Data Analysis, Machine Learning, Probability & Statistics, Data Analysis Software, Machine Learning Algorithms, Data Mining, Risk Management, Algorithms, Applied Machine Learning, Theoretical Computer Science, Mathematics, Natural Language Processing, Network Analysis, Leadership and Management, Regression, Accounting, Business Analysis, Computer Science, Financial Analysis, Statistical Analysis

      4.6

      (1.6k reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: R Programming, Statistical Programming, General Statistics, Statistical Analysis, Data Analysis, Machine Learning, Probability & Statistics, Statistical Tests, Data Science, Machine Learning Software, Basic Descriptive Statistics, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Linear Algebra, Regression, Exploratory Data Analysis, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Probability Distribution, Plot (Graphics), Machine Learning Algorithms, Algorithms, Applied Machine Learning, Business Analysis

      4.4

      (7.1k reviews)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Machine Learning Data Lifecycle in Production

      Skills you'll gain: Python Programming, Statistical Programming, Tensorflow, Exploratory Data Analysis, Feature Engineering, Machine Learning, Probability & Statistics, Applied Machine Learning, Data Management, Data Warehousing, Extract, Transform, Load, Business Analysis, Computer Networking, Data Analysis, Data Visualization, Network Security, Security Engineering, Security Strategy, Statistical Visualization

      4.3

      (621 reviews)

      Advanced · Course · 1-4 Weeks

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      Google Cloud

      Machine Learning for Trading

      Skills you'll gain: Machine Learning, Finance, Leadership and Management, Cloud Computing, Cloud Platforms, Risk Management, Strategy, Applied Machine Learning, Artificial Neural Networks, Entrepreneurship, Investment Management, Marketing, Probability & Statistics, Sales, Securities Trading, Strategy and Operations, Business Psychology, Computer Programming, General Statistics, Mathematics, Python Programming, Reinforcement Learning, Statistical Programming

      3.9

      (1k reviews)

      Intermediate · Specialization · 1-3 Months

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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

    Searches related to advanced machine learning

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

    • Introduction to Statistics: Stanford University
    • Recommender Systems: University of Minnesota
    • Statistics for Machine Learning for Investment Professionals: CFA Institute
    • Data Science: Foundations using R: Johns Hopkins University
    • Advanced Learning Algorithms: DeepLearning.AI
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Investment Management with Python and Machine Learning: EDHEC Business School
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Machine Learning Data Lifecycle in Production: DeepLearning.AI

    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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