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    Results for "advanced machine learning"

    • Status: Free
      Free
      S

      Sungkyunkwan University

      Machine Learning Basics

      Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      69 reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      450 reviews

      Advanced · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Generative AI for Data Scientists

      Skills you'll gain: Generative AI, Microsoft Copilot, Natural Language Processing, Data Quality, Anomaly Detection, Data Storytelling, Data Ethics, Data-Driven Decision-Making, Interactive Data Visualization, Data Presentation, OpenAI, Data Pipelines, Prompt Engineering, Data Cleansing, Data Visualization Software, Data Synthesis, Data Analysis, Communication, Data Validation, Large Language Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Specialization · 1 - 3 Months

    • A

      Amazon Web Services

      Introduction to Machine Learning on AWS

      Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Artificial Intelligence, Image Analysis, Computer Vision, Text Mining, Machine Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      136 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Forecasting, Data Processing, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Machine Learning Algorithms, Analysis, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      K

      Karlsruhe Institute of Technology

      Machine Translation

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Language Interpretation, Translation, and Studies, Statistical Modeling, Vocabulary, Analysis, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      176 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to advanced machine learning

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

    • Machine Learning Basics: Sungkyunkwan University
    • MLOps | Machine Learning Operations: Duke University
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Generative AI for Data Scientists: Microsoft
    • Introduction to Machine Learning on AWS: Amazon Web Services
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Data Science: Foundations using R: Johns Hopkins University
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Convolutional Neural Networks: 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.‎

    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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