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    • Applied Machine Learning

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    274 results for "applied machine learning"

    • University of London

      University of London

      Virtual Reality

      Skills you'll gain: 3d Modeling, Applied Machine Learning, Computer Graphic Techniques, Computer Graphics, Human Computer Interaction, Interactive Design, Machine Learning, Software Engineering, Software Engineering Tools, Virtual Reality

      4.7

      (1.9k reviews)

      Beginner · Specialization

    • University of Colorado Boulder

      University of Colorado Boulder

      Advanced Business Analytics

      Skills you'll gain: Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Big Data, Business Analysis, Business Communication, Cloud Computing, Communication, Computer Vision, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Databases, Finance, General Statistics, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Regression, Risk Management, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Theoretical Computer Science

      4.6

      (4.7k reviews)

      Intermediate · Specialization

    • University of Pennsylvania

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Python Programming, Algorithms, Statistical Programming, Theoretical Computer Science, Applied Machine Learning, Computer Programming, Microarchitecture, Computer Architecture, Thought, Computational Thinking, Inventory Management, Supply Chain and Logistics, Programming Principles, Machine Learning

      4.7

      (1.1k reviews)

      Beginner · Course

    • University of Illinois at Urbana-Champaign

      University of Illinois at Urbana-Champaign

      Data Mining

      Skills you'll gain: Accounting, Algorithms, Analysis, Applied Machine Learning, Bayesian Statistics, Big Data, Bioinformatics, Business Analysis, Calculus, Computational Logic, Computer Architecture, Computer Graphics, Computer Programming, Data Analysis, Data Clustering Algorithms, Data Management, Data Mining, Data Structures, Data Visualization, Databases, Distributed Computing Architecture, Financial Analysis, General Statistics, Geovisualization, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, SQL, Statistical Analysis, Statistical Programming, Theoretical Computer Science, Visualization (Computer Graphics)

      4.5

      (2.7k reviews)

      Intermediate · Specialization

    • University of California, Irvine

      University of California, Irvine

      Learn English: Beginning Grammar

      Skills you'll gain: Algorithms, Applied Machine Learning, Communication, Computer Programming, English Grammar, English Language, Grammar, Machine Learning, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Other Programming Languages, Theoretical Computer Science

      4.9

      (898 reviews)

      Beginner · Specialization

    • DeepLearning.AI

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Natural Language, Artificial Neural Networks, Computer Programming, Applied Machine Learning, Machine Learning, Statistical Programming, Deep Learning, Language

      4.6

      (5.9k reviews)

      Intermediate · Course

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      Banco Interamericano de Desarrollo

      Banco Interamericano de Desarrollo

      Diseño y Gestión de Proyectos de Desarrollo

      Skills you'll gain: Account Management, Applied Machine Learning, Bioinformatics, Change Management, Computer Vision, Entrepreneurship, Finance, Leadership and Management, Machine Learning, Machine Learning Algorithms, Planning, Probability & Statistics, Project Management, Risk Management, Sales, Strategy and Operations, Supply Chain and Logistics

      4.8

      (46 reviews)

      Beginner · Specialization

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      DeepLearning.AI

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

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

      4.7

      (1.5k reviews)

      Intermediate · Course

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      DeepLearning.AI

      DeepLearning.AI

      Sequences, Time Series and Prediction

      Skills you'll gain: Tensorflow, Analysis, Forecasting, Statistical Programming, Python Programming, General Statistics, Computer Programming, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Time Series, Modeling, Probability & Statistics, Machine Learning

      4.7

      (4.5k reviews)

      Intermediate · Course

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      University of Colorado Boulder

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Applied Machine Learning, Applied Mathematics, Computational Logic, Computer Architecture, Computer Programming, Design and Product, Differential Equations, Electrical Engineering, Electronics, Feature Engineering, General Statistics, Hardware Design, Machine Learning, Mathematics, Probability & Statistics, Programming Principles, Python Programming, Theoretical Computer Science

      4.6

      (2k reviews)

      Intermediate · Specialization

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      Free

      Deep Teaching Solutions

      Deep Teaching Solutions

      Uncommon Sense Teaching

      Skills you'll gain: Entrepreneurship, Teaching, Applied Machine Learning, Leadership and Management, Human Resources, Machine Learning, Human Learning, Business Psychology, People Development

      4.8

      (306 reviews)

      Beginner · Course

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      IBM

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Applied Machine Learning, Computer Vision, Ethics, Deep Learning, Machine Learning, Machine Learning Algorithms

      4.7

      (9.3k reviews)

      Beginner · Course

    Searches related to applied machine learning

    applied machine learning in python
    introduction to applied machine learning
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    In summary, here are 10 of our most popular applied machine learning courses

    • Virtual Reality: University of London
    • Advanced Business Analytics: University of Colorado Boulder
    • Computational Thinking for Problem Solving: University of Pennsylvania
    • Data Mining: University of Illinois at Urbana-Champaign
    • Learn English: Beginning Grammar: University of California, Irvine
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Diseño y Gestión de Proyectos de Desarrollo: Banco Interamericano de Desarrollo
    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
    • Sequences, Time Series and Prediction: DeepLearning.AI
    • Embedding Sensors and Motors: University of Colorado Boulder

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Applied Machine Learning

    • It's important to learn about applied machine learning if you want to pursue a career in it or if you want to know how to use it in data analysis. Applied machine learning can be used to solve problems and collect insights from big data sets. When you learn machine learning fundamentals, you will be able to do predictive analysis, data analysis, and text mining. You'll be able to apply different programming languages and platforms to the data problems faced in your organization. Applied machine learning can help you pull insights and make decisions from the information that has been collecting for a long time.‎

    • Career opportunities that arise from learning applied machine learning are mostly in computer programming. Applied machine learning, also known as automatic machine learning or AutoML, involves using computer languages for data analysis of large data. Being able to create the programs to do this is important. It is also useful to understand the power and limitations of applied machine learning if you will be using reports and making decisions based on applied machine learning. More and more management information systems include aspects of applied machine learning. This makes the field more useful to those who use data in their daily work.‎

    • Online courses on Coursera can help you learn applied machine learning in several languages and platforms, including Python, Matlab, Google Cloud, H20 in R, and TensorFlow. Some courses cover programming languages, and others look at how machine learning is applied to decision making in specific fields. Most courses are at an intermediate level, but a few offer a beginner-level introduction to the fundamentals of applied machine learning and how to chart, plot, and mine text to make big data usable. The courses include lectures, readings, and projects so that you can apply what you learn. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

    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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