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    • Applied Machine Learning
    Related topics:applied statisticsartificial intelligencedeeplearning.aideep learningfeature engineeringetl

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    265 results for "applied machine learning"

    • DeepLearning.AI

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Machine Learning, Mathematics, Big Data, Computer Programming, General Statistics, Mathematical Optimization, Artificial Neural Networks, Python Programming, Statistical Programming, Data Management, Mathematical Theory & Analysis, Statistical Machine Learning, Deep Learning, Tensorflow, Applied Machine Learning, Theoretical Computer Science, Hyperparameter, Algorithms, Probability & Statistics

      4.9

      (60.7k reviews)

      Intermediate · Course · 1-4 Weeks

    • University of California San Diego

      University of California San Diego

      Interaction Design

      Skills you'll gain: Applied Machine Learning, Business Psychology, Change Management, Communication, Computer Graphics, Computer Programming, Data Analysis, Design and Product, Entrepreneurship, Evaluation, Experiment, General Statistics, Human Computer Interaction, Interactive Design, Leadership and Management, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Operations Management, Persona Research, Planning, Probability & Statistics, Problem Solving, R Programming, Research and Design, Social Media, Statistical Programming, Statistical Tests, Strategy and Operations, User Experience, User Experience Design, User Research, Virtual Reality, Web Development

      4.5

      (3.8k reviews)

      Intermediate · Specialization · 3+ Months

    • University of Washington

      University of Washington

      Machine Learning

      Skills you'll gain: Algorithms, Applied Machine Learning, Business Analysis, Business Psychology, Computational Logic, Computational Thinking, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Data Management, Data Structures, Deep Learning, Distributed Computing Architecture, Entrepreneurship, Estimation, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, Python Programming, Regression, Statistical Analysis, Statistical Classification, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science

      4.6

      (15.6k reviews)

      Intermediate · Specialization · 3+ Months

    • DeepLearning.AI

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

      4.7

      (17.1k reviews)

      Intermediate · Course · 1-4 Weeks

    • IBM

      IBM

      Advanced Data Science with IBM

      Skills you'll gain: Algorithms, Apache, Apache Spark, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Bayesian Statistics, Big Data, Change Management, Cloud Computing, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Correlation And Dependence, Data Analysis, Data Management, Data Model, Data Structures, Data Visualization, Deep Learning, Dimensionality Reduction, Distributed Computing Architecture, Econometrics, Estimation, Experiment, General Statistics, IBM Cloud, Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematics, Natural Language Processing, Probability & Statistics, Probability Distribution, Programming Principles, Python Programming, Regression, Signal Processing, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Strategy and Operations, Theoretical Computer Science

      4.3

      (2.9k reviews)

      Advanced · Specialization · 3+ Months

    • DeepLearning.AI

      DeepLearning.AI

      Structuring Machine Learning Projects

      Skills you'll gain: Applied Machine Learning, Entrepreneurship, Machine Learning, Deep Learning, Strategy and Operations, Analysis

      4.8

      (48.1k reviews)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      DeepLearning.AI

      Convolutional Neural Networks

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

      4.9

      (40.4k reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Pennsylvania

      University of Pennsylvania

      AI For Business

      Skills you'll gain: Applied Machine Learning, Big Data, Computational Thinking, Computer Programming, Data Management, Database Administration, Databases, Entrepreneurship, Finance, Human Resources, Leadership, Leadership and Management, Machine Learning, Marketing, People Management, Reinforcement Learning, Security Engineering, Software Security, Strategy and Operations, Theoretical Computer Science

      4.6

      (67 reviews)

      Beginner · Specialization · 3+ Months

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      Hebrew University of Jerusalem

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Machine Learning, Computer Programming, Language, Computer Vision, Theoretical Computer Science, Markov Model, Computer Architecture, Applied Machine Learning, Microarchitecture, Statistical Machine Learning, Algorithms, Logic, Architecture

      4.9

      (3.1k reviews)

      Mixed · Course · 1-3 Months

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      DeepLearning.AI

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Algebra, Android Development, Applied Machine Learning, Computer Architecture, Computer Programming, Data Management, Deep Learning, Human Computer Interaction, Javascript, Machine Learning, Mathematics, Microarchitecture, Mobile Development, Python Programming, Statistical Programming, Tensorflow, Theoretical Computer Science, User Experience, Web Development

      4.6

      (1.2k reviews)

      Intermediate · Specialization · 3+ Months

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      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

      (796 reviews)

      Beginner · Specialization · 1-3 Months

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      DeepLearning.AI

      DeepLearning.AI

      Convolutional Neural Networks in TensorFlow

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

      4.7

      (7.3k reviews)

      Intermediate · Course · 1-4 Weeks

    Searches related to applied machine learning

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

    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Interaction Design: University of California San Diego
    • Machine Learning: University of Washington
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Advanced Data Science with IBM: IBM
    • Structuring Machine Learning Projects: DeepLearning.AI
    • Convolutional Neural Networks: DeepLearning.AI
    • AI For Business: University of Pennsylvania
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • TensorFlow: Data and Deployment: DeepLearning.AI

    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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