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    • Applied Machine Learning

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    262 results for "applied machine learning"

    • University of Michigan

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Algorithms, Analysis, Applied Machine Learning, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Mining, Data Visualization, Econometrics, Extract, Transform, Load, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Matplotlib, Natural Language Processing, Network Analysis, Probability & Statistics, Programming Principles, Python Programming, Regression, Social Network, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science

      4.5

      (31.8k reviews)

      Intermediate · Specialization · 3+ Months

    • Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      Skills you'll gain: Apache, Applied Machine Learning, Big Data, Bigquery, Cloud Computing, Cloud Storage, Computer Architecture, Computer Programming, Data Lake, Data Management, Databases, Deep Learning, Distributed Computing Architecture, Feature Engineering, Full-Stack Web Development, Google Cloud Platform, Hardware Design, Machine Learning, Python Programming, Statistical Programming, Theoretical Computer Science, Web Development

      4.6

      (16.6k reviews)

      Intermediate · Professional Certificate · 3+ Months

    • Stanford University

      Stanford University

      AI in Healthcare

      Skills you'll gain: Applied Machine Learning, Business Analysis, Change Management, Clinical Data Management, Communication, Data Analysis, Data Management, Finance, Financial Analysis, Leadership and Management, Machine Learning, Marketing, Mathematics, Probability & Statistics, Regulations and Compliance, Strategy and Operations

      4.7

      (772 reviews)

      Beginner · Specialization · 3+ Months

    • Google Cloud

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Apache, Applied Machine Learning, Big Data, Bigquery, Cloud Computing, Cloud Storage, Computer Architecture, Computer Programming, Data Lake, Data Management, Databases, Deep Learning, Distributed Computing Architecture, Feature Engineering, Full-Stack Web Development, Google Cloud Platform, Hardware Design, Machine Learning, Python Programming, Statistical Programming, Web Development

      4.6

      (16.4k reviews)

      Intermediate · Specialization · 3+ Months

    • IBM

      IBM

      IBM Machine Learning

      Skills you'll gain: Advertising, Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Business Analysis, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, Forecasting, General Statistics, Journalism, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Probability & Statistics, Python Programming, Regression, Reinforcement Learning, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain and Logistics, Theoretical Computer Science

      4.6

      (902 reviews)

      Intermediate · Professional Certificate · 3+ Months

    • IBM

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Algorithms, Analysis, Applied Machine Learning, Business Analysis, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Supply Chain and Logistics, Theoretical Computer Science

      4.6

      (846 reviews)

      Intermediate · Specialization · 3+ Months

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      DeepLearning.AI

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

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

      4.7

      (1.7k reviews)

      Intermediate · Specialization · 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, Python Programming, Statistical Programming, Tensorflow

      4.8

      (1k reviews)

      Intermediate · Specialization · 3+ Months

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      IBM

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Applied Machine Learning, Cloud Computing, Computer Vision, Deep Learning, IBM Cloud, Machine Learning, Machine Learning Algorithms, Software Engineering, Software Engineering Tools, Web Development, Web Development Tools

      4.7

      (11k reviews)

      Beginner · Specialization · 3+ Months

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      Google Cloud

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Business Psychology, Cloud API, Cloud Computing, Computational Thinking, Computer Architecture, Computer Programming, Data Management, Data Structures, Deep Learning, Econometrics, Entrepreneurship, Extract, Transform, Load, Feature Engineering, General Statistics, Geostatistics, Google Cloud Platform, Hardware Design, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Tensorflow, Theoretical Computer Science

      4.5

      (9.1k reviews)

      Intermediate · Specialization · 3+ Months

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      DeepLearning.AI

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Algorithms, Applied Machine Learning, Computer Graphics, Computer Programming, Feature Engineering, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Randomness, Theoretical Computer Science

      4.7

      (2k reviews)

      Intermediate · Specialization · 1-3 Months

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      University of Pennsylvania

      University of Pennsylvania

      Robotics

      Skills you'll gain: Algorithms, Applied Machine Learning, Bioinformatics, Computer Programming, Computer Vision, Data Analysis, Data Analysis Software, Entrepreneurship, General Statistics, Geometry, Leadership and Management, Linear Algebra, Machine Learning, Mapping, Mathematics, Matlab, Planning, Probability & Statistics, Statistical Programming, Supply Chain and Logistics, Theoretical Computer Science

      4.4

      (3.6k reviews)

      Beginner · Specialization · 3+ Months

    Searches related to applied machine learning

    applied machine learning in python
    introduction to applied machine learning
    1234…22

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

    • Applied Data Science with Python: University of Michigan
    • Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
    • AI in Healthcare: Stanford University
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • IBM Machine Learning: IBM
    • IBM Introduction to Machine Learning: IBM
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • AI Foundations for Everyone: IBM
    • Machine Learning on Google Cloud: Google Cloud

    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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