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  • 数学ソフトウェア

Results for "数学ソフトウェア"


  • Status: Free Trial
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    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    279 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Illinois Urbana-Champaign

    Applying Data Analytics in Marketing

    Skills you'll gain: Marketing Analytics, Advanced Analytics, Customer Retention, Analytics, Predictive Modeling, Marketing, Data Analysis, Social Network Analysis, Data Ethics, Customer Insights, Market Analysis, Text Mining, Predictive Analytics, Responsible AI, Consumer Behaviour, Pandas (Python Package), Marketing Strategy and Techniques, Digital Marketing, Machine Learning, Generative AI

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    188 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, Software Development, C++ (Programming Language), Machine Learning Methods, Performance Tuning, C and C++, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Hardware Architecture, Computer Vision, Programming Principles, OS Process Management, Data Structures, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    844 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Python Programming, Applied Machine Learning, Supervised Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    372 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    680 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Getting Started with Google Kubernetes Engine - 日本語版

    Skills you'll gain: Kubernetes, Containerization, Google Cloud Platform, Docker (Software), Application Deployment, Cloud Infrastructure, Cloud Computing, Command-Line Interface

    4.1
    Rating, 4.1 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    U

    University of Michigan

    AI for Design and Optimization

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, AI Product Strategy, Technical Design, Machine Learning, Data-Driven Decision-Making, Deep Learning, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    Alfaisal University | KLD

    أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI

    Skills you'll gain: Computer Vision, Natural Language Processing, Machine Learning, Big Data, Artificial Intelligence, Deep Learning, Reinforcement Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    225 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for the Google Cloud Professional Cloud Architect Exam 日本語版

    Skills you'll gain: Google Cloud Platform, Cloud Computing Architecture, Technical Design, System Design and Implementation, Cloud Computing, Cloud Security, Solution Architecture, Data Migration, Cloud Infrastructure, Enterprise Architecture, Solution Design, Virtual Machines, Identity and Access Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    36 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular 数学ソフトウェア courses

  • Deep Learning and Reinforcement Learning: IBM
  • Applying Data Analytics in Marketing: University of Illinois Urbana-Champaign
  • GPU Programming: Johns Hopkins University
  • Prediction and Control with Function Approximation: University of Alberta
  • Machine Learning: Clustering & Retrieval: University of Washington
  • NLP: Twitter Sentiment Analysis: Coursera
  • Guided Tour of Machine Learning in Finance: New York University
  • Getting Started with Google Kubernetes Engine - 日本語版: Google Cloud
  • Basic Image Classification with TensorFlow: Coursera
  • AI for Design and Optimization: University of Michigan

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