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Results for "研究科学文章"


  • Status: New
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    W

    Whizlabs

    Exam Prep DP-100: Microsoft Azure Data Scientist Associate

    Skills you'll gain: Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Prompt Engineering, Data Management, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Statistics, Cloud Computing, Application Deployment, Azure Synapse Analytics, Data Pipelines, Large Language Modeling, Continuous Monitoring, Generative AI, Data Processing, Machine Learning, Applied Machine Learning, Scalability

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP en Français

    Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Applied Machine Learning, Jupyter, Big Data, Data Pipelines, Machine Learning, Natural Language Processing, Artificial Intelligence, Image Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Information Theory & Games

    Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    Packt

    Building AI-Powered Application with .NET

    Skills you'll gain: .NET Framework, Machine Learning, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), Development Environment, Microsoft Development Tools, Image Analysis, Responsible AI, Computer Vision, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Innovating with Data and Google Cloud בעברית

    Skills you'll gain: Digital Transformation, Google Cloud Platform, Big Data, Looker (Software), Cloud Computing, Machine Learning, Analytics, Data Management, Data Lakes, Data Storage, Unstructured Data, Business Intelligence, Data-Driven Decision-Making, Customer experience improvement, Artificial Intelligence

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Predictive Analytics Project Ideation

    Skills you'll gain: Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    NLP Modelos y Algoritmos

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Text Mining, Unsupervised Learning, Algorithms, Supervised Learning

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Logic for Computer Science

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Analytical Skills, Theoretical Computer Science, Computational Thinking, Computer Science, Data Analysis, Computer Programming, Verification And Validation, Algorithms, Program Development, Software Development, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Relational Databases, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

    Intermediate · Course · 1 - 4 Weeks

1…878889…114

In summary, here are 10 of our most popular 研究科学文章 courses

  • Exam Prep DP-100: Microsoft Azure Data Scientist Associate: Whizlabs
  • Smart Analytics, Machine Learning, and AI on GCP en Français: Google Cloud
  • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
  • Building AI-Powered Application with .NET: Packt
  • Innovating with Data and Google Cloud בעברית: Google Cloud
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Predictive Analytics Project Ideation: University of Minnesota
  • Learning Deep Learning: Unit 1: Pearson
  • NLP Modelos y Algoritmos: Universidad Austral
  • Data Science Fundamentals Part 1: Unit 1: Pearson

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