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  • 山羊npv加速器

Results for "山羊NPV加速器"


  • Status: Preview
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    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
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    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Machine Learning Implementation and Operations in AWS

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    B

    Board Infinity

    The Rise of Generative AI

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Neural Networks, OpenAI, Artificial Intelligence, ChatGPT, Large Language Modeling, Deep Learning, Machine Learning, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence, Model Deployment

    4.4
    Rating, 4.4 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    M

    MathWorks

    Data Science Companion

    Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    C

    Coursera

    Data Science for Professionals

    Skills you'll gain: Predictive Modeling, Data Visualization, Predictive Analytics, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Statistics, Data Wrangling, Data Cleansing, Data Preprocessing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    Universidad Austral

    Optimización de Redes Neuronales Profundas

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Preprocessing, Machine Learning Algorithms, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Classify Images of Cats and Dogs using Transfer Learning

    Skills you'll gain: Tensorflow, Transfer Learning, Image Analysis, Keras (Neural Network Library), Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning

    Beginner · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular 山羊NPV加速器 courses

  • GenAI for Data Scientists: Coursera
  • Foundations of Data Science and Machine Learning with Python: Packt
  • PySpark for Data Science: Edureka
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • The Rise of Generative AI: Board Infinity
  • K-Means Clustering 101: World Happiness Report: Coursera
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Introduction to AI and Machine Learning: LearnKartS
  • Data Science Companion: MathWorks
  • Data Science for Professionals: Coursera

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