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  • 练习筛选复杂的事实信息,以确定重要特征和趋势

Results for "- 练习筛选复杂的事实信息,以确定重要特征和趋势"


  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, Applied Machine Learning, Predictive Modeling, 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: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Applied Machine Learning, Data Processing, Regression Analysis, Machine Learning, Supervised Learning, Feature Engineering, Data Cleansing, Continuous Deployment, Unsupervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Generative AI, Generative Model Architectures, Software Architecture, Systems Architecture, Machine Learning Methods, PyTorch (Machine Learning Library), Large Language Modeling, Image Analysis, Performance Tuning, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Austral

    Optimización de Redes Neuronales Profundas

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Analysis, Applied Machine Learning, Machine Learning, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring

    Intermediate · Course · 1 - 3 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, Scalability, Machine Learning, Technical Design, Amazon Elastic Compute Cloud, Cloud Computing, AWS Identity and Access Management (IAM), Cloud Security, Data Management, Disaster Recovery, Data Security

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Workflow Management, Data Governance, Data Management, Google Cloud Platform, Data Processing, Applied Machine Learning, Tensorflow, Data Pipelines, Machine Learning, Feature Engineering, Data Transformation, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting, Machine Learning, Machine Learning Algorithms, Responsible AI, Artificial Neural Networks, Data Processing, Healthcare Ethics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Generative AI - בעברית

    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular - 练习筛选复杂的事实信息,以确定重要特征和趋势 courses

  • GenAI for Data Scientists: Coursera
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Advanced Machine Learning Algorithms: Fractal Analytics
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Optimización de Redes Neuronales Profundas: Universidad Austral
  • Building a Machine Learning Solution: Coursera
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Machine Learning in the Enterprise - 日本語版: Google Cloud

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