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  • Ml

Results for "ml"


  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Model Deployment, Deep Learning, Artificial Neural Networks, Data Preprocessing, Data Transformation, Data Pipelines, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    BigQuery ML を推論に使用する

    Skills you'll gain: Data Analysis, Applied Machine Learning, Model Deployment, Machine Learning, Predictive Modeling, Machine Learning Algorithms

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Master Java Build Tools for ML Projects

    Skills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Dependency Analysis

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Test & Debug Java ML Pipelines

    Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data

    Advanced · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Machine Learning, Matplotlib, Supervised Learning, Unsupervised Learning, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Cleansing, Data Quality, Data Transformation, Data Validation, Data Access, Continuous Monitoring, Unit Testing, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Infrastructure Security, Security Controls, Threat Modeling, Model Deployment, Model Evaluation, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Containerization, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    AI Strategy for Business Leaders with ChatGPT, ML & DL

    Skills you'll gain: AI Product Strategy, Digital Transformation, Business Strategy, Google Cloud Platform, Technology Strategies, Amazon Bedrock, Artificial Intelligence, Responsible AI, Return On Investment, Organizational Leadership, ChatGPT, Generative AI, Emerging Technologies, Risk Management, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

1…789…102

In summary, here are 10 of our most popular ml courses

  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
  • BigQuery ML を推論に使用する: Google Cloud
  • Master Java Build Tools for ML Projects: Coursera
  • Test & Debug Java ML Pipelines: Coursera
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Parse & Normalize Data for ML Pipelines: Coursera
  • Choose Optimal Data Structures for ML: Coursera
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Build Robust Java ML Models with Entropy: Coursera
  • Harden AI: Secure Your ML Pipelines: Coursera

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