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  • Ai Ml Inference

Results for "ai/ml inference"


  • Status: New
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    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
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    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative Model Architectures, Generative AI, Hugging Face, PyTorch (Machine Learning Library), Text Mining, Natural Language Processing, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
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    394 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    Microsoft

    Develop Clustering Models with Azure ML Designer

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

    4.9
    Rating, 4.9 out of 5 stars
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    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    University of Glasgow

    6G Vision: ML, Intelligent Surfaces & Optical Networks

    Skills you'll gain: Wireless Networks, Emerging Technologies, Digital Communications, Communication Systems, Internet Of Things, Software-Defined Networking, Network Planning And Design, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Electronics Engineering, Zero Trust Network Access, Information Technology, Machine Learning, Trustworthiness

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Amazon Web Services, Regression Analysis, Data Analysis

    Beginner · Guided Project · Less Than 2 Hours

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    Simplilearn

    Linear Algebra for ML and Analytics Training

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Apache Airflow, Data Pipelines, Kubernetes, Tensorflow, Continuous Deployment, Continuous Integration, Metadata Management, AI Orchestration, PyTorch (Machine Learning Library)

    Advanced · Course · 1 - 3 Months

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    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

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    Stanford University

    The AI Awakening: Implications for the Economy and Society

    Skills you'll gain: Generative AI, Workforce Development, OpenAI, Socioeconomics, Digital Transformation, AI Product Strategy, Artificial Intelligence, Responsible AI, Automation, Large Language Modeling, Economics, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    122 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Develop Clustering Models with Azure ML Designer: Microsoft
  • 6G Vision: ML, Intelligent Surfaces & Optical Networks: University of Glasgow
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
  • Solving ML Regression Problems with AWS AutoGluon: Coursera
  • Linear Algebra for ML and Analytics Training: Simplilearn
  • Google BigQuery for Data and ML Engineers: Pearson
  • ML Pipelines on Google Cloud en Español: Google Cloud
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA

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