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  • Artificial Intelligence And Machine Learning Ai Ml

Results for "artificial intelligence and machine learning (ai/ml)"


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    EDUCBA

    Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI

    Skills you'll gain: Apple iOS, iOS Development, Apple Xcode, Application Deployment, Swift Programming, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Knowledge of Apple Software, Image Analysis, Real Time Data, Mobile Development, Model Deployment, User Interface and User Experience (UI/UX) Design, Computer Vision, Natural Language Processing, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Convolutional Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Model Evaluation

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Machine Learning Methods, AI Security, Continuous Monitoring, Statistical Methods, Responsible AI, Data Quality

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

    Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Predictive Modeling, Data Quality

    Intermediate · Course · 1 - 4 Weeks

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    Simplilearn

    Workflow Automation using Generative AI

    Skills you'll gain: Email Automation, Marketing Automation, OpenAI API, Business Process Automation, AI Workflows, ChatGPT, Automation, Performance Tuning, Workflow Management, Generative AI, Scalability, Process Optimization, Operational Efficiency, Real Time Data, Social Media Content, Application Programming Interface (API), Content Creation

    3.9
    Rating, 3.9 out of 5 stars
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    42 reviews

    Beginner · Course · 1 - 4 Weeks

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    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Willingness To Learn, Productivity, Creativity, Self-Discipline, Stress Management, Self-Awareness, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
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    93K reviews

    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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    Coursera

    Measure ML Impact & Business Value

    Skills you'll gain: Experimentation, Business Metrics, Data Storytelling, Return On Investment, Model Evaluation, Dashboard, Performance Measurement, Business Valuation, Key Performance Indicators (KPIs), A/B Testing, Performance Analysis, Analysis, Product Management, Machine Learning, Financial Analysis, Business, Stakeholder Communications, Sample Size Determination, Power Electronics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Universidad Nacional Autónoma de México

    Inteligencia artificial: proyecto final

    Skills you'll gain: Program Development, Artificial Intelligence, Software Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Technical Writing

    4.8
    Rating, 4.8 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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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

  • Status: Free Trial
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    Google Cloud

    Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Database Management, Data Integration, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    125 reviews

    Intermediate · Specialization · 1 - 4 Weeks

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In summary, here are 10 of our most popular artificial intelligence and machine learning (ai/ml) courses

  • Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI: EDUCBA
  • Getting Started with Machine Learning at the Edge on Arm: Arm
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
  • Workflow Automation using Generative AI: Simplilearn
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • Google BigQuery for Data and ML Engineers: Pearson
  • Measure ML Impact & Business Value: Coursera
  • Inteligencia artificial: proyecto final: Universidad Nacional Autónoma de México

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