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  • Optimization Techniques For Machine Learning

Results for "optimization techniques for machine learning"


  • U

    University of Illinois Urbana-Champaign

    e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age

    Skills you'll gain: Differentiated Instruction, Digital pedagogy, Collaborative Software, Education Software and Technology, digital literacy, Emerging Technologies, Innovation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.6K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    QA Process Optimization: Agile & Automated Testing

    Skills you'll gain: Software Quality Assurance, Quality Assurance, Test Automation, Test Tools, Test Script Development, Acceptance Testing, Agile Software Development, Test Case, Software Testing, Continuous Integration, User Acceptance Testing (UAT), Agile Methodology, User Story, Sprint Retrospectives, Automation, Analysis, Collaboration

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, AI Workflows, AI Enablement, Applied Machine Learning, Model Deployment, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Classification Algorithms, Artificial Intelligence, Dimensionality Reduction, Anomaly Detection, Machine Learning, Data Ethics, Linear Algebra, Regression Analysis, Model Evaluation, Responsible AI, Embedded Systems, Natural Language Processing, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Applied Mathematics

    Credit offered

    Mastertrack · 6 - 12 Months

  • M

    Macquarie University

    Excel Skills for Business: Intermediate II

    Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Forecasting, Data Integrity, Business Modeling, Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.5K reviews

    Intermediate · Course · 1 - 3 Months

  • S

    SkillUp

    Improvement Techniques and Control Tools

    Skills you'll gain: Lean Methodologies, Process Improvement, Lean Six Sigma, Statistical Process Controls, Continuous Improvement Process, Process Optimization, Quality Control, Process Capability, Employee Training, Operational Efficiency, Waste Minimization, Data-Driven Decision-Making

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Advanced Cost Accounting Techniques Practically

    Skills you'll gain: Profit and Loss (P&L) Management, Operating Cost, Cost Estimation, Inventory Accounting, Decision Making

    Beginner · Course · 1 - 4 Weeks

  • Y

    Yonsei University

    Wireless Communications for Everybody

    Skills you'll gain: Wireless Networks, Communication Systems, Telecommunications, Digital Communications, System Design and Implementation, Network Protocols, Emerging Technologies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, Computational Thinking, General Mathematics, Mathematical Modeling, Algebra, Cryptography, Systems Of Measurement

    4.2
    Rating, 4.2 out of 5 stars
    ·
    277 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Cloud Deployment, Tensorflow, Image Analysis, Data Preprocessing, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • M

    Macquarie University

    Excel Skills for Business: Intermediate I

    Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Data Analysis Expressions (DAX), Consolidation, Business Reporting, Data Management, Data Integration, Data Cleansing, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular optimization techniques for machine learning courses

  • e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age: University of Illinois Urbana-Champaign
  • QA Process Optimization: Agile & Automated Testing: Coursera
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®: Universidad de los Andes
  • Excel Skills for Business: Intermediate II: Macquarie University
  • Improvement Techniques and Control Tools: SkillUp
  • Learning Deep Learning: Unit 1: Pearson
  • Analyze Advanced Cost Accounting Techniques Practically: EDUCBA
  • Wireless Communications for Everybody: Yonsei University
  • Mathematics for Computer Science: University of London

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