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Results for "machine learning foundations"


  • Status: New
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    CertNexus

    GenAIBIZ: Making Generative AI Work for Your Business

    Skills you'll gain: Generative Model Architectures, Generative AI, AI Product Strategy, Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Data Strategy, Data Ethics, Artificial Neural Networks, Process Improvement, Process Improvement and Optimization, Cloud Computing, Operational Efficiency, Process Optimization, Big Data, Customer Service, Natural Language Processing, User Experience, Marketing

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
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    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Nanyang Technological University, Singapore

    Motivating Gen Z Learners: What Parents and Teachers Need to Know

    Skills you'll gain: Growth Mindedness, Motivational Skills, Learning Strategies, Interactive Learning, Student Engagement, Self-Motivation, Learning Theory, Needs Assessment, Instructional Strategies, Learning Styles, Behavior Management

    4.8
    Rating, 4.8 out of 5 stars
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    356 reviews

    Beginner · Course · 1 - 4 Weeks

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    Macquarie University

    Cyber Security: Essentials for Forensics

    Skills you'll gain: Digital Forensics, Mobile Security, Anomaly Detection, AI Security, Criminal Investigation and Forensics, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Investigation, Cyber Attacks, File Systems, Intrusion Detection and Prevention, Fraud detection, Mobile Development, Cybersecurity, Applied Machine Learning, Malware Protection, Cyber Security Policies, Apple iOS, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
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    26 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    ASP.NET Core Razor Pages - The Complete Guide (.NET 6)

    Skills you'll gain: ASP.NET, .NET Framework, Identity and Access Management, Full-Stack Web Development, Web Applications, Microsoft Azure, Web Development, Cloud Deployment, Application Deployment, Authorization (Computing), Authentications, Databases, Software Architecture, Payment Systems, Software Design Patterns, Data Modeling, User Interface (UI)

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    Coursera

    Evaluate AI Risks: Adopt Smart Predictions

    Skills you'll gain: Model Evaluation, Data-Driven Decision-Making, Predictive Modeling, Risk Analysis, Strategic Decision-Making, Performance Metric, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Microsoft

    Building multi-agent systems

    Skills you'll gain: Responsible AI, Containerization, Scalability, AI Orchestration, Application Deployment, Kubernetes, Azure Active Directory, System Monitoring, AI Workflows, Agentic systems, Artificial Intelligence, Microsoft 365, Microservices, Generative AI Agents, Enterprise Architecture, Microsoft Azure, AI Security, Enterprise Security, Role-Based Access Control (RBAC), Coordination

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Fractal Analytics

    Data Frameworks for Generative AI

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Enterprise Architecture, AI Enablement, Metadata Management, Data Science, Machine Learning

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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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    24 reviews

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    SPSS: Apply & Evaluate Cluster Analysis Techniques

    Skills you'll gain: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization

    4.9
    Rating, 4.9 out of 5 stars
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    19 reviews

    Mixed · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Science of Exercise

    Skills you'll gain: Exercise Science, Kinesiology, Physiology, Sports Medicine, Nutrition and Diet, Pharmacology, Public Health and Disease Prevention, Immunology, Preventative Care, Respiration, Athletic Training, Endocrinology, Chronic Diseases, Vital Signs, Biochemistry, Public Health, Mental Health

    4.8
    Rating, 4.8 out of 5 stars
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    4.7K reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    LLM Engineer’s Handbook

    Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, Hugging Face, MLOps (Machine Learning Operations), OpenAI, Prompt Engineering, Model Deployment, AWS SageMaker, Extract, Transform, Load, Embeddings, Data Pipelines, CI/CD, Vector Databases, Model Evaluation

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular machine learning foundations courses

  • GenAIBIZ: Making Generative AI Work for Your Business: CertNexus
  • Principal Component Analysis with NumPy: Coursera
  • Motivating Gen Z Learners: What Parents and Teachers Need to Know: Nanyang Technological University, Singapore
  • Cyber Security: Essentials for Forensics: Macquarie University
  • ASP.NET Core Razor Pages - The Complete Guide (.NET 6): Packt
  • Evaluate AI Risks: Adopt Smart Predictions: Coursera
  • Building multi-agent systems: Microsoft
  • Data Frameworks for Generative AI: Fractal Analytics
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA

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