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Results for "machine learning foundations"


  • Status: Free Trial
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    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, AI Security, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Responsible AI, Embeddings, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    742 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Artificial Intelligence on Microsoft Azure

    Skills you'll gain: Responsible AI, Anomaly Detection, Microsoft Azure, Artificial Intelligence, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Natural Language Processing, Machine Learning, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Customer Analytics

    Skills you'll gain: Customer Analysis, Data-Driven Decision-Making, Descriptive Analytics, Marketing Analytics, Predictive Analytics, Customer Insights, Business Analytics, Analytics, Consumer Behaviour, Process Optimization, Data Collection, Regression Analysis, Market Research

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Document and Evaluate LLM Prompting Success

    Skills you'll gain: Prompt Engineering, Prompt Patterns, MLOps (Machine Learning Operations), Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Getting started with generative AI in Azure

    Skills you'll gain: Generative AI, Prompt Engineering, Responsible AI, AI Security, Data Ethics, Microsoft Azure, AI Enablement, Artificial Intelligence, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Model Evaluation, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Fine-tuning Image Models with Diffusion

    Skills you'll gain: Model Deployment, Generative AI, AI Workflows, Generative Model Architectures, Development Environment, Image Analysis, Model Evaluation, Performance Tuning, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Toronto

    Learn to Program: The Fundamentals

    Skills you'll gain: Programming Principles, Debugging, File I/O, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Algorithms, Data Structures, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    180 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Introduction to Mathematical Thinking

    Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Generative AI Art For Beginners

    Skills you'll gain: Prompt Engineering, Generative AI, Prompt Patterns, Artificial Intelligence, Image Analysis, Natural Language Processing, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    438 reviews

    Intermediate · Guided Project · Less Than 2 Hours

Searches related to machine learning foundations

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機器學習基石下 (machine learning foundations)---algorithmic foundations
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In summary, here are 10 of our most popular machine learning foundations courses

  • IBM RAG and Agentic AI: IBM
  • Artificial Intelligence on Microsoft Azure: Microsoft
  • Logistic Regression with NumPy and Python: Coursera
  • Customer Analytics: University of Pennsylvania
  • Document and Evaluate LLM Prompting Success: Coursera
  • Getting started with generative AI in Azure: Microsoft
  • Fine-tuning Image Models with Diffusion: Coursera
  • Learn to Program: The Fundamentals: University of Toronto
  • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
  • Introduction to Mathematical Thinking: Stanford University

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