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  • Machine Learning Foundations

Results for "machine+learning+foundations"


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    Whizlabs

    Fundamentals of AWS AI and ML Solutions

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Deep Learning, AI Personalization, Cloud Solutions, Artificial Intelligence, Model Evaluation, Applied Machine Learning, AI Integrations, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Data Transformation, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Generative Model Architectures, Big Data, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Large Language Modeling, Customer Data Management, AI literacy, Autoencoders, Model Optimization, Deep Learning, Model Evaluation, Algorithms, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Scripting Languages

    Beginner · Course · 3 - 6 Months

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    Packt

    Foundations of AI, LLMs, and Development Environments

    Skills you'll gain: OpenAI API, Generative Model Architectures, Hugging Face, Programming Principles, Object Oriented Programming (OOP), Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    Understand and Apply Artificial Intelligence Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Decision Intelligence, Data Ethics, Data-Driven Decision-Making, Agentic systems

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    8.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
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    16 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    LearnQuest

    No-Code AI Foundations for Business Professionals

    Skills you'll gain: AI Enablement, No-Code Development, Business Transformation, Digital Transformation, Solution Design, Organizational Change, Change Management, Business Priorities, Market Opportunities, Business Analysis, Business Communication, Influencing, Technical Communication, Automation, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

1…6789

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

  • Fundamentals of AWS AI and ML Solutions: Whizlabs
  • Core Machine Learning & Evaluation: Packt
  • Fundamentals of Deep Learning: Whizlabs
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Foundations of AI, LLMs, and Development Environments: Packt
  • Understand and Apply Artificial Intelligence Fundamentals: EDUCBA
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Advanced Learning Algorithms: DeepLearning.AI

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