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    SpicyMags.xyz

    Machine Learning & AI Foundations Course

    Posted By: lucky_aut
    Machine Learning & AI Foundations Course

    Machine Learning & AI Foundations Course
    Published 8/2025
    Duration: 2h 42m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 995.89 MB
    Genre: eLearning | Language: English

    Learn the core concepts of AI & Machine Learning, from basics to real-world applications, step by step

    What you'll learn
    - Understand the fundamentals of AI and ML
    - Apply core mathematical and statistical principles
    - Build and evaluate basic machine learning models
    - Understand and implement deep learning concepts
    - Identify and address ethical challenges in AI
    - Gain practical experience with AI tools and workflows

    Requirements
    - No prior experience with AI or Machine Learning is required
    - A basic understanding of high school mathematics
    - Some familiarity with programming (preferably Python)
    - Most importantly: curiosity and willingness to learn

    Description
    "This course contains the use of artificial intelligence in creating scripts, visuals, audio, and supporting content"

    Are you ready to explore the world ofArtificial Intelligence (AI)andMachine Learning (ML)? This beginner-friendly course will give you thefoundational knowledgeandpractical skillsto understand, apply, and evaluate AI systems with confidence.

    In this course, you’ll start by learningwhat AI is, itshistory and evolution, and how it is transforming industries such ashealthcare, finance, education, and transportation. You’ll gain a solid understanding ofcore conceptslikesupervised learning, unsupervised learning, and reinforcement learning, along with the mathematics that make AI work—linear algebra, probability, and optimization.

    Next, you’ll dive intomachine learning modelsand learn how to build and evaluate them usingPython librariessuch asNumPy, Pandas, and Scikit-learn. You’ll also explore the basics ofdeep learning, includingneural networks, CNNs, and RNNs, and discover how they power applications likeimage recognitionandnatural language processing.

    Beyond the technical side, this course emphasizes the importance ofethical AI. You’ll learn aboutbias, fairness, accountability, privacy, and security, ensuring that you can think critically about the impact of AI in society.

    By the end of this course, you’ll have the confidence to understand and explain AI concepts, build simple ML models, and take the next step toward becoming adata scientist, ML engineer, or AI professional.

    Take your first step into the exciting world ofMachine Learning and Artificial Intelligencetoday!

    Who this course is for:
    - Students & Beginners in Tech
    - Career Changers
    - Early-Career Developers, Data Analysts, or Engineers
    - Entrepreneurs & Business Professionals
    - Lifelong Learners
    More Info

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