Machine Learning, Deep Learning & Generative AI: Understanding the Complete Modern AI in 2024: ML, DL & Gen AI
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Discover the intricacies of modern AI with "ML, DL & GenAI: Understanding the Complete Modern AI in 2024." This comprehensive audiobook takes you on a journey through the fundamentals, advancements, and ethical considerations of Machine Learning (ML), Deep Learning (DL), and Generative AI in 2024.
Machine Learning:
- Gain insights into the basics, historical evolution, and key concepts of ML.
- Explore the realms of Supervised and Unsupervised Learning, along with popular algorithms.
- Delve into Feature Engineering, Model Evaluation, and Ethical considerations.
Deep Learning:
- Uncover the foundations of Deep Learning, Neural Networks, and Backpropagation.
- Navigate through Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
- Explore the practical applications, popular models, tools, and the ethical landscape of Deep Learning.
Generative AI:
- Step into the world of Generative AI with an introduction, historical context, and diverse generative models.
- Understand the training and fine-tuning processes, backed by detailed mathematical insights and research papers.
- Witness the impact of Generative AI across industries, its tools, frameworks, and ethical challenges
Embark on a learning journey that encapsulates the dynamic landscape of modern AI, equipping you with knowledge to navigate the evolving world of Machine Learning, Deep Learning, and Generative AI in 2024.
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About this audiobook
Discover the intricacies of modern AI with "ML, DL & GenAI: Understanding the Complete Modern AI in 2024." This comprehensive audiobook takes you on a journey through the fundamentals, advancements, and ethical considerations of Machine Learning (ML), Deep Learning (DL), and Generative AI in 2024.
Machine Learning:
- Gain insights into the basics, historical evolution, and key concepts of ML.
- Explore the realms of Supervised and Unsupervised Learning, along with popular algorithms.
- Delve into Feature Engineering, Model Evaluation, and Ethical considerations.
Deep Learning:
- Uncover the foundations of Deep Learning, Neural Networks, and Backpropagation.
- Navigate through Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
- Explore the practical applications, popular models, tools, and the ethical landscape of Deep Learning.
Generative AI:
- Step into the world of Generative AI with an introduction, historical context, and diverse generative models.
- Understand the training and fine-tuning processes, backed by detailed mathematical insights and research papers.
- Witness the impact of Generative AI across industries, its tools, frameworks, and ethical challenges
Embark on a learning journey that encapsulates the dynamic landscape of modern AI, equipping you with knowledge to navigate the evolving world of Machine Learning, Deep Learning, and Generative AI in 2024.
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