Machine Learning, Deep Learning & Generative AI [ebook]

Discover the intricacies of modern AI with "ML, DL & GenAI: Understanding the Complete Modern AI in 2024." This comprehensive ebook 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.

Real-world Applications:

• Bridge theory with practice as you explore ML and DL applications in real-world scenarios.

Future Trends and Ethical Considerations:

• Stay ahead of the curve with future trends in ML, DL, and Generative AI.
• Tackle ethical considerations in each domain, ensuring responsible AI development.

Conclusion:

• Summing up, the ebook provides a holistic view of AI, blending theory, practical applications, and ethical awareness.

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.