Machine Learning, Deep Learning & Generative AI: Understanding the Complete Modern AI in 2024: ML, DL & Gen AI

Posted By: TiranaDok

Machine Learning, Deep Learning & Generative AI: Understanding the Complete Modern AI in 2024: ML, DL & Gen AI by Et Tu Code
English | January 12, 2024 | ISBN: N/A | ASIN: B0CS9HX43R | 315 pages | EPUB | 6.86 Mb

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.