Other books that might interest you

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  Third Ear - Reflections on the...

  Elizabeth Rosner

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  This illuminating book weaves personal stories of a multilingual upbringing with the latest scientific breakthroughs in interspecies communication to show how the skill of deep listening enhances our curiosity and empathy toward the world around us 
   
   
   
  Third Ear braids together personal narrative with scholarly inquiry to examine the power of listening to build interpersonal empathy and social transformation. A daughter of Holocaust survivors, Rosner shares stories from growing up in a home where six languages were spoken to interrogate how psychotherapy, neurolinguistics, and creativity can illuminate the complex ways we are impacted by the sounds and silences of others. 
   
   
   
  Drawing on expertise from journalists, podcasters, performers, translators, acoustic biologists, spiritual leaders, composers, and educators, this hybrid text moves fluidly along a spectrum from molecular to global to reveal how third-ear listening can be a collective means for increased understanding and connection to the natural world.

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  Navigation: A Newcomer's Guide -...

  Sara Hopkinson

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  Get to grips with navigation at sea. This best-selling book gives you all the information you need to know to do just that! It starts from scratch, uses no jargon and features diagrams and pictures, instead of words, wherever possible. It covers all modern navigation and has been updated to reflect upcoming changes in Admiralty charts. It is recommended by Fernhurst Books for beginners and Day Skipper students. Written by an RYA Yachtmaster Instructor and Examiner who runs her own RYA Training Centre which specialises in navigation, it is the perfect place for newcomers to navigation to start. It explains simply how to look at charts (paper or digital), find your position, look at tides, plan your passage and determine the course to steer. It will help you find out where you are and how to get to where you want to.

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  Blockchain Fundamentals -...

  Virversity Online Courses

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  This course provides a comprehensive introduction to blockchain technology, guiding learners from foundational principles to advanced applications. Students will develop a solid understanding of decentralized systems and digital assets by exploring how blockchain works and its diverse use cases.Begin by mastering core concepts such as distributed ledgers, consensus mechanisms, and cryptography. Learn about different blockchain types—including public, private, and consortium models—and discover how smart contracts automate agreements. The course examines real-world applications across industries, mining and validation processes, and the mechanisms securing blockchain networks.Gain insight into tokens, cryptocurrencies, and digital asset management while addressing challenges like scalability and emerging solutions. Explore decentralized applications (DApps), advanced security, and privacy concepts, preparing you to protect blockchain data and users effectively.Finally, investigate future trends and innovations shaping blockchain’s evolution. By course completion, you will have a strong grasp of both fundamentals and advanced topics, empowering you to engage confidently with blockchain projects or specialize further in this rapidly growing field.

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  LLM Transformer RAG AI -...

  Et Tu Code

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  Explore the world of language models with "LLM, Transformer, RAG AI: Mastering Large Language Models, Transformer Models, and Retrieval-Augmented Generation (RAG) Technology." Dive into the fundamentals of language model development, from Natural Language Processing basics to choosing the right framework. Learn the intricacies of data collection and preprocessing, model architecture design, and the art of training and fine-tuning. 
  Discover crucial aspects like evaluation metrics, validation, and ethical considerations in language model development. Delve into the optimization of performance and efficiency, exploring popular large language models like BERT and GPT. 
  Unveil the power of Transformer models, unraveling their architecture and building them from scratch. Explore encoder-only, decoder-only, and encoder-decoder Transformer models, and their applications in various contexts. Master the training and fine-tuning of Transformers, and harness the potential of transfer learning. 
  Embark on a journey into the realm of RAG AI, understanding retrieval models and generative language models. Delve into the architecture of RAG, its applications, and fine-tuning processes. Navigate through challenges and considerations while exploring future trends and best practices in RAG AI. Immerse yourself in case studies and project examples, and gain insights into cloud support, multimodal RAG, cross-language applications, and real-time implementations. 
  This comprehensive guide goes beyond theory, offering practical insights into implementing language models and RAG AI in industry. Encounter ethical considerations at every turn, and stay ahead of the curve with discussions on challenges and future trends. Collaborate with the community, contribute to open-source initiatives, and become a master in the dynamic landscape of large language models, Transformers, and Retrieval-Augmented Generation technology.

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  Python Machine Learning for...

  Alexa Campbell

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  Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step. 
  Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning gradually improves its accuracy, eventually providing the optimal results for the problem it has been assigned to. 
  It is one of the most important parts of data science and, as big data continues to expand, so too will the need for machine learning and AI. 
  Here's what you will learn in this quick guide to machine learning with Python for beginners:What machine learning isWhy Python is the best computer programming language for machine learningThe different types of machine learningHow linear regression worksThe different types of classificationHow to use SVMs (Support Vector Machines) with Scikit-LearnHow Decision Trees work with ClassificationHow K-Nearest Neighbors worksHow to find patterns in data with unsupervised learning algorithms 
  You will also find plenty of code examples to help you understand how everything works. 
  If you are ready to take your programming further, scroll up, click Buy Now, and find out why machine learning is the next logical step.

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  Ethical and Social Philosophers...

  Hector Davidson

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  This book contains ideas and thoughts from these philosophers: 
  - Martha Nussbaum: At the heart of Nussbaum’s intellectual journey is the development of the capabilities approach, a framework she co-created with economist Amartya Sen. This approach is centered on the idea that justice should be evaluated based on individuals’ abilities to function and achieve various important life goals, rather than simply on income or wealth. The capabilities approach emphasizes human dignity and focuses on the conditions that allow people to live lives they have reason to value. It challenges traditional views of social justice by broadening the scope of what constitutes a flourishing life beyond mere economic success. 
  - Peter Singer: Peter Singer is one of the most influential philosophers in contemporary ethics, known for his contributions to utilitarianism, animal rights, global poverty, bioethics, and environmental ethics. His ethical philosophy is grounded in the principle of utilitarianism, which holds that the right course of action is the one that produces the greatest overall happiness or well-being. Singer’s work is characterized by a practical, results-oriented approach, focusing on how ethical principles can be applied to real-world issues to alleviate suffering and promote well-being. His influential works, such as Animal Liberation and The Life You Can Save, challenge readers to consider the moral implications of their actions in a variety of contexts, from how they treat animals to how they engage with global poverty. 
   

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