Outros livros que poderiam interessá-lo

• 

  Rift Valley Fever - A British...

  Hugh Cran

  • 0
  • 0
  • 0

  Trained as a vet in Edinburgh, Hugh Cran set off to Kenya and spent the next 50 years at the sharp end, treating cattle of Maasai herdsmen, wild animals, horses and pets of ex-pats and the military, the government and everyone in-between. Travelling miles on rough roads, performing impromptu surgery by torchlight and with dirty water, Hugh fell in love with the chaotic life and the colourful people he worked for, from dawn to dusk, seven days a week.

  Ver livro

• 

  ChatGPT talks on science for...

  Paulo Dario

  • 0
  • 0
  • 0

  This book follows a series of "conversations" with these tools, mainly with "chatGPT 4.0" but also with "Bard". It's well known that chatGPT is hampered in its research up to a certain point in time and, because they are language modeling tools, they end up inventing... a lot, especially in bibliographic references. However, accessory tools are emerging that make it possible to improve and even correct this situation, tools that will certainly become much more powerful in the future, but which are already a reality. So, using all these AI tools, a book has been created that aims to be a pedagogical tool that answers a series of questions that can be asked by secondary and higher education students, or even people who are just interested in these issues, but who don't have the access or predisposition to use these types of AI tools.

  Ver livro

• 

  Hands-on NumPy for Numerical...

  Rituraj Dixit

  • 0
  • 0
  • 0

  Unlock the Power of NumPy to Accelerate Data Analysis and Computing.
  Book Description
  NumPy is the backbone of numerical computing in Python, powering everything from scientific research to machine learning and AI applications. Mastering NumPy is essential for anyone working with data, enabling faster computations, efficient data structures, and seamless integration with advanced analytical tools.
  Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance.
  Whether you're building your foundation in numerical computing or looking to enhance your data analysis workflows, this book will give you a competitive edge. Don't get left behind—harness the full power of NumPy to supercharge your data science and machine learning projects today!
  Table of Contents
  1. Getting Started with NumPy
  2. Understanding NumPy Array
  3. Data Type (dtype) in NumPy Array
  4. Indexing and Slicing in NumPy Array
  5. NumPy Array Operations
  6. NumPy Array I/O
  7. Linear Algebra with NumPy
  8. Advanced Numerical Computing
  9. Exploratory Data Analysis
  10. Performance Optimization
  11. Implementing a Machine Learning Algorithm      
  
  Index

  Ver livro

• 

  AI And The Future of Education -...

  Priten Shah

  • 0
  • 0
  • 0

  Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. This book is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can be used to enhance education, you can let go of anxiety and uncertainty, and learn to embrace it. 
   
   
   
  Along with tremendous opportunities, AI presents some challenges for the field of education. In this book, Priten Shah, a Harvard MEd with a robust background in educational innovation, helps you face these challenges, so you can gain the skills you need to use AI effectively in your classroom. Thanks to this thorough consideration of ethical considerations and practical approaches, you can develop your own strategy for leveraging AI in administrative tasks, lesson design, professional development, and beyond. 
   
   
   
  This book will teach you to: understand what AI and machine learning are, and learn about new developments like ChatGPT; discover strategies for engaging students more fully using AI; automate administrative tasks, grading and feedback, and assessments; use AI in innovative ways to promote higher-order thinking skills; and examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias.

  Ver livro

• 

  The Butterfly Book

  Andrew Fusek Peters

  • 0
  • 0
  • 0

  In this new book on native butterflies we look at the lifecycle of the butterfly alongside many other fascinating facts, all brought to life by the brilliant photography of Andrew Fusek Peters.
  With consideration given to the physiological and environmental backdrop of the UK’s butterfly population, as well as its inclusion in myth and legend, art and literature, The Butterfly Book is an ideal guide to its subject for all nature lovers, beautifully illustrated throughout with brand new photography and artwork.

  Ver livro

• 

  Mechanics - Chemical and...

  Phil Gilberts

  • 0
  • 0
  • 0

  This book consists of two titles: 
  1 - Chemical engineering is a multidisciplinary field that integrates principles from chemistry, physics, mathematics, and economics to tackle complex challenges across a diverse range of industries. At its core, chemical engineers focus on efficiently harnessing, transforming, and transporting chemicals, materials, and energy on a large scale. This involves not only designing and optimizing processes but also understanding the fundamental properties of substances and the underlying mechanisms governing their behavior. 
  One of the primary areas of focus for chemical engineers is process design and optimization. They develop innovative processes for the production of chemicals, fuels, pharmaceuticals, and materials, striving to maximize efficiency, minimize waste, and ensure safety. This often involves breaking down complex systems into manageable unit operations, such as distillation, reaction kinetics, heat transfer, and separation techniques, which are then studied and optimized individually to achieve specific goals within a larger process framework. 
  2 - Mechanical technology encompasses a broad spectrum of techniques and tools used in the design, analysis, manufacturing, and maintenance of mechanical systems. This field merges principles from physics, engineering, and materials science to create and improve machinery and devices that perform specific functions.

  Ver livro