Other books that might interest you

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  Moonlight Elk - One Woman's Hunt...

  Chris Tiegreen

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  Christie Green learned to hunt in order to complement the food she grew in her garden. As an act of practical agency this fulfilled her needs, yet a restlessness stirred within. She longed for a life defined by something deeper than cultural norms. Could she travel beyond the supposed domain of women and venture into the wild, where men were said to prevail? 
   
   
   
  Here, hunting in the wild, the moon cycles through her, rising and falling, whispering messages from the dark side. Rather than circle the hot insistence of a masculine sun, Green begins to attune to the more elusive, mysterious murmuration of the moon. Animals and dreams, lunar partners, choreograph Green through time and space. She longs to dream, toil, live, and love at the edges of the fertile ecotones where she can withdraw inward, retreat like an animal into hiding, and then come into full, radiant view on her own terms. Green sheds the burdens of her domestic self and witnesses the animals defying reason as they walk her into their world, ambling her along, straddling night and day, waking and sleeping. Through them, definitions of gender dissolve and boundaries blur. In the process, Green eclipses western society's definitions of her as a woman, mother, lover, and entrepreneur, courageously birthing her own independence through a profound connection to the animals and the places they call home.

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  Data Science and Machine...

  Daniel Keim

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  Data science and machine learning are complicated fields, but "Data Science and Machine Learning: A Comprehensive Guide to Extracting Insights and Building Intelligent Systems: Strategies, Techniques, and Applications for Data-driven Decision Making" is an authoritative book that will help you understand them. For anyone at any point in their journey—from beginners to seasoned pros—this all-inclusive manual is a vital toolkit. A vast range of subjects, such as data pre-processing, exploratory data analysis, and the application of advanced machine learning models, are painstakingly covered in this book. 
  Readers are exposed to a variety of algorithms and techniques—from classic statistical methods to cutting-edge deep learning approaches—through concise and thorough explanations. The theoretical parts are brought to life by practical insights and real-world examples that show how these techniques might be utilized. The writers emphasize the significance of making decisions based on facts and show how intelligent systems may be designed to address actual business problems and produce strategic results. 
  To educate readers about the rapidly changing field of artificial intelligence, ethical issues, and emerging trends are also carefully examined. This book is more than simply a technical handbook; it's a strategy manual that enables readers to fully utilize data science and machine learning, turning unstructured data into insightful insights and intelligent systems that spur efficiency and creativity.

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  Machine Learning with Python -...

  Alexander Cane

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  Ways to combat retraining depend on the algorithm and consist of the correct values of the trainer's met parameters. In practice, model estimation is not performed on the same input data that was used to train the model. Divide 10-20% of all available data into a separate set and call it a set for evaluation. We will bring the other 10-20% into the set for ratification, and 60-80% of the remaining ones will be given to the trainer. The principle of data sharing depends on the data and the task. Random sampling is often a good method if inputs are independent of each other, and there is no strong imbalance between the number of positive and negative entries. 
  The intuitive analogy here is the same as with university studies: the teacher solves some problems with students in pairs and gives other’s similar tasks in the exam. What is important here (both in teaching students and models) is that these tasks are varied, and students cannot simply memorize the answers, and those who have mastered the material (similar tasks) will be able to repeat the thought process and answer correctly. 
  In machine learning, we split into data two sets: we will use the evaluation set to evaluate each model we train, using different approaches, algorithms, and model types to select the best one. That is, for each model, we will have two precision values - precision on the training dataset and precision on the evaluation dataset. It is normal for the former to be higher than the second, but not significantly. A big difference indicates retraining.

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  Archaeopteryx The: The History...

  Editors Charles River

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  The massively popular 1990 novel Jurassic Park by Michael Crichton and its subsequent movie adaptations led to a huge resurgence in interest in dinosaurs and the prehistoric world. That interest continues to the present day, even though most of the dinosaurs in Jurassic Park weren’t actually from the Jurassic period. Triceratops, Velociraptor, Tyrannosaurus Rex and the huge sauropods such as Brachiosaurus that feature in the book and movies all actually belong to the Late Cretaceous period, more than 40 million years after the end of the Jurassic. Regardless, certain kinds of dinosaurs remain instantly recognizable. 
  	The movie also popularized pterodactyls, and the concept of flying dinosaurs fascinates people. There is no doubt that Archaeopteryx, which lived over 150 million years ago, was one of the earliest birds or avialans (bird-like creatures), and when the first fossil of it was discovered, it was hailed as a potential missing link between dinosaurs and birds. The name Archaeopteryx comes from Greek, the word for “ancient” and the term for “wing” or “feather.” The creature is occasionally referenced by the German, “Urvogel,” which literally means “primeval bird.” From the known species of Archaeopteryx, the creature grew no longer than half a meter (20 inches), including its long, bony tail. Despite its bird-like appearance, scientists point out that the genus has far more in common with the dinosaurs of its day than with the thousands of bird species of our modern age. 
  	Over time, however, others would argue it was actually the missing link between birds and other reptiles. Meanwhile, the debate over whether it was the first avialan came and went, as it was discovered to not be the first.

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  The RoboSphere - Robots Among...

  Zoe Carter

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  Get ready for an exciting trip into the future with "The RoboSphere: Robots Among Us - Insights into the World of Robotics and Automation." This book is your pass to a fantastic investigation into robotics's state-of-the-art discoveries and life-changing effects. 
  Explore the intriguing history of robotics, from mechanical devices to the intelligent machines that are a seamless part of our everyday lives. "Robots Among Us" appeals to science buffs, tech enthusiasts, and anybody who wants to learn more about the quickly changing field of automation. Whether you're a seasoned expert or a curious beginner, this book is designed to be accessible and engaging for all levels of technical knowledge. 
  Learn about the nuances of critical elements, categories, and the range of robots that coexist in our environments today. This book explores the worlds of possibility and potential, from industrial applications reshaping the manufacturing landscape to service robots improving our everyday lives, igniting curiosity about the significant consequences of these intelligent machines.

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  HowExpert Guide to Moths - 101+...

  HowExpert, Jessica Dumas

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  HowExpert Guide to Moths written by Jessica Dumas is a guidebook that is packed with more than 101+ fun facts and tips to learn about moths. In this guidebook, you will learn everything you ever wanted to know about moths. In addition, this book will be an eye-opener as to how important they are and why they should be appreciated as much as the butterflies. 
  This guidebook has more about moths than an encyclopedia and is much easier to understand. It is not an official field guide normally used for identifying moths; however, you can use it along with your field guide for additional details that may not be in a field guide. You can use this book to teach children or anyone else interested in learning about moths. Some of the topics of this guidebook are as follows: 
  - Tips on who belongs to the Lepidoptera family 
  - Tips on distinguishing a moth from a butterfly 
  - Tips on how to identify different types of moths 
  - Moth life cycle and stages of metamorphosis 
  - Descriptions of body parts and their functions 
  - Learn why moths are attracted to lights 
  - Learn how to repel moths in your closets 
  - Learn why there’s a decline in moth population 
  - Learn important reasons why moths matter 
  - Learn how moths act as a gauge for the ecosystem 
  - Tips on things you can do to help save moths 
  - Tips on growing a moon garden for moths 
  - Tips on being a moth-er and going mothing 
  - Tips on science careers of studying moths 
  - Tips on educating children and others about moths 
  There are several more fascinating topics included that will be fun to explore. You will not find other resources that compile all the most interesting and educational information about moths in one organized source like this book. 
  About the Author 
  Jessica Dumas is a freelance writer who was inspired to write about butterflies and moths because of her love for them.

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