Other books that might interest you

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  The Shocking Truth about Animal...

  Zoey Fraisers

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  Animal testing has long been a cornerstone of scientific research, serving as a method to understand biological processes, test the safety and efficacy of products, and develop medical treatments. It involves the use of live animals in experiments and observational studies to explore the effects of drugs, chemicals, and other substances on biological systems. This practice, while often viewed as essential, is fraught with controversy, ethical dilemmas, and scientific scrutiny. 
  The origins of animal testing can be traced back to ancient Greece, where philosophers like Aristotle and Erasistratus conducted rudimentary experiments on animals to study anatomy and physiology. Over centuries, as medicine and technology advanced, the scope and complexity of animal testing expanded. By the 19th and 20th centuries, animal experimentation had become an institutionalized component of biomedical research, contributing to groundbreaking discoveries such as vaccines, antibiotics, and surgical techniques. 
  Today, animal testing is pervasive across multiple industries, including pharmaceuticals, cosmetics, and chemicals. It is primarily used to evaluate the safety of products, ensure regulatory compliance, and develop new treatments for diseases. Animals such as mice, rats, rabbits, and primates are commonly employed because of their physiological similarities to humans, which researchers argue make them suitable models for studying human biology.

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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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  Environmental Science -...

  Jeron Iris

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  Environmental Science is an interdisciplinary field that integrates various scientific disciplines to study the natural world and the impact of human activities on it. This branch of science explores the complex interactions between living organisms, their physical surroundings, and the broader ecosystems they form. The primary goal of environmental science is to understand how natural systems function, identify environmental problems, and develop strategies for addressing these issues. 
    
  At its core, environmental science seeks to answer fundamental questions about the earth's resources, how they are used, and how human actions influence the balance of ecosystems. It draws from biology, chemistry, physics, geology, and social sciences to provide a comprehensive understanding of the environment. For example, ecology, the study of living organisms and their relationships to each other and their surroundings, is a central component of environmental science. By examining the dynamics of ecosystems, scientists can assess the health of the environment and predict the effects of human activities such as urbanization, deforestation, and pollution. 
  One of the primary focuses of environmental science is resource management. As the global population continues to grow, the demand for natural resources such as water, energy, and food increases. Environmental scientists work to ensure that these resources are used sustainably, balancing the needs of current populations with the preservation of resources for future generations. This includes studying renewable resources, such as solar and wind energy, and nonrenewable resources, like fossil fuels, to understand their availability and impact on the environment.

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  Ultimate Women's Health...

  LoveAndBloom

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  The mental and emotional state of a woman’s health can affect her deeply physically. Women are generally more receptive to the energies and influences surrounding them. They are more empathetic. 
  When you are too sensitive to energies, you need tools to balance your hormones, mental state and emotional health. We need to protect our energies and psyches to feel balanced loved and nurtured. 
  In this course, we will heal from a spiritual perspective. We will cut all your ex-partner's cords. We want to stay healthy in all connections without any past influences. Next, we will heal your womb. Your womb has tremendous power in your manifestations. We clear all residue traumas wounds or pains that are recorded. Then we will do a menstrual cycle healing to balance your physical period back to balance. 
  This is a very powerful course in healing all aspects of womanhood. Take a chance to nurture yourself now!

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  Born of Fire and Rain - Journey...

  M.L. Herring

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  If you live on a rapidly changing planet, you'd be wise to learn how it works. The giant old forests on a skinny stretch of land on the far west coast of North America have a lot to say about living in a twitchy world. 
   
   
    
  In this engaging book science writer M. L. Herring takes listeners into the Pacific temperate rainforest at the tumultuous edge of a shifting continent in a precarious moment of time. Listeners peek behind the magnificent scenery into a forest of ancient trees, exploding mountains, disappearing owls, tsunamis, megafires, and ten million people to learn what it means to be a forest in a world of upheavals. 
   
   
    
  Through Herring's words, listeners drift into the canopy through masses of ferns and lichens, burrow into soil through hair-thin threads of fungi, and plunge headlong through a watershed flushed with rain and snowmelt. Listeners experience the temperate rainforest through science and art as it faces a shifting climate and the shifting priorities of a constantly changing society. The book journeys beyond the grid of latitude and longitude and into places only one's imagination can fit, to discover what it means to be human in an ecological world.

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  Design for Cognitive Bias

  David Dylan Thomas

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  We humans are messy, illogical creatures who like to imagine we’re in control—but we blithely let our biases lead us astray. In Design for Cognitive Bias, David Dylan Thomas lays bare the irrational forces that shape our everyday decisions and, inevitably, inform the experiences we craft. Once we grasp the logic powering these forces, we stand a fighting chance of confronting them, tempering them, and even harnessing them for good. Come along on a whirlwind tour of the cognitive biases that encroach on our lives and our work, and learn to start designing more consciously. 
  THIS BOOK EXPLORES: 
  • Why our brains take shortcuts—and why that matters in our work 
  • How bias influences everything from user behavior to stakeholder decision-making to team dynamics 
  • Techniques for noticing your own biases, and using them for good where you can 
  • Making more humane and conscientious products and experiences

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