Other books that might interest you

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  Regrow: The Hidden Power of...

  Alex Southwick

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  All over the world, life is returning — often where we least expect it. Wolves are roaming once-empty forests. Rivers, freed from their dams, are carving new paths. Meadows are blooming on forgotten farmland. Nature, long subdued, is finding its way back. 
  In Regrow, Alex Southwick explores the quiet revolution of rewilding — the global movement to restore ecosystems, revive biodiversity, and rekindle our relationship with the living world. From the Scottish Highlands to the savannas of Kenya, from urban green corridors to community-led restoration projects, Southwick meets the people proving that healing the Earth is not a dream, but a process already underway. 
  Blending science, storytelling, and hope, Regrow reveals that recovery is not only possible but astonishingly swift when given the chance. It’s a reminder that the planet’s wounds can be mended — and that rewilding nature begins with rewilding ourselves.

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  The Art of Machine Learning -...

  Craig Dames

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  Machine learning is a subset of artificial intelligence that enables computers to learn from data and make decisions without being explicitly programmed. It is a field that has grown significantly over the past few decades, revolutionizing industries such as healthcare, finance, and technology. By leveraging algorithms and statistical models, machine learning systems can identify patterns, make predictions, and continuously improve their performance. 
  The foundation of machine learning lies in data. Without data, machine learning models cannot function effectively. Data can come in various forms, including structured numerical data, unstructured text, images, and audio. The process of training a machine learning model involves feeding it large amounts of data, allowing it to recognize relationships and make informed predictions. 
  Machine learning is broadly categorized into three types: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on labeled data, where it learns to map inputs to outputs based on example pairs. This approach is commonly used in applications such as email spam detection and medical diagnosis. Unsupervised learning, on the other hand, deals with data that lacks labels. The model identifies patterns and structures within the data without prior guidance, making it useful for tasks like customer segmentation and anomaly detection. Reinforcement learning is a more dynamic approach where an agent learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties. This technique is widely used in robotics and game development.

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  Machine Learning with Python -...

  Alexander Cane

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  It’s clear that the future is all about artificial intelligence and machine learning. We all want better recommendations, better personalization, and we want much more from our internet searches. The apps we use can see, they can hear, and they can even respond, and that is a direct result of artificial intelligence – improving the user experience and bringing much more value across every industry. 
  This brings two questions to mind, though – How do we bring those experiences to life and what’s the best computer programming language to use? 
  The obvious answer is to use Python because it is the best language for machine learning. 
  Why?  
  What makes it the best programming language? 
  Artificial intelligence projects are different from your standard software project, and that difference comes from the technology stack, from the skills that you need for artificial intelligence projects and from the real necessity for deep research. 
  You need a programming language that offers stability, flexibility, and a wide range of tools. Python gives you all this and more. From development, right through deployment to maintenance, the Python language helps us to be productive developers, confident about what we are building.

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  Light Overcoming Darkness -...

  Jason Summers

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  When we're trapped in the darkness, despair takes control. We desperately need the light. Margaret's nightmarish personal darkness started with the horrors of childhood trauma, were exacerbated by appalling medical abuse but finally, totally, overcome. A loving husband and a simple faith longed for a miracle. In Light Overcoming Darkness, Jason Summers authentically shares his mum's incredible journey and gives us a gentle and kind compass to navigate the storms of emotional hurt and personal pain. This book makes a profound and encouraging impact. 

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  The Plastic Bottle

  Valérie Guillaume

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  Imagine a plastic bottle is thrown into a river. The story begins as the current carries it out to sea. Where will it end up? Follow the journey of this bottle and you will experience an exciting adventure. Think about all the plastic that is being dumped in our rivers and oceans. Every year, more and more plastic ends up in the sea, and this could be very bad for future generations. Join us in taking action to reduce plastic waste and protect our oceans for the future.

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  Astronomy - Exoplanets Planetary...

  Steff Jaywan

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  This book consists of 3 titles, which are the following: 
  Exoplanets - Exploring exoplanets opens up a realm of possibilities for understanding the vastness of the cosmos. With over 4,000 confirmed exoplanets discovered to date, each new finding offers a glimpse into the incredible diversity of worlds that exist beyond our solar system. 
  Planetary Formation - Planetary formation is a captivating process that unfolds over millions to billions of years, sculpting the celestial bodies that populate our cosmos. It begins within the swirling embrace of a protoplanetary disk, a vast expanse of gas and dust leftover from the birth of a new star. Within this cosmic crucible, tiny grains of dust collide and coalesce, forming larger and larger aggregates known as planetesimals. Through the relentless pull of gravity, these planetesimals grow into protoplanets, embryonic worlds with the potential to one day become full-fledged planets. 
  Stellar Evolution - Stellar evolution refers to the process by which a star changes over the course of time. This field of astrophysics studies the formation, life, and death of stars, which involves a series of complex physical processes and transformations. Here, we outline the key stages and concepts in stellar evolution.

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