Other books that might interest you

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  Cascadia

  H.W. "Buzz" Bernard

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  If you live in the Pacific Northwest, get ready to run for your life . . . 
  In the face of a massive earthquake and tsunami in the Pacific Northwest, a respected geologist must make two gut-wrenching decisions. One could cost him his reputation, the other, his life. 
  Is the Northwest overdue for a huge quake and tsunami, or will the region remain safe for hundreds of years yet to come? No one knows… or does someone? 
  Dr. Rob Elwood, a geologist whose specialty is earthquakes and tsunamis, is having nightmares of "the big one" that are way too real to disregard. His friend, a counselor and retired reverend, does not think Rob is going nuts. To the contrary, he believes the dreams are premonitions to be taken seriously. No one else does, however, even after a press conference. 
  Some live to regret it, most don't. 
  Rob's drama becomes intertwined with others--a retired fighter pilot trying to make amends to a woman he jilted decades ago and a quixotic retiree searching for legendary buried treasure in the rugged coastal mountains of Oregon. 
  All are about to live Rob's nightmare. 
  "Riveting, scary, and entirely believable . . . a compelling, page-turning thriller with the ring of truth." Jerry Thompson, author of Cascadia's Fault

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  The Story of Astrophysics in...

  Ersilia Vaudo

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  When Neil Armstrong first set foot in the lunar dust, the Earth held its breath. That one small step forever changed our view of what was possible, sparking a dramatic expansion of humankind's cosmic awareness. When we gain a new perspective, a transformation begins, profoundly altering the understanding of the world our human experience had previously granted us. 
   
   
   
  In The Story of Astrophysics in Five Revolutions, astrophysicist Ersilia Vaudo explores five such turning points in the history of cosmology: Newton's realization that gravity governs the celestial world; Einstein's dual theories of relativity, linking space with time and gravity with acceleration; Hubble's revelation of an expanding, rather than static, universe; and the emergence of antiparticles from a mathematical equation and their implications for our cosmic evolution. 
   
   
   
  In poetic prose, Vaudo illuminates the key insights that have led us to where we stand now. At the same time, she urges us to look beyond—to be open to the transformative realizations yet to come in our ongoing quest to understand the extraordinary, and still largely mysterious, universe to which we belong.

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  Psychedelics and mental health -...

  Irene de Caso

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  Irene de Caso explains in an understandable and entertaining way the current neuroscientific advances related to psychedelic drugs, as well as their clinical and experiential applications.
  José Carlos Bouso, PhD, Scientific Director, ICEERS.
  
  Learn about the therapeutic uses of classical psychedelics and empathogens as revolutionary tools for neuroplasticity and mental health. Discover how they promote profoundly revealing mental states capable of restructuring our internal models of the world, reconsolidate traumatic memories and improve our social relationships. How do they affect the brain? What characteristics make these substances powerful catalysts for the psychotherapeutic process?
  Learn how they can help to improve severe symptoms: addictions, treatment-resistant depression, anxiety or post-traumatic stress.
  This illustrated guide describes the most important clinical studies and will be of great interest to all medical and mental health professionals seeking to understand the cutting edge clinical applications of these molecules, as well as to individuals interested in learning about the potential of psychedelic-assisted therapies.

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  Ultimate Machine Learning with...

  Parag Saxena

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  Master the Art of Data Munging and Predictive Modeling for Machine Learning with Scikit-Learn
  Book Description
  “Ultimate Machine Learning with Scikit-Learn” is a definitive resource that offers an in-depth exploration of data preparation, modeling techniques, and the theoretical foundations behind powerful machine learning algorithms using Python and Scikit-Learn.
  Beginning with foundational techniques, you'll dive into essential skills for effective data preprocessing, setting the stage for robust analysis. Next, logistic regression and decision trees equip you with the tools to delve deeper into predictive modeling, ensuring a solid understanding of fundamental methodologies. You will master time series data analysis, followed by effective strategies for handling unstructured data using techniques like Naive Bayes.
  Transitioning into real-time data streams, you'll discover dynamic approaches with K-nearest neighbors for high-dimensional data analysis with Support Vector Machines(SVMs). Alongside, you will learn to safeguard your analyses against anomalies with isolation forests and harness the predictive power of ensemble methods, in the domain of stock market data analysis.
  By the end of the book you will master the art of data engineering and ML pipelines, ensuring you're equipped to tackle even the most complex analytics tasks with confidence.
  Table of Contents
  1. Data Preprocessing with Linear Regression
  2. Structured Data and Logistic Regression
  3. Time-Series Data and Decision Trees
  4. Unstructured Data Handling and Naive Bayes
  5. Real-time Data Streams and K-Nearest Neighbors
  6. Sparse Distributed Data and Support Vector Machines
  7. Anomaly Detection and Isolation Forests
  8. Stock Market Data and Ensemble Methods
  9. Data Engineering and ML Pipelines for Advanced Analytics
  Index

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  The meditation The Universe's...

  Max Topoff

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  This meditation will help you to meet your inner child again, to feel his power, tenderness and love.

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  Multiverse Theory - The Theories...

  Steff Jaywan

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  Multiverse theory posits the existence of multiple, possibly infinite, universes that exist parallel to our own, collectively forming what is known as the "multiverse." The origins of this theory are rooted in quantum mechanics and cosmology. In 1957, physicist Hugh Everett III proposed the "Many-Worlds Interpretation" of quantum mechanics, suggesting that all possible outcomes of quantum measurements are realized in some "world" or universe, leading to a vast number of parallel universes. In cosmology, theoretical models involving inflation (a rapid expansion of the universe after the Big Bang) suggest that different regions of space could stop inflating at different times, creating separate "bubble universes" with potentially different physical properties. 
    
  There are various types of multiverses proposed by scientists. A Level I multiverse includes regions beyond our observable universe, where regions sufficiently far away might have different physical conditions and histories. A Level II multiverse consists of universes with different physical constants and laws of physics, arising from different inflationary conditions. The Many-Worlds Interpretation of quantum mechanics is considered a Level III multiverse, where every quantum event branches into new universes. A Level IV multiverse encompasses universes with fundamentally different mathematical structures, including all possible mathematical realities.

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