Outros livros que poderiam interessá-lo

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  Off-World Influencers - The dark...

  Mr Haakon Bunaes

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  This audiobook is narrated by an AI Voice. This audiobook is a provocative encyclopedia uncovering 79 distinct extraterrestrial races reportedly visiting or influencing Earth. 
  With UFOs (now UAP) officially confirmed as real, the big question remains: who's behind them? Drawing from eyewitness accounts, insider sources, and documented encounters, it delivers authentic portrayals of alien beings—from classic small Greys with large black eyes, to human-like visitors who blend in seamlessly, insectoid mantis entities, and scaled reptilians tied to ancient and modern sightings. 
  Discover their origins, technologies, agendas, and hidden roles in human history—some benevolent observers, others far more enigmatic. 
  No other resource compiles such an extensive catalog. Whether believer, skeptic, or curious, this essential listen expands your worldview and prepares you for the future of cosmic contact. 
  Dare to step in... and see how deep the rabbit hole goes.

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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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  Employment is Dead - How...

  Deborah Perry Piscione, Josh Drean

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  Business is on the cusp of an inevitable and profound transformation. The tools of tomorrow will amplify human potential, from collaborating in virtual spaces through digital avatars, to managing transactions transparently on the blockchain. Those who embrace these technologies—and the manner in which people want to work—will unleash unprecedented levels of productivity and innovation. Conversely, those who remain tethered to outdated work patterns risk losing out on the best talent, and even becoming obsolete. 
   
   
   
  Employment Is Dead ventures into unexplored territories to reveal how these innovations can transform work into more democratic, human-centric, and empowering work experiences. Deborah Perry Piscione and Josh Drean bring to life the seismic shifts occurring in the workforce, propelled by employees' growing demand for autonomy, flexibility, and a sense of purpose in their work. The authors challenge leaders to embrace these changes, offering vital insights into navigating this new landscape. With compelling case studies and cutting-edge examples, this book is a must-listen for those aiming to stay ahead in a rapidly evolving digital environment and harness disruptive technologies to redefine the future of work.

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  Perfumes And Blood - A crime and...

  Ahmed Ewis

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  The novel "Perfumes and Blood" follows the story of Dr. Khaled, a doctor who encounters his childhood friend Fadel, an expert in herbal and perfume experiments. Intrigued, Khaled decides to experiment with these herbs and perfumes, only to discover that they expand his consciousness and lead to hallucinations. As a result, Khaled finds himself transported to different realms, constantly grappling with the blurred lines between reality and imagination. However, these hallucinations reveal astonishing truths and embroil him in a major case that he must solve. Throughout his journey, Khaled uses his exceptional abilities to uncover secrets and confront various challenges. The novel combines elements of mystery and fantasy, exploring the concepts of truth and reality in a captivating and thrilling manner. Notably, the audiobook version of the novel features a renowned cast of Arab stars and artists.

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  Committed - Dispatches from a...

  Adam Stern

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  Grey’s Anatomy meets One L in this psychiatrist’s charming and poignant memoir about his residency at Harvard. 
   Adam Stern was a student at a state medical school before being selected to train as a psychiatry resident at one of the most prestigious programs in the country. His new and initially intimidating classmates were high achievers from the Ivy League and other elite universities around the nation. Faculty raved about the group as though the residency program had won the lottery, nicknaming them “The Golden Class,” but would Stern ever prove that he belonged? 
   In his memoir, Stern pulls back the curtain on the intense and emotionally challenging lessons he and his fellow doctors learned while studying the human condition, and ultimately, the value of connection. The narrative focuses on these residents, their growth as doctors, and the life choices they make as they try to survive their grueling four-year residency. Rich with drama, insight, and emotion, Stern shares engrossing stories of life on the psychiatric wards, as well as the group’s experiences as they grapple with impostor syndrome and learn about love and loss. Most importantly, as they study how to help distressed patients in search of a better life, they discover the meaning of failure and the preciousness of success.  
   Stern’s growth as a doctor, and as a man, have readers rooting for him and his patients, and ultimately find their own hearts fuller for having taken this journey with him.

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  Target Earth - Meteorites...

  Govert Schilling

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  An acclaimed science writer tells the story of cosmic projectiles that may be on a collision course with our Earth. 
   
   
   
  The impact of an asteroid led to the extinction of the dinosaurs. Could another giant cosmic missile soon be heading our way? In Target Earth, acclaimed Dutch astronomy writer Govert Schilling provides a full account of what we know, and need to know, about all the extraterrestrial matter constantly bombarding our planet—from microscopic dust particles and space debris to massive meteorites, comets, and asteroids. 
   
   
   
  Drawing upon the latest scientific discoveries, Schilling explores virtually every aspect of cosmic impacts—from small meteorites to devastating collisions, from the craters that marked our planet's surface to the impacts that left their mark on other celestial bodies, and from searches for near-miss lumps of rock to ways of protecting humanity from an assault from the cosmos. Along the way, he considers near misses in the past and the possibility of others in the future and ponders the positive side of these visitations from space: If our planet had not been the target of cosmic rubble from its very formation, life on Earth would likely never have gotten started.

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