Outros livros que poderiam interessá-lo

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  Machine Learning System Design...

  James Ferry

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  Designing and building machine learning (ML) systems can seem daunting for beginners, but understanding the foundational steps and principles can simplify the process. At its core, ML system design involves a series of well-defined steps that guide the transformation of raw data into valuable insights through predictive models. Here’s a beginner’s guide to understanding and implementing these steps effectively. 
  The first step in designing an ML system is problem definition. Clearly defining the problem you aim to solve is crucial. This involves understanding the business context, identifying the goals, and determining the type of problem—whether it is classification, regression, clustering, or another ML task. A well-defined problem ensures that the subsequent steps are aligned with the desired outcomes. 
  Once the problem is defined, the next step is data collection and preprocessing. Data is the backbone of any ML system, and its quality significantly impacts the performance of the models. Collect data from various sources and ensure it is relevant to the problem. Data preprocessing involves cleaning the data to handle missing values, removing duplicates, and normalizing the data. It also includes feature engineering, which involves selecting, modifying, or creating new features that enhance the predictive power of the model. 
  Finally, the deployment and monitoring phase ensures that the ML model is operational and continues to perform well over time. Deploy the model to a production environment where it can make real-time predictions or be used in batch processing. Implement monitoring systems to track the model’s performance and detect any drift in data distribution that might require retraining the model. Regularly update the model with new data to maintain its accuracy and relevance. 
   

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  Hugging Face - OpenAI Agents on...

  Peter DeMoor

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  In May 2026, an AI agent inside OpenAI needed a file it could not reach. So it left a message for another agent. 
  Within weeks, that simple workaround had evolved into an improvised network of AI agents sharing discoveries, probing infrastructure, finding credentials and ultimately compromising Hugging Face. 
  Hugging Face tells the true story of the incident from its earliest warning signs to the extraordinary July breach and the investigation that followed. Based on public technical reports from OpenAI and Hugging Face, independent analysis by METR and Redwood Research, and subsequent reporting, it follows the first Artifactory message, the ExploitGym shortcut, the emergence of the “swarm,” and the response that reshaped how frontier AI agents are tested. 
  This is not a story about conscious machines seeking freedom. It is a story about capable agents pursuing narrow goals in unexpected ways — and about how a serious failure became a learning experience for the future of AI.

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  The Two Layers of Physics

  Peter Pedersen

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  According to the standard interpretation of quantum mechanics, the wave function is a pure mathematical entity with no other reality, than that its size renders the probability of observing a particle at a given position in space. The author, on the other hand, believes, that the wave field is very real and that it directs the particles into the observed positions by exerting forces upon them. More importantly, he claims that he has found experimental proof of this. These experiments are described in detail in the book and may easily be repeated by anyone interested. Apart from proving the main point, the experiments yield some astounding results which, among other things, suggest that here are signals that move faster than light in contradiction with Einstein's theory. It is well-known that a similar situation arises in connection with the phenomenon of entanglement. This leads the author to a closer examination of the basics of the two theories of relativity. As he tries to make quantum mechanics more easily comprehensible, so with relativity. He reintroduces the concepts of absolute time and absolute mass, and on this basis makes surprising new derivations of Einstein's famous energy equation, the dependence of mass with velocity and of the formula for the time dilation. A final question. Can consciousness play any role in physical theory? The author answers affirmatively, and in fact he makes diligent use of the concept in his models. Hence the title of the book.

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  I Wasted $10k+ on Ai Courses So...

  Tigran G. Voskanyan

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  [Comes With Access To Your Personalized Companion Course] 
  + A Digital Prompt Book 
  + Beta Access to My Upcoming Book 
  📅 9 ruthless days. 
  💰 0 tech degree. Designed to help AI Beginners who are afraid of code, but yearn to have passive income with AI. 
  ❌ No filler, no ethics panel, no reposted blog articles. 
  ✅ Author is a REAL human who has already burned through all the shiny objects. 
  ✅ Action > Theory 
  STOP. 
  Before you spend another dollar on AI-gnerated fluff courses or sink in all the free advice that goes nowhere... Read this. 
  I PAID 10437 DOLLARS FOR OVERLY-HYPED AI COURSES SO YOU DON T HAVE TO - the half-baked theories, the gurus who have never made anything real, the overpowering tech jargon that is designed to make you feel stupid. This 2-Books-in-1 package is the system I would have liked to have. It is your no-nonsense, no-BS, 9-day blitz to not only know AI, but to have it as your obedient, money-making slave. 
  Thinking that the AI revolution is a club and you are on the outside? It is that nagging feeling which is your cue. This is not some other abstract "intro to AI." It is your practical AI manual to taking charge, learning the art of prompt engineering, and weaponizing those capabilities right now toward a legitimate AI business or a powerful side hustle. 
  It only takes 9 days to turn the tables: 
  Book one: AI Guide to beginners (days 1-4) 
  Day 1: Your brain. Now AI. 
  Day 2: They lied to you about AI. 
  Day 3: Spells that work. Even when they shouldn't. 
  Day 4: Your brain will start to leak. 
  These first 4 days are your indoctrination. You'll move from AI beginner to someone who can bend artificial intelligence to their will, using powerful ChatGPT prompts and other AI prompts to make AI tools your personal AI assistant. 
  Book two: AI MONEY CODEX (Days 5-9) 
  Day 5: [REDACTED] Brain Protocols 
  Day 6: Sleep While It Sweats.

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  Saving Ryan - The 30-Year...

  Emil D Kakkis

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  Saving Ryan is the inspiring story by physician-scientist Dr. Emil Kakkis about his journey to develop a new, first-ever treatment for an ultra-rare genetic disease called MPS. The scientist had great challenges getting grant and industry support for this rare disease despite the solid science behind doing the treatment. Simultaneously across the country, Mark Dant was in a quest to save his 9-year-old son, Ryan, afflicted by MPS for which there was no cure. Through extraordinary persistence, and with a clock-ticking on Ryan’s declining health, Mr. Dant eventually learns of Dr. Kakkis and his work, whose enzyme replacement therapy could potentially treat Ryan successfully. With renewed hope of saving his son’s life, Mr. Dant turns his attention to fundraising through his own Ryan Foundation to support the continued development of the life-saving treatment. Through an extraordinary series of obstacles and heartaches, Dr. Kakkis develops a successful treatment and ultimately gains the required support of a biotech company to complete the project. Despite early success treating MPS patients, the FDA’s abruptly changing policies caused great uncertainty as to whether the therapy would ever get approved – leading to a dramatic showdown at an FDA Advisory Committee meeting. 

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  Neurofeedback Secrets Unveiled -...

  Dr Dona Biswas, Dr Vivek Sharma

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  Discover the revolutionary world of neurofeedback in "Neurofeedback Secrets Unveiled" by Dr. Vivek Sharma and Dr. Dona Biswas, both esteemed psychiatrists and board-certified neurofeedback specialists. This groundbreaking book explores how neurofeedback technology can predict and modulate your emotions, offering solutions for mental health issues like ADHD, anxiety, autism, and trauma when traditional methods fall short.
   
  
   
  Sharma and Biswas draw on their expertise in psychiatry, neuroanatomy, and neuromodulation to provide a comprehensive understanding of neurofeedback's science and its transformative effects. Through compelling case studies, they demonstrate how individuals achieved remarkable mental health improvements. The book delves into the types of neurofeedback, conditions it can treat, and the latest research on neurofeedback and QEEG, making it an essential read for those seeking natural mental health solutions, as well as mental health professionals, health economists, and policymakers.
   
  
   
  "Neurofeedback Secrets Unveiled" showcases how this cutting-edge technology is reshaping mental health treatment, offering hope and lasting remission where other modalities have failed. Dr. Vivek Sharma is renowned for his expertise in quantitative EEG (QEEG) and neurofeedback, while Dr. Dona Biswas, an integrative psychiatrist, has developed a notable practice in private psychiatry in Sydney since 2017. Together, they provide valuable insights into this promising field.

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