D'autres livres qui pourraient vous intéresser

• 

  Ultimate Python Libraries for...

  Abhinaba Banerjee

  • 0
  • 0
  • 0

  Test your Data Analysis skills to its fullest using Python and other no-code tools
   
  
  
   
  Book Description
  Ultimate Data Analysis and Visualization with Python is your comprehensive guide to mastering the intricacies of data analysis and visualization using Python. This book serves as your roadmap to unlocking the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Starting with the fundamentals of data acquisition, you'll learn essential techniques for gathering and preparing data for analysis. From there, you’ll dive into exploratory data analysis, uncovering patterns and relationships hidden within your datasets. 
   
  
  
   
  Through step-by-step tutorials, you'll gain proficiency in statistical analysis, time series forecasting, and signal processing, equipping you with the tools to extract actionable insights from any dataset. What sets this book apart is its emphasis on real-world applications. With a series of hands-on projects, you’ll apply your newfound skills to analyze diverse datasets spanning industries such as finance, healthcare, e-commerce, and more. 
   
  
  
   
  By the end of the book, you'll have the confidence and expertise to tackle any data analysis challenge with Python. To aid your journey, the book includes a handy Python cheat sheet in the appendix, serving as a quick reference guide for common functions and syntax. 
   
  
  
   
  Table of Contents
  
  1. Introduction to Data Analysis and Data Visualization using Python
  2. Data Acquisition
  3. Data Cleaning and Preparation
  4. Exploratory Data Analysis
  5. Statistical Analysis
  6. Time Series Analysis and Forecasting
  7. Signal Processing
  8. Analyzing Real-World Data Sets using Python   
  APPENDIX A Python Cheat Sheet   
  Index

  Voir livre

• 

  ASMR Whisper Therapy and Hypnosis

  Whispering Voice

  • 0
  • 0
  • 0

  ASMR Whisper Therapy and Hypnosis is a transformative journey that combines the calming power of ASMR with the healing potential of hypnotherapy. As you listen to the soft, gentle whispers, you are guided into a deep state of relaxation where your subconscious mind can absorb therapeutic suggestions, helping to reduce stress, relieve anxiety, and bring emotional balance. Each whisper is designed to create a soothing atmosphere, allowing you to fully unwind and embrace a sense of peace. 
  This audiobook is perfect for anyone seeking to calm their mind, release negative emotions, and reset their energy. Whether you’re dealing with everyday stress, insomnia, or emotional overwhelm, ASMR Whisper Therapy and Hypnosis helps you enter a state of profound relaxation, opening the door to healing and self-discovery. The whispers guide you to let go of tension, gently leading you to a place of inner calm where you can truly rejuvenate. 
  Ideal for those who enjoy the sensory experience of ASMR and the transformative power of hypnosis, this audiobook offers an easy way to unwind after a long day, improve your emotional well-being, and restore your mental clarity. Surrender to the whispers, and allow your mind and body to reset, relax, and heal.

  Voir livre

• 

  The Primacy of Doubt - From...

  Tim Palmer

  • 0
  • 0
  • 0

  Why does your weather app say “there’s a 10 percent chance of rain” instead of “it will be sunny”? In large part, this is due to the insight of award-winning physicist Tim Palmer, who pioneered the introduction of uncertainty into weather and climate prediction.  
  Now, he wants to apply it to how we study everything else. 
   
  In The Primacy of Doubt, Palmer gives us a revolutionary vision of mathematical uncertainty that provides new insights into a range of practical problems and some of the deepest questions in science and philosophy. He draws connections that are in equal parts unexpected  
  and fascinating: how ensemble forecasts can predict unpredictability, how the brain uses noise for creative thinking, how the geometry of chaos forces us to rewrite the laws of quantum mechanics, and in so doing reconciles determinism, free will, and moral responsibility.  
   
  A tour de force from a brilliant mind, The Primacy of Doubt shows that the fundamental law of the universe might just be to expect the unexpected.

  Voir livre

• 

  Uncommon Ground: Rethinking our...

  Patrick Galbraith

  • 0
  • 0
  • 0

  ‘A curious-minded and subtle intervention in the politics of the countryside’ Sunday Times 
  'Galbraith spent three years investigating the truth about rural Britain and how we treat it. Uncommon Ground is the brilliant result' Daily Telegraph 
  'Very funny. Acutely observed. An attempt to look beyond the usual clichés of country life' Observer 
  “Brilliant. This book is a sort of necessary clever trespass itself, on everyone’s notions about ‘our land’.”Country Life 
  "Filled with voices from people who don’t always make the headlines in the UK land access debate."Scotsman 
  The countryside is under increasing pressure and people, the science shows, need nature. Access to the countryside is essential for our health, our happiness and our future. But does nature need us? 
  In January 2023, the largest land access demonstration since the 1930s took place on a bright wintery morning on Dartmoor. The access movement demands that the countryside be thrown open. This, they argue, would help nature by giving the public the opportunity to hold farmers and wealthy landowners to account. 
  But would it really work for Britain’s growing population to spill out across the countryside, and is access quite as restricted as we are led to believe? 
  In Uncommon Ground, Patrick Galbraith takes us on an extraordinary tour of rural Britain, from the Hebrides to Devon, and from Anglo-Saxon England to the present day. To uncover the truth and fully understand our deep connection with the land, he meets farmers, Irish Travellers, politicians, salmon poachers, and the nation's most-hated landowners, as well as activists calling for a total abolition of the right to own land. 
  In his much-celebrated style, Galbraith works hard to listen to those who often don’t get listened to. This raking survey of our fast-changing country, reveals the essence of rural Britain's soul. Uncommon Ground argues that what matters is not greater access but how we engage with the land and demands that landowners give us more opportunities to do so, while also giving endangered wildlife the right to tranquility. 
  Galbraith's Uncommon Ground is a top pick in non-fiction, offering a deep dive into the science of agriculture and the sociology of rural Britain. The book explores the delicate balance between public access and environmental protection, examining the political policies that shape our interactions with the land and the ecosystems that inhabit it. 
  For fans of John Lewis-Stempel (England), Benedict Macdonald (Cornerstones), Lee Schofield (Wild Fell), Isabella Tree (Wilding), and Derek Gow (Birds, Beasts and Bedlam). 
  HarperCollins 2025

  Voir livre

• 

  Machine Learning with Python -...

  Alexander Cane

  • 0
  • 0
  • 0

  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.

  Voir livre

• 

  Truth: A Brief History of Total...

  Tom Phillips

  • 0
  • 0
  • 0

  This is a book about TRUTH—and all the ways we try to avoid it—from the bestselling author of Humans: A Brief History of How We F*cked It All Up.We live in a “post-truth” world, we’re told. But was there ever really a golden age of truth-telling? Or have people been lying, fibbing and just plain bullsh*tting since the beginning of time?Tom Phillips, editor of a leading independent fact-checking organization, deals with this question every day. In Truth, he tells the story of how we humans have spent history lying to each other—and ourselves—about everything from business to politics to plain old geography. Along the way, he chronicles the world’s oldest customer service complaint, the Great Moon Hoax of 1835 and the surprisingly dishonest career of Benjamin Franklin.Sharp, witty and with a clear-eyed view of humanity’s checkered past, Truth reveals why people lie—and how we can cut through the bullsh*t.

  Voir livre