Other books that might interest you

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  Ballistic - The New Science of...

  Henry Abbott

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  Blending cutting-edge science with gripping storytelling, award-winning data journalist and competitive amateur athlete Henry Abbott reveals that we are on the cusp of a new era in sports medicine, built around the science of ballistic movements—leaping and landing—and the unique fingerprint of your body's physics. 
   
   
   
  Abbott's inspiring narrative tells the story of sports scientist Dr. Marcus Elliott and the Peak Performance Project (P3), who use technology to study how athletes move and why they get hurt. Applying machine learning and lessons from biomechanics, medicine, and physiology, doctors at P3 can now detect elevated risk of an ACL tear or a pulled hamstring like an echocardiogram can see warning signs of a heart attack. 
   
   
   
  Through riveting stories of elite athletes overcoming injuries and pushing themselves to the limit, Abbott presents an evidence-based case for intervening early to protect our bodies. And he suggests that we can all harness the science of ballistic movement not just to run fast or jump high but to move with joy and lead fulfilling athletic lives.

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  Python Machine Learning for...

  Alexa Campbell

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  Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step. 
  Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning gradually improves its accuracy, eventually providing the optimal results for the problem it has been assigned to. 
  It is one of the most important parts of data science and, as big data continues to expand, so too will the need for machine learning and AI. 
  Here's what you will learn in this quick guide to machine learning with Python for beginners:What machine learning isWhy Python is the best computer programming language for machine learningThe different types of machine learningHow linear regression worksThe different types of classificationHow to use SVMs (Support Vector Machines) with Scikit-LearnHow Decision Trees work with ClassificationHow K-Nearest Neighbors worksHow to find patterns in data with unsupervised learning algorithms 
  You will also find plenty of code examples to help you understand how everything works. 
  If you are ready to take your programming further, scroll up, click Buy Now, and find out why machine learning is the next logical step.

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  PCCN Study Guide 2024-2025 -...

  Shawn Blake

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  Why 1 in 4 nurses fail the PCCN exam on their first try (and what you can do differently)... 
  Success on the PCCN exam requires more than just rote memorization or sharp test-taking skills. 
    
  It requires strategy. A systematic approach that helps you break down and translate each question into familiar terms, so you can make full use of your clinical judgment and silence exam anxiety. 
    
  This book provides you with that strategy. 
     
  Inside, you’ll discover: 
    
  ●     A simple 4-step approach that lets you dissect each question on the exam and narrow down your options by tapping into your clinical expertise 
  ●     Which biological systems and diseases make up the most significant portion of the exam 
  ●     The core components of the AACN’s Synergy Model, and which aspects you’re likely to be tested on 
  ●     What to know before you start studying — this is vital to helping you squeeze the most out of your study prep 
  ●     Three full-length practice test that includes 125 unique questions and detailed answer explanations, plus 50 extra practice questions to help reinforce your knowledge for each section on the PCCN 
    
  And much more! 
    
  By the end, you’ll know what to expect on every section of the exam, including the most critical points many nurses forget about. So even if you’re still starting to build out your career, you’ll have a winning strategy that can help maximize your chances of passing the PCCN on your first try. 
    
  Take the next step toward earning your PCCN certification

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  Firing the Cloud - How Humanity...

  Ylia Callan

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  This audiobook is narrated by an AI Voice. Firing the Cloud: How Humanity Survived and Accelerated is a sweeping, provocative journey through 15,000 years of human history tracing how we evolved from small, fire-lit bands of hunter-gatherers to a globally networked civilisation living inside a digital cloud. 
   
  The book explores the great transitions that shaped us: the Agricultural Revolution’s trade of autonomy for stability, the Industrial Age’s relentless acceleration and the Technological Era’s shift from reality to virtuality. Each chapter weaves anthropology, history, and systems thinking to reveal what we gained and what we lost at every turn. 
   
  Thoughtful, urgent and ultimately hopeful, this audiobook challenges listeners to become memory-keepers of the human story and to shape a future that is not only faster, but wiser.

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  Mastering Time Series Analysis...

  Sulekha Aloorravi

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  Decode the language of time with Python. Discover powerful techniques to analyze, forecast, and innovate.
  Book Description
  "Mastering Time Series Analysis and Forecasting with Python" is an essential handbook tailored for those seeking to harness the power of time series data in their work.The book begins with foundational concepts and seamlessly guides readers through Python libraries such as Pandas, NumPy, and Plotly for effective data manipulation, visualization, and exploration. Offering pragmatic insights, it enables adept visualization, pattern recognition, and anomaly detection.
  
  Advanced discussions cover feature engineering and a spectrum of forecasting methodologies, including machine learning and deep learning techniques such as ARIMA, LSTM, and CNN. Additionally, the book covers multivariate and multiple time series forecasting, providing readers with a comprehensive understanding of advanced modeling techniques and their applications across diverse domains.Readers develop expertise in crafting precise predictive models and addressing real-world complexities. Complete with illustrative examples, code snippets, and hands-on exercises, this manual empowers readers to excel, make informed decisions, and derive optimal value from time series data.
  
  Table of Contents
  1. Introduction to Time Series
  2. Overview of Time Series Libraries in Python
  3. Visualization of Time Series Data
  4. Exploratory Analysis of Time Series Data
  5. Feature Engineering on Time Series
  6. Time Series Forecasting – ML Approach Part 1
  7. Time Series Forecasting – ML Approach Part 2
  8. Time Series Forecasting - DL Approach
  9. Multivariate Time Series, Metrics, and Validation      
  Index

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  Artificial Intelligence and Data...

  Alexandre Ribas Semeler

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  This book constitutes a comprehensive exploration of two pivotal domains that are indispensable for comprehending the contemporary challenges confronting science and society: artificial intelligence and data science. These disciplines profoundly influence the generation of knowledge, the development of innovations, and the resolution of complex problems in various domains of social, economic, political, and cultural life. Entitled Artificial Intelligence and Data Science Practices in Scientific Development, this book compiles studies and applications from research groups collaborating at the intersection of technology, information, and scientific innovation and cultural areas.

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