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Electromagnetic Geophysical Fields
  • Language: en
  • Pages: 225

Electromagnetic Geophysical Fields

  • Type: Book
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  • Published: 2019-04-16
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  • Publisher: Springer

This book develops the theory of electromagnetic (EM) precursors to seaquakes (i.e. underwater earthquakes) and tsunamis, including the sequential stages of the transformation of a weak seismic mechanical excitation of the sea bottom into EM signals in the atmosphere. It further examines the relationship between geophysics and biophysics, using appropriate mathematical support, and a new model of the magnetic location of the epicenter of a possible land earthquake is described, as well as a block-scheme of the multidisciplinary multilevel seaquake monitoring complex. Also discussed are measured changes of brain bioelectric activity and heart functioning under the influence of moderate geomagnetic storms. Written for researchers and specialists (e.g. upper level undergraduates, postgraduates, scientists) in mathematical, computational, geophysical, biophysical, geodynamical, seismological and prognostic disciplines, this book provides multidisciplinary data and analytical tools supporting the theory and practice of seismic prognosis, promoting further understanding of novel marine and land monitoring systems.

Bayesian Optimization in Action
  • Language: en
  • Pages: 422

Bayesian Optimization in Action

Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy. Put its advanced techniques into practice with this hands-on guide. In Bayesian Optimization in Action you will learn how to: Train Gaussian processes on both sparse and large data sets Combine Gaussian processes with deep neural networks to make them flexible and expressive Find the most successful strategies for hyperparameter tuning Navigate a search space and identify high-performing regions Apply Bayesian optimization to cost-constrained, multi-objective, and preference optimization Implement Bayesian optimization with PyTorch, GPyTorch, and BoTorch Bayesian Optimization...

Statistics Slam Dunk
  • Language: en
  • Pages: 670

Statistics Slam Dunk

Statistics Slam Dunk is an action-packed book that will help you build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. This textbook will upgrade your R data science skills by taking on practical analysis challenges based on NBA game and player data.

Demand Forecasting Best Practices
  • Language: en
  • Pages: 292

Demand Forecasting Best Practices

Lead your demand planning process to excellence and deliver real value to your supply chain. In Demand Forecasting Best Practices you’ll learn how to: Lead your team to improve quality while reducing workload Properly define the objectives and granularity of your demand planning Use intelligent KPIs to track accuracy and bias Identify areas for process improvement Help planners and stakeholders add value Determine relevant data to collect and how best to collect it Utilize different statistical and machine learning models An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. Demand Forecastin...

Feature Engineering Bookcamp
  • Language: en
  • Pages: 270

Feature Engineering Bookcamp

Deliver huge improvements to your machine learning pipelines without spending hours fine-tuning parameters! This book’s practical case-studies reveal feature engineering techniques that upgrade your data wrangling—and your ML results. In Feature Engineering Bookcamp you will learn how to: Identify and implement feature transformations for your data Build powerful machine learning pipelines with unstructured data like text and images Quantify and minimize bias in machine learning pipelines at the data level Use feature stores to build real-time feature engineering pipelines Enhance existing machine learning pipelines by manipulating the input data Use state-of-the-art deep learning models...

Julia for Data Analysis
  • Language: en
  • Pages: 470

Julia for Data Analysis

Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more. In Julia for Data Analysis you will learn how to: Read and write data in various formats Work with tabular data, including subsetting, grouping, and transforming Visualize your data Build predictive models Create data processing pipelines Create web services sharing results of data analysis Write readable and efficient Julia programs Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super-fast code execution. Julia for Data Analysis shows you how to take full advantage ...

Experimentation for Engineers
  • Language: en
  • Pages: 246

Experimentation for Engineers

Optimize the performance of your systems with practical experiments used by engineers in the world’s most competitive industries. In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to: Design, run, and analyze an A/B test Break the "feedback loops" cause by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization Clearly define business metrics used for decision making Identify and avoid the common pitfalls of experimentation Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new feature...

Introduction to Generative AI
  • Language: en
  • Pages: 334

Introduction to Generative AI

Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that itâ...

Grokking Web Application Security
  • Language: en
  • Pages: 334

Grokking Web Application Security

When you launch an application on the web, every hacker in the world has access to it. Are you sure your web apps can stand up to the most sophisticated attacks? Trying to teach yourself about web security from the internet can feel like walking into a huge disorganized library—one where you can never find what you need, and the wrong advice might endanger your application! You need a single, all-in-one guide to securing your apps against all the attacks they can and will face. You need Grokking Web Application Security. This brilliantly illustrated and clearly written guide delivers detailed coverage on: Browser security, including sandboxing, the same-origin policy, and cookie security S...

Grokking Data Structures
  • Language: en
  • Pages: 278

Grokking Data Structures

Don’t be perplexed by data structures! This fun, friendly, and fully illustrated guide makes it easy to learn useful data structures you’ll put to work every day. Grokking Data Structures makes it a breeze to learn the most useful day-to-day data structures. You’ll follow a steady learning path from absolute basics to advanced concepts, all illustrated with fun examples, engaging industry stories, and hundreds of graphics and cartoons. In Grokking Data Structures you’ll learn how to: • Understand the most important and widely used data structures • Identify use cases where data structures make the biggest difference • Pick the best data structure solution for a coding challenge...