Otros libros que te pueden interesar

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  Data Science for Everyone -...

  Craig Dames

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  Data science is a multidisciplinary field that combines statistics, computer science, and domain expertise to extract meaningful insights from data. In today's digital era, data is generated at an unprecedented rate, making data science one of the most valuable skills in various industries. From healthcare to finance, businesses leverage data science to improve decision-making, optimize processes, and drive innovation. 
  At its core, data science follows a structured approach that includes data collection, cleaning, exploration, modeling, and interpretation. The first step in any data science project is acquiring relevant data. This data can come from multiple sources, such as databases, APIs, or even social media. Once collected, it often requires cleaning, as raw data may contain errors, inconsistencies, or missing values that can impact the accuracy of analyses. 
  After cleaning, exploratory data analysis (EDA) helps uncover patterns, trends, and relationships within the data. Visualization techniques, such as charts and graphs, make it easier to understand complex datasets. EDA also aids in feature selection, a crucial step in preparing data for machine learning models. Machine learning, a subset of artificial intelligence, allows computers to learn from data and make predictions. Common machine learning techniques include supervised learning, where models learn from labeled data, and unsupervised learning, which identifies hidden patterns without predefined labels.

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  Psychic Reiki: Unlock the...

  Mari Silva

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  Discover the world of psychic Reiki and develop your energy healing skills! 
  Have you ever felt you have a calling to be a healer?  
  Have you ever wondered how you can use your innate healing skills to ease the pain of those around you? 
  Have you ever wanted to explore Reiki and psychic Reiki further? 
  Every person with psychic and healing abilities has likely felt the call to affect change around them and help people in pain. However, many do not know how to turn this call into reality. Reiki is the perfect way to help people in a non-invasive way while also helping them release stress and negative energy.  
  In this book, you will:Learn about energy and the chakrasUnderstand how to work with your Spirit GuidesLearn why clearing and grounding are importantExplore how to develop your psychic abilitiesFind several different psychic Reiki practicums you can use in your psychic Reiki practiceUnderstand how to heal both yourself and other peopleExplore how to heal people from a distance 
  Psychic Reiki will allow you to take your regular Reiki practice to the next level, incorporating your psychic abilities into the Reiki healing system. This system of Reiki does not need you to use symbols or hand positions, allowing you to help a greater range of people and heal yourself in the process.  
  So, click the “add to cart” button now and start your journey to understanding psychic Reiki!

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  Data Science for Beginners - A...

  Daniel Garfield

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  In an age where data reigns supreme, harnessing the power of information has become a paramount skill. "Data Science for Beginners" is your key to unlocking the secrets of data and delving into the captivating world of analytics. Whether you're a curious novice or an aspiring data enthusiast, this book offers a comprehensive and accessible introduction to the dynamic field of data science. 
  Embark on a journey of discovery as you uncover the fundamental principles and techniques that underpin data science. From understanding the different types of data and data formats to exploring the iterative data science process, you'll gain a solid foundation to navigate the vast sea of data with confidence. 
  Dive deep into the art of data acquisition and cleaning, learning how to gather and refine datasets from diverse sources. Discover the art of exploratory data analysis (EDA) through the lens of captivating visualizations, as you unravel hidden patterns, correlations, and trends within the data. 
  Delve into the heart of statistical analysis, mastering descriptive and inferential statistics to draw meaningful insights from data. Embrace the power of machine learning and its practical applications, from supervised learning for classification and regression to unsupervised learning for clustering and dimensionality reduction. 
  With a focus on ethical considerations, you'll explore the importance of data privacy, security, and fairness in the realm of data science. Discover how to evaluate model performance, ensuring the accuracy and reliability of machine learning algorithms. 
  Let "Data Science for Beginners" be your guiding light into the captivating realm of data exploration. 
   

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  Cobol - Cobol Basics for Beginners

  Andy Vickler

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  Have you been struggling to learn Cobol? Or, are you worried that you don't have the right skill set for a particular job? Have you been looking for a new career and trying to figure out what the best way to go about it is? 
  Cobol is a computer programming language used to write computer programs that are used in businesses. It is also a language used by accountants, auditors, and payroll professionals alike. This is a very easy-to-learn computer programming language that was initially used for business use. 
  Being a Cobol programmer requires that you have very good math skills, excellent attention to detail, and the ability to multitask in real time. If you enjoy a challenge, then this job may be for you. The following is an informative article that will outline what it takes to be a successful Cobol programmer. 
  If you are looking for a new career and want something that will provide stability, then Cobol programming may be the right path for you. 
  One of the reasons why COBOL programming is preferred over other languages is because of its versatility. COBOL can be used to program just about anything, depending on which library modules are selected for use in a particular program. There are many benefits of running Cobol. One such benefit is the ability to easily transition from one language to another. COBOL code can be translated into a Java or C++ code, for example, via a cross-compiler and a thorough understanding of both languages involved. This means that you can use your existing knowledge and expertise from one language, and then translate it into another that may be more suitable for the task at hand. 
  Jumpstart your career today with Cobol.

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  Parasites - The Inside Story

  Gabor Racz, Judy Diamond, Scott...

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  This book looks at the weird and wonderful world of parasites, the most abundant form of life on Earth. Parasites come in all forms and sizes and inhabit every free-living organism. Parasitism is now, and always has been, a way to survive under changing environmental conditions. From arctic oceans to tropical forests, Scott Gardner, Judy Diamond, and Gabor Racz investigate how parasites survive and evolve, and how they influence and provide stability to ecosystems. 
   
   
   
  Taking listeners to the open ranges of Mongolia, the Sandhills of north-central Nebraska, the Andes of Bolivia, and more, the authors examine the impact parasites have on humans and other animals. Using examples of parasites from throughout the tree of life, the authors describe parasite-host relationships as diverse as those between trematodes and snails and tapeworms and whales. Parasites offer clues to the evolutionary history of particular regions, and they can provide insights into the history of species interactions. Through parasites, biologists can weave together a global knowledge of the past to predict the challenges that we will face in the future. 
   
   
   
  Revealing that parasites are so much more than creepy-crawlies, this book gives up-to-date context for these critical members of the biological diversity of our planet.

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  Maths for AI - All Mathematics...

  Et Tu Code

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  Discover the core principles of Mathematics for Artificial Intelligence in our comprehensive ebook In the Introduction to Mathematics in AI understand the pivotal role of math in AI development Gain insights into its applications and the symbiotic relationship between the two fields 
  1. Introduction to Mathematics in AI Explore why math is crucial for AI development setting the stage for your learning journey 
  2. Essential Mathematical Concepts Delve into the foundational principles of AI from algebra to core operations essential for navigating the world of AI 
  3. Statistics for AI Grasp the statistical fundamentals underpinning AI algorithms Learn to interpret data and make informed decisions 
  4. Optimization in AI Understand optimization techniques to enhance AI performance finetuning algorithms for efficiency 
  5. Linear Algebra in AI Unlock the power of linear algebra in AI Explore matrices vectors and their applications 
  6. Calculus for Machine Learning Navigate calculus tailored for machine learning understanding differentiation and integrations role 
  7. Probability Theory in AI Unravel the mysteries of probability theory in AI applications gaining insights into probabilistic models 
  8. Advanced Topics in Mathematics for AI Explore advanced mathematical topics elevating your AI understanding 
  Stay tuned for sections on implementing AI math concepts with Python exploring math behind popular ML algorithms and applications like computer vision and NLP Build a solid math foundation for AI success

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