Zion Tech Group

Tag: Applications

  • Machine Learning Theory and Applications (Hardback or Cased Book)



    Machine Learning Theory and Applications (Hardback or Cased Book)

    Price : 113.52 – 94.60

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    Machine Learning Theory and Applications: A Comprehensive Guide

    In this hardback or cased book, readers will delve into the world of machine learning theory and its practical applications. From the fundamentals of machine learning algorithms to advanced techniques and real-world case studies, this book offers a comprehensive guide to understanding and implementing machine learning in various domains.

    Featuring contributions from leading experts in the field, this book covers topics such as:

    – Theoretical foundations of machine learning
    – Supervised, unsupervised, and reinforcement learning algorithms
    – Deep learning and neural networks
    – Natural language processing and computer vision
    – Applications in healthcare, finance, marketing, and more

    Whether you are a student, researcher, or industry professional, this book serves as a valuable resource for gaining a deeper understanding of machine learning theory and how it can be applied to solve complex problems in diverse fields. Dive into the world of machine learning with this essential guide.
    #Machine #Learning #Theory #Applications #Hardback #Cased #Book,machine learning: an applied mathematics introduction

  • State Department freezes nonbinary passport applications as Rubio rolls out Trump’s anti-LGBT agenda


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    Secretary of State Marco Rubio has ordered the US State Department to immediately suspend all applications for passports with the “X” gender marker, a third option introduced by the agency under the Biden administration for nonbinary, intersex and other gender nonconforming persons.

    An internal email first reported by The Guardian documented the move. It orders the suspension of any passport applications for persons who did not mark either “male” or “female” in the gender section. It also identifies biological sex as the term that will be used going forward, noting: “The policy of the United States is that an individual’s sex is not changeable.”

    Active requests for the agency to change gender markers on existing passports were also halted.

    Secretary of State Marco Rubio moved quickly to implement Donald Trump’s executive order, ending the state’s recognition of trans people.

    Secretary of State Marco Rubio moved quickly to implement Donald Trump’s executive order, ending the state’s recognition of trans people. (REUTERS)

    It’s a decision in line with an executive order issued by President Donald Trump this week directing the federal government to halt recognition of gender identies, part of the war on “wokeness” and the acceptance of transgender rights by the previous administration. That order, described as efforts to prevent “eradicat[ion of] the biological reality of sex,” is a broad swipe at any recognition of transgender persons other than their sex at birth.

    “The erasure of sex in language and policy has a corrosive impact not just on women but on the validity of the entire American system. Basing Federal policy on truth is critical to scientific inquiry, public safety, morale, and trust in government itself,” claims Trump’s order.

    Rubio’s directive at the State Department will not suspend any currently-active passports, and those issued with the new markers under Biden’s presidency will not expire in the next four years. But the policy will require those persons with “X” gender passports to mark either male or female when they do seek renewal of their passports if the policy has not reverted.

    Passports with the “X” marker were first issued by the agency in April of 2022, with a 10-year lifespan. It isn’t known exactly how many Americans applied for those passports or completed applications to have their gender changed on their passports in the months following.

    All applications for passports with the “X” gender marker will be immediately suspended

    All applications for passports with the “X” gender marker will be immediately suspended (AFP via Getty Images)

    Lambda Legal, a legal group specializing in LGBT civil rights cases, told The Intercept that the new policy “will certainly be challenged.”

    “Their appalling approach denies science and will make life immeasurably harder for intersex, nonbinary, and of course, transgender people,” the group’s director added in a statement.

    The group began a legal battle over the issue in 2015 after an intersex person (naturally born with characteristics of both or neither gender) requested a passport without male or female gender markers, but was denied.

    The battle persisted through the first Trump administration and into Biden’s first year in office, when the agency announced it would begin issuing “X” gender markers.

    The webpage on the agency’s website marking that announcement was taken down this week, according to a review of screenshots.

    Rubio was the first Trump Cabinet secretary to be confirmed, breezing through a unanimous vote this week just hours after the president was sworn in.

    He’s due to make his first foreign trip around the end of the month, news reports revealed on Wednesday. He will head through Central America as his boss rolls out a massive plan to curb both legal and illegal migration to the US through the southern border.



    The State Department’s recent decision to freeze nonbinary passport applications has sparked outrage and concern among the LGBTQ+ community. This move comes as Senator Marco Rubio unveils his plan to roll out former President Trump’s anti-LGBT agenda.

    Many are expressing frustration and disappointment over the State Department’s decision, which effectively halts any progress made towards recognizing and affirming nonbinary individuals. This move not only undermines the rights of nonbinary individuals but also perpetuates discrimination and exclusion.

    Senator Rubio’s announcement of his intention to push forward with Trump’s anti-LGBT agenda only adds fuel to the fire. This decision threatens to erode the progress made towards equality and inclusivity for the LGBTQ+ community.

    As advocates and allies continue to fight for equal rights and recognition for all individuals, it is crucial to stand together and push back against these harmful policies. The fight for equality is far from over, and it is more important than ever to resist any attempts to roll back the rights of marginalized communities.

    Tags:

    • State Department nonbinary passport freeze
    • Rubio anti-LGBT agenda
    • Trump administration policy
    • LGBTQ+ rights
    • Passport application freeze
    • State Department news
    • Nonbinary gender identity
    • LGBT discrimination
    • Transgender rights
    • Government policies on gender identity

    #State #Department #freezes #nonbinary #passport #applications #Rubio #rolls #Trumps #antiLGBT #agenda

  • AI Engineering: Building Applications with Foundation Models by Chip Huyen (Engl



    AI Engineering: Building Applications with Foundation Models by Chip Huyen (Engl

    Price : 111.44

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    AI Engineering: Building Applications with Foundation Models by Chip Huyen

    In her book “AI Engineering: Building Applications with Foundation Models,” Chip Huyen explores the world of artificial intelligence engineering and how to build applications using foundation models. Huyen, a former software engineer at Google and a machine learning engineer at Twitter, provides valuable insights into the process of designing and implementing AI applications that leverage the power of foundation models.

    Foundation models are large-scale pre-trained models that can be fine-tuned for specific tasks, making them a powerful tool for building AI applications. In her book, Huyen covers topics such as data collection, model training, and deployment, as well as best practices for building scalable and reliable AI systems.

    Whether you’re a seasoned AI engineer or just starting out in the field, “AI Engineering: Building Applications with Foundation Models” is a must-read for anyone looking to harness the full potential of artificial intelligence in their projects. Get your copy today and start building cutting-edge AI applications with foundation models.
    #Engineering #Building #Applications #Foundation #Models #Chip #Huyen #Engl,ai engineering: building applications with foundation models

  • Machine Learning: Theory To Applications



    Machine Learning: Theory To Applications

    Price : 194.51

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    Machine Learning: Theory To Applications

    Machine learning is a rapidly growing field that has the potential to revolutionize industries and create innovative solutions to complex problems. From self-driving cars to personalized recommendations on streaming platforms, machine learning is already making a significant impact on our daily lives.

    But how does machine learning work? At its core, machine learning is about using algorithms to analyze data, learn from it, and make predictions or decisions based on that data. This process involves training a model on a large dataset, testing its performance, and then deploying it in real-world applications.

    There are several key concepts and techniques that underpin machine learning, including supervised learning, unsupervised learning, reinforcement learning, and deep learning. Each of these approaches has its own strengths and weaknesses, and can be applied in different contexts to solve a wide range of problems.

    In practice, machine learning is being used in a variety of applications, such as image and speech recognition, natural language processing, recommendation systems, fraud detection, and predictive maintenance. These applications are transforming industries like healthcare, finance, transportation, and marketing, and are driving innovation and growth in the global economy.

    As machine learning continues to evolve and mature, it is important for researchers, developers, and practitioners to stay up-to-date on the latest theories, techniques, and applications in the field. By understanding the fundamentals of machine learning and how it can be applied to real-world problems, we can unlock its full potential and drive positive change in the world.
    #Machine #Learning #Theory #Applications,machine learning: an applied mathematics introduction

  • Modern Machine Learning Techniques and Their Applications



    Modern Machine Learning Techniques and Their Applications

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    Modern Machine Learning Techniques and Their Applications

    In recent years, machine learning has seen tremendous advancements and innovations, leading to the development of new and powerful techniques that have revolutionized various industries. From image recognition to natural language processing, machine learning algorithms are now capable of performing complex tasks with incredible accuracy and efficiency.

    One of the most popular modern machine learning techniques is deep learning, which involves using neural networks with multiple layers to extract high-level features from data. Deep learning has been widely used in applications such as computer vision, speech recognition, and autonomous driving.

    Another important technique is reinforcement learning, where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties based on its actions. This technique has been successfully applied in areas like game playing, robotics, and finance.

    Transfer learning is another powerful technique that allows models trained on one task to be fine-tuned for another related task, saving time and resources. This has been particularly useful in applications like sentiment analysis, object detection, and medical image analysis.

    Other modern machine learning techniques include generative adversarial networks (GANs) for generating realistic images, graph neural networks for analyzing relational data, and meta-learning for quickly adapting to new tasks.

    Overall, these modern machine learning techniques have opened up new possibilities and opportunities for businesses and researchers across various domains. With continued research and innovation, the potential applications of machine learning are limitless.
    #Modern #Machine #Learning #Techniques #Applications,machine learning: an applied mathematics introduction

  • Fundamentals of Complex Analysis with Applications to Engineering and Science (Classic Version) (Pearson Modern Classics for Advanced Mathematics Series)


    Price: $133.32 – $93.73
    (as of Jan 22,2025 19:12:39 UTC – Details)




    Publisher ‏ : ‎ Pearson; 3rd edition (February 13, 2017)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 576 pages
    ISBN-10 ‏ : ‎ 0134689488
    ISBN-13 ‏ : ‎ 978-0134689487
    Item Weight ‏ : ‎ 1.6 pounds
    Dimensions ‏ : ‎ 6.9 x 1.2 x 9.2 inches

    Customers say

    Customers find the book helpful for beginners in learning complex analysis. They appreciate the clear and concise language that articulates challenging material in an easy-to-understand manner. The writing style is well-written and reinforces the concepts presented.

    AI-generated from the text of customer reviews


    In this post, we will explore the classic version of “Fundamentals of Complex Analysis with Applications to Engineering and Science” from the Pearson Modern Classics for Advanced Mathematics Series. This timeless textbook provides a comprehensive introduction to the theory of complex variables and their applications in engineering and science.

    The book covers topics such as complex numbers, functions of a complex variable, contour integration, series, residues, and conformal mapping. It also includes numerous examples and exercises to help readers develop their understanding and problem-solving skills.

    Whether you are a student studying mathematics, engineering, physics, or another scientific discipline, this book is a valuable resource for gaining a deep understanding of complex analysis and its practical applications. It is also suitable for self-study and reference for professionals working in fields that require complex analysis techniques.

    If you are looking to enhance your knowledge of complex analysis and its applications, “Fundamentals of Complex Analysis with Applications to Engineering and Science” is a must-have addition to your library. Get your hands on this classic textbook and unlock the power of complex variables in your studies and research.
    #Fundamentals #Complex #Analysis #Applications #Engineering #Science #Classic #Version #Pearson #Modern #Classics #Advanced #Mathematics #Series,machine learning: an applied mathematics introduction

  • Machine Learning Methods for Ecological Applications



    Machine Learning Methods for Ecological Applications

    Price : 88.69

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    Machine learning methods have become increasingly popular in ecological research due to their ability to analyze large and complex datasets, identify patterns and trends, and make predictions. In this post, we will explore some of the most commonly used machine learning methods in ecological applications.

    1. Random Forest: Random forest is a versatile and powerful machine learning method that is widely used in ecological research. It works by constructing multiple decision trees and combining their predictions to make more accurate and robust predictions. Random forest can be used for a wide range of ecological tasks, such as species distribution modeling, habitat suitability analysis, and biodiversity estimation.

    2. Support Vector Machines (SVM): SVM is another popular machine learning method that is commonly used in ecological applications. SVM works by finding the optimal hyperplane that separates data points into different classes. It is particularly useful for tasks such as species classification, land cover mapping, and remote sensing analysis.

    3. Neural Networks: Neural networks are a type of deep learning method that can be used for a variety of ecological applications. They are particularly well-suited for tasks that involve complex and non-linear relationships, such as image recognition, time series analysis, and ecological forecasting.

    4. K-means Clustering: K-means clustering is a simple but powerful unsupervised machine learning method that is commonly used in ecological research. It works by partitioning a dataset into a specified number of clusters based on similarities in the data. K-means clustering can be used for tasks such as community ecology analysis, species grouping, and habitat classification.

    5. Convolutional Neural Networks (CNN): CNN is a type of neural network that is specifically designed for analyzing visual data, such as satellite imagery, drone footage, and camera trap images. CNNs are commonly used in ecological applications for tasks such as land cover mapping, species detection, and wildlife monitoring.

    Overall, machine learning methods offer a wide range of tools and techniques that can greatly enhance ecological research and conservation efforts. By leveraging the power of machine learning, ecologists can better understand complex ecological systems, make more informed decisions, and ultimately contribute to the conservation and sustainability of our planet.
    #Machine #Learning #Methods #Ecological #Applications,machine learning: an applied mathematics introduction

  • SAS Applications Programming: A Gentle Introduction


    Price: $199.95 – $18.99
    (as of Jan 22,2025 18:19:48 UTC – Details)




    Publisher ‏ : ‎ Cengage Learning; 1st edition (February 25, 1991)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 684 pages
    ISBN-10 ‏ : ‎ 0534923909
    ISBN-13 ‏ : ‎ 978-0534923907
    Item Weight ‏ : ‎ 3.18 pounds
    Dimensions ‏ : ‎ 8.5 x 1 x 11 inches


    SAS Applications Programming: A Gentle Introduction

    Are you interested in learning about SAS applications programming but don’t know where to start? Look no further! In this post, we will provide a gentle introduction to SAS applications programming, including what it is, why it’s important, and how you can get started.

    SAS applications programming is the process of using the SAS software suite to analyze and manipulate data. This can include tasks such as data cleaning, statistical analysis, and creating reports. SAS is a powerful tool used by businesses, government agencies, and researchers to make data-driven decisions and solve complex problems.

    One of the key benefits of SAS applications programming is its versatility. With SAS, you can work with a wide range of data types, including structured and unstructured data, and perform a variety of analyses. Whether you’re interested in predictive modeling, data visualization, or machine learning, SAS has the tools you need to get the job done.

    Getting started with SAS applications programming is easier than you might think. There are plenty of resources available online, including tutorials, courses, and forums where you can ask questions and get help from experienced SAS programmers. Additionally, SAS offers certification programs that can help you demonstrate your skills and advance your career in the field.

    So, if you’re ready to dive into the world of SAS applications programming, now is the perfect time to get started. With a little bit of practice and dedication, you’ll be well on your way to becoming a proficient SAS programmer in no time. Happy coding!
    #SAS #Applications #Programming #Gentle #Introduction,machine learning: an applied mathematics introduction

  • AI Engineering: Building Applications with Foundation Models by Chip Huyen



    AI Engineering: Building Applications with Foundation Models by Chip Huyen

    Price : 14.99

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    AI Engineering: Building Applications with Foundation Models by Chip Huyen

    In the rapidly advancing field of artificial intelligence, the use of foundation models has become increasingly popular. These models, such as BERT and GPT-3, serve as the building blocks for a wide range of AI applications, from natural language processing to image recognition.

    In her book “AI Engineering: Building Applications with Foundation Models,” Chip Huyen provides a comprehensive guide to leveraging these powerful models in your own projects. Huyen, a seasoned AI engineer and educator, breaks down the complex concepts behind foundation models into easy-to-understand explanations, making them accessible to engineers of all levels.

    Whether you’re a beginner looking to dive into the world of AI or an experienced developer wanting to enhance your skills, Huyen’s book offers practical insights and hands-on examples to help you build cutting-edge AI applications. With her guidance, you’ll learn how to fine-tune foundation models, integrate them into your workflows, and optimize their performance for real-world use cases.

    If you’re ready to take your AI engineering skills to the next level, “AI Engineering: Building Applications with Foundation Models” is a must-read resource for mastering the latest advancements in artificial intelligence. Grab your copy today and start building innovative AI applications with confidence.
    #Engineering #Building #Applications #Foundation #Models #Chip #Huyen,ai engineering: building applications with foundation models

  • Introduction to Lattice Theory with Computer Science Applications


    Price: $61.74
    (as of Jan 22,2025 00:44:39 UTC – Details)




    ASIN ‏ : ‎ B0104CCRW2
    Publisher ‏ : ‎ Wiley; 1st edition (June 10, 2015)
    Publication date ‏ : ‎ June 10, 2015
    Language ‏ : ‎ English
    File size ‏ : ‎ 15441 KB
    Simultaneous device usage ‏ : ‎ Up to 3 simultaneous devices, per publisher limits
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 227 pages


    Lattice theory is a branch of mathematics that deals with the study of lattices, which are partially ordered sets that have a unique supremum (least upper bound) and infimum (greatest lower bound) for any pair of elements. Lattices have applications in various areas of computer science, such as formal verification, data analysis, and cryptography.

    In this post, we will provide an introduction to lattice theory, explaining its basic concepts and properties, and exploring some of its applications in computer science.

    Basic Concepts of Lattice Theory:
    1. Partial Order: A partially ordered set is a set in which any two elements can be compared with respect to a given relation, typically denoted by ≤. This relation must be reflexive, transitive, and antisymmetric.

    2. Lattice: A lattice is a partially ordered set in which every pair of elements has a unique supremum (least upper bound) and infimum (greatest lower bound). Lattices can be classified as bounded, distributive, modular, and complemented.

    3. Join and Meet Operations: In a lattice, the supremum of two elements is called the join, denoted by a ∨ b, while the infimum is called the meet, denoted by a ∧ b.

    4. Distributivity: A lattice is distributive if the distributive law holds: a ∧ (b ∨ c) = (a ∧ b) ∨ (a ∧ c) and a ∨ (b ∧ c) = (a ∨ b) ∧ (a ∨ c).

    Applications in Computer Science:
    1. Formal Verification: Lattice theory is used in formal verification to model states and transitions in a system, enabling the verification of properties such as safety, liveness, and fairness.

    2. Data Analysis: Lattices are used in data analysis to represent hierarchical structures, such as taxonomies and concept hierarchies, and to perform operations such as aggregation, filtering, and clustering.

    3. Cryptography: Lattices are employed in cryptographic schemes, such as lattice-based cryptography, which offers security against quantum attacks and enables the construction of post-quantum secure encryption and digital signature algorithms.

    In conclusion, lattice theory is a fundamental mathematical concept with diverse applications in computer science. By understanding the basic principles of lattices and their properties, computer scientists can leverage this knowledge to solve complex problems in various domains. Stay tuned for more posts on lattice theory and its practical implications in computer science.
    #Introduction #Lattice #Theory #Computer #Science #Applications,machine learning: an applied mathematics introduction

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