Tag: Topics

  • DEI topics webpage at Northeastern University changed post POTUS order


    Northeastern University is among the first New England universities to change language on its website about diversity, equity, and inclusion commitments following president Donald Trump’s sweeping executive order signed Jan. 21, which called for an end to DEI policies for recipients of federal grants and contracts.

    The order also threatens investigations of universities with endowments over $1 billion to deter DEI programs, putting more than 15 New England institutions, including Northeastern, on notice. The Trump administration says diversity programs “constitute illegal discrimination.”

    Universities across the nation are conducting internal audits to identify programs and titles that could put them at risk, said Angel Pérez, chief executive of the National Association for College Admission Counseling. He said schools are reevaluating how they describe recruitment programs that were designed for students of color.

    “Instead of saying this program is for students of color, they might focus on socioeconomic status or marginalized students, which includes Jewish and some Asian students,” Pérez said. “That’s not new or different but DEI has been used to think primarily of Black and Latinx students. Institutions are trying to come up with new language that it is inclusive of a much larger population than public [currently] thinks.”

    Northeastern overhauled its DEI page on its website on Jan. 24, three days after Trump signed the executive order titled, “Ending Illegal Discrimination and Restoring Merit-Based Opportunity.”

    The Boston university removed the banner headline on the webpage, which previously said, “The Office of Diversity, Equity and Inclusion. Northeastern believes in a welcoming and inclusive environment for all.” Now, the website is headlined: “Belonging at Northeastern,” and says the school’s “reimagined approach centers on embracing the experiences of individuals across the global university system to maximize impact at the institutional level.” The website URL previously read as diversity.northeastern.edu; now it reads as belonging.northeastern.edu.

    Northeastern spokesperson Renata Nyul said the university’s “commitment to embracing our entire global community remains steadfast.”

    ”While internal structures and approaches may need to be adjusted, the university’s core values don’t change,” Nyul said. “We believe that embracing our differences — and building a community of belonging — makes Northeastern stronger.”

    Marty Meehan, president of the University of Massachusetts system, said in an interview Wednesday there have been no layoffs of DEI personnel at any of the UMass campuses since Trump signed the executive order, but he also expects language and messaging around such programs and positions to change.

    “It won’t change our commitment to diversity and our commitment to inclusiveness,” Meehan said. “It means a lot of companies and nonprofits are looking at the language — what language we use to identify that mission to be inclusive.”


    Hilary Burns can be reached at hilary.burns@globe.com. Follow her @Hilarysburns.





    Recently, the DEI topics webpage at Northeastern University underwent some changes following an executive order signed by President Joe Biden. The order, aimed at promoting diversity, equity, and inclusion in higher education institutions, prompted the university to update its webpage to align with the new guidelines.

    The DEI topics webpage now features a more comprehensive list of resources and initiatives aimed at promoting diversity and inclusion on campus. This includes information on student organizations, events, and programs that support underrepresented and marginalized communities.

    Additionally, the webpage now includes a section dedicated to highlighting the university’s commitment to promoting a more inclusive campus culture. This includes information on recent diversity initiatives, faculty and staff training programs, and efforts to increase representation of diverse voices in the curriculum.

    Overall, the changes to the DEI topics webpage reflect Northeastern University’s ongoing commitment to creating a more inclusive and equitable campus environment for all students, faculty, and staff. By staying up-to-date with the latest DEI guidelines and initiatives, the university is taking proactive steps towards promoting diversity and inclusion in higher education.

    Tags:

    DEI topics, Northeastern University, POTUS order, diversity, equity, inclusion, higher education, policy changes, social justice, university updates

    #DEI #topics #webpage #Northeastern #University #changed #post #POTUS #order

  • Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)


    Price: $16.99
    (as of Jan 19,2025 12:45:58 UTC – Details)




    ASIN ‏ : ‎ B0CXCP69T9
    Publisher ‏ : ‎ Springer; 3rd edition (September 6, 2024)
    Publication date ‏ : ‎ September 6, 2024
    Language ‏ : ‎ English
    File size ‏ : ‎ 64193 KB
    Text-to-Speech ‏ : ‎ Enabled
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 631 pages


    Artificial intelligence, or AI, is a rapidly growing field in computer science that focuses on creating machines and systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. In this post, we will provide an introduction to artificial intelligence, specifically focusing on undergraduate topics in computer science.

    One of the key components of AI is machine learning, which is a subset of AI that involves training algorithms to learn from and make predictions or decisions based on data. Machine learning algorithms can be categorized into supervised learning, unsupervised learning, and reinforcement learning.

    In supervised learning, the algorithm is trained on a labeled dataset, where the correct output is provided for each input. The algorithm learns to map inputs to outputs by minimizing the error between the predicted and actual outputs. Popular supervised learning algorithms include linear regression, logistic regression, support vector machines, and neural networks.

    Unsupervised learning, on the other hand, involves training algorithms on unlabeled data and learning patterns or structure in the data. Clustering algorithms, such as k-means clustering and hierarchical clustering, are commonly used in unsupervised learning to group similar data points together.

    Reinforcement learning is a type of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties based on its actions. The goal of the agent is to maximize its cumulative reward over time by learning an optimal policy.

    Other important topics in artificial intelligence include natural language processing, computer vision, robotics, and expert systems. Natural language processing focuses on enabling computers to understand, interpret, and generate human language, while computer vision deals with enabling machines to interpret and understand visual information from the world around them.

    Overall, artificial intelligence is a diverse and exciting field with numerous applications in various industries, such as healthcare, finance, transportation, and entertainment. As an undergraduate student studying computer science, delving into the world of artificial intelligence can provide you with valuable skills and knowledge that will be in high demand in the job market. Stay tuned for more in-depth discussions on specific AI topics in future posts!
    #Introduction #Artificial #Intelligence #Undergraduate #Topics #Computer #Science,machine learning: an applied mathematics introduction

  • Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)


    Price: $49.99 – $42.65
    (as of Jan 18,2025 04:11:33 UTC – Details)




    Publisher ‏ : ‎ Springer; 2nd ed. 2024 edition (April 13, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 260 pages
    ISBN-10 ‏ : ‎ 3031489551
    ISBN-13 ‏ : ‎ 978-3031489556
    Item Weight ‏ : ‎ 13.1 ounces
    Dimensions ‏ : ‎ 5.75 x 0.5 x 9 inches


    Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)

    Data science is a rapidly growing field that involves the extraction of knowledge and insights from data. In today’s digital age, the ability to analyze and interpret data is essential for making informed decisions in various industries.

    In this post, we will explore the fundamentals of data science, with a focus on using Python as the primary programming language. Python is widely regarded as one of the best programming languages for data analysis and machine learning due to its simplicity, versatility, and extensive libraries.

    This book, “Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications,” is designed for undergraduate students in computer science who are interested in learning the fundamentals of data science. The book covers essential topics such as data visualization, statistical analysis, machine learning, and more, all using Python.

    Throughout the book, readers will learn how to manipulate and analyze data using Python libraries such as Pandas, NumPy, and Matplotlib. They will also gain a solid understanding of statistical concepts and techniques, as well as how to apply machine learning algorithms to real-world datasets.

    By the end of the book, readers will have a comprehensive understanding of the principles and practices of data science, as well as the practical skills needed to analyze data and make data-driven decisions. Whether you are a student looking to enter the field of data science or a professional seeking to enhance your skills, this book is an invaluable resource for mastering data science with Python.
    #Introduction #Data #Science #Python #Approach #Concepts #Techniques #Applications #Undergraduate #Topics #Computer #Science,machine learning: an applied mathematics introduction

  • Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)

    Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)


    Price: $31.19
    (as of Jan 04,2025 23:32:48 UTC – Details)




    ASIN ‏ : ‎ B079M3D7JF
    Publisher ‏ : ‎ Springer; 1st ed. 2018 edition (February 4, 2018)
    Publication date ‏ : ‎ February 4, 2018
    Language ‏ : ‎ English
    File size ‏ : ‎ 15886 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 210 pages
    Page numbers source ISBN ‏ : ‎ 3319730037


    Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)

    Deep learning has emerged as a powerful tool in the field of artificial intelligence, revolutionizing the way we approach complex problems and tasks. In this post, we will explore the foundational concepts of deep learning, starting from its roots in logical calculus and leading to its applications in artificial intelligence.

    Logical calculus, also known as symbolic logic, forms the basis of deep learning algorithms. By representing relationships and rules in a formal, mathematical way, logical calculus allows us to make deductions and draw conclusions based on logical reasoning. This foundation is essential for building neural networks and training them to perform tasks such as image recognition, natural language processing, and more.

    As we delve deeper into the world of deep learning, we will explore the various architectures and models that have been developed to mimic the human brain and achieve impressive results in tasks that were once thought to be impossible for machines. From convolutional neural networks for image recognition to recurrent neural networks for sequence prediction, deep learning has opened up a world of possibilities for artificial intelligence.

    Whether you are a student studying computer science or a professional looking to expand your knowledge, understanding the principles of deep learning is essential in today’s rapidly evolving technological landscape. Join us on this journey from logical calculus to artificial intelligence, and discover the endless possibilities that deep learning has to offer.
    #Introduction #Deep #Learning #Logical #Calculus #Artificial #Intelligence #Undergraduate #Topics #Computer #Science,machine learning: an applied mathematics introduction

  • Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

    Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7


    Price: $31.19
    (as of Jan 03,2025 09:47:41 UTC – Details)




    ASIN ‏ : ‎ B07Q85SJLK
    Publisher ‏ : ‎ Packt Publishing; 1st edition (March 29, 2019)
    Publication date ‏ : ‎ March 29, 2019
    Language ‏ : ‎ English
    File size ‏ : ‎ 49402 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 988 pages


    Are you looking to take your OpenCV skills to the next level? Look no further than our comprehensive guide on Mastering OpenCV 4 with Python! In this practical guide, we cover a wide range of topics from image processing and augmented reality to deep learning with OpenCV 4 and Python 3.7.

    Whether you’re a beginner looking to get started with OpenCV or an experienced developer wanting to expand your knowledge, this guide has something for everyone. Learn how to manipulate images, detect objects, track motion, create augmented reality applications, and much more using the powerful combination of OpenCV 4 and Python.

    With step-by-step instructions, real-world examples, and hands-on exercises, you’ll quickly master the fundamentals of computer vision and image processing. Plus, with a focus on deep learning techniques, you’ll discover how to leverage neural networks to solve complex tasks like object detection and image classification.

    Don’t miss out on this invaluable resource for mastering OpenCV 4 with Python. Start your journey towards becoming a skilled computer vision developer today!
    #Mastering #OpenCV #Python #practical #guide #covering #topics #image #processing #augmented #reality #deep #learning #OpenCV #Python,opencv 4 with python blueprints

  • Autodesk Civil 3D 2021: Autodesk Certified Professional Exam Topics Review (I…

    Autodesk Civil 3D 2021: Autodesk Certified Professional Exam Topics Review (I…



    Autodesk Civil 3D 2021: Autodesk Certified Professional Exam Topics Review (I…

    Price : 130.24

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    Are you preparing to take the Autodesk Certified Professional exam for Civil 3D 2021? In this post, we will review the key topics you need to know in order to pass the exam with flying colors.

    1. Introduction to Civil 3D: Understand the interface, tools, and features of Civil 3D 2021, including how to create, edit, and analyze civil engineering designs.

    2. Surveying and Data Collection: Learn how to import and manage survey data, create points, and work with survey databases in Civil 3D.

    3. Surface Modeling: Master the creation and analysis of surfaces, including existing ground, design surfaces, and volume calculations.

    4. Alignments and Profiles: Understand how to create and edit alignments, profiles, and profile views in Civil 3D, as well as how to design corridors and intersections.

    5. Pipe Networks and Pressure Networks: Learn how to design and analyze pipe networks and pressure networks, including creating pipes and structures, applying labels, and running analysis.

    6. Grading: Explore grading tools in Civil 3D, including feature lines, grading objects, and grading criteria sets, as well as how to create and analyze grading designs.

    7. Collaboration and Data Sharing: Understand how to collaborate with other team members using Civil 3D, including data shortcuts, reference templates, and project management tools.

    By mastering these topics, you will be well-prepared to tackle the Autodesk Certified Professional exam for Civil 3D 2021. Good luck with your exam preparation!
    #Autodesk #Civil #Autodesk #Certified #Professional #Exam #Topics #Review #I..,autodesk civil 3d 2025 unleashed

  • AI: Ethics, Law, Safety: Selected Topics by Federico Faroldi Paperback Book

    AI: Ethics, Law, Safety: Selected Topics by Federico Faroldi Paperback Book



    AI: Ethics, Law, Safety: Selected Topics by Federico Faroldi Paperback Book

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    In this fascinating new book, AI: Ethics, Law, Safety: Selected Topics, author Federico Faroldi delves into the complex and ever-evolving world of artificial intelligence. From the ethical considerations of AI to the legal implications and safety concerns, Faroldi tackles a wide range of topics in this comprehensive exploration of the field.

    With the rapid advancements in AI technology, it is more important than ever to consider the ethical implications of its use. Faroldi discusses issues such as bias in AI algorithms, privacy concerns, and the potential impact on job markets. He also examines the legal framework surrounding AI, including regulations and liability issues.

    Safety is another crucial aspect of AI that Faroldi addresses in his book. From autonomous vehicles to healthcare applications, ensuring the safety and reliability of AI systems is essential. Faroldi explores the challenges and potential solutions to making AI systems more secure and trustworthy.

    Whether you are a student, researcher, or industry professional, AI: Ethics, Law, Safety: Selected Topics is a must-read for anyone interested in the ethical, legal, and safety implications of artificial intelligence. Faroldi’s insightful analysis and in-depth exploration of these topics make this book a valuable resource for understanding the impact of AI on society.
    #Ethics #Law #Safety #Selected #Topics #Federico #Faroldi #Paperback #Book

  • Probabilistic Machine Learning: Advanced Topics by Kevin P Murphy: Used

    Probabilistic Machine Learning: Advanced Topics by Kevin P Murphy: Used



    Probabilistic Machine Learning: Advanced Topics by Kevin P Murphy: Used

    Price : 109.16

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    Interested in diving deeper into the world of probabilistic machine learning? Look no further than “Probabilistic Machine Learning: Advanced Topics” by Kevin P Murphy. This book is a comprehensive guide to advanced concepts in probabilistic machine learning, covering topics such as Bayesian nonparametrics, Gaussian processes, and deep generative models.

    Whether you’re a seasoned machine learning practitioner looking to expand your knowledge or a student eager to learn more about probabilistic modeling, this book is a valuable resource. With clear explanations, practical examples, and insightful discussions, Murphy provides a thorough exploration of cutting-edge techniques in probabilistic machine learning.

    Don’t miss out on the opportunity to take your understanding of probabilistic machine learning to the next level. Pick up a copy of “Probabilistic Machine Learning: Advanced Topics” by Kevin P Murphy today!
    #Probabilistic #Machine #Learning #Advanced #Topics #Kevin #Murphy

  • Automatic Speech and Speaker Recognition : Advanced Topics, Hardcover by Lee,…

    Automatic Speech and Speaker Recognition : Advanced Topics, Hardcover by Lee,…



    Automatic Speech and Speaker Recognition : Advanced Topics, Hardcover by Lee,…

    Price : 389.00 – 245.32

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    Automatic Speech and Speaker Recognition: Advanced Topics

    Are you ready to delve deeper into the world of automatic speech and speaker recognition? Look no further than the comprehensive guide provided in the Hardcover book by Lee, titled “Automatic Speech and Speaker Recognition: Advanced Topics.”

    This book goes beyond the basics and explores advanced concepts and techniques in the field of speech and speaker recognition. From cutting-edge algorithms to state-of-the-art technologies, this book covers everything you need to know to take your knowledge to the next level.

    Whether you are a seasoned professional looking to expand your expertise or a newcomer eager to learn more about this fascinating field, “Automatic Speech and Speaker Recognition: Advanced Topics” is the perfect resource for you. Get your hands on a copy today and unlock the secrets of advanced speech and speaker recognition technology.
    #Automatic #Speech #Speaker #Recognition #Advanced #Topics #Hardcover #Lee..

  • Computer Processing of Electron Microscope Images (Topics in Current Physics)

    Computer Processing of Electron Microscope Images (Topics in Current Physics)


    Price: $54.99 – $32.59
    (as of Dec 28,2024 09:51:02 UTC – Details)




    Publisher ‏ : ‎ Springer; Softcover reprint of the original 1st ed. 1980 edition (December 27, 2011)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 310 pages
    ISBN-10 ‏ : ‎ 3642813836
    ISBN-13 ‏ : ‎ 978-3642813832
    Item Weight ‏ : ‎ 1.12 pounds
    Dimensions ‏ : ‎ 6.69 x 0.72 x 9.61 inches


    In this post, we will delve into the intricate world of computer processing of electron microscope images, a crucial aspect of modern scientific research. Electron microscopes have revolutionized the way we view and understand the microscopic world, allowing us to see structures and details that were previously invisible to the naked eye.

    With the advancements in technology, electron microscopes are now capable of producing incredibly high-resolution images with detailed information about the sample being studied. However, these images are often complex and require sophisticated image processing techniques to enhance their quality, extract valuable information, and make them more interpretable.

    Topics in Current Physics delves into the various aspects of computer processing of electron microscope images, including image denoising, segmentation, feature extraction, and 3D reconstruction. These techniques play a crucial role in analyzing and interpreting the vast amount of data generated by electron microscopes, helping researchers make groundbreaking discoveries in fields such as materials science, biology, and nanotechnology.

    Stay tuned as we explore the latest advancements and challenges in computer processing of electron microscope images, and how these techniques are shaping the future of scientific research.

    #ElectronMicroscope #ImageProcessing #ScienceResearch #MaterialsScience #Nanotechnology #CurrentPhysics
    #Computer #Processing #Electron #Microscope #Images #Topics #Current #Physics

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