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  • Who invented augmented reality?
    A variation of virtual reality (VR), augmented reality (AR) is an enhanced version of a real-world environment that superimposes or blends interactive digital e
    發(fā)布時間：2023-07-16
  • What is connective intelligence? What does it do? What role will it play in Web 3.0?
    Connective intelligence is a term coined by Derrick de Kerckhove (1997) that describes a form of distributed and more evolved intelligence that goes beyond the
    發(fā)布時間：2023-07-16
  • Why would companies invest in decision automation?
    Businesses may invest in decision automation for any number of reasons. However, there are some overarching fundamental principles that illustrate the benefits
    發(fā)布時間：2023-07-16
  • Why are GPUs important for deep learning?
    The use of graphics processing units (GPUs) has particular importance for the field of deep learning. The reason has to do with how deep learning systems are se
    發(fā)布時間：2023-07-16
  • What are some of the biggest challenges with legacy migration?
    The challenges of legacy migration projects are many and diverse. They depend on the scope of the migration process, for example, whether the process involves o
    發(fā)布時間：2023-07-16
  • What is ‘precision and recall’ in machine learning?
    There are a number of ways to explain and define “precision and recall” in machine learning. These two principles are mathematically important in ge
    發(fā)布時間：2023-07-16
  • Why is Python so popular in machine learning?
    There are a number of reasons why the Python programming language is popular with professionals who work on machine learning systems.One of the most commonly ci
    發(fā)布時間：2023-07-16
  • Why is so much of machine learning behind the scenes – out of sight of the common user?
    This fundamental question about machine learning takes into account many different aspects of how these complicated programs work, and what role they play in to
    發(fā)布時間：2023-07-16
  • Why is it important for data scientists to seek transparency?
    Transparency is essentially important in data science projects and machine learning programs, partly because of the complexity and sophistication that drives th
    發(fā)布時間：2023-07-16
  • Why is it important for data scientists to seek transparency?
    Transparency is essentially important in data science projects and machine learning programs, partly because of the complexity and sophistication that drives th
    發(fā)布時間：2023-07-16
  • 有限狀態(tài)機如何應用于人工智能？
    有限狀態(tài)機(FSM) 是由一系列只能逐一選擇的唯一狀態(tài)集定義的計算模型。簡而言之，F(xiàn)SM 是構建AI的簡單而優(yōu)雅的解決方案，其中機器在任何時候只能處于一種狀態(tài)，并且只能在收到輸入
    發(fā)布時間：2023-07-16
  • 5G技術對AI意味著什么？
    第五代無線（5G）和人工智能（AI）很可能會產(chǎn)生互惠互利的關系，從而將這兩種技術提升到一個新的水平。事實上，5G 是一項極其復雜的技術，其特點是固有的混亂結構。如何有效地分配蜂窩站
    發(fā)布時間：2023-07-16
  • 為什么混淆矩陣在機器學習中有用？
    有多種方法可以討論為什么混淆矩陣在機器學習(ML) 中很有價值，但最簡單的方法之一是解釋混淆矩陣是一種數(shù)據(jù)可視化資源?；煜仃囀共榭凑吣軌蛞荒苛巳坏乜吹绞褂梅诸惼骰蚱?br> 發(fā)布時間：2023-07-16
  • 機器學習專業(yè)人士如何使用結構化預測？
    機器學習專業(yè)人員以多種方式使用結構化預測，通常是將某種形式的機器學習技術應用于特定目標或問題，這些目標或問題可以從更有序的預測分析起點中受益。結構化預測的技術定義涉
    發(fā)布時間：2023-07-16
  • 大數(shù)據(jù)中的數(shù)據(jù)會不會太多？
    這個問題的答案是肯定的。大數(shù)據(jù)項目中的數(shù)據(jù)絕對可能過多。發(fā)生這種情況的方式有很多種，出于多種原因，專業(yè)人士需要以多種方式限制和管理數(shù)據(jù)以獲得正確的結果。（閱讀關于大數(shù)
    發(fā)布時間：2023-07-16
  • 頂尖企業(yè)如何有效地將物聯(lián)網(wǎng)應用到他們的 BI 戰(zhàn)略中？
    將物聯(lián)網(wǎng)（IoT）應用于商業(yè)智能（BI）的想法現(xiàn)已成為企業(yè)戰(zhàn)略的主流部分。物聯(lián)網(wǎng)在過去幾年中蓬勃發(fā)展，BI 行業(yè)隨著各種企業(yè)資源規(guī)劃(ERP) 軟件和業(yè)務技術的發(fā)展而蓬勃發(fā)展，這些技術可
    發(fā)布時間：2023-07-16
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