On some fine-grained questions in algorithms and complexity. In To appear in the proceedings of the ICM, 2018.V. Vassilevska Williams, On some fine-grained questions in algorithms and complexity, to appear in th
Among the many types of algorithms such as bubble sort, quick sort, merge sort, and more, it is not right to put one method on the podium for performance as this greatly varies based on data, the reaction after the algorithm processes the data, and how it’s stored. The concept of t...
Machine Learning forms a subset of Artificial Intelligence, where we use statistics and algorithms to train machines with data, thereby, helping them improve with experience. Deep Learning is a part of Machine Learning, which involves mimicking the human brain in terms of structures called neurons,...
Big-O notation is a mathematical notation used to describe the complexity of algorithms. Big O Notation measures the worst-case complexity of an algorithm. It considers time complexity, i.e., the time taken by an algorithm to run completely, and space complexity, the extra memory space require...
“conjoint measurement model,” which is a technical way of saying the Lexile scale can be used to measure the difficulty of a book and the reading level of a learner. Because the Lexile Framework for Reading measures both text complexity and learner ability on a single scale, educators can ...
Shorter sentences put less burden on short-term memory. Vocabulary is an important indicator of the complexity of a text. Familiar or frequently used words are less challenging to a learner than rare or less frequently used words. What impact does the Lexile measure of text have on the ...
《算法导论》(Introduction to Algorithms,由 Thomas H. Cormen、Charles E. Leiserson、Ronald L. Rivest、Clifford Stein 合著,取四人名字的一个首字母,简称 CLRS,该书详细介绍了经典算法的原理,并给出了正确性证明)提到:“不正式地说,算法是任何定义明确的计算过程,该过程取某个值或值的集合作为输入,并产生某...
Use advanced cryptographic algorithms to encrypt data in transit and at rest. Protect networks by disabling port forwarding, closing unused ports, blocking unauthorized IP addresses and keeping network software and firmware up to date. Also, implement antimalware, firewalls, intrusion detection systems, ...
Yes. Most of the algorithms use Euclidean distance between data points, and if the feature value varies greatly, the results will be quite different. In most cases, outliers cause machine learning models to perform worse on the test dataset. We also use feature scaling to reduce convergence ...
Time Required: Just need some reading of articles/notes, can be pursued parallelly Great Resources: Grokking Primer Misc Stuff Aptitude/Reasoning Do some mock tests to gain confidence Basic Programming MCQ C/C++/Java/Python fundamentals Print output type questions Time/space complexity Questions...