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How do you differentiate between an algorithm and a method? Why dont we call Newton's Method or Ford-Faulkerson method Algorithms? What are a properties of a good algorithm and what qualifies a method as an algorithm?
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Brute-force or exhaustive search. Divide and Conquer. Greedy Algorithms. Dynamic Programming.
Common examples include: the recipe for baking a cake, the method we use to solve a long division problem, the process of doing laundry, and the functionality of a search engine are all examples of an algorithm.
An algorithm is a procedure used for solving a problem or performing a computation. Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. Algorithms are widely used throughout all areas of IT.
The scientific method is an algorithm. Or rather, a class of algorithms. Rational decision making is a class of algorithms.
Algorithms are unambiguous specifications for performing calculation, data processing, automated reasoning, and other tasks. As an effective method, an algorithm can be expressed within a finite amount of space and time, and in a well-defined formal language for calculating a function.
So, models are output of machine learning algorithms run on data. A model is the representation of what has already been learned by an algorithm. – Both models and algorithms are important parts of a machine learning system. Although both the terms are often used interchangeably, they are not the same.
Algorithms terminate in a finite number of steps. A procedure that has all of the characteristics of an algorithm except that it possible lacks finiteness may be called a computational method.
An algorithm is a structured method. A step-by-step instruction guide. A recipe in a cook book is an algorithm, for example. Computers run algorithms, since they are very good at following clear instructions, and doing exactly what they are told. Artificial Intelligence is a research field in Computer Science.
Algorithms terminate in a finite number of steps.
A procedure that has all of the characteristics of an algorithm except that it possible lacks finiteness may be called a computational method. Euclid originally presented not only an algorithm for the greatest common divisor of numbers, but also a very similar geometrical construction for the "greatest common measure" of the lengths of two line segments; this is a computational method that does not terminate if the given lengths are incommensurable. -- D.Knuth, TAOCP vol 1, Basic Concepts: Algorithms
The Newton Raphson method is not guaranteed to converge, not does it detect convergence failure. If you wrap the method up with convergence detection and termination at a finite epsilon or after a finite number of steps, you get an algorithm.
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