Jim Yuan  Hang

Jim Yuan Hang

1594453947

Basic AI Algorithms

To solve a problem with a computer, it is necessary to represent the problem in numerical or symbolic form and offer a specific procedure using a programming language. However, working with problem-solving in the artificial intelligence (AI) field, it is difficult to specify a formulation of a problem from the beginning. Therefore, the flexibility of choosing a solution procedure during the observation of state changes is highly required. Some problems can be represented by a graph or tree structure where each node represents a state of the problem. This kind of problem formulation method is called State-space representation.

State-space representation

In a state-space representation method, each state of the problem is represented by a node of a graph or tree structure. In this case, the problem is translated as a search problem to determine the goal under specific operators and restrains. In this post, I will introduce Traveling Salesman Problem (TSP) as an example.

Representation a problem with the state-space representation needs:

(1). A set of states of the problem

(2). A set of operators to operate between states of the problem

(3). Initial state and final state(goal)

Traveling Salesman Problem (TSP)

Consider the following situation. You are given a list of n cities with the distance between any two cities. Now, you have to start with your office and to visit all the cities only once each and return to your office. What is the shortest path can you take? This problem is called the Traveling Salesman Problem (TSP).

#search-algorithm #travelingsalesmanproblem #a-algorithm #ai-algorithms #heuristic-evaluation

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Basic AI Algorithms
Otho  Hagenes

Otho Hagenes

1619511840

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

Jim Yuan  Hang

Jim Yuan Hang

1594453947

Basic AI Algorithms

To solve a problem with a computer, it is necessary to represent the problem in numerical or symbolic form and offer a specific procedure using a programming language. However, working with problem-solving in the artificial intelligence (AI) field, it is difficult to specify a formulation of a problem from the beginning. Therefore, the flexibility of choosing a solution procedure during the observation of state changes is highly required. Some problems can be represented by a graph or tree structure where each node represents a state of the problem. This kind of problem formulation method is called State-space representation.

State-space representation

In a state-space representation method, each state of the problem is represented by a node of a graph or tree structure. In this case, the problem is translated as a search problem to determine the goal under specific operators and restrains. In this post, I will introduce Traveling Salesman Problem (TSP) as an example.

Representation a problem with the state-space representation needs:

(1). A set of states of the problem

(2). A set of operators to operate between states of the problem

(3). Initial state and final state(goal)

Traveling Salesman Problem (TSP)

Consider the following situation. You are given a list of n cities with the distance between any two cities. Now, you have to start with your office and to visit all the cities only once each and return to your office. What is the shortest path can you take? This problem is called the Traveling Salesman Problem (TSP).

#search-algorithm #travelingsalesmanproblem #a-algorithm #ai-algorithms #heuristic-evaluation

Shradha Singh

1603448352

Basics of Reinforcement Learning AI Engineers Must Know Of

Machine learning (ML) or ML-powered algorithms are getting deployed in every business sector you can think of, these days. The role of ML and artificial intelligence (AI) in the functioning of our society has been on an unprecedented high off late, with new innovations getting discovered each day. From finance to healthcare, to travel, to manufacturing, AI and ML are being deployed across industry sectors, and benefitting them heavily.

If the second half of the 20th century got known for the impressive progress in web connectivity and computing power, 21st century is getting dominated by the emergence of a plethora of disruptive technologies such as ML and AI.

What Do We Mean by Reinforcement Learning?

Humans are great at solving an array of challenging issues, ranging from low-level motor control activities (running, playing football, walking) to high-level perceptive tasks (doing poetry, writing, conversation, mathematics). The technique of reinforcement learning allows hardware/software to imitate human behavior by leveraging computer algorithms that are specially designed for the said purpose.

In a more formal language, reinforcement learning deals in the development of goal-specific algorithms that help learn a machine on how to accomplish a sophisticated objective, or how to optimize the chances of attaining a predetermined result.

#ai engineers #ai certifications #ai #machine learning #algorithms #artificial intelligence

Murray  Beatty

Murray Beatty

1598606037

This Week in AI | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

This Week in AI - Issue #22 | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.Have fun!

Research Papers

Articles

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai