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Showing posts with the label Artificial Intelligence

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15 Python Tips : How to Write Code Effectively

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 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index and the value in a loop, enumerate is a more Pyth

AI Project 5 things You need to be Successful

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Suppose you have got an opportunity to create a project on AI. Try implementing these five before the start. These five are Learning, Programming Language, Knowledge representation, Problem Solving, and Hardware. Ensure These 5 Things Done, if you want to be your AI Project Successful 1. Learning Process. What is learning? - adding knowledge to the storehouse, and improving its performance. The success of an AI program depends on two things- the extent of wisdom it has and how frequently it acquires it. Learning agents consist of four main components. They are the: The Learning element - is part of the agent responsible for improving its performance.  The Performance element - is the part that chooses the actions to take.  Critics , that tell the learning element of how the agent is doing.  The Problem generator - suggests actions that could lead to new information experiences. 2. Programming Language. LISP and Prolog are the primary languages used in AI programming. LISP (List Pro

5 Top Features People Need Today in Modern Devices

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S mart devices in the current world play a key role. It is because these have better features to help people. In this post, I shared the top features people expect in smart devices. Now the world is mature enough to design devices and connect them with some intelligence and should give some benefit to users. Intelligence in the Modern Devices. Devices installed with Software, you can call Intelligent things. Modern devices nowadays have intelligence.  People look at Smart things is the problem-solving approach . At the same time, smart things should generate revenue. List of Smart Devices. There are many smart devices already in the market. For example, smartphones, smart appliances, Shoes, watches, and more.  The real requirement is increasing user experience in those devices. Design companies are advising their departments to implement high user experience in their devices.  For example smart cameras, advice on personal and financial matters. Features People Need in Mo

Top Skills You Need to Develop a modern App

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The development of mobile applications provides many job opportunities. In today’s mobile world intelligent apps play a crucial role. Modern Intelligent apps. To understand correctly intelligent apps now ruling the world. They started 60 years ago, and they are now in a mature stage.  Due to the increasing usage of mobile phones, the importance of Artificial Intelligence apps came into the limelight again. Intelligent apps usage is quite a lot. The key applications are Voice to text , Text to Voice, and Image recognition. Application of Intelligent Apps. Planning Vision Voice recognition Natural Language Processing Self-driving cars Help to physical Disabled people Role of Robotics. Agriculture needs many robots. They can work even in the rainy season. The construction field needs many robots to work on roof-tops.  Deep-ocean where Robots requires for exploration of oil and pearls.  Top Examples of Intelligent Apps. PowerVocab  UnlockyourBrain  TED  Casual

Human Intelligence Vs Artificial Intelligence

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What is artificial intelligence Key differences of Human and Artificial  Intelligence Human Intelligence: A leading researcher in human intelligence, suggests ``as a heuristic hypothesis'' that all normal humans have the same intellectual mechanisms and that differences in intelligence are related to ``quantitative biochemical and physiological conditions''. I see them as speed, short term memory, and the ability to form accurate and retrievable long term memories. Artificial Intelligence: Computer programs have plenty of speed and memory but their abilities correspond to the intellectual mechanisms that program designers understand well enough to put in programs. Some abilities that children normally don't develop till they are teenagers may be in, and some abilities possessed by two year olds are still out. The matter is further complicated by the fact that the cognitive sciences still have not succeeded in determining exactly what the human abilitie

6 Different Skills You Need for Artificial Intelligence Career

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The process of developing AI applications you need different skills. Acquire the knowledge and skills for developing various intelligent information systems through a basic grasp of computer science and information processing technology. Courses : Computer programming, data structure and algorithms, programming for systems design, object-oriented programming, computer systems, mathematical logic, automata and language theory, logical circuit, computer networks, etc. Develop a novel technique of intelligent information processing in which computers collaborate with human beings, by learning various technologies in intelligent information processing. Courses : Basis of AI, AI programming, AI system design, logic and proofs, inference and learning, knowledge base, natural language processing, pattern understanding, computer vision, computer graphics, etc. Master the fundamentals of mathematics and natural science. Courses : Linear algebra, analysis, discrete mathematics, probabil

15 Top AI Business Applications

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I have shared the top 15 business areas where you can apply artificial intelligence. Real-time Artificial Intelligence Business Applications 1: Medicine Including interpretation of medical images, diagnosis, expert systems to aid GPs, monitoring and control in intensive care units, design of prosthetics, design of drugs. The IntellipathTM pathology diagnosis system has been deployed in hundreds of hospitals worldwide. AI is being increasingly used to provide solutions regarding vector-borne diseases like malaria. 2: Robotics Including vision, motor control, learning, planning, linguistic communication, cooperative behavior. Robots are usually trusted with jobs that are deemed dangerous and sometimes impossible for a human being. Today, many industries use them for jobs that are to be performed with utmost efficiency and without the slightest possible chance of lapse in concentration. 3: Engineering Fault diagnosis, intelligent control systems, intelligent manufacturing systems,

The AI Quick Tutorial Put You on Edge

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Artificial intelligence (AI) means different things to different people. Some believe that AI is synonymous with any form of intelligence achieved by nonliving systems; they maintain that it is not important if this intelligent behavior is not arrived at via the same mechanisms on which humans rely. For others, AI systems must be able to mimic human intelligence. How Humans Accomplish Intelligence. No one would argue with the premise that to study AI or to implement AI systems , it is helpful if we first understand how humans accomplish intelligent behavior; that is, we must understand activities that are deemed intelligent in an intellectual, scientific, psychological, and technical sense. For example, if we want to build a robot capable of walking like a human, then we must first understand the process of walking from each of those perspectives; people, however, do not accomplish locomotion by constantly stating and following a prescribed set of formal rules that explain how to t