AI Notes PDF
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Summary
These notes provide a general introduction to Artificial Intelligence (AI), including key concepts, applications, and data representations used in AI. It discusses various AI domains and technologies.
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https://cbseacademic.nic.in/web_material/Curriculum25/SQP_MS_X/417_AI_MS.pdf https://cbseacademic.nic.in/web_material/Curriculum25/SQP_MS_X/417_AI_SQP.pdf AI NOTES : >>Artificial Intelligence refers to the simulation of human intelligence that are programmed to think like Humans and mimic t...
https://cbseacademic.nic.in/web_material/Curriculum25/SQP_MS_X/417_AI_MS.pdf https://cbseacademic.nic.in/web_material/Curriculum25/SQP_MS_X/417_AI_SQP.pdf AI NOTES : >>Artificial Intelligence refers to the simulation of human intelligence that are programmed to think like Humans and mimic their actions. >>John Mc Carthy(1927-2011) coined the term AI. >>Arthur Samuel(1959) coined the term Machine Learning. >>John Mc Carthy is the creator of language LISP. >>Waze Maps are Community Based Maps which offers a Minimal Interface using Latest in Design Language. >>Waze Maps offer a High Level of Customization. >>Google Maps is more databased than Waze Maps. >>3 Applications of AI has expanded itself: Planning and Scheduling Playing Games Robotics >>3 Domains of AI Models: ◉Data Science ◉Computer Vision ◉Natural Language Processing(NLP) >>4 W's Problem Canvas : ◎Who? ◎What? ◎Where? ◎Why? >>Types of Data: ◈Comma Seperated Values(CSV) ◈Spreadsheet ◈Structured Query Language(SQL) >>Learning Based Approach: ▣Supervised Learning ▣Unsupervised Learning >>Data Science is interdisplinary field that uses scientific methods,processes,algorithms and system to extract knowledge and insights from structured and unstructured data. >>Data Scientists are Analytical experts who utilize their skills in both Technology and Social Science to find trends and manage data. END AI NOTES LEVEL 1 >>TFIDF is used for finding Term Frequency and Inverse document frequency. >>CORPUS is the term used for the whole textual data from all the documents altogether. >>Script bots work with the script while Smart bots work with larger database. >>DATA VISUALIZATION: Erroneous Data: ▣Incorrect Values ▣Invalid or Null Values Missing Data Outliers >>Flowcharts are pictorial or graphical representation of an algorithm. >>A Project Life cycle is a sequence of Phases that a project goes through from its initiation to its closure. >>AI systems can be biased if trained on biased data, leading to unfair or unethical decisions. >>AI can be used to create personalized learning experiences, adapt content based on student progress, and assist teachers in evaluating students' performance. >>Types of Operating Systems: ◆Interactive (GUI based) ◆Real Time ◆Distributed >>Community used Operating Systems: ◆UNIX ◆LINUX ◆Windows ◆Solaris ◆BOSS(Bharat Operating System Solutions) >>Mobile Phone Operating Systems: ◆Android ◆Symbian ◆iOS >>Threats affecting Computer 🖥 Systems: Natural Threats: ◉Fire ◉Flood ◉Lightning Human Threats: ◉Physical Theft ◉Virus,Trojan Horse and Worm >>VIRUSES: ◎Trojan Horse ◎Worm ◎Spyware ◎Online Predators ◎Online Scams ◎Adware >>Measures to Protect a computer: ◈Setting up Users and Passwords ◈Using Secure Passwords ◈Use of Protective Software ◈Lock your Computer >>Anti-Virus Softwares: ▣Norton ▣Kaspersky ▣McAfee ▣AVG ▣Bit Defender ▣Avast >>For Capturing Keystrokes a *KEYLOGGER* is attached to a CPU. >>Real Life AI Implementations: Video Games Siri Self Driving Cars Netflix Google Translate Music and Media Smartphones Snapchat and Instagram Filters Online Ads Network Smart Home Devices Online Services Visual Search for Buying Products Google Maps Ride Sharing apps like UBER Virtual Chef END AI NOTES LEVEL 2 >>Evaluation → Training and Testing of AI Model with the help of Data provided to it. >>4 Scenarios for Predictions and Reality : ⇒True Positive(Prediction = True , Reality = True) ⇒True Negative(Prediction = False , Reality = False) ⇒False Positive(Prediction = True , Reality = False) ⇒False Negative(Prediction = False , Reality = True) >>Evaluation Methods: ▦Accuracy ▦Recall ▦Precision ▦F1 Score >>