Artificial Intelligence
Language Translation Email Filtering Smart Assistant Social Media Monitoring Chatbots Predictive Text Online Searches Automatic Summarization Document Analysis Sentiment Analysis
10 Applications of NLP: LESS CPOADS
Learning Processes Reasoning Processes Self-Correction Processes
3 Cognitive Skills of Artificial Intelligence: L R S
Learning Reasoning Problem-Solving Perception Language
5 Components of Artificial Intelligence: LRP PL
Pattern Recognition Image Recognition Computer Programming Contextual Recommendations Self-Driving Cars Speech Recognition Fact Checking
7 Top Applications of Deep Learning: PICCSS F
Artificial Intelligence
Cause of Google accurately providing answers to queries with enormous suggestions and Facebook determining interest reason to view more related feeds on home screens that might be wanted to view
John McCarthy
He defined artificial intelligence as the science and engineering of making intelligent machines
Artificial Intelligence
It combines massive amounts of data with quick, iterative processing and intelligent algorithms.
Machine Learning
Subset of AI
Identification of Spam Recommending Products Customer Integration Image and Video Recognition Fraudulent Transactions Demand Forecasting Virtual Personal Assistant Sentiment Analysis Customer Service Automation
9 Top Applications of Machine Learning: IRC IFD VSC
Learning Processes
AI programming that usually provides computing devices with step-by-step instructions on how the machine can complete the specific task
massive quick iterative intelligent algorithms
Artificial Intelligence works by combining ___________ amounts of data with _______, __________ processing and _____________ _______________.
Deep Learning
Major Subfield of AI: A subset of machine learning based on artificial neural networks.
Artificial Intelligence
Major Subfield or Subsets of AI: A science devoted to making machines think and act like humans
Machine Learning
Major Subfield or Subsets of AI: Focuses on enabling computers to perform tasks without explicit programming.
Machine Learning Deep Learning (Natural Language Processing)
Major Subfield or Subsets of AI: M D (N)
JARVIS FRIDAY
Many are impressed and mesmerized by the power of intelligence of these AI in providing Tony Stark/Ironman solutions to any problems he encountered and how this computer-generated intelligence responded response in all commands of Tony then give the best and accurate solution as possible
JARVIS (Just a Rather Very Intelligent System)
Most popular AI used by Tony Stark
ML: Input -> Feature Extraction -> Classification -> Output DL: Input -> Feature Extraction + Classification -> Output
Process of Machine Learning vs. Deep Learning: M: IFCO D: IFO
Ordinary System -> With AI -> Machine Learning <= Learns, Predicts, Improves
Process of Machine Learning: OWM LPI
FRIDAY (Female Replacement Intelligent Digital Assistant Youth)
Replacement of JARVIS after he was destroyed Ultron and became like a human: Vision during Avengers: The Age of Ultron
Artificial Intelligence
Science and engineering of making intelligent machines
Artificial Intelligence
Simulation of human intelligence in machines through programming to mimic and think like humans
AI: Machine Learning - Deep Learning - Predictive Analysis Natural Language Processing - Translation - Classification and Clustering - Information Extraction Speech - Speech to Text - Text to Speech Expert Systems Planning, Scheduling, & Optimization Robotics Vision - Image Recognition - Machine Vision
Structure of Artificial Intelligence: M: DP N: TCI S: ST E P R V: IM
Natural Language Processing (NLP)
Subfield of AI that focuses on enabling machines to understand and interpret human language
Deep Learning
Subset of Machine Learning
Machine Learning
Its algorithms are highly dependent on low-end machines
Machine Learning
Its algorithms that assisted the computer are designed to learn and improve over time when exposed to new data sets
John McCarthy
Father of Artificial Intelligence
Self-Correction Processes
Feature of AI programming designed to continuously fine-tune algorithms and ensure that it provides the most accurate outcomes
Reasoning Processes
Feature of AI programming that focuses on selecting the correct algorithm to reach the desired outcome
John McCarthy
He first coined the word artificial intelligence
Learning Processes
It is the AI programming that focuses on acquiring data and creating rules or algorithms that turn the data into actionable information
Machine Learning
It is the science of getting computers to act without being explicitly programmed
Natural Language Processing (NLP)
It is used in applications such as chatbots, virtual assistants, and language translation
Machine Learning
It refers to the concept that allows computers to learn and adapt automatically to the new data without being assisted by humans
Deep Learning
It understands a vast amount of data and permits the software to train itself to perform image recognition and speech tasks
Deep Learning
It uses Artificial Neural Networks which structures and functions like brain neurons
Machine Learning
It uses statistical methods that enable the machine to improve with experience
Machine Learning
It works perfectly on smaller data sets
Deep Learning
Its algorithms are highly dependent on high-end machines
advanced end to end
When it comes to problem-solving, deep learning is more ______________ as it can solve the problem from _____ __ _____.
divides solves ; piece combines
When it comes to solving problems, machine learning _________ the problem into parts, _________ it per _______, and then ______________ afterward.
Dartmouth Conference 1956
Where and when was the word artificial intelligence first used?