8 Artificial Intelligence The Basics
Difference between AI and Machine Learning
These two terms are correlated to each other and use interchangeably. For thisreason, it creates lots of confusion in many of us brain.But, they are not the same term. Let’s understand with an example to clear ourwrong perception.If AI is – tree then ML is – one of the main Branch of treeAs we know, Artificial Intelligence is ‘Smart’ then who makes it smart? Offcourse the ‘Data’ and who feeds that data to AI? Yes, you are absolutely rightMachine Learning provide the data to AI.Machine Learning is a subset of Artificial Intelligence. We can say that thebackbone of AI is Machine Learning.Without Machine Learning machine can’t able to perform any task on its own.Therefore you have to get some knowledge of ML if you opt for ArtificialIntelligence as a career option.If you want to learn about Machine Learning and want to know various ML careerpaths check out this article; Machine Learning Career Path [Things You ShouldKnow]To become successful in the Artificial Intelligence career path you must havea clear understanding of how machine learns from scratch.Without ML AI is completely zero i.e. without ML there is a point of AI
Best Online Courses to Learn Artificial Intelligence?
You can learn Artificial Intelligence from the comfort of your home and get adecent job in this amazing and futuristic technology.There are many online learning platforms you can join to develop some of therequired skills in artificial intelligence career path.Searching on the internet for many hours for the best available onlinecourses, I stumbled upon these following courses. Machine Learning offered by Stanford Deep Learning Specialization by deeplearning.ai Artificial Intelligence (Course Bundle) – Linkedin Machine Learning, Data Science and Deep Learning with Python AI & Deep Learning with TensorFlow MIT AI Course –Lecture Videos -FreeIf you are searching for an online course which gives job guarantee inArtificial Intelligence/Machine Learning. You should Check this course >>>AI/ML Program With A Job Guarantee (6 months program)
5) AI and Machine Learning Demystified
In this presentation, Carol Smith establishes that AI cannot replace humans.Smith conveys that AI can serve the purpose of enabling human beings in makingbetter decisions.The slides talk about how the actions of AI are the result of the human inputsgoing into its programming. An AI’s bias is not its own, but the human biaswith which it has been programmed, is emphasised on.Other issues such as the need for regulations and other considerations withinit that require deliberation are also touched upon. The presentation leavesyou with a message – Don’t fear AI, Explore it.* * *
7) Artificial Intelligence
There are many who have been introduced to AI only recently due to the buzzsurrounding it and may not be aware of the early developments that led to itscurrent status.This presentation from 2009 offers a simple yet informative introduction tothe rudiments of AI. AI’s history and a timeline of all the significantmilestones in AI up to 2009 can be found. The presentation also provides anintroduction to AI programming languages such as LISP and PROLOG.For those who would like to have a crash course on the basics of AI in orderto catch up with it current trends, this presentation serves the purpose.* * *
What is Artificial Intelligence Software?
The software that is competent of intelligent behavior is known as artificialintelligence software. AI software is packed with a number of capabilitiesthat can address key areas like reasoning, problem-solving, knowledgerepresentation, learning, and perception.You can see the involvement of artificial intelligence software inapplications like smartphone assistant, voice and image recognition softwareand ATMs that read checks.
Free and open-source artificial intelligence software
1 TensorFlowTensorFlow is an open-source artificial intelligence software that helps youdevelop and train Machine learning models. It presents the library for high-performance numerical computation. Across a variety of platforms (CPUs, GPUs,TPUs) this free AI software allows easy deployment of computation due to itsflexible architecture.With this software, you can accomplish the power of data in your business bybuilding advanced predictive modeling applications. This software makes use ofdata flow graphs to build models. In perception, understanding, prediction,creation, and classification, you can make use of this software.You will find the primary use of this software in voice/sound recognition,text-based applications, image recognition, video detection, and time-seriesdata.The time series algorithms of TensorFlow are mainly used in the field offinance, accounting, and enterprise /resource planning.Several companies, like Dropbox, eBay, Twitter, Uber, and Intel, make use ofthis application. Behind several Google tools, this AI tool works as theengine. It contains Google photos and the speech recognition found in theGoogle app. This software works on various platforms like desktops, clusters,mobile, and edge devices, CPUs, GPUs, and TPUs due to its easy-to-useinterface and architecture.(Source: TensorFlow)Key features: * Predictive Analytics * Adaptive & Speech Recognition * Data Ingestion * Intuitive high-level APIs * Easy model building * Robust ML production * Transfer Learning * Multi-languages * Workflow Automation2 IBM WatsonIBM Watson is a free, open-source AI software that provides authority to thecompanies to speed up the research and discovery, calculate disruptions, andimprove interactions. Several businesses are taking advantage of this softwareto study their data, gather intellectual property, insights, and predict theirfuture performance easily. By using cloud-based IBM platform, organizationscan make more informed decisions.It is designed for enterprises from various sectors like IoT, consumerengagement, education, healthcare, energy, finance, work, and transportation.By using advanced AI and machine learning, enterprises can discover newopportunities and update themselves about possible regulations and risks. Thisapp will allow you to increase your productivity.(Source: IBM Watson)Key features: * Personalized communication * Risk mitigation * Domain-specific research * Discovery acceleration * Interaction enrichment * System condition monitoring * Liabilities detection * Disruption anticipation * Chatbots & knowledge management * Visual recognition & discovery news * Speech to text & text to speech * Natural language classifier * Tone analyzer * Personality insights * Language translator & native language classifier3 Apache MahoutApache Mahout is a distributed framework that efficiently handles theprocessing of the data. You can proficiently use this free AI tool for datamining in conjunction with Hadoop. Facebook, Foursquare, Twitter, LinkedIn,and Yahoo are all massive corporations that make use of this software for datamining.Amazon and Facebook make use of recommender engines, also known ascollaborative filtering to attract users and offer products by mining userbehavior. In one place, this open -source artificial intelligence softwaregroups objects of similar nature by making use of clustering feature. Summlyis a Google app that shows the news from different news sites.Facebook’s face detection and spam checker use the technique of classificationthat helps in deciding whether a thing justifies being a part of some type ornot. Applications can analyze data faster and more effectively by using thissoftware. You will find excellent community support in this software.(Source: Apache Mahout)Key features: * Supports a community of users * Focuses on the practical problems * Adaptive & Chatbot * Digital Assistants * Extensible programming framework * Scalable algorithms * Clustering & Classification * Provides appropriate documentation * Multi-languages * Process/Workflow Automation * Speech recognition4 OpenNNOpenNN is the free, open-source artificial intelligence software that iswritten in C++ programming language. It provides a higher processing speed.For advanced analytics, this app works as a free neural network library. Inenergy, health, and marketing, this app gets to the bottom of manyapplications.This free artificial intelligence software deals with machine learningsolutions due to the presence of sophisticated algorithms and utilities. Themachine learning solutions that are covered is regression, classification,forecasting, and association.With universal approximation properties, this software allows the design ofneural networks. The high performance of this software is its main advantage.It offers technology evaluation, proof of concept, design, and implementation.(Source: OpenNN)Key features: * Digital Assistants * Predictive Analytics * Fast performance * Speech recognition & multiple languages * Unified Modeling Language (UML) * Adaptive & Chatbot * Virtual Personal Assistant (VPA) * Sophisticated algorithms * Forecasting * Advanced analytics5 Scikit-learnScikit-learn is the free artificial intelligence tool that provides a varietyof supervised and unsupervised learning algorithms through a consistentinterface. It is considered a simple and efficient tool for data mining anddata analysis. In various contexts, this free open source AI software isreusable and accessible to everybody. You can consider this app if you want tobring machine learning into a production system.This software serves as a convenient platform that can predict consumerbehavior. Around the world, Scikit-learn is extensively used by commercial andresearch organizations. The business entities and research organizations findthe module of this software easy to use as it allows performing the multitudeof processes.(Source: Scikit-learn)Key features: * Adaptive & data ingestion * Clustering & Classification * Preprocessing * Model Selection * Dimensionality reduction * Regression * Cross-Validation * Datasets & digital Assistants * Dimensionality Reduction * Manifold Learning * Machine learning * Process/Workflow Automation * Virtual Personal Assistant (VPA)6 Accord.NETIf you are looking for a free artificial intelligence tool, then Accord.NET isapt for your requirement. This app is a .NET machine learning framework thatcombines with audio and image processing libraries. This open-source AIdevelopment tool offers statistical analysis, image processing, machinelearning, and mathematics and computer vision.For creating production-grade computer vision, audition of computer, signaldispensation, statistics applications, and commercial use, you will find thissoftware a complete framework. The structure of this software is divided intoa library that includes scientific computing along with signal and imageprocessing.(Source:Accord.NET)Key features: * Data Ingestion * Adaptive * Support Vector Machines * Deep learning * Camshift object tracking * Haar-feature image recognition * Decision Trees along with automatic code generation * Hypothesis Testing * Statistical Analysis * Hidden and conditional random fields * Standard & multinomial logistic regression * Second-order neural network learning algorithms * Digital Assistants & Multi languages * Process/Workflow Automation * Speech recognition7 TorchThis free, open-source artificial intelligence tool is a scientific computingframework with ample support for machine learning algorithms that places GPUsfirst.Torch believes in having complete flexibility and speed in buildingscientific algorithms. It makes the process enormously simple.In machine learning, computer vision, parallel processing, signal processing,networking, image, video, audio, you will find that this free AI software appcomes with a vast ecosystem of community-driven packages.Consistently, this app is evolving and is used within Facebook, Twitter, NYU,Purdue, numerous research labs, and companies. It is swift and holds massivedata along with new dynamic scoring.(Source: Torch) Key features: * Chatbot & speech recognition * Adaptive & Digital Assistants * N-dimensional array * Routines for indexing, slicing transposing * GPU support * Fixed with ports to iOS and Android backends * Neural network * Energy-based models * Predictive Analytics * Machine learning
Comparison chart of Aritificial Intelligence Software
Concluding statementAI influences many real-world applications like facial recognition, languagetranslators, and assistants like Siri, Alexa and Netflix. Not only AI isworking for consumer applications but also offers significant benefits forbusinesses and economies by contributing to productivity growth and economies.Across multiple industries, AI is exhibiting the extensiveness of technologyapplications. You will find its power in Robotics, healthcare, finance, traveland transportation, Google: smart apps, social media, e-commerce, andmarketing.In day-to-day services, AI plays an important role. We expect a lot more useof this technology in the future due to rapid growth in technology anddevelopment. The above mentioned free and open-source artificial Intelligencesoftware solutions are capable of performing frequent and computerized taskreliably. To your existing products, the open-source tools for artificialintelligence will add quality from security intelligence to investmentanalysis.With the best open-source AI tool, you can get unbelievable accuracythrough deep learning networks.I hope this piece of writing has made you familiar with the key features ofthe free and open-source AI software. In case you have come across with any ofthe artificial intelligence software as mentioned above, then feel free toshare your valuable views on the same.You will find the full-fledged list of the best Artificial IntelligenceSoftware solutions in GoodFirms platform. The list will help you getfamiliarized with several Artificial Intelligence software along with itsreviews and ratings.
Artificial Intelligence and Machine Learning
Build your knowledge of the fundamental statistical models and numericaloptimizations of machine learning, including deep learning, with applicationsin computer vision, natural language processing and intelligent userinteraction.
Artificial Intelligence Background
Before we move on to discover the various types and applications of artificialintelligence, we need to visit the world of Alan Turing and more specificallythe Turing Test; a method of inquiry.Long before AI was a commonly used term in the world. Alan Turing had made aproposition that highlighted that the criteria for a computer to qualify ashaving artificial intelligence would simply be whether or not it could mimichuman responses under specific conditions.The test places a human observer or judge at the center of it all and asks itto decide the “human” out of the two candidates (one of which is a computer).If the judge points to the computer as the human candidate, it means that thecomputer did indeed have artificial intelligence. Since it was able to presentitself convincingly as a human to a blind judge.While this test has its own set of problems with validity and even with themethod of performance. It does not do away with the fact that with the righttraining and programming, computers can gain accurate knowledge and data. Thiscan be useful to assist humans across a variety of forms/arenas.
4| Artificial Intelligence For Dummies
About: Written by Luca Massaron and John Paul Mueller, the book gives a basicintroduction to artificial intelligence and how it is used today. The bookoffers an overview of AI technology and addresses common misconceptionsregarding Artificial Intelligence. You will also discover the limits of AI,explore the use-cases for AI in computer applications etc.Buy here.
5| Artificial Intelligence for Humans
About: In this book, author Jeff Heaton writes about the basic AI algorithmssuch as dimensionality, distance metrics, clustering, error calculation, hillclimbing, Nelder Mead, and linear regression. The book explains all algorithmsusing actual numeric calculations and the reader needs a basic knowledge ofcollege algebra, mathematics and computer programming languages like Python,R, Java, C and C to understand the concepts.Buy here.
8| Artificial Intelligence: The Basics
About: Artificial Intelligence: The Basics is a concise and cutting-edgeintroduction to the fast-moving world of AI. The author Kevin Warwick examinesissues of what it means to be human and looks at advances in robotics. Thebook touches upon how intelligence can be defined, sensory input in machinesystems, the controversial culturing of human neurons, and more.Buy here.