Previous Video:- Next Video:- ✔️📚👉 Watch Full Free Course:- ✔️📚👉 Get Notes Here: ✔️📚👉 Get All Subjects playlists:- ​ ✔️📚👉 Student Feedback Form: ======================================================= ✅ In this video, ✔️ Class: 10th ✔️ Subject: Artificial Intelligence ✔️ Chapter: Introduction To AI – Foundational Concepts (Chapter 1) ✔️ Topic Name: Intelligence and Traits of Intelligence ✔️ Topics Covered in This Video: Definition of Intelligence, Traits of Intelligence:- Musical intelligence, Mathematical logic intelligence, Spatial visual intelligence, Linguistic intelligence, Kinesthetic intelligence, Linguistic intelligence, Naturalist intelligence and more ======================================================= 📢 🔥 Available (Kindergarten to 12th) all Video Subject wise Playlist Why study from Magnet Brains? Magnet Brains is an online education platform that helps gives You NCERT/CBSE curriculum based free full courses from Kindergarten to Class 12th so that you can perform well in any and all exams you give in your academic career. 👉 Contact us 🤑🤑 ➡️ Connect with us : ➡️ Website : ➡️ Subscribe to us on YouTube:… ➡️ Subscribe to Magnet Brains Hindi Medium :… ➡️ Facebook : ➡️ Instagram : ➡️ Telegram :
This Deep Learning tutorial will help you in understanding what is Deep learning, why do we need Deep learning, applications of Deep Learning along with a detailed explanation on Neural Networks and how these Neural Networks work. Deep learning is inspired by the integral function of the human brain specific to artificial neural networks. These networks, which represent the decision-making process of the brain, use complex algorithms that process data in a non-linear way, learning in an unsupervised manner to make choices based on the input. 🔥Free Artificial Intelligence Course: Below topics are explained in this Deep Learning Tutorial: Start (0:00) 1. What is Deep Learning? ( 02:25 ) 2. Why do we need Deep Learning? ( 03:42 ) 3. Applications of Deep Learning ( 04:55 ) 4. What is Neural Network? ( 11:32 ) 5. Activation Functions ( 15:50 ) 6. Working of Neural Network ( 26:14 ) Check Out Simplilearn Deep Learning Course here: 📚What is DeepLearning Article: To learn more about Deep Learning, subscribe to our YouTube channel: You can also go through the Slide here: Watch more videos on Deep Learning: #DeepLearning #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse We’ve partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here – Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning [More]
The Center for Research on Foundation Models (CRFM), a new initiative of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), hosted the Workshop on Foundation Models from August 23-24, 2021. The workshop convened experts and scholars reflecting a diverse array of perspectives and backgrounds to discuss opportunities, challenges, limitations, and societal impact of these emerging technologies. Speakers in this session: Introduction Fei-Fei Li, Sequoia Professor, Computer Science Department, Stanford University; Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence Foundation Models Percy Liang, Associate Professor of Computer Science, Stanford University
#Reinforcement Learning Course by David Silver# Lecture 1: Introduction to Reinforcement Learning #Slides and more info about the course:
🔥 Enroll for FREE Machine Learning Course & Get your Completion Certificate: This Machine Learning basics video will help you understand what is Machine Learning, what are the types of Machine Learning, what is Supervised & Unsupervised Machine Learning, what is Reinforcement Learning and will also explain how Machine Learning is being used in various businesses. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results. Machine learning is starting to reshape how we live, and it’s time we understood what it is and why it matters. Now, let’s deep dive into this short video on Machine learning and understand the basics of Machine Learning. Below topics are explained in this Machine Learning basics video: 1. What is Machine Learning? (00:52) 2. What is Supervised Learning? (01:25) 3. What is Unsupervised Learning? (01:52) 4. What is Reinforcement Learning? (02:25) 5. Simplilearn’s Machine Learning certification course (03:54) Subscribe to our channel for more Machine Learning Tutorials: Watch more videos on Machine Learning: #MachineLearning #MachineLearningAlgorithms #WhatisMachineLearning #MachineLearningBasics #SimplilearnMachineLearning #MachineLearningCourse About Simplilearn Machine Learning course: A form of artificial intelligence, Machine Learning is revolutionizing [More]
Learn about the differences between deep learning and machine learning in this MATLAB® Tech Talk. – MATLAB for Deep Learning: Walk through several examples, and learn how to decide which method to use. Learn more about Deep Learning: Download a trial: The video outlines the specific workflow for solving a machine learning problem. The video also outlines the differing requirements for machine learning and deep learning. You’ll learn about the key questions to ask before deciding between machine learning and deep learning. The choice between machine learning or deep learning depends on your data and the problem you’re trying to solve. MATLAB can help you with both of these techniques – either separately or as a combined approach.
AI vs ML vs DL Myself Shridhar Mankar a Engineer l YouTuber l Educational Blogger l Educator l Podcaster. My Aim- To Make Engineering Students Life EASY. Website – 5 Minutes Engineering English YouTube Channel – Instagram – A small donation would mean the world to me and will help me to make AWESOME videos for you. • UPI ID : 5minutesengineering@apl Playlists : • 5 Minutes Engineering Podcast : • Aptitude : • Machine Learning : • Computer Graphics : • C Language Tutorial for Beginners : • R Tutorial for Beginners : • Python Tutorial for Beginners : • Embedded and Real Time Operating Systems (ERTOS) : • Shridhar Live Talks : • Welcome to 5 Minutes Engineering : • Human Computer Interaction (HCI) : • Computer Organization and Architecture : • Deep Learning : • Genetic Algorithm : • Cloud Computing : • Information and Cyber Security : • Soft Computing and Optimization Algorithms : • Compiler Design :–SachxUTOiQ7XHw • Operating System : • Hadoop : • CUDA : • Discrete Mathematics : • Theory of Computation (TOC) : • Data Analytics : • Software Modeling and Design : • Internet Of Things (IOT) : • Database Management Systems (DBMS) : • Computer Network (CN) : • Software Engineering and Project Management : • [More]
This video is an introduction to Natural Language Processing in Hindi. It is a Natural Language Processing Tutorial where we have taught what is it in detail. Purchase notes right now, more details below: * Natural Language Processing Playlist: Sureshot exam questions: 1) Steps in Natural Language Processing: 2) Levels of Natural Language Processing: 3) Ambiguity in Natural Language Processing: 4) Morphological Parsing: 5) Inflectional & Derivational Morphology: 6) N Gram Model: 7) Language Model: 8) POS Tagging & Tag set in English: 9) Rule Based POS Tagger: 10) Stochastic POS Tagging: 11) Top Down vs Bottom Up Parsing: 0:00 – Start 0:05 – What is Natural Language Processing 0:20 – Example 1:25 – What is the process About this video: 1) Natural Language Processing Mumbai University 2) what is Natural Language Processing 3) what is Natural Language Processing in Hindi 4) what is Natural Language Processing (nlp) 5) what is Natural Language Processing in computer science 6) nlp Subscribe to my other YouTube channel: Planet Ojas Let’s have some conversation: Instagram: planetojas #NLP #ComputerEngineering
This is the first, introductory episode in a series of videos discussing the General Theory of General Intelligence as overviewed in the paper Goertzel, Ben. “The General Theory of General Intelligence: A Pragmatic Patternist Perspective.” For general background on Dr. Goertzel’s approach to AGI, see also the 2014 book The AGI Revolution: An Inside View of the Rise of Artificial General Intelligence ——– SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents. Website:​ Forum:​ Telegram:​ Twitter:​ Facebook:​ Instagram:​ Github:
introduction to artificial intelligence (AI) tutorial
Learn how to summarize any text and extract keywords. I’ve explained the concept and shown the gensim implementation! #nlp #gensim #machinelearning For more videos please subscribe – Support me if you can ❤️ NLP playlist – Source Code – Project Gutenberg – Facebook – Instagram – Twitter –
This video on What is RPA will introduce Robotic Process Automation (RPA) to you. RPA is the use of software to handle high-volume, repeated tasks that previously required humans to perform. This video will help you get started with RPA. 🔥 Enrol for FREE RPA Course & Get your Completion Certificate: Choose over 300 in-demand skills and get access to 1000+ hours of video content for FREE in various technologies like Data Science, Cybersecurity, Project Management & Leadership, Digital Marketing, and much more. Here are the topics we’ve covered in this RPA tutorial- 1. 0:00 – What is RPA? 2. Why RPA? 00:39 3. Automation vs RPA 01:12 4. What is RPA? 02:04 5. What is not RPA? 04:25 6. Features of RPA 04:55 7. Benefits of RPA 06:21 8. Types of RPA 07:10 9. RPA Software tools 07:54 10. RPA services 08:13 11. Industries adopting RPA 08:44 12. RPA Growth projections 09:41 To learn more about Robotic Process Automation(RPA), subscribe to our YouTube channel: To access the slides, click here: Watch more videos on Robotic Process Automation(RPA): #RoboticProcessAutomation #RPA #RPATutorial #WhatIsRPA #RPATraining #RPAFeatures #RPABenefits #RPAServices #Simplilearn What is RPA? Robotic Process Automation (RPA) is the use of software with Artificial Intelligence and Machine Learning capabilities to handle high-volume, repetitive tasks that previously required humans to perform. Some of these tasks include addressing queries, making calculations, maintenance of records, and performing transactions. If you want to expand your expertise in advanced intelligent applications, then this Introduction [More]
Most people think peer-to-peer (P2P) networks are just for file sharing, but it turns out you can also build other types of applications on P2P networks with advantages like enhanced privacy and security. We’ll walk through the process of building an increasingly complex P2P cloud storage system (think Dropbox), and touch on the challenges you’d run into and some of their possible solutions. Topics include efficiently locating data within a large network and building a system where we can trust random people on the internet with our personal files. EVENT: SFNode Meetup July 2018 SPEAKER: Dylan Barnard PERMISSIONS: SFNode Meetup Organizer provided Coding Tech with the permission to republish this video. CREDITS: Original video source:
Welcome to this new video series in which we will be using Natural Language Processing or it’s called NLP in short. to analyse emotions and sentiments of given text. After completing this videos series – 1) You will be able to analyse different emotions present in an essay like sadness, happiness, jealousy etc 2) You will be able to find out the dominant emotion in the text 3) You will be able to plot those emotions on a graph 4) And you will also be able to tell whether the whole text is a positive or negative emotion 5) And finally you will also be able scrap tweets with a hashtag and find out the public opinion on that hashtag. For example you can search for #donaldtrump and find out whether that emotion is associated with a positive or a negative sentiment. First we will be doing all the natural language processing and sentiment analysis on our own without the use of a library or a package. So that you guys properly understand the concepts of NLP and then we can go on to use NLTK library to shorten our work. Source Code – Next video – Installing Python and Pycharm Full playlist – Subscribe – Website – Instagram – #python #nltk #nlp
** RPA Training: ** This session on What is Blue Prism will cover all the basics concepts related to the Blue Prism platform. Below are the topics covered in this RPA Blue Prism Tutorial video: 1:31 What is RPA? 2:51 RPA Tools 5:31 What is Blue Prism? 6:16 Features of Blue Prism 9:06 Blue Prism Components 12:36 Hands-On #edureka #edurekarpa #edurekablueprism #blueprism #whatisblueprism Join Edureka’s Meetup community and never miss any event – YouTube Live, Webinars, Workshops, etc. Subscribe to our Edureka YouTube channel to get video updates: Instagram: Facebook: Twitter: LinkedIn: SlideShare: How does it work? 1. This is a 4 Week Instructor-led Online Course, 25 hours of assignment and 20 hours of project work 2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! ————————————————————————————– About the Robotic Process Automation Course Edureka’s RPA training helps you to understand the concepts around Robotic Process Automation using the leading RPA tool named ‘UiPath’. Robotic Process Automation is the automation of repetitive and rules-based human tasks working with the software applications at the presentation/UI level i.e. no software integrations are needed at middleware, server or database levels. In this course, you will learn about the RPA concepts and [More]
This all began with a doubt… AI vs ML vs DL My doubt was why these words used interchangeably even when they are not the same. I came to a conclusion about this while I was going through AI vs ML vs DL which I’ll be briefing in the last. Hierarchy- DL is subset of ML which is further a subset of AI. DL is the way in which ML is achieved. ML is the way in which AI is achieved. AI- Artificial intelligence is mimicking human intelligence and trying to to make machine as intelligent as human. This can be achieved by again mimicking the process by which by which human becomes intelligent and that is learning so here comes machine-learning which tries to make machine learn and make itself intelligent which is again a part of artificial. So here we came across the term machine learning so machine learning was about described as making machine learn and make itself intelligent but how can we make machine learn? Here again we go for a mimicking human by which he Learns and uses his intelligence. How does human achieve this? He does this by or with the help of his brain how does his brain become capable of doing search extremely wonderful things that is because of the neural network in his brain which is a collection for cluster of millions and billions of neurones forming a network which are interlinked through a synapse. Show the process of making this [More]
This data science series introduces the viewer to the exciting world of text analytics with R programming. As exemplified by the popularity of blogging and social media, textual data if far from dead – it is increasing exponentially! Not surprisingly, knowledge of text analytics is a critical skill for data scientists if this wealth of information is to be harvested and incorporated into data products. This data science training provides introductory coverage of the following tools and techniques: – Tokenization, stemming, and n-grams – The bag-of-words and vector space models – Feature engineering for textual data (e.g. cosine similarity between documents) – Feature extraction using singular value decomposition (SVD) – Training classification models using textual data – Evaluating accuracy of the trained classification models The overview of this video series provides an introduction to text analytics as a whole and what is to be expected throughout the instruction. It also includes specific coverage of: – Overview of the spam dataset used throughout the series – Loading the data and initial data cleaning – Some initial data analysis, feature engineering, and data visualization Kaggle Dataset: The data and R code used in this series is available here: — Learn more about Data Science Dojo here: Watch the latest video tutorials here: See what our past attendees are saying here: — Like Us: Follow Us: Connect with Us: Also find us on: Instagram: Vimeo: #rprogramming #textanalytics #rtutorial
An introduction to the Ethics of AI. The video provides some discussion of privacy and surveillance; manipulation and advertisement; the singularity; and the danger of mass job automation. Some good further reading Stanford Encyclopaedia of Philosophy on the Ethics of AI Computer and Information Ethics Artificial Intelligence An Ethics Guide for Tech Gets Rewritten With Workers in Mind Ethical Explorer In the news – techies leaving over ethical issues In the news – people do care about ethics, governments should incentivize / push companies towards responsible innovation EU Ethics guidelines for trustworthy AI IEEE Recommendations on AI and Ethical Use of Autonomous Tech European Group on Ethics in Science and New Technologies (EGE)   If you are interested in some of my research check out my profile And you can book private lessons with me through my site
What is RPA? A Software ‘Robot’ is a software application that replicates the actions of a human being interacting with the user interface of a computer system. For example, the execution of data entry into an SAP system – or indeed a full end-to-end business process – would be a typical activity for a software robot. Characteristics of RPA: RPA does not require programming skills. RPA can work with multiple system environment. RPA work well with well-defined rule based process. RPA work well repeatable rule based transactions.
Thore Graepel, Research Scientist shares an introduction to machine learning based AI as part of the Advanced Deep Learning & Reinforcement Learning Lectures.
This is part of a series. Stay tuned for the next part, coming soon. Efforts are underway in the oil and gas industry to improve operations efficiency and cost through drilling systems automation. Recently, there has been a convergence of several technologies such as modeling algorithms, artificial intelligence and Internet of Things. This has created an opportunity to use models for design and testing of equipment. Combining physics-based models with data driven modeling techniques enables quicker overall product development time of rig systems as well as flexibility in optimizing the design parameters. These are also key to the concept of ‘digital twins.’ This video series explores drilling systems modeling, with a focus on surface equipment including the drawworks, top drive, and mud pumps. We will demonstrate the following elements: 1. Building a physics-based model and incorporating controls using pre-built blocks. 2. Calibrating the model to the field data to create the digital twin using automated parameter estimation. 3. Using the digital twin for optimizing system performance given operational constraints. 4. Implementing state-based supervisory logic on the digital twin for testing control logic. 5. Formal methods for verification, validation and testing of control logic against system requirements. 6. Generating PLC and C++ code directly from the model. This code can be used for rapid prototyping, embedded code deployment or Hardware-in-the-loop (HIL) testing. 7. Import existing PLC code for verification and testing. Additional Resources: – MATLAB for the Oil and Gas Industry: – Simulator codes on File Exchange: – Simulator [More]
** RPA Training: ** This session on RPA Blue Prism will cover all the basic concepts of the RPA Tool Blue Prism. Following are the topics covered in the video: What is Robotic process Automation? RPA Tools What is Blue Prism? Features of Blue Prism Blue Prism Components Benefits of Blue prism Case Study of Blue Prism Companies Using Blue Prism RPA Playlist: RPA Blog Series: Subscribe to our Edureka YouTube channel to get video updates: Instagram: Facebook: Twitter: LinkedIn: How does it work? 1. This is a 4 Week Instructor-led Online Course, 25 hours of assignment and 20 hours of project work 2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! ————————————————————————————– About the Robotic Process Automation Course Edureka’s RPA training helps you to understand the concepts around Robotic Process Automation using the leading RPA tool named ‘UiPath’. Robotic Process Automation is the automation of repetitive and rules-based human tasks working with the software applications at the presentation/UI level i.e. no software integrations are needed at middleware, server or database levels. In this course, you will learn about the RPA concepts and will gain in-depth knowledge on UiPath tool using which you will be able [More]
Making Friends with Machine Learning was an internal-only Google course specially created to inspire beginners and amuse experts. Today, it is available to everyone! This is the first hour-and-a-half of a six hour session. The course is designed to give you the tools you need for effective participation in machine learning for solving business problems and for being a good citizen in an increasingly AI-fueled world.  MFML is perfect for all humans; it focuses on conceptual understanding (rather than the mathematical and programming details) and guides you through the ideas that form the basis of successful approaches to machine learning. It has something for everyone! To stay tuned for Parts 2-4, don’t forget to hit that that subscribe+notify button!