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AI is a technology that is revolutionizing how work is done. Automation is making some jobs obsolete while simultaneously creating brand new fields of work and study. This video explores the ethics of developing AI responsibly and fairly while respecting peoples’ privacy and livelihoods. Featuring Amanda Askell – Ethicist at Open AI Alejandro Carrillo – Roboticist at Farmwise Deb Raji – the Algorithmic Justice League Kate Park – PM at Tesla Autopilot Dr. Regina Barzilay – Professor of CS & AI at MIT Dr. Mehran Sahami – Professor of CS & AI at Stanford Deon Nicholas – CEO of Forethought AI Ananya Karthik – Stanford AI Student Start learning at http://code.org/ Stay in touch with us! • on Twitter https://twitter.com/codeorg • on Facebook https://www.facebook.com/Code.org • on Instagram https://instagram.com/codeorg • on Tumblr https://blog.code.org • on LinkedIn https://www.linkedin.com/company/code-org • on Google+ https://google.com/+codeorg Produced and Directed by Jael Burrows Co-produced by Kristin Neibert Written by Hadi Partovi, Winter Dong and Jael Burrows Edited by Neal Barenblat Camera by Bow Jones, Stanford Media Lab, Sand Bay Entertainment, the Clock Factory, and Vic Ferrer
StudyIQ’s LIVE UPSC IAS (Pre+Mains) Course: https://bit.ly/3GRXoyr . Batch Starting from 20th June. Hurry!! Limited Seats First time in HISTORY StudyIQ brings to you Most Affordable “UPSC IAS (Pre + Mains) Full LIVE Foundation Batch” to aid your preparation in completing your Journey to LBSNAA. This course is meticulously designed to cover the exhaustive prelims-cum-mains syllabus. The important course features are – 1. 900+ Hours of Live teaching by our faculties 2. One to one mentorship to keep you on track to achieve the target 3. Crisp and concise Lecture Notes, Handouts on static topics 4. MCQ based learning for every lecture to enhance retention 5. Answer writing program guided by our experienced faculties 6. Daily Current Affairs Programme (CAP) PDF + Videos covering multiple sources 7. Benchmarking of students through weekly revision tests for students 8. Prelims Test Series to make you battle ready for Prelims exam 9. Group mentorship sessions by senior bureaucrats, selected candidates and senior aspirants Special Benefits # Course is available as an Early Bird Offer at Rs.19999 for the first 200 enrolments. Use Coupon Code “LIVE” at the time of checkout Download the App to Subscribe to the Course – https://bit.ly/StudyIQAPP For More Information regarding the course, Visit: https://bit.ly/3GRXoyr Download the Complete Brochure at https://bit.ly/3myQPrf For any doubt, Call 95-8004-8004 or Click here for Whatsapp Chat http://wa.me/919554443351 Gaurav Sir Courses – One-Stop Solution for Current Affairs of all Government Exams. Gaurav Sir Current Affairs https://bit.ly/3jwDRsv Complete Static GK by Dr. Gaurav Garg https://bit.ly/3O0FaxE Banking [More]
introduction to artificial intelligence (AI) tutorial
We will go over what machine learning is, what it can be used for and we will create a model using C# & ML.NET Jon Wood YouTube Channel: http://youtube.com/c/JonWood Code: https://github.com/jwood803/MLNet_CrashCourse/blob/master/MLNetCrashCourse/Program.cs Data: https://www.kaggle.com/camnugent/california-housing-prices ML.NET: https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet Timestamps: 00:00 – Intro 00:20 – What is Machine Learning? 01:05 – Types of Machine Learning Systems 01:55 – Supervised Learning 02:36 – Unsupervised Learning 03:17 – The Machine Learning Process 05:26 – What is ML.NET? 05:42 – Benefits of ML.NET 08:01 – ML.NET Model Builder 07:49 – ML.NET Demo: The data 08:53 – ML.NET Demo: Installing ML.NET 09:37 – ML.NET Demo: Creating the ML Context 09:48 – ML.NET Demo: Loading in the data 11:47 – ML.NET Demo: Splitting the data 12:47 – ML.NET Demo: Extract Features 13:53 – ML.NET Demo: Building the Pipeline 15:43 – ML.NET Demo: Create Model and Make Test Predictions 16:21 – ML.NET Demo: Evaluate the Model 17:03 – ML.NET Demo: Running the Program 17:36 – ML.NET Model Builder Demo 20:44 – Conclusion
Could machine learning give new insights into diseases, widen access to healthcare, and even lead to new scientific discoveries? Already we can see how machine learning can increase the accuracy of diagnoses from medical imaging, and may be able to predict a patients risk of disease. This Keynote Session includes short talks by Lily Peng of Google Brain and Jessica Mega of Verily (Alphabet) about how they are bringing technological innovations in AI and machine learning to healthcare. Rate this session by signing-in on the I/O website here → https://goo.gl/Bj2YZD Watch more machine learning sessions from I/O ’18 here → https://goo.gl/9MB2o7 See all the sessions from Google I/O ’18 here → https://goo.gl/q1Tr8x Subscribe to the Google Developers channel → http://goo.gl/mQyv5L #io18 event: Google I/O 2018; re_ty: Publish; product: Cloud – Healthcare and Life Sciences – Healthcare Natural Language AI, TensorFlow – General; fullname: Lily Peng, Jessica Mega; event: Google I/O 2018;
*** Machine Learning Training with Python: https://www.edureka.co/machine-learning-certification-training *** This Edureka video on ‘Unsupervised Learning’ goes over the basics of Machine Learning, What is Unsupervised Learning in detail, its importance, types and algorithms, various applications and some of the major advantages and disadvantages that Unsupervised Learning poses. Below are the Topics Covered in this Machine Learning Tutorial Video: 0:46 – Agenda 1:26 – Overview of Machine Learning 3:27 – What is Unsupervised Learning? 5:50 – Importance of Unsupervised Learning 6:47 – Types of Unsupervised Learning 20:47 – Supervised vs. Unsupervised Learning 21:39 – Disadvantages of Unsupervised Learning Check out our playlist for more videos: http://bit.ly/2taym8X Subscribe to our channel to get video updates. Hit the subscribe button above. Instagram: https://www.instagram.com/edureka_lea… Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka#Edureka #EdurekaUnsupervisedLearning #WhatIsUnsupervisedLearning #MachineLearning How does it work? 1. This is a 5 Week Instructor-led Online Course,40 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 be working on a real-time project for which we will provide you with a Grade and a Verifiable Certificate! – – – – – – – – – – – – – – – – – About the Course Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding [More]
With the abundance of well-documented machine learning (ML) libraries, it’s fairly straightforward for a programmer to “do” ML, without any understanding of how things are working. And we encourage this “black boxes” machine learning! (At least to start.) However, to make proper use of these ML libraries, one needs to be conversant in the basic vocabulary, concepts, and workflows that underlie ML. We’ll introduce the standard ML problem types (classification and regression) and discuss prediction functions, feature extraction, learning algorithms, performance evalution, cross-validation, sample bias, nonstationarity, overfitting, and hyperparameter tuning. This lecture may be safely skipped by those already familiar with practical machine learning. Access the full course at https://bloom.bg/2ui2T4q
🔥 Enroll for FREE Machine Learning Course & Get your Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube This Linear Regression Analysis video will help you understand the basics of linear regression algorithm. You will learn how Simple Linear Regression works with solved examples, look at the applications of Linear Regression and Multiple Linear Regression model. In the end, we will implement a use case on profit estimation of companies using Linear Regression in Python. Dataset Link – https://drive.google.com/drive/folders/1BNAsNI6cbwX8I81Wf42xzNtoOzDLw9to Below topics are covered in this Linear Regression Analysis Tutorial: 1. Introduction to Machine Learning 2. Machine Learning Algorithms 3. Applications of Linear Regression 4. Understanding Linear Regression 5. Multiple Linear Regression 6. Usecase – Profit estimation of companies What is Linear Regression Analysis? Machine Learning is an application of Artificial Intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Linear regression is a statistical model used to predict the relationship between independent and dependent variables by examining two factors: Which variables, in particular, are significant predictors of the outcome variable? How significant is the regression line in terms of making predictions with the highest possible accuracy? Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 For a more detailed understanding of Linear Regression Analysis, do visit: https://bit.ly/2OsDxeA You will find in-depth content on Machine Learning. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE. Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Linear-Regression-NUXdtN1W1FE&utm_medium=Tutorials&utm_source=youtube To gain in-depth [More]
A high-level talk about AI and what it means for humanity. ~~~ References: 1) Can we build AI without losing control over it? | Sam Harris (https://youtu.be/8nt3edWLgIg) 2) The danger of AI is weirder than you think | Janelle Shane (https://youtu.be/OhCzX0iLnOc) 3) “The Rise of the Drones” NOVA season 40, episode 8 (https://youtu.be/0p4BQ1XzwDg) 4) Artificial Intelligence: it will kill us | Jay Tuck | TEDxHamburgSalon (https://youtu.be/BrNs0M77Pd4) 5) The Real Reason to be Afraid of Artificial Intelligence | Peter Haas | TEDxDirigo (https://youtu.be/TRzBk_KuIaM) 6) Introduction to Machine Learning with Tensoreflow.js | Asim Hussain 7) Gordon Moore | Wikipedia (https://en.wikipedia.org/wiki/Gordon_Moore) 8) Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn (https://youtu.be/bfmFfD2RIcg) 9) AI in China | Siraj Raval (https://youtu.be/4Gk6mxKXKTk) 10) From Artificial Intelligence to Superintelligence: Nick Bostrom on AI & The Future of Humanity | Science Time (https://youtu.be/Kktn6BPg1sI)
Det er mye snakk om Kunstig intelligens i disse dager. Så naturlig at man blir inspirert av vitenskapens tripping inn i Skrekk og Gru. Men filmen min var ikke planlagt, jeg trippet tilfeldig inn i den. For noen hadde lagt fra seg et tyggis oppå knappeseksjonen inni heisen. Hadde ikke jeg vært over to meter, så hadde jeg nok ikke sett den. Men jeg observerte altså denne inntørkede tyggisen som minnet sterkt om en hjerne. Tja, man pleier jo å se hva man hører mye om i media, som faktisk ikke eksisterer i virkeligheten,…og så var filmen klar. Den laget vel egentlig seg selv via assosiasjoner. Litt innsikt i problematikken via to TED forelesninger: “Can we build AI without losing control over it? | Sam Harris” https://www.youtube.com/watch?v=8nt3edWLgIg “Artificial Intelligence: it will kill us | Jay Tuck | TEDxHamburgSalon” https://www.youtube.com/watch?v=BrNs0M77Pd4 Jeg filmet det med en iPhone 7 Plus og redigerte det sammen på mobilen i Luma Fusion som jeg også har et Storyblocks abonnement igjennom. …jeg har tenkt å innvestere i en MOZA Mini-S gimbal som er samenleggbar ned til jakkelomme format til en alltid-med-på-tur. kun $79 på Amazon. Link til video fra “Think Media” som viser den fram “Best Budget Smartphone Gimbal 2019? — MOZA Mini-S” https://youtu.be/K-WMuWSmTnQ?t=62
Years and years ago, I saw this movie called “Six – The Mark Unleashed”. It was a very eye-opening movie about just what type of society we’d be living in, in the near future. That future is NOW. And here’s the really creepy thing. In the movie, a super intelligent AI was “made in the image of the beast”. And IT was talking to the people who had taken The Mark and giving THEM orders and instructions to obey. And all the rest of the people in the movie who didn’t take The Mark were imprisoned and later KILLED! And back then, the movie seemed so far-fetched and “extra-dramatical”. Well guess what, folks? That “movie” is NOW BECOMING A REALITY! The city of Jerusalem is set to soon be divided, there’s talks of the 3rd Jewish Temple being rebuilt, not to mention that Trump and his administration want to move the US Embassy TO Jerusalem! There’s something going on here, folks! Something BIG that the media’s trying to cover up (for NOW, anyways…….) It makes me wonder if the 2 Witnesses are there in Jerusalem already and the media’s just trying to hide it or what…..(But that’s a different video for a different day). Here’s one of the weirdest things, folks. Not ONLY is there now an intelligent robot by the name of Sophia but Saudi Arabia has granted her CITIZENSHIP! That’s right…….CITIZENSHIP! What is going on here, folks? There’s ALOT of things the media’s not telling us about just [More]
What is this? We want this to be a coming-of-age “vodcast” where we attempt to showcase perspectives from people still “figuring it out”, it being their academics, careers, relationships, and lives. Who are we? Our degrees classify us as engineers. After graduating from the same college, we’re now in different timezones, different careers and at different stages of life. Why are we doing this? Everyone’s struggling with their identities, nobody has it all worked out. The sooner we realise this, the sooner we’ll start enjoying the short amount of time we have being alive. We plan this to be a common place to collect experiences and thoughts that may help people facing similar struggles in their lives. It would also be something tangible (or should we say, audible) for us to look back on (or hear) years down the line. Enjoy! Available on Spotify : https://open.spotify.com/show/0Mjx9lq… Follow us on Instagram ➡️: https://www.instagram.com/wakindigram/ Goutham B : https://www.instagram.com/goutham_balachandran/ Goutham K : https://www.instagram.com/lord_dingan/ Yadu K : https://www.instagram.com/yadu_k_/ Song: JJD – Adventure [NCS Release] Music provided by NoCopyrightSounds Free Download/Stream: http://ncs.io/adventure Watch: http://youtu.be/f2xGxd9xPYA #artificialintelligence #samharris #tedtalk #buildingai #future
Outline * The Promise versus Reality: Healthcare, Medical Imaging, and A.I. * The State of Deep Learning in Radiology and Medical Imaging Research * Understanding Radiology Workflow: What Problems Are Yet To Be Solved * The Top 5 Problems and Mitigations to Bringing Your AI Solution to Clinical Application * Call to Action: Datasets and Python Toolset Resources for Approaching Medical Imaging Description This talk will discuss the state of deep learning from a uniquely clinical perspective and offer the audience member an opportunity to understand the challenges facing the clinical medical imaging community and outline opportunities for the Python community to engage with clinicians. It will examine the disconnect between what has been promised versus what’s been delivered between radiology and artificial intelligence. A brief review of the most exciting and recent research and methodologies as applied to medical imaging will be performed. We will discuss how machine learning could be applied to the full spectrum of radiology workflow beyond simply computer assisted detection and characterization. There will be a broadly applicable discussion of the Top 5 problems and mitigations necessary for individuals and organizations bringing their A.I. solutions to a clinical setting. Finally, there will be a summary of datasets and Python resources that will assist interested developers in contributing to the growing medical imaging A.I. community. This material has not been presented previously elsewhere. Presentation page — https://2017.pycon.ca/schedule/13/
The second iteration of the Thinking Machines series will expand on the themes and conversations presented in the exhibition “Uncanny Valley: Being Human in the Age of AI”. Join us for the first out of the three part programming series that explores the ethical questions and public discourse around AI. Hear Dr.Kate Crawford as she discusses the themes of her book, “The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence”, which explore the hidden costs of artificial intelligence, from natural resources and energy to labor and data, and reveals how AI systems have saturated political life and depleted the planet. The conversation will be an opportunity to hear how artificial intelligence already permeates many aspects of our lives—politics, purchasing, policing, banking, social interaction, employment—in ways that are profoundly shifting how power is concentrated across the world. Thinking Machines is made possible with support from AppDynamics About the Speaker Dr. Kate Crawford is a leading scholar of the social and political implications of artificial intelligence. Her work focuses on understanding large-scale data systems, machine learning and AI in the wider contexts of history, politics, labor, and the environment. She is a Research Professor of Communication and STS at USC Annenberg, a Senior Principal Researcher at MSR-NYC, and the inaugural Visiting Chair for AI and Justice at the École Normale Supérieure. Her academic research has been published in journals such as Nature, New Media & Society, Science, Technology & Human Values and Information, Communication & Society. Crawford’s work [More]
First look at Ameca , most advanced humanoid robot from @Engineered Arts Designed as a platform for AI and human robot interaction (HRI) . Will be on show at #ces2022. For more information check https://www.engineeredarts.co.uk/robot/ameca/ #robot #humanoidrobots #ai
Incredible advances in AI and robotics, with Elon Musk. Please visit https://brilliant.org/digitalengine – a great place to learn about AI and STEM subjects. You can get started for free and the first 200 people will get 20% off a premium annual subscription. Thanks to Brilliant for sponsoring this video. Elon Musk on Tesla and it’s AI robot, at TED https://www.youtube.com/watch?v=YRvf00NooN8 DALL-E 2, OpenAI https://www.youtube.com/watch?v=qTgPSKKjfVg&t=12s Artificial wombs, with Cleo Abram https://www.youtube.com/watch?v=mLYMAkgvZsI PaLM, with Dr Alan D. Thompson https://www.youtube.com/watch?v=kea2ATUEHH8
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 – http://bit.ly/normalizedNERD Support me if you can ❤️ https://www.paypal.com/paypalme2/suji04 https://www.buymeacoffee.com/normalizednerd NLP playlist – https://www.youtube.com/playlist?list=PLM8wYQRetTxCCURc1zaoxo9pTsoov3ipY Source Code – https://github.com/Suji04/NormalizedNerd/blob/master/Introduction%20to%20NLP/Summarization%20%26%20Keyword%20Extraction.ipynb Project Gutenberg – https://www.gutenberg.org/files/2852/2852-h/2852-h.htm#chap15 Facebook – https://www.facebook.com/nerdywits/ Instagram – https://www.instagram.com/normalizednerd/ Twitter – https://twitter.com/nomalized_nerd
Explained how to Calculate Term Frequency–Inverse Document Frequency (TF-IDF) with vey simple example. TF-IDF is a statistical measure that evaluates how relevant a word is to a document in a collection of documents. This is done by multiplying two metrics: how many times a word appears in a document, and the inverse document frequency of the word across a set of documents. It has many uses, most importantly in automated text analysis, and is very useful for scoring words in machine learning and data science algorithms for Natural Language Processing (NLP). TF-IDF was invented for document search and information retrieval. This method can be uses for text clustering, text classification, and text information retrieval in real life projects and data science tasks. This video introduces a calculation example of how to get TF-IDF for a corpus consist just of two sentences for a given term. On the top of this video, you should be little familiar with BOW (Bag of Words), Stemming, Stop Words meaning, Semantic Segmentation and related NLP/NLU (Natural Language Understanding techniques). With this video I did not dive into real Python programming. If you feel that you need such tutorial, let me know in comments. #tfidf #naturallanguageprocessing #textanalytics
🔵 Intellipaat natural language processing in python course: https://intellipaat.com/nlp-training-course-using-python/ In this natural language processing video, you will learn what is a natural language, text mining in NLP, file handling in python, NLTK package, tokenization, artificial intelligence, hands-on demo, frequency distribution, stop words, and the concepts of bigrams, trigrams, and n-grams, NLP interview questions in detail. This NLP with Deep Learning and Machine Learning video is a must-watch for everyone who wants to learn NLP and make a career in the AI domain. #NaturalLanguageProcessing #NLPdeeplearning #NLPMachineLearning #NLPPython #NLPCourse #NLPTraining #NLPTutorial #Intellipaat The following topics are covered in this video: 01:47 – Introduction to NLP 03:41 – Tokenization 12:13 – Lemmatization 13:36 – Parts of Speech Tagging 16:12 – Named Entity Recognition 18:29 – Introduction to Spacy 26:07 – Sentiment Analysis using NLTK 46:26 – Text Mining 47:12 – Need of Text Mining 48:19 – Natural Language Processing(NLP) 49:21 – Installing Anaconda 51:19 – OS Module in Python 58:35 – File Handling in Python 59:26 – Creating File Object 01:00:35 – Reading from a File 01:04:02 – Writing to a File 01:08:07 – Working with Word Files 01:13:27 – Natural Language Toolkit (NLTK) 01:14:12 – NLTK Corpora 01:15:51 – Chunking 01:36:34 – Chinking 01:43:04 – Why Artificial Intelligence? 01:50:35 – Machine Learning 01:55:50 – Machine Learning Types 02:05:12 – Introduction to Deep Learning 02:07:40 – Application of Deep Learning 02:10:07 – What is Neural Network? 02:17:10 – Activation Functions 02:21:23 – Perceptron Training Algorithm 02:24:11 – What are Tensors? 02:26:07 – Program [More]
The Naive Bayes classifier is a simple classifier that classifies based on probabilities of events. It is the applied commonly to text classification. Though it is a simple algorithm, it performs well in many text classification problems. Other Pros include less training time and less training data. Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join Please do subscribe my other channel too https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw If you want to Give donation to support my channel, below is the Gpay id GPay: krishnaik06@okicici Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06
PM KISAN eKYC through CSC Biometric | Pm kisan ekyc Without OTP Using Fingerprint full process This video is about PM Kisan ekyc Using Startech Finger Print Scanner through CSC portal To get further benefits under PM Kisan Samman Nidhi Yojana, all of you farmers will have to get KYC done. The link was also added on the official website but due to technical problem there, the gender has been removed. A tweet was made by CSC yesterday in which it has been told that now Delhi can do KYC of farmers through CSC portal. In this video I have streamed a complete video to all of you about this process, how you have to do KYC of farmers. dinesh tyagi (CEO ) Dear VLE The eKYC for PM KISAN is enabled through CSCs . Currently you will be able to work only using Startek Biometric device and soon others will also be enabled. Use digital Seva portal to login or click on csc login button at https://Pmkisan.gov.in.Kindly help every farmer Important Link Topics covered this video pm kisan ekyc kaise kare, pm kisan ekyc, pm kisan ekyc through csc, pm kisan ekyc without otp, csc pm kisan ekyc, pm kisan ekyc new update, pm kisan ekyc data not found problem, pm kisan gov in ekyc, ekyc pm kisan online, aadhar ekyc pm kisan without otp, pm kisan aadhar ekyc kaise kare, pm kisan kyc online,kisan card ekyc, pm kisan,ekyc pm kisan yojana, pm kisan ekyc problem, pm kisan kyc [More]
How to Aadhar Link With Ration Card Biometric Assamese News Check Ration Card List Online- http://164.100.62.55/ERCMSASSAM/mainreports.aspx?r=RPTVillRcMemberDetails
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