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In this video, learn how to publish your bot to a custom website so your customers can interact with it with Power Virtual Agents. Learn more: https://aka.ms/TryPVA
An overview of the Microsoft Power Platform in 15 minutes, covering all the fundamental tools in the platform, what they do, and examples of when to use them. This video covers Power Apps, Power Automate, Power Virtual Agents, Power BI, as well as other platform tools and concepts – Microsoft Dataverse, AI Builder and Dataverse for Teams. Each section is accompanied by a short demo video. #powerplatform #powerapps #dataverse 0:00 – Introduction to Power Platform 0:21 – What are business applications? 1:25 – Power Apps (Canvas, Model-Driven, Portals, Custom Pages) 4;52 – Power Automate (Cloud Flows, Business Process Flows, Desktop Flows, Process Advisor) 7:31 – Power Virtual Agents 8:55 – Power BI 9:11 – Using Power Platform tools together 10:35 – Microsoft Dataverse 11:42 – AI Builder 12:20 – Dataverse for Teams 14:02 – Get subscribed
The Applied Machine Learning Days channel features talks and performances from the Applied Machine Learning Days. AMLD is one of the largest machine learning & AI events in Europe, focused specifically on the applications of machine learning and AI, making it particularly interesting to industry and academia. Next edition will be held in January 25-28, 2020 @ EPFL, Lausanne, Switzerland. Follow AMLD on Twitter: https://www.twitter.com/appliedmldays on LinkedIn: https://www.linkedin.com/company/appliedmldays on Facebook: https://www.facebook.com/appliedmldays/ AMLD Website: https://www.appliedmldays.org
Keynote by Jeff Dean at AI NEXTCon Silicon Valley http://www.xnextcon.com
Group Discussion on Artificial intelligence Team members: 19BBS0116 – Ayushi Aggarwal 19BBS0138 – K Sree Charan Reddy 19BBS0144 – Sowmya Rajnarayanan 19BBS0145 – Sai Vinay 19BBS0148 – Mahi Pavan Teja Sathuguna Sai
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Lecture 3 continues our discussion of linear classifiers. We introduce the idea of a loss function to quantify our unhappiness with a model’s predictions, and discuss two commonly used loss functions for image classification: the multiclass SVM loss and the multinomial logistic regression loss. We introduce the idea of regularization as a mechanism to fight overfitting, with weight decay as a concrete example. We introduce the idea of optimization and the stochastic gradient descent algorithm. We also briefly discuss the use of feature representations in computer vision. Keywords: Image classification, linear classifiers, SVM loss, regularization, multinomial logistic regression, optimization, stochastic gradient descent Slides: http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture3.pdf ————————————————————————————– Convolutional Neural Networks for Visual Recognition Instructors: Fei-Fei Li: http://vision.stanford.edu/feifeili/ Justin Johnson: http://cs.stanford.edu/people/jcjohns/ Serena Yeung: http://ai.stanford.edu/~syyeung/ Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. From this lecture collection, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision. Website: http://cs231n.stanford.edu/ For additional learning opportunities please visit: http://online.stanford.edu/
In this video I am going to share 5 career paths in Artificial intelligence (AI). If you like this video, please check out the following top-rated courses on Udemy: Modern Artificial Intelligence with Zero Coding https://www.udemy.com/course/modern-artificial-intelligence-with-zero-coding/?referralCode=62EE759C06EF0BAF699A Python & Machine Learning for Financial Analysis https://www.udemy.com/course/ml-and-python-in-finance-real-cases-and-practical-solutions/?referralCode=4B6502E065821E886C6E Modern Artificial Intelligence Masterclass: Build 6 Projects https://www.udemy.com/course/modern-artificial-intelligence-applications/?referralCode=3A1C79099D9CCB1D482B AWS SageMaker Practical for Beginners | Build 6 Projects https://www.udemy.com/course/practical-aws-sagemaker-6-real-world-case-studies/?referralCode=36D5AA54496B682D0D65 Data Science for Business | 6 Real-world Case Studies https://www.udemy.com/course/data-science-for-business-6-real-world-case-studies/?referralCode=028F68A46A519870807B AWS Machine Learning Certification Exam | Complete Guide https://www.udemy.com/course/amazon-web-services-machine-learning/?referralCode=07A0615400D9D1766930 TensorFlow 2.0 Practical https://www.udemy.com/course/tensorflow-2-practical/?referralCode=2009364111D673CAB7D6 TensorFlow 2.0 Practical Advanced https://www.udemy.com/course/tensorflow-2-practical-advanced/?referralCode=57D1520CB407568F7E81 Machine Learning Regression Masterclass in Python https://www.udemy.com/course/machine-learning-regression-masterclass-in-python/?referralCode=C473449E55009C3C19AD Machine Learning Practical Workout | 8 Real-World Projects https://www.udemy.com/course/deep-learning-machine-learning-practical/?referralCode=E4F2FD5068F398EE7CC9 Machine Learning Classification Bootcamp in Python https://www.udemy.com/course/machine-learning-classification/?referralCode=492B6665E11EFD36F87D MATLAB/SIMULINK Bible|Go From Zero to Hero! https://www.udemy.com/course/matlabsimulink-biblego-from-zero-to-hero/?referralCode=14304D32D81878AD4F8E Python 3 Programming: Beginner to Pro Masterclass https://www.udemy.com/course/python-3-beginner-to-pro/?referralCode=D3E22C545F5EF7052629 Autonomous Cars: Deep Learning and Computer Vision in Python https://www.udemy.com/course/autonomous-cars-deep-learning-and-computer-vision-in-python/?referralCode=ABD5D1368BBD00D65226 Control Systems Made Simple | Beginner’s Guide https://www.udemy.com/course/control-systems-made-simple-modeling-simulation-control/?referralCode=A5F01F4E703DEC03B3A1 Artificial Intelligence in Arabicالذكاء الصناعي مبتدئ لمحترف https://www.udemy.com/course/artificial-intelligence-in-arabic/?referralCode=72FD85D08ADCBA46E903 The Complete MATLAB Computer Programming Bootcamp https://www.udemy.com/course/the-complete-computer-programming-boot-camp/?referralCode=4B2A7BFAF95EFC4ABD32 I hope you guys enjoyed my videos. Please subscribe to my channel for more videos: https://www.youtube.com/channel/UC76VWNgXnU6z0RSPGwSkNIg So what really is AI? AI is the science that empowers computers to mimic human intelligence such as decision making, reasoning, text processing, and visual perception. 1. DATA SCIENTIST Data science is the science of extracting useful information from a large unstructured amount of data. The goal of a data scientist is to solve company problems using data. Data science entails everything that has something to do with data such as: (1) Collecting [More]
Full episode with Andrew Ng (Feb 2020): https://www.youtube.com/watch?v=0jspaMLxBig Clips channel (Lex Clips): https://www.youtube.com/lexclips Main channel (Lex Fridman): https://www.youtube.com/lexfridman (more links below) Podcast full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Podcasts clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 Podcast website: https://lexfridman.com/ai Podcast on Apple Podcasts (iTunes): https://apple.co/2lwqZIr Podcast on Spotify: https://spoti.fi/2nEwCF8 Podcast RSS: https://lexfridman.com/category/ai/feed/ Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me. Subscribe to this YouTube channel or connect on: – Twitter: https://twitter.com/lexfridman – LinkedIn: https://www.linkedin.com/in/lexfridman – Facebook: https://www.facebook.com/lexfridman – Instagram: https://www.instagram.com/lexfridman – Medium: https://medium.com/@lexfridman – Support on Patreon: https://www.patreon.com/lexfridman
Can Aritifical Intelligence Fully Edit Your Photos? With the upcoming release of Luminar AI, we may see AI do all the heavylifting of image retouching. In this episode, we will explore the upcoming features of Luminar AI, and how it will help your photo editing workflow in Photoshop. ► Special Price for Luminar AI: https://pix.live/luminarai ► Coupon code PIXSKY10 saves $10 (or €10) when purchasing the sky packs at https://pix.live/luminarskies Whether you are into editing landscapes or retouching portraits, this software promises to have a bunch of AI-powered tools to make editing fun, simple, amazing, and most importantly, remarkably fast. We will go through the new featuers so that you can decide whether or not you can buy Luminar AI. ► SHARE: https://goo.gl/IUhnUl ►LET’S CONNECT: Facebook: http://facebook.com/piximperfect Twitter: https://twitter.com/piximperfect Instagram: https://www.instagram.com/piximperfect
Enlai explores how natural intelligence inspires artificial intelligence. He meets A.I. trained to think like artists, musicians, doctors & scientists, and he learns how A.I. can outsmart us. Filmed and broadcasted in 2019. WATCH MORE Becoming Human Part 1: https://youtu.be/LO6aybP6pR4 Part 3: https://youtu.be/cv2koXuaPac Part 4: https://youtu.be/cv2koXuaPac ======== About the show: Comedic actor Chua Enlai embarks on a zany exploration of artificial intelligence. He examines how A.I. is becoming human as it is shaped by our love, intelligence, ethics and power. ============== #CNAInsider #BecomingHumanCNA #AI #ArtificialIntelligence #Technology For more, SUBSCRIBE to CNA INSIDER https://cna.asia/insideryoutubesub Follow CNA INSIDER on: Instagram: https://www.instagram.com/cnainsider/ Facebook: https://www.facebook.com/cnainsider/ Website: https://cna.asia/cnainsider
In this video i talk about the reality of Artificial Intelligence jobs. Specifically I discuss: 1. Reality of Getting Machine Learning/AI Jobs at top product companies like Google, Facebook as a fresher. 2. Setting realistic deadlines and timelines to get a job in this field. 3. Salary and package Expectations as a fresher for machine learning/deep learning engineer roles. Do subscribe to the channel and like the video if you want more videos like this! You can connect with me on my socials: Linkedin: https://www.linkedin.com/in/nachiketa-hebbar-86186515b/ My 2nd Youtube Channel: https://www.youtube.com/channel/UCJBz6f1QtbNrDYwR-AUcSjA My medium account(I publish blogs here): https://nachihebbar.medium.com/
Enlai explores if we can truly love artificial intelligence, and teach it to love us back. He meets empassioned love robots and chatbots trained on memories of people, living and dead. Filmed and broadcasted in 2019. WATCH MORE Becoming Human Part 2: https://youtu.be/rZM2W4ya_Cw Part 3: https://youtu.be/cv2koXuaPac Part 4: https://youtu.be/cv2koXuaPac ======== About the show: Comedic actor Chua Enlai embarks on a zany exploration of artificial intelligence. He examines how A.I. is becoming human as it is shaped by our love, intelligence, ethics and power. ============== #CNAInsider #BecomingHumanCNA #AI #ArtificialIntelligence #Technology For more, SUBSCRIBE to CNA INSIDER https://cna.asia/insideryoutubesub Follow CNA INSIDER on: Instagram: https://www.instagram.com/cnainsider/ Facebook: https://www.facebook.com/cnainsider/ Website: https://cna.asia/cnainsider
Musk suggests that Neuralink will facilitate his mission to merge humans with artificial intelligence – and subsequently save the human race from AI Elon Musk’s Plan To Merge Humans With A.I.
Welcome to BlockSpaces Live! There is a lot of speculation about the impact of Artificial Intelligence on Blockchain. Part of the problem is the folklore surrounding Artificial Intelligence and Blockchain. Putting the two technologies together has the potential to use data in ways that were never before thought possible. Data is the key ingredient for the development and enhancement of AI algorithms, and blockchain secures this data, allowing us to audit all intermediary steps AI takes to draw conclusions from the data and allows individuals to monetize their produced data. Will combining these new technologies cause more problems then they solve? Let us know your thoughts in the comments below. Hosted by Shahan Khoshafian Guests: Dr.Setrag Khoshafian – Principal & Chief Scientist, Khosh Consulting Chuck Dyer – DXC Technologies Visit us at https://blockspaces.io Join us every Thursday at 12PM/EST. Please remember to Like, Share, & Subscribe to our channel now to catch our next discussion.
Compliance, cost-efficiency, accessibility, how will the convergence of future technology brings a differentiated impact on our business? Speaker: Rajesh Dhuddu, Global Practice Leader, Blockchain Tech Mahindra Key takeaways: – Cognification through a strong interplay of tech like AI, IOT, ML, Extended Reality & Blockchain will herald future digital transformation & reinvent our lives – Driving factors for adoption of such emerging tech in personal & enterprise/ business lives
A globally recognized leader in AI, Andrew Ng joins GREAT MINDS to help us change the world with AI. As a pioneer both in machine learning and online education, Dr. Ng has changed countless lives through his works. He has authored or co-authored over 100 research papers in machine learning, robotics, and related fields. He was the chief scientist at Baidu, the founding lead of the Google Brain team, and the co-founder of Coursera – the world’s largest MOOC platform. In 2013, he made the list of the Time 100: The Most Influential People in the World. In his lectures, Dr. Ng not only teaches us about the current state of AI but also shows us the path to success in this field. His advice on finding a partner, scoping out appropriate projects, and finding the tools you need will set you off on the right path to a successful journey in any career related to AI. Learn through lectures by the world’s GREAT MINDS. Watch your insights grow and your universe expand. https://www.thegreatminds.com/speaker/291 #GREATMINDS #AndrewNg #AI #LandingAI #deeplearning #artificialintelligence #ai #machinelearning #technology #deeplearning #programming #robotics #coding #computerscience #engineering #robot #software #automation #developer #googlebrainproject #baidu #coursera
** Machine Learning Training with Python: https://www.edureka.co/data-science-python-certification-course ** This Linear Regression Algorithm video is designed in a way that you learn about the algorithm in depth. This video is designed in a way that in the first part you will learn about the algorithm from scratch with its mathematical implementation, then you will drill down to the coding part and implement linear regression using python. Below are the topics covered in this tutorial: 1. What is Regression? 2. Regression Use-case 3. Types of Regression – Linear vs Logistic Regression 4. What is Linear Regression? 5. Finding best-fit regression line using Least Square Method 6. Checking goodness of fit using R squared Method 7. Implementation of Linear Regression Algorithm using Python (from scratch) 8. Implementation of Linear Regression Algorithm using Python (scikit lib) Check out our playlist for more videos: http://bit.ly/2taym8X PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-graduate/machine-learning-and-ai Post Graduate Certification in Data Science with IIT Guwahati – https://www.edureka.co/post-graduate/data-science-program (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) Subscribe to our channel to get video updates. Hit the subscribe button above. #LinearRegressionAlgorithm #LinearRegressionAlgorithmUsingPython #LeastSquareMethod #RsquareMethod How it Works? 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 [More]
This video on Top 10 Technologies to learn in 2022 brings to you the trending technologies in 2022 that you should watch out for. With time, new technologies are evolving, technologies that help address global challenges and those that will make life simpler in the coming years. Let’s get started and have a look at the top technologies of the future! 🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=Top10Technologies2022&utm_medium=Description&utm_source=youtube Watch more trending videos: ⏩Top 10 Highest Paying jobs 2022: https://www.youtube.com/watch?v=tq9RojpSwuk ⏩Top 10 Programming Languages to Learn in 2022: https://www.youtube.com/watch?v=Tck7MFXRQZg ⏩ Top 10 2022 Trending Topics: https://www.youtube.com/playlist?list=PLEiEAq2VkUULDtA3a8qXPzm0ofucBgC_B ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH #Top10Technologies2022 #TrendingTechnology2022 #GoogleTrends #YoutubeExplore #Simplilearn #ArtificialIntelligence #Blockchain #CloudComputing #5G #IOT #AI #RPA #CyberSecurity 00:46 ✅10. Robotics – Robotics is a significant industry that is gaining momentum with time. Some of the core robotics skills you need to possess are Python, Matlab, problem-solving, mathematics, and machine learning. 01:44 ✅9. Augmented Reality and Virtual Reality – Augmented reality blends real-world elements with virtual ones whereas Virtual reality creates an environment that is fully virtual. Some of the must-have skills for AR and VR are 3D modeling, Software development, and programming. 02:34 ✅8. Big Data and Analytics – Big Data and Analytics allow you to store, process, analyze and make sense of vast amounts of data using cutting-edge technologies. Some of the skills required to master big data & analytics are Hadoop, SQL, Spark, Python, and Excel. 03:32 ✅7. Quantum Computing – Quantum [More]
Python Machine Learning Tutorial – Learn how to predict the kind of music people like. 👍 Subscribe for more Python tutorials like this: https://goo.gl/6PYaGF 👉 The CSV file used in this tutorial: https://bit.ly/3muqqta 🚀 Learn Python in one hour: https://youtu.be/kqtD5dpn9C8 🚀 Python (Full Course): https://www.youtube.com/watch?v=_uQrJ0TkZlc Want to learn more from me? Courses: https://codewithmosh.com Twitter: https://twitter.com/moshhamedani Facebook: https://www.facebook.com/programmingwithmosh/ Blog: http://programmingwithmosh.com #Python, #MachineLearning, #Jupyter TABLE OF CONTENT 0:00:00 Introduction 0:00:59 What is Machine Learning? 0:02:58 Machine Learning in Action 0:05:45 Libraries and Tools 0:10:40 Importing a Data Set 0:17:01 Jupyter Shortcuts 0:22:53 A Real Machine Learning Problem 0:26:09 Preparing the Data 0:29:15 Learning and Predicting 0:33:20 Calculating the Accuracy 0:39:41 Persisting Models 0:42:55 Visualizing a Decision Tree
WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a college student, a grad student and an expert. Still haven’t subscribed to WIRED on YouTube? ►► http://wrd.cm/15fP7B7 Listen to the Get WIRED podcast ►► https://link.chtbl.com/wired-ytc-desc Want more WIRED? Get the magazine ►► https://subscribe.wired.com/subscribe/splits/wired/WIR_YouTube?source=EDT_WIR_YouTube_0_Video_Description_ZZ Get more incredible stories on science and tech with our daily newsletter: https://wrd.cm/DailyYT Also, check out the free WIRED channel on Roku, Apple TV, Amazon Fire TV, and Android TV. Here you can find your favorite WIRED shows and new episodes of our latest hit series Tradecraft. ABOUT WIRED WIRED is where tomorrow is realized. Through thought-provoking stories and videos, WIRED explores the future of business, innovation, and culture. Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED
Story Of a LifeTime in a It Architects Short but eventful life Todays Short on Morals and Ethics the most important and impactful for end result.
Title: Reverse Engineering Human Morality Abstract: Human morality enables successful and repeated collaboration. We collaborate with others to accomplish together what none of us can do on our own, share the benefits fairly, and trust others to do the same. Even young children play together guided by normative principles that are unparalleled in other animal species. I seek to understand this everyday morality in engineering terms. How do humans flexibly learn and use moral knowledge? How can we apply these principles to build moral and fair machines? I present an account of human moral learning and judgment based on inverse planning and Bayesian inference. Our computational framework explains quantitatively how people learn abstract moral theories from sparse examples, share resources fairly, and judge others actions as right or wrong. Bio: Dr. Max Kleiman-Weiner is a post-doctoral fellow at the Data Science Institute and Center for Research on Computation and Society (CRCS) within the computer science and psychology departments at Harvard. He did his PhD in Computational Cognitive Science at MIT advised by Josh Tenenbaum where he was a NSF and Hertz Foundation Fellow. His thesis won the 2019 Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science. He also won best paper at RLDM 2017 for models of human cooperation and the William James Award at SPP for computational work on moral learning. Max serves as Chief Scientist of Diffeo a startup building collaborative machine intelligence. Previously, he was a Fulbright Fellow in Beijing, earned an MSc in [More]
This is an interview with Joscha Bach conducted by our member Jusus Spott for HyperNorm – a systematic, cinematic, cybernetic film series in the Filmwerkstatt Düsseldorf. Joscha Bach is a cognitive scientist and AI researcher working as a Principal AI Engineer at Intel Labs. He was previously a VP of Research for AI Foundation, and a Research Scientist at both the MIT Media Lab as well as the Harvard Program for Evolutionary Dynamics. Joscha earned his Ph.D. in cognitive science and has built computational models of motivated decision making, perception, categorization, and concept-formation. More Content: ▸ Homepage: https://www.designing-history.world/ ▸ Facebook: https://www.facebook.com/ADHistoire ▸ Instagram: https://www.instagram.com/designinghistory/ ▸ Twitter: https://twitter.com/adh_global
Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=rIpUf-Vy2JA Please support this podcast by checking out our sponsors: – Coinbase: https://coinbase.com/lex to get $5 in free Bitcoin – Codecademy: https://codecademy.com and use code LEX to get 15% off – Linode: https://linode.com/lex to get $100 free credit – NetSuite: http://netsuite.com/lex to get free product tour – ExpressVPN: https://expressvpn.com/lexpod and use code LexPod to get 3 months free GUEST BIO: Joscha Bach is a cognitive scientist, AI researcher, and philosopher. PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 SOCIAL: – Twitter: https://twitter.com/lexfridman – LinkedIn: https://www.linkedin.com/in/lexfridman – Facebook: https://www.facebook.com/lexfridman – Instagram: https://www.instagram.com/lexfridman – Medium: https://medium.com/@lexfridman – Reddit: https://reddit.com/r/lexfridman – Support on Patreon: https://www.patreon.com/lexfridman