Artificial intelligence and automated production tools are already impacting the way sports events are produced, but the technologies are still in the early stages and there is much to be learned. During a conversation at the 2018 SVG Summit, a pair of production pros share their thoughts on the technology and break down whether all AI systems created equal, how one can evaluate which AI system is the smartest for the task; and whether AI coupled with automated production can really tell the story as well as a human production team? The conversation featured Dennis Cleary, Director for ESPN Remote Production Operations and Steve Grigely, VP, Technical Operations at Fox Sports Regional Networks. It was moderated by Jason Cohen VP, Remote Technical Operations at CBS Sports and CBS Sports Network. This session is sponsored by Sony Electronics.
Looking for a career upgrade & a better salary? We can help, Choose from our no 1 ranked top programmes. 25k+ career transitions with 400 + top corporate companies. Exclusive for working professionals: https://glacad.me/3eO7rXR Get your free certificate of completion for the Analysis of Variance course, Register Now: https://glacad.me/32LaxJT In simple words, bias means how far you have come in predicting the desired value from your actual value. It is an approach that can ultimately make or break the model in favor or against your idea. A straightforward example can be: When we talk about the famous linear regression model, we quantify the relationship between X and Y variable as linear; on the contrary, in reality, the relationship might not be perfectly linear as we had read. Variance is the reverse of bias. It is called the variance when your model performs exceptionally well on the training dataset yet fails to live up to the same standards when running it on an entirely new dataset. In simple words, your model conveys to you that the predicted values are very scattered from the actual values. This concept is similar to the overfitting of the model on the dataset, also called the difference between the model fits when used on different datasets. 01:25 – Agenda 01:56 – Introduction 04:35 – Bias and Variance in Machine Learning 07:42 – Difference between Bias and Variance 08:15 – Bias vs Variance 13:14 – Bias Variance Trade-Off 18:03 – Bias and Variance In Machine Learning 18:34 [More]
We are excited to announce a TensorFlow-sponsored Kaggle challenge to locate and identify harmful crown-of-thorns starfish (COTS), as part of a broader partnership between the Commonwealth Scientific and Industrial Research Organization (CSIRO) and Google, to help protect coral reefs everywhere. Join the challenge today at https://goo.gle/reef Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow
🔥 Get the course material and session PDF Here: https://glacad.me/getpdf_sentimentanalysis 🔥 Great Learning brings you this live session on ‘Sentiment Analysis of Amazon Reviews’. Understanding the sentiment of the textual data is a very crucial component in data science. In this session, we will be using Natural Processing Techniques to understand the sentiment of some of the reviews posted on the amazon website Visit Great Learning Academy, to get access to 80+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3duVMLE Get the free Great Learning App for a seamless experience, enrol for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl About Great Learning: – Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. – For more interesting tutorials, don’t forget to subscribe to our channel: https://bit.ly/2s92TDX – Learn More at https://www.greatlearning.in/ For more updates on courses and tips follow us on: – Telegram: https://t.me/GreatLearningAcademy – Facebook: https://www.facebook.com/GreatLearningOfficial/ – LinkedIn: https://www.linkedin.com/company/great-learning/ – Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube #SentimentAnalysis #AmazonReviewAnalysis #NaturalLanguageProcessing #GreatLearning
🔥 Get the pdf of this course: https://bit.ly/getpdf_covidprediction 🔥 Great Learning brings you this live session on ‘Predicting COVID-19 With Machine Learning’.In this session, we will take a COVID-19 dataset and understand how the disease has spread across different countries. We will perform some data manipulation and data visualization operations on top of the dataset. We will also be implementing a linear regression algorithm to understand the number of active and recovered cases Visit Great Learning Academy, to get access to 80+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3duVMLE The data-set used is from ‘Our World in Data’. You can download the dataset from this link:https://github.com/owid/covid-19-data/tree/master/public/data Get the free Great Learning App for a seamless experience, enrol for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl About Great Learning: – Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. – For more interesting tutorials, don’t forget to subscribe to our channel: https://bit.ly/2s92TDX – Learn More at https://www.greatlearning.in/ For more updates [More]
🔥🔥 Visit Great Learning Academy to learn from any of our 200+ free courses and get your free certificate of completion, Register Now: https://glacad.me/FreeCourses_1000Hours 🔥🔥 Visit Great Learning Academy, to get access to 200+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3duVMLE Get the free Great Learning App for a seamless experience, enrol for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl About Great Learning: – Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. – For more interesting tutorials, don’t forget to subscribe to our channel: https://bit.ly/2s92TDX – Learn More at https://www.greatlearning.in/ For more updates on courses and tips follow us on: – Telegram: https://t.me/GreatLearningAcademy – Facebook: https://www.facebook.com/GreatLearningOfficial/ – LinkedIn: https://www.linkedin.com/company/great-learning/ – Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube
We are commemorating Unix’s anniversary with the Unix50 event, a two-day celebration that will reflect on Unix’s past and explore the future of computing. Speakers and panelists include many of the original team that built Unix and designed the C programming language, as well as luminaries in the fields of computing and robotics. The event will also feature a gallery of Unix artifacts, a coding challenge requiring students to program robots to navigate the industrial spaces of the future, and numerous other activities drawing on Unix’s rich and colorful history at Bell Labs. Unix 50 Overview: https://nokia.ly/2VMQra5 Unix 50 Schedule: https://nokia.ly/2M9DdkO Unix Blog by Peter Adams: https://nokia.ly/33meQWI
Today Bill Gates gave an interview to Bloomberg and among other things talked about Tesla CEO Elon Musk saying he built great electric cars with quality and compared him to Steve Jobs per reporter’s request. It was only three days ago that Elon Musk answering a Tweeter question about Bill Gate’s blog – in which he talked about electric cars without mentioning Tesla and suggested that Tesla Semi will not work (again without mentioning it by name) said, “He has no clue.” Now Bill Gates talked about Elon Musk and spoke more gracefully. It’s laudable and credible. “The fact that Elon Musk and others did a great electric car is a huge contribution to the climate change effort. He did it with quality. It’s still a little premium-priced, but he’s got that initial market, and that market’s going to grow, and other car companies, seeing his success, will come in. The question of what’s the profit per car and what’s the market share of Tesla, that’s for stock people. That’s not a climate change issue at all. The difficulty on the other areas is much higher. I’m not trivializing in any way the need to raise the market share of EVs, but on a relative basis, that’s far easier than the industrial economy, where our progress is very small. We are grossly underinvested in these hard areas,” Gates said to Erik Schatzker for Bloomberg Green. Bloomberg’s reporter also asked if Elon Musk is the new Steve Jobs. To that question, [More]
Natural language processing is a subfield of artificial intelligence (AI) concerned with the interactions between computers and human languages. It was formulated to build software that generates and comprehends natural languages so that a user can have natural conversations with the computer instead of through programming or artificial languages like Java or C. In this video, we will be learning all about Natural Language Processing (NLP), its various aspects and what the future holds for NLP. Stay tuned to learn more about NLP with Great Learning! #NaturalLanguageProcessing #ArtificialIntelligence #GreatLearning Read more on NLP: https://www.mygreatlearning.com/blog/natural-language-processing-tutorial/ About Great Learning: – Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. – Watch the video to know ”Why is there so much hype around ‘Artificial Intelligence’?” https://www.youtube.com/watch?v=VcxpB… – What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx… – Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Q… – Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_p… – For more interesting tutorials, don’t forget to Subscribe our channel: https://bit.ly/2s92TDX – Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: – Google Plus: https://plus.google.com/u/0/108438615… – [More]
Geordie Rose was one of the organizing members of the D-Wave project that created the first truly operational QUANTUM COMPUTER. You can view his 2014 presentation on D-Wave: Quantum Computing – Artificial Intelligence Is Here https://youtu.be/9hFbiQDsgkI Visit http://jesusfreakcomputergeek.com to find out more about the coming deluge of AI and Quantum computing YHVH bless you and keep you YHVH make His face to shine upon you and be gracious to you YHVH lift His countenance to you and give you peace The most important thing in this life – is to get prepared for the next life! — There is only one true way to ETERNAL LIFE. The scriptures say “that there is no other name under heaven, given unto men – by which we MUST BE SAVED” — That name is JESUS. Jesus christ of Nazareth – Yeshua hamashiach – Jesus messiah – the ONLY BEGOTTEN SON of GOD MOST HIGH. You MUST KNOW HIM – to have ever-lasting life. To know Him is not difficult – all you have to do is ask to know Him. Salvation through Jesus christ is the free gift of God – a gift gracefully given – by faith in Jesus alone. – It is freely given, not by your works – or any man’s works – or then we would be able to boast – “look what I DID…” — that’s not how grace and the free gift of God works. All you have to do is ASK — if you really want [More]
#ArtificialIntelligence | Visit https://greatlearningforlife.com and watch 100s of hours of similar high-quality FREE learning content on Machine Learning, AI, Data Science, Deep Learning and more. In this video, Prof. Bappaditya Mukhopadhyay explains four stages of analytics. In this video, you learn how different types of organizations, big or small, work with data. In general, each company has its unique way of working with the data, however, each company goes through four stages toward an ideal analytics destination. You will get to learn the four stages of Problem formulation Data Gathering, Data Analysis and Implementation. #MachineLearning #DataAnalytics #StagesOfAnalytics #GreatLearning About Great Learning: Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. Watch the video to know ”Why is there so much hype around ‘Artificial Intelligence’?” https://www.youtube.com/watch?v=VcxpBYAAnGM What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U Do you know what the three pillars of Data Science? Here explaining all about thepillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU For more interesting tutorials, don’t forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: Google Plus: https://plus.google.com/u/0/108438615307549697541 Facebook: https://www.facebook.com/GreatLearningOfficial/ LinkedIn: https://www.linkedin.com/company/great-learning/ – Follow [More]
Business Organizations have rolled out their process automation programmers with structured data and rule based processes. Now, the time has come to take the process automation to the next level. This is where Artificial Intelligence concepts come into picture to the content centric activities to bring in the intelligence piece to the automation. Business operations where there is semi-structured/unstructured content, need of human intelligence for decision making, AI concepts like Machine Learning, Natural Language Processing, Deep Learning and Computer vision skills are introduced to solve the problems. With the availability of the data, higher computing power and talented resources, business is all set to next leap and take automation to a higher-level altogether. Presented By: Bharadwaja Choudhury Design & Delivery Expert, Novartis Healthcare
Part 01 – Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, . Part 02 – Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, . The ASU Origins Project is a transdisciplinary initiative that nurtures research, energizes teaching, and builds partnerships, offering new possibilities for .
Part 02 – Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, . Part 01 – Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, . Elon Musk and other panellists talk AI and answer the question: “If we succeed in building human-level Artificial general intelligence (AGI), then what are the .
Einstein’s Legacy | An Origins Project by Lawrence Krauss P1. Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, or could it present a threat to the very basis of human civilization?. Join critically-acclaimed author and evolutionary biologist Richard Dawkins and world-renowned theoretical physicist and author Lawrence Krauss as they . Join critically-acclaimed author. The evening began with a lecture from Lawrence Krauss. Then we move into a dialogue between Lawrence Krauss & Matt Dillahunty. This event took place at the Danforth Music Hall in Toronto on.
This video highlights debates and discussions regarding the future impact of artificial intelligence! Source material can be found below… AI Learns the Art of Debate https://www.youtube.com/watch?v=UeF_N1r91RQ Debate on Artificial Intelligence with IBM CEO, Microsoft CEO and the head of MIT Media Lab https://www.youtube.com/watch?v=Fw79AXL-sys Avi Goldfarb & Ajay Agrawal: “Prediction Machines: The Simple Economics of AI” | Talks at Google https://www.youtube.com/watch?v=ByvPp5xGL1I Ethics of AI https://www.youtube.com/watch?v=FcI_IYHjZYg
Elon Musk, Stuart Russell, Ray Kurzweil, Demis Hassabis, Sam Harris, Nick Bostrom, David Chalmers, Bart Selman, and Jaan Tallinn discuss with Max Tegmark (moderator) what likely outcomes might be if we succeed in building human-level AGI, and also what we would like to happen. The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial. You can find an audio balanced version of this panel here: For more information on the BAI ‘17 Conference: AI Principles Beneficial AI 2017 A Principled AI Discussion in Asilomar
Einstein’s Legacy | An Origins Project by Lawrence Krauss P1. Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, or could it present a threat to the very basis of human civilization?. Join critically-acclaimed author and evolutionary biologist Richard Dawkins and world-renowned theoretical physicist and author Lawrence Krauss as they . Join critically-acclaimed author.
On Wednesday December 6th, two teams of UTS academics and industry partners gathered at UTS for the hotly anticipated “Humans, Data, AI & Ethics – Great Debate”. The rhetorical battle raised the provocative proposition that: “Humans have blown it: it’s time to turn the planet over to the machines” The debate was preceded by our daytime Conversation which featured engaging panel discussions and Lightning Talks from UTS academics and partners in government and industry. The debate took place in front of a large audience of colleagues and members of the public on the UTS Broadway campus. The Affirmative team (The Machines) argued that a productive relationship between humans and machines will help us to build a fairer, more efficient and more ecologically sustainable global society. Numerous examples of humanity’s gross dysfunction in governance and management were raised, from human-induced climate change to widening inequality and the recent election of unpredictable populist leaders. The team argued that finely (and ethically) tuned machines will help humans to solve these immense social and environmental challenges and maintain standards of equality, fairness and sustainability. The Negative team (The Humans) cautioned against the rapid adoption of these hypothetical “ethical machines”, raising concerns about existing human prejudices and biases being built into AI. The team envisaged a dystopian world in which machines deny the possibility of human creativity, error or “happy accidents”, which have lead to so many important moments of discovery throughout history. According to the Negative, there are also numerous social services which as [More]
Geordie Rose, Co-founder of D-Wave starts new AI company Kindred; compares AI tech to ‘Super intelligent Aliens’ & to Lovecraft’s great ‘old ones’! Listen to his speech!!! Technology is a conduit for the demonic world to mingle with the human world. The binary computers have limitations but with the arrival of Quantum Computers, these limitations are removed as Quantum computers use resources from other dimensions (demonic dimension) to work. With the creation of Quantum Computing, building an Artificial Intelligence (AI) has become easy. This AI is one day going to evolve into the Image of the Beast of Revelation 13 and would control the entire world through the Mark of the Beast system as the Image of the Beast, a sentient AI is demonically inspired to where it actually has demonic intelligence, more than just what man has programmed it with. Geordie Rose is literally building a bridge between our world and the 4th dimension, the realm where the demonic entities resides. H.P. Lovecraft was an occultist and Geordie Rose actually compares these ‘super-intelligent AIs’ to ‘aliens’ and Lovecraft’s ‘Old Ones’ which are both demons deceptively masquerading as aliens and gods. (“And he (False Prophet) had power to give life unto the image of the beast(Antichrist), that the image of the beast should both speak, and cause that as many as would not worship the image of the beast should be killed. And he (False Prophet) causeth all, both small and great, rich and poor, free and bond, to receive [More]
Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, or could it present a threat to the very basis of human civilization? The future of artificial intelligence is up for debate, and the Origins Project is bringing together a distinguished panel of experts, intellectuals and public figures to discuss who’s in control. Eric Horvitz, Jaan Tallinn, Kathleen Fisher and Subbarao Kambhampati join Origins Project director Lawrence Krauss. Recorded Saturday, February 25th, 2017 Eric Horvitz is managing director of Microsoft Research’s main Redmond Lab, an American computer scientist, and technical fellow at Microsoft. Horvitz received his PhD and MD degrees at Stanford University, and has continued his research and work in areas that span theoretical and practical challenges of machine learning and inference, human-computer interaction, artificial intelligence, and more. He is a fellow of numerous associations and academies, has received numerous awards, given both technical lectures and presentations for diverse audiences, and been featured in the New York Times and Technology Review. Jaan Tallinn is co-founder of Skype, Estonian programmer, investor and physicist. He is partner and co-founder of the development company Bluemoon, Board of Sponsors member of the Bulletin of the Atomic Scientists, and one of the founders of the Centre for the Study of Existential Risk and the Future of Life Institute. He strongly promotes the study of existential risk and artificial intelligence, and the long-term planning and mitigation of potential challenges. Kathleen Fisher is a professor in and the [More]
Part 01 – https://youtu.be/rZe-A2aDOgA Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, or could it present a threat to the very basis of human civilization? The future of artificial intelligence is up for debate, and the Origins Project is bringing together a distinguished panel of experts, intellectuals and public figures to discuss who’s in control. Eric Horvitz, Jaan Tallinn, Kathleen Fisher and Subbarao Kambhampati join Lawrence Krauss. Recorded Saturday, February 25th, 2017 Eric Horvitz is managing director of Microsoft Research’s main Redmond Lab, an American computer scientist, and technical fellow at Microsoft. Horvitz received his PhD and MD degrees at Stanford University, and has continued his research and work in areas that span theoretical and practical challenges of machine learning and inference, human-computer interaction, artificial intelligence, and more. He is a fellow of numerous associations and academies, has received numerous awards, given both technical lectures and presentations for diverse audiences, and been featured in the New York Times and Technology Review. Jaan Tallinn is co-founder of Skype, Estonian programmer, investor and physicist. He is partner and co-founder of the development company Bluemoon, Board of Sponsors member of the Bulletin of the Atomic Scientists, and one of the founders of the Centre for the Study of Existential Risk and the Future of Life Institute. He strongly promotes the study of existential risk and artificial intelligence, and the long-term planning and mitigation of potential challenges. Kathleen Fisher is a professor in and [More]
Part 02 – https://youtu.be/eXc5cWEkb4Y Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, or could it present a threat to the very basis of human civilization? The future of artificial intelligence is up for debate, and the Origins Project is bringing together a distinguished panel of experts, intellectuals and public figures to discuss who’s in control. Eric Horvitz, Jaan Tallinn, Kathleen Fisher and Subbarao Kambhampati join Lawrence Krauss. Recorded Saturday, February 25th, 2017 Eric Horvitz is managing director of Microsoft Research’s main Redmond Lab, an American computer scientist, and technical fellow at Microsoft. Horvitz received his PhD and MD degrees at Stanford University, and has continued his research and work in areas that span theoretical and practical challenges of machine learning and inference, human-computer interaction, artificial intelligence, and more. He is a fellow of numerous associations and academies, has received numerous awards, given both technical lectures and presentations for diverse audiences, and been featured in the New York Times and Technology Review. Jaan Tallinn is co-founder of Skype, Estonian programmer, investor and physicist. He is partner and co-founder of the development company Bluemoon, Board of Sponsors member of the Bulletin of the Atomic Scientists, and one of the founders of the Centre for the Study of Existential Risk and the Future of Life Institute. He strongly promotes the study of existential risk and artificial intelligence, and the long-term planning and mitigation of potential challenges. Kathleen Fisher is a professor in and [More]