In our SERIES FINALE of Crash Course Computer Science we take a look towards the future! In the past 70 years electronic computing has fundamentally changed how we live our lives, and we believe it’s just getting started. From ubiquitous computing, artificial intelligence, and self-driving cars to brain computer interfaces, wearable computers, and maybe even the singularity there is so much amazing potential on the horizon. Of course there is also room for peril with the rise of artificial intelligence and more immediate displacement of much of the workforce through automation. It’s tough to predict how it will all shake out, but it’s our hope that this series has inspired you to take part in shaping that future. Thank you so much for watching. Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Want to know more about Carrie Anne? https://about.me/carrieannephilbin The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV Want to find Crash Course elsewhere on the internet? Facebook – https://www.facebook.com/YouTubeCrash… Twitter – http://www.twitter.com/TheCrashCourse Tumblr – http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Parkinson’s disease (PD) is a progressive disorder with a presymptomatic interval; that is, there is a period during which the pathologic process has begun, but motor signs required for the clinical diagnosis are absent. There is considerable interest in discovering markers to diagnose this preclinical stage. Current predictive marker development stems mainly from two principles; first, that pathologic processes occur in lower brainstem regions before substantia nigra involvement and second, that redundancy and compensatory responses cause symptoms to emerge only after advanced degeneration. Decreased olfaction has recently been demonstrated to predict PD in prospective pathologic studies, although the lead time may be relatively short and the positive predictive value and specificity are low. Screening patients for depression and personality changes, autonomic symptoms, subtle motor dysfunction on quantitative testing, sleepiness and insomnia are other potential simple markers. More invasive measures such as detailed autonomic testing, cardiac MIBG-scintigraphy, transcranial ultrasound, and dopaminergic functional imaging may be especially useful in those at high risk or for further defining risk in those identified through primary screening. Despite intriguing leads, direct testing of preclinical markers has been limited, mainly because there is no reliable way to identify preclinical disease. Idiopathic RBD is characterized by loss of normal atonia with REM sleep. Approximately 50% of affected individuals will develop PD or dementia within 10 years. Dataset Link: https://archive.ics.uci.edu/ml/datasets/parkinsons #machinelearning #artificialintelligence #ai #datascience #python #programming #technology #deeplearning #coding #bigdata #computerscience #tech #data #pythonprogramming #programmer #developer #dataanalytics #software #datascientist #javascript #iot #java #coder #ml #innovation #robotics #linux #analytics [More]
Great Learning cordially invites you to be a part of the online launch event of IIIT-Delhi’s Post Graduate Diploma in Computer Science and Artificial Intelligence. The program will be launched in the presence of IIIT Delhi and Great Learning dignitaries, who’ll be sharing their valuable insights on how this program focussed on emerging technologies will help shape our futures. The panelists include: 𝗜𝗜𝗜𝗧-𝗗𝗲𝗹𝗵𝗶 𝗙𝗮𝗰𝘂𝗹𝘁𝘆: ● Prof. Sanjit Krishnan Kaul – Professor, ECE Department, Program Coordinator, PG Diploma in Computer Science & AI, IIIT Delhi ● Prof. Saket Anand – Head, Infosys Center for Artificial Intelligence (CAI), IIIT-Delhi and Associate Professor (CSE, ECE), IIIT-Delhi ● Prof. Raghava Mutharaju – Associate Professor, CSE IIIT Delhi 𝗚𝗿𝗲𝗮𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗧𝗲𝗮𝗺: ● Harish Subramanian – Director, Academics & New Products, Great Learning ● Mohan Lakhamraju – Founder & CEO, Great Learning Key questions that will get answered: How would the program help candidates become future-ready and build rewarding careers? Who is this program for? What roles can participants aspire for? What are the key learning outcomes from the programs?” 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.
Wish to build your career in Data Science and Artificial Intelligence space? Here is a video with the best advice from subject matter experts. Listen to these data scientists share tips on how to crack a data science interview or an artificial intelligence interview along with advice on how to make a career transition into AI, Machine Learning and Data Science. You will also find tips on how to build an effective resume. 0:33 AI Career Advice from Swiggy Data Scientist 2:12 Data Science Career Advice from Youplus Data Scientist 3:35 Data Science Career Advice from Flipkart Data Scientist 4:38 DS and AI Career Advice from K-Mart Data Scientist 6:09 Data Science Career Advice from Walmart Labs Data Scientist Subscribe to our channel to get updates on the latest videos. Hit the subscribe button now! http://bit.ly/36DfiCy Who is data science for? http://bit.ly/33M0a2T What are the required skills for data science? http://bit.ly/2qnTFFY What does Machine Learning Engineer do? http://bit.ly/2Yeewry Who are we? Springboard is an online learning platform that helps you master in-demand skills through a personal 1:1 mentor-led model and a project-driven curriculum. Over the last 6+ years, we have served 10K+ learners in 100+ countries. We are now in India and are offering Career Track programs in Data Science, Data Analytics and AI/ML along with job guarantee. Apply here: http://bit.ly/34JJt9D For more information, please write to us at india@springboard.com or call us at +91 8098866488 or +91 7483024694 Follow Springboard: Facebook: https://www.facebook.com/springboardind/ LinkedIn: https://www.linkedin.com/company/spri Twitter: https://twitter.com/springboard_ind Medium: https://medium.com/@springboard_ind #DataScience [More]
Watch Rachel Thomas’s talk, “How to Learn Deep Learning (When You’re Not a Computer Science PhD)” from the free, live online Demystifying Data Science conference hosted by Metis on September 27, 2017. Rachel Thomas has a math Ph.D. from Duke and was selected by Forbes as one of “20 Incredible Women Advancing AI Research”. She is co-founder of fast.ai and a researcher-in-residence at the University of San Francisco Data Institute. Her background includes working as a quant in energy trading, a data scientist + backend engineer at Uber, and a full-stack software instructor at Hackbright.
👉 Download Our Free Data Science Career Guide:✅https://bit.ly/31XjqMw 👉 Sign up for Our Complete Data Science Training:✅https://bit.ly/3mqEBzW So, you want to become a data scientist? Great! Our free step by step guide will walk you through how to start a career in data science: https://bit.ly/31XjqMw ** Expand for some additional INFO and LINKS ** Data science consulting companies are a hot choice if you’re looking for a job in the field. They offer numerous development opportunities, access to the latest technologies, and provide data-based solutions for top-notch companies across the globe. Furthermore, on top of generous salaries, they seem to have tons of cool perks – from unlimited vacation days and free meals to hair salons and masseuses on site. This doesn’t make your choice any simpler, though. With so many industries and companies out there, it’s hard to keep track of who-offers-what-and-where. So, watch this video to find out which companies provide the best overall employee experience! Complete Data Science Online Training Program. Earn a data science degree at your own pace. Sign up here: https://bit.ly/3mqEBzW Follow us on YouTube: ✅https://www.youtube.com/c/365DataScience Connect with us on our social media platforms: ✅Website: http://bit.ly/2TNHi0B ✅Facebook: https://www.facebook.com/365datascience ✅Instagram: https://www.instagram.com/365datascience ✅Q&A Hub: https://365datascience.com/qa-hub/ ✅LinkedIn: https://www.linkedin.com/company/365datascience Prepare yourself for a career in data science with our comprehensive program: ✅https://bit.ly/3mqEBzW Get in touch about the training at: support@365datascience.com Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you! #data #science #companies #career #firms #scientist
Happy Passover wishing you the robots of the R&D Institute for Intelligent Robotic Systems CS Department, College of Management Academic Studies, ISRAEL. http://www.colman.ac.il. This institute was funded by the parents of the three IDF soldiers, in memory of their sons, Benny Avraham, Adi Avitan, and Omer Souad, kidnapped and murdered by Hezbollah in 2000. The Institute was inaugurated in June 2008, and is currently engaged in developing autonomous robotic systems to identify and handle suspicious objects as well as in developing autonomous robotic mapping, delivery and entertainment systems. Background music: Ma Nishtana. Lyrics from the Haggadah, traditional music. Performed by Tom Rahav and Matan Ariel. Musical Arrangement: Noam Zlatin. Recording: Esta Studios, February 2002. The use of the recording for this specific video is authorized by Matan Ariel & Friends (http://www.MatanArielAndFriends.com). מוזיקת רקע: מה נשתנה. מילים מן ההגדה, לחן מסורתי. ביצוע: תום רהב ומתן אריאל. עיבוד מוזיקלי, ניהול מוזיקלי ונגינה: נעם זלטין. הוקלט באולפני אסטה, פברואר 2002. השימוש בהקלטה בווידאו זה באישור מתן אריאל וחברים (http://www.MatanArielAndFriends.com).
A panel at the “Web We Want” festival, May 2015 at the Southbank Centre, London. The video was broadcast via Periscope – hence the quality, and is used by kind permission of the WebWeWant Festival, SouthBank Centre and organisers ANXS Collective
Today we’re going to talk about how computers understand speech and speak themselves. As computers play an increasing role in our daily lives there has been an growing demand for voice user interfaces, but speech is also terribly complicated. Vocabularies are diverse, sentence structures can often dictate the meaning of certain words, and computers also have to deal with accents, mispronunciations, and many common linguistic faux pas. The field of Natural Language Processing, or NLP, attempts to solve these problems, with a number of techniques we’ll discuss today. And even though our virtual assistants like Siri, Alexa, Google Home, Bixby, and Cortana have come a long way from the first speech processing and synthesis models, there is still much room for improvement. Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Want to know more about Carrie Anne? https://about.me/carrieannephilbin The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV Want to find Crash Course elsewhere on the internet? Facebook – https://www.facebook.com/YouTubeCrash… Twitter – http://www.twitter.com/TheCrashCourse Tumblr – http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Talk by Ekaterina Kochmar, University of Cambridge, at the Cambridge Coding Academy Data Science Bootcamp: https://cambridgecoding.com/datascience-bootcamp
Data Science and Artificial Intelligence, are the two most important technologies in the world today. While Data Science makes use of Artificial Intelligence in its operations, it does not completely represent AI. In this article, we will understand the concept of Data Science vs Artificial Intelligence. Furthermore, we will discuss how researchers around the world are shaping modern Artificial Intelligence. What is Data Science? Data Science is the current reigning technology that has conquered industries around the world. It has brought about a fourth industrial revolution in the world today. This a result of the contribution by the massive explosion in data and the growing need of the industries to rely on data to create better products. We have become a part of a data-driven society. Data has become a dire need for industries that need data to make careful decisions. What is Artificial Intelligence? Artificial Intelligence is the intelligence that is possessed by the machines. It is modeled after the natural intelligence that is possessed by animals and humans. Artificial Intelligence makes the use of algorithms to perform autonomous actions. These autonomous actions are similar to the ones performed in the past which were successful. How is Artificial Intelligence Different from Data Science? Let’s start exploring Data Science vs Artificial Intelligence through the below points – 1. Constraints of Contemporary AI Artificial Intelligence and Data Science can use interchangeably. But there are certain differences between the two fields. The contemporary AI used in the world today is the ‘Artificial [More]
April 9, 2018 http://csnetwork.eu/podcast/?name=2019-01-08_joscha_bach.mp3 https://web.archive.org/web/20210315214051/http://csnetwork.eu/podcast/download.php?filename=2019-01-08_joscha_bach.mp3
Technology is growing with each day and its growing speed is something we have never seen before. We didn’t know what smartphones were two decades ago but now, they’ve become almost a part of our bodies. A big majority of people have become daily users of social media platforms and similar sites which have been around for decades. Technology’s impact on our daily lives has been quick and powerful, but how do you think its impact on our professional lives will be? Engineers’ professional lives always involve technology, and the latest developments in the artificial intelligence area can change the engineering concepts radically. Robotics and engineering go hand in hand, and the future of AI has the potential to make human life easier and safer than ever before. According to Elon Musk, Tesla’s Autopilot feature can help in reducing highway accidents thanks to its intelligent engineering. Also, founders and CEOs of big technology corporations such as Bill Gates, Sundar Pichai, and Tim Cook have also stated the importance and potential of artificial intelligence for humankind. Artificial intelligence can help us find new solutions to our engineering problems and make our tasks easier to tackle. Technological developments have been quick and efficient for the past decades and it seems that this snowball effect has not reached its full potential yet. Artificial intelligence holds great opportunities for tomorrow’s engineers, and if you want to learn more about the subject, be sure to watch our video! Find out more information at https://bit.ly/3bSTzei #engineering
Statement by Anya Daneez Khan, age 10, on the occasion of the International Day of Women and Girls in Science (11 February). ——— February 11th marks the International Day of Women and Girls in Science. The theme for 2019 is “Investment in Women and Girls for Inclusive Green Growth,” and a two-day event began today (11 Feb) at UN Headquarters in New York, bringing together global experts and leaders to evaluate the economic and social impact of women’s participation in science-based sustainable development programmes. The event featured a high-level panel focusing on the public-sector financing of science for green growth, investment to attract and retain high calibre women in science, and financing to ensure gender equality in science. Anya Daneez Khan, a girl in the field of science, said “The reason we celebrate this Day is to make sure it becomes not a story about exceptional women but a norm that girls belong and succeed in science and technology.” The United Nations General Assembly in 2015 declared 11 February as the International Day of Women and Girls in Science in order to achieve full and equal access to and participation in science for women and girls, and further achieve their empowerment as well as gender equality.
For More information Please visit https://www.appliedaicourse.com #ArtificialIntelligence,#MachineLearning,#DeepLearning,#DataScience,#NLP,#AI,#ML
A panel of international experts on Artificial Intelligence (AI) techniques applied to Environmental Sciences, including government, academic and private sector, will discuss the role of AI on current applications, and will provide their perspectives on the challenges and potential applications of novel AI methods. The panel will discuss regression and classification-based approaches, as well as examples of supervised and unsupervised learning problems. Specific examples, best practices and lessons learned will be highlighted. Outcomes from the session will be used to provide a framework to facilitate the integration of Artificial Intelligence and Environmental Science research initiatives.
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I’ve been using Kite for a few months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=krishnaik&utm_content=description-only 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 Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06
🔥Free Data Science with Python course: https://www.simplilearn.com/getting-started-data-science-with-python-skillup?utm_campaign=Skillup-DataScience&utm_medium=DescriptionFirstFold&utm_source=youtube This What is Data Science Video will give you an idea of a life of Data Scientist. This Data Science for Beginners video will also explain the steps involved in the Data Science project, roles & salary offered to a Data Scientist. Data Science is basically dealing with unstructured and structured data. Data Science is a field that comprises of everything that is related to data cleansing, preparation, and data analysis. Start learning today’s most in-demand skills for FREE. Visit us at https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=DataScience&utm_medium=Description&utm_source=youtube 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. Below topics are explained in this Data Science tutorial: 0:00 Introduction 0:10 Life of a Data Scientist – Steps in Data Science project – Understanding the business problem – Data acquisition – Data preparation – Exploratory data analysis – Data modeling – Visualization and communication – Deploy & maintenance 3:11 Roles offered to a Data Scientist 3:53 Salary of a Data Scientist To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Download the Data Science career guide to explore and step into the exciting world of data, and follow the path towards your dream career: https://bit.ly/34ZGYRw Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #DataScience #WhatIsDataScience #DataScienceForBeginners #DataScientist #DataScienceTutorial #DataScienceWithPython #DataScienceWithR #DataScienceCourse #BusinessAnalytics #DataScience101 #MachineLearning This Post Graduate Program in Data Analytics, in partnership with Purdue [More]
Ever wondered how to take a photo from a galaxy which is millions of light-years away? Lean back and enjoy the beauty of our universe… #TXGroup #SDSC #ETHZ #EPFL #TXConference #TXConference2020 https://conf.tx.group/ https://tx.group/en/ https://datascience.ch/ https://www.linkedin.com/company/tx-group-ag/ https://www.linkedin.com/company/tx-markets/ https://www.instagram.com/we_are_tx.group/ TX | Conference is the yearly digital exchange conference focused on Marketing, Product and Technology within TX Group AG. This year the TX | Conference has transcended physical reality into the Metaverse! TX Group is a network of media and platforms offering information, orientation, entertainment and services to over 80 percent of the Swiss population every day.
Will AI Take Over the Jobs? | Jack Ma Speaks on AI Vs Machine Learning Vs Data Science This video is selected and uploaded by Acadgild to educate the people on Artificial Intelligence, Machine Learning, and Data Science. This video is not our property. The broader waves of Technology revolution like Artificial Intelligence and Machine Learning is sweeping the whole world. These are being heralded as the key to our civilization’s brightest future and tossed on technology’s over-reaching propeller heads. “Next 30 years will be Painful as the Machine Learning will take away your jobs if you are not creative and innovative enough”, says Jack Ma, Founder and Executive Chairman of Alibaba Group during an interview with CNBC pointing out data will be important to human life in the future by making machine to support the human beings instead of putting their jobs at stake. Big Data and Hadoop Certification Training – https://acadgild.com/big-data/big-data-development-training-certification?aff_id=6003&source=youtube&account=Dd5j7ccujew&campaign=youtube_channel&utm_source=youtube&utm_medium=jackma&utm_campaign=youtube_channel Data Science with Python, Deep Learning, and Tensor Flow – https://acadgild.com/big-data/deep-learning-course-training-certification?aff_id=6003&source=youtube&account=Dd5j7ccujew&campaign=youtube_channel&utm_source=youtube&utm_medium=jackma&utm_campaign=youtube_channel Check out the steamy conversation between Jack Ma and CNBC’s David Faber. #JackMa, #DavidFaber, #CNBC, #MachineLearning, #ArtificialIntelligence, #DataScientist, #BigDataandHadoop For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Data science combined with artificial intelligence is set to create change that this world has never seen. What can computers do and what will they be able to do in order to impact the world. Fred Blackburn tackles some of the country’s most critical issues–terrorist activities, drug interdiction, and even driverless vehicles. He leads the Justice, Homeland Security, and Transportation division of Booz Allen Hamilton, a top consulting firm based in Washington, D.C. Previously, he led both the analytics and predictive intelligence business areas for commercial, civil, defense, and security clients. He is an expert as using data and analytics to solve today’s complex problems. Before joining Booz Allen in 2008, Fred headed up the management consulting division at Northrop Grumman/TASC. As a director, he was responsible for acquisition management, decision analysis, cost and risk analysis, financial management, intelligence analysis, and change management. Recognized for his achievements, Fred was awarded two Director of Central Intelligence Meritorious Unit Citations for his contributions to the Future Imagery Architecture Joint Management Office and his support to the National Geospatial Intelligence Agency. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
#Freelancing #FreelanceDataScience #Upwork Want to get started with freelancing in machine learning but don’t know where to start? In my new series I’ll break it all down for you. What platform to use, how to write your profile, how to screen clients, how to apply to jobs, and how to deliver. Stay tuned for more episodes. Learn how to turn deep reinforcement learning papers into code: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-NOV-2020 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-NOV-2020 Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil
This is a special episode of the Bionic Bug Podcast streamed LIVE on YouTube on November 12 at 7:00PM EST. Join me for a riveting interview with Mr. Samuel Bennett to talk AI and Robotics. Mr. Bennett is currently a researcher at the Center for Naval Analyses and specializes in robotics and Russia. Mr. Bennett has over 15 years of program and project management experience with US government, Department of Defense and private sector. Currently conducting research on the Russian defense and security issues, as well as the emergence of unmanned warfare. Formerly an Assistant Research Fellow at the National Defense University, working on emerging and disruptive technology for the Department of Defense policy development and concept of operations.