Bias can creep into algorithms in several ways. AI systems learn to make decisions based on training data, which can include biased human decisions or reflect historical or social inequities, even if sensitive variables such as gender, race, or sexual orientation are removed. … Bias is all of our responsibility. In this video I explain three ways to deal with Bias in AI.
As humans, our bias perspectives are shaped by how we perceive our environments and experiences. AI perceives its experience in the form of data and this affects its bias. What are the different types of AI bias and how can we mitigate their effect. Dr. Seth Dobrin is here to show us how to manage the bias in AI? Seth Dobrin is the Chief Data Officer IBM Cloud and Cognitive Software. He is responsible for the transformation of the Cloud and Cognitive Software business operations using data and AI. Previously, he led the data science transformation of a Fortune 300 company, as well as the company’s Agile transformation and their shift to the cloud, and oversaw efforts to leverage the data science transformation to drive new business models to create new revenue streams. He is a founding member of the International Society of Chief Data Officers and has been a prolific panelist at the East and West Chief Data Officer Summits. Seth holds a Ph.D. in genetics from Arizona State University, where he focused on the application of statistical and molecular genetics toward the elucidation of the causes of neuropsychiatric disorder. Seth Dobrin is the Chief Data Officer IBM Cloud and Cognitive Software. He is responsible for the transformation of the Cloud and Cognitive Software business operations using data and AI. Previously, he led the data science transformation of a Fortune 300 company, as well as the company’s Agile transformation and their shift to the cloud, and oversaw efforts to [More]
In the world today, we’re seeing everything sped up including a shift to automation, which I believe will be combined with blockchain technology and artificial intelligence. I believe the next biggest trend will focus on automated technology using blockchain and AI. One of the biggest use cases will be in the supply chain. Learn about a few more areas that will eventually benefit from blockchain technology and Artificial Intelligence. Today, we are going to explain what’s happening in the world of blockchain when it comes to automation and artificial intelligence and why that’s an important trend to keep a watchful eye on. We’ll explore blockchain technology in healthcare, social media, data sharing, and more. Invest in yourself! Use my link and check out the first chapter of any course for FREE! https://bit.ly/3s28OGG ⭐ 1 Million Subscriber Giveaway! ⭐ As we approach 1 million subscribers on YouTube, we will be giving away 1 full Bitcoin, 5 Ethereum, & 4,000 Cardano to 10 lucky winners. Sign up for the contest here ➡️ https://gleam.io/g6BKF/bitboy-crypto-1-million-subscriber-bitcoin-giveaway 00:00 Intro 00:59 Blockchain and AI use cases 03:23 DataCamp 04:46 Fetch.ai 06:09 Blockchain in healthcare system Connect with Me & the BitSquad! Join the BitSquad ➡️ http://t.me/BitSquad Join the BitBoy Lab ➡️ http://discord.BitBoy.Live Join BitSquad Traders ➡️ http://t.me/BitSquadTraders Join Me on Twitter ➡️ https://twitter.com/Bitboy_Crypto Join Me on Instagram ➡️ https://www.instagram.com/bitboy_crypto Join Me on TikTok ➡️ https://www.tiktok.com/@BitBoyCrypto ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● Find deals on hardware wallets, trading indicators, exchanges & more. Find Crypto DEALS ➡️ https://bitboycrypto.com/deals ●▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬● All of our videos are [More]
Although people have known about the facial recognition technology for some time now, advances in deep learning and faster processing of big data has helped it develop more and more in a short time. The global facial recognition market is growing each and every year. It is being used in different industries such as security, retail, transportation, banking, and much more. Watch our video to learn how this biometric technology works. To get the latest science and technology news, subscribe to our newsletter “The Blueprint” at https://bit.ly/3BDdN5e Learn more at https://bit.ly/2ZUoEIx #engineering
This video contains a stepwise implementation of python code for object detection based on the OpenCV library. The following are the list of contents you will find inside the video. 1) basic understanding of object detection and image classification 2) installation of necessary libraries 2) line by line implementation for object detection using OpenCV a) Single Image b) Video.mp4 c) Live Webcam List of labels to download https://github.com/pjreddie/darknet/blob/master/data/coco.names Configuration file https://gist.github.com/dkurt/54a8e8b51beb3bd3f770b79e56927bd7
In this lesson, we will learn how to perform image classification using Convolutional Neural Network (CNN) in MATLAB. Convolutional Neural Network (CNN) is a powerful machine learning technique from the deep learning domain. A collection of diverge image is required to train CNNs. The larger the collection the richer the features that CNN learns. These features often outperform features such as HOG, LBP or SURF. Training a CNN with large collection of diverse images is not an easy task. However, there is an easy way. We can use pertained CNN to leverage the power of CNN. It saves a huge amount of time and effort when we use pretrained CNN as feature extractor. In this lesson, I used ‘ResNet-50’ as pretrained CNN and Caltech101 image dataset. Image classification using convolutional neural network is a very exciting topic. Once you will have learned how to classify images using CNN, you can do what ever you want. For example – you can train classifier to identify brain tumor, cancer cell and skin diseases. Object recognition is another excellent field where you can use the method shown in this lesson. Image classification using CNN in MATLAB is not a straightforward approach. However, the strategy used in this lecture has made it simple. Each function used here, the role and outcome of each line and explanation with example where needed have made this lesson the best lesson on image classification using convolutional neural network in MATLAB. After completing this lesson, you will learn: 1. [More]
Welcome to this new video series in which we will be using Natural Language Processing or it’s called NLP in short. to analyse emotions and sentiments of given text. After completing this videos series – 1) You will be able to analyse different emotions present in an essay like sadness, happiness, jealousy etc 2) You will be able to find out the dominant emotion in the text 3) You will be able to plot those emotions on a graph 4) And you will also be able to tell whether the whole text is a positive or negative emotion 5) And finally you will also be able scrap tweets with a hashtag and find out the public opinion on that hashtag. For example you can search for #donaldtrump and find out whether that emotion is associated with a positive or a negative sentiment. First we will be doing all the natural language processing and sentiment analysis on our own without the use of a library or a package. So that you guys properly understand the concepts of NLP and then we can go on to use NLTK library to shorten our work. Source Code – https://github.com/attreyabhatt/Sentiment-Analysis Next video – Installing Python and Pycharm https://youtu.be/Ul0ZgDoamco Full playlist – https://www.youtube.com/playlist?list=PLhTjy8cBISEoOtB5_nwykvB9wfEDscuEo Subscribe – https://www.youtube.com/channel/UCirPbvoHzD78Lnyll6YYUpg?sub_confirmation=1 Website – www.buildwithpython.com Instagram – http://instagram.com/buildwithpython #python #nltk #nlp
This six-part video series goes through an end-to-end Natural Language Processing (NLP) project in Python to compare stand up comedy routines. – Natural Language Processing (Part 1): Introduction to NLP & Data Science – Natural Language Processing (Part 2): Data Cleaning & Text Pre-Processing in Python – Natural Language Processing (Part 3): Exploratory Data Analysis & Word Clouds in Python – Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python – Natural Language Processing (Part 5): Topic Modeling with Latent Dirichlet Allocation in Python – Natural Language Processing (Part 6): Text Generation with Markov Chains in Python All of the supporting Python code can be found here: https://github.com/adashofdata/nlp-in-python-tutorial
🔥Edureka Python Training: https://www.edureka.co/python-programming-certification-training/ This Edureka video on ” Python NLTK ” will walk you through the best way to clean, analyze and categorize your text data. The following are covered in this Python NLTK Tutorial video: 00:00:00 Introduction 00:00:42 What is NLP? 00:03:15 What is NLTK? 00:25:42 Naive Bayes Algorithm & Sentiment Analysis Checkout Edureka’s Python Tutorial Playlist: https://goo.gl/WsBpKe Checkout Edureka’s Python Tutorial Blog Series: http://bit.ly/2sqmP4s 🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Edureka Community: https://bit.ly/EdurekaCommunity Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates SlideShare: https://www.slideshare.net/EdurekaIN Meetup: https://www.meetup.com/edureka/ #Edureka #PythonEdureka #PythonNLTK #NaturalLanguageToolKit #howtocodeinpython #pythonprojects #pythonprogramming #pythontutorial #PythonTraining ———————————————————————————————————————————– 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 be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate! – – – – – – – – – – – – – – – – – About the Course Edureka’s Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive, and Web Scraping through beautiful soup. During our Python [More]
🔥 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
Presented by: Keith Galli In the past year, massive developments have been made in the natural language processing field. Improvements in areas such as question answering, machine translation, and sentiment analysis have opened up doors to utilize NLP more effectively than ever before. In this tutorial we will perform a brief overview of the field of NLP and look at the Python libraries that allow us to utilize different techniques and models. We will start with simple, traditional approaches to NLP that will provide us baseline for our models. As we progress in the tutorial we will look at some more advanced concepts that can give quick boosts to model performance. We will end by introducing state-of-the-art language models and how we can incorporate them into applications that we build. Tutorial resources:https://github.com/keithgalli/pycon2020
Mathematics for machine learning will teach you all of the maths you need for machine learning. And it’s available for free! https://mml-book.github.io/ 3 Data Science Learning Platforms I would recommend 1. Data Quest – https://bit.ly/3hcLjbY (my favourite) 2 Data Camp – https://bit.ly/39erDk8 3 365 Data Science – https://bit.ly/3hbUHdd 2 Recommended Python Courses 1. Exploratory Data Analysis with Python and Pandas – https://bit.ly/2QXMpxJ 2. Complete Python Programmer Bootcamp – http://bit.ly/2OwUA09 Data Science Interview Preparation StrataScratch https://bit.ly/30ul0nX (These contain affiliate links, which means I receive a percentage of any sales made. There is no additional cost for anybody clicking on them) 👌 SUBSCRIBE to ME!👌 https://www.youtube.com/channel/UC68KSmHePPePCjW4v57VPQg?sub_confirmation=1 Tweets by GilesMcMullen
Discover how Speechmatics’ Autonomous Speech Recognition opens doors to all voices, making huge forward leaps in terms of diversity, equity, and inclusion.
Meet the Google team who helped create Live Transcribe, a mobile app that generates speech-to-text captions in real time, in over 80 languages. Technological innovations like this have the potential to make communication accessible not only to the deaf and hard of hearing community but also to those who are unable to hear noises temporarily, such as when someone is wearing headphones. Audio-described version of this film: https://youtu.be/yOKm2qmsVrg Learn more about this Google innovation story: https://attn.link/3CacnPY Subscribe to ATTN: on YouTube: http://attn.link/2kkjQIP – ATTN: is a media company that breaks down important societal topics and conversations into digestible, entertaining videos and series across all platforms. Check out more videos worth your ATTN: and subscribe to our channels below: Facebook: https://www.facebook.com/attn/ Instagram: https://www.instagram.com/attndotcom/ Twitter: https://www.twitter.com/attn
The energy industry does not have what is necessary to accelerate the development of technology and processes to deliver significant impacts in the way oil and gas is produced. Therefore we must create a new way of doing business, a new way of interacting and a new way of sharing. Nav Dhunay, CEO of Imaginea Ai’s presents his thoughts on what is needed to accelerate technology within the oil & gas industry.
Innovation is a word mentioned in almost every conversation about traditional, and modern businesses. True innovation comes from invention Futurist Speaker Nikolas Badminton will look at what true innovation is, highlight the exponential eight technologies that will change the world, and highlight some ‘signals of change’ across industries where Engineers and Geoscientists have a big impact. See more of Nikolas’ insights at www.nikolasbadminton.com
Salesforce Einstein delivers more than one billion predictions every day, helping companies gain new insight into their business and customers. Join us as we discuss how Salesforce admins and developers use Einstein to build smart, customized, AI-powered apps and experiences with clicks or code. #Salesforce #SalesforceEinstein Learn more: https://www.salesforce.com/products/einstein/faq/ Watch more and learn more on Salesforce+: https://www.salesforce.com/plus Subscribe to Salesforce: http://bit.ly/SalesforceSubscribe Learn more about Salesforce: Website: https://www.salesforce.com Facebook: https://www.facebook.com/salesforce Twitter: https://www.twitter.com/salesforce Instagram: https://www.instagram.com/salesforce LinkedIn: https://www.linkedin.com/company/salesforce About Salesforce: Salesforce is a customer relationship management solution that brings companies and customers together. It’s one integrated CRM platform that gives all your departments — including marketing, sales, commerce, and service — a single, shared view of every customer.
Swami Sivasubramanian, VP Machine Learning, Amazon Web Services delivers the database, analytics, and machine learning keynote at re:Invent. Hear an exploration of what it takes to put data in action with an end to end data strategy. Including the launch of Amazon DevOps Guru for RDS, Amazon DynamoDB Standard-Infrequent Access table class, AWS DMS Fleet Advisor, Amazon SageMaker Ground Truth Plus, Amazon SageMaker Studio Notebook, Amazon Kendra Experience Builder, Amazon Lex Automated Chatbot Designer, Amazon SageMaker Studio Lab, and AWS AI and ML Scholarship Program. Guest speakers include Jack Berkowitz, ADP and Chris Urmson, Aurora with demos and deep dives from AWS speakers including Allie Miller and Neeraja Rentachintala. Learn more about AWS at – https://go.aws/3ItZULE. Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #AWS #AmazonWebServices #CloudComputing
Ahmad-Reza Sadeghi, Computer Science, Technische Universität Darmstadt and Head of System Security Lab Claudia Diaz, Associate Professor, Computer Security and Industrial Cryptography group, KU Leuven Mark Girolami, Statistics, Imperial College London and Programme Director of The Alan Turing Institute-Lloyd’s Register Foundation Programme in Data-Centric Engineering Moderator: David Sands, Chalmers University of Technology Chalmers Initiative Seminar: Digitalisation – Security & Privacy | Machine Intelligence Thursday 15 March 2018 The initiative seminar is a non-commercial arrangements by Chalmers University of Technology, Area of Advance Information and Communication Technology.
One important topic for the field of machine learning is fairness in AI, which has become a table-stake for ML platforms and services, driven by customer / business needs, regulatory / legal requirements and societal expectations. Researchers have been actively studying how to address disparate treatment caused by bias in the data and the resulting amplification of such bias by ML models, and how to ensure that the learned model does not treat subgroups in the population unfairly. During NeurIPS 2020, five Amazon scientists working on these types of challenges gathered for a 45-minute virtual session to address the topic. Watch the recorded panel discussion here, where the scientists discuss how fairness applies to their areas of AI / ML research, the interesting studies and advancements happening in the space, and the collaborations they’re most excited to see occurring across the industry in an effort to advance fairness in AI. Learn more: https://www.amazon.science/videos-webinars/amazon-panel-to-host-virtual-event-on-fairness-in-ai Follow us: Twitter: https://twitter.com/AmazonScience Facebook: https://www.facebook.com/AmazonScience Instagram: https://www.instagram.com/AmazonScience LinkedIn: https://www.linkedin.com/showcase/AmazonScience Newsletter: https://www.amazon.science/newsletter
This is one of the most asked topics considering group discussion. Group Discussion – Impact of Technology on Jobs. Group Discussion (GD) is one of the elimination rounds in the interview process. Eight to ten participants share their ideas and perspectives on the given topic. Hence it is very important to use the right words and sentences to share your ideas confidently. Technological advancements like artificial intelligence and automation will have a major impact on the workforce TED Talk- https://www.youtube.com/watch?v=_U2YobRC8OY Video -https://www.youtube.com/watch?v=opdc8hQN0ew #jobs #technology #groupdiscussion #discussion #jobs #impact #jobs #job #jobsearch #hiring #recruitment #career #work #employment #careers #nowhiring #jobseekers #recruiting #business #jobsearching, jobseeker, resume, hr, jobopening, jobopportunity, jobvacancy, jobhunt, jobinterview, jobshiring, hiringnow, vacancy, covid, staffing, motivation, #interview #careergoals #jobseeking #newjob #vacancies #life #loker #technology #money #groupdiscussion #training #bestcareercounseling #discus #bestspokenenglishclasses #englishclasses #personalinterview #gd #interviewtips #learnenglish #communication #ielts #bodylanguage #interview #thegridiscoming #safejob #english #grid #interviewskillstraining #englishlearning #debate #grammar #englishmania All the Topics that I am covering their ideas could be used for GD topics of MBA , Group Discussion ,Latest GD Topics, GD Topics, Recent GD Topics, Current GD Topics, Group discussion topic, Essay, Debate, Speeches,Essay writing.MBA aspirants will enjoy the topic. The topic is also prepared for all MBA aspirants of the country. I have also considered the fact that students are overburdened with written exams and in such times they may not have time to prepare for GDs or personal interview. This channel sets up platform for students to amass knowledge for GD and personal Interview. I have covered [More]
(Eng) Artificial Intelligence: Friend or Foe? Recently, the “Luda” AI chatbot sparked a necessary debate about AI ethics as South Korea places a new emphasis on the technology. Alas, this is not an issue that is particular to South Korea. For instance, in 2016, Microsoft launched its chatbot “Tay,” and had to shut it down within hours when users were training to make offensive remarks against certain groups. With this issue on the table, leaders of AI ethics from global companies including Microsoft, Facebook, and IBM gathered at the Asian Leadership Conference(ALC) webinar session to share their insights about the impact of AI technology on human society. The webinar was live-streamed on March 24th, 2021 starring global leaders including Natasha Crampton who is the Cheif Responsible AI Officer at Microsoft, Noberto de Andrade who is the Global Policy Lead for Digital and AI Ethics at Facebook, and Francesca Rossi who works at IBM as an AI Ethics Global Leader. Professor Haksoo Ko, who teaches at Seoul National University and is also the President of Korean Association for A.I. and Law, also joined the webinar as a moderator. #MS #Facebook #IBM #AI #Webinar
COAST TO COAST AM – December 2021. Computer designer and author Martin Ford ( https://mfordfuture.com/ ) joined Ian Punnett to discuss the future of artificial intelligence. Ford shared his belief that AI will prove to be the most critical technology of our time, on par with electric power in terms of its importance in our lives. To learn more about featured guest speakers on this show please visit https://www.coasttocoastam.com/show/2021-12-10-show/ Produced and Owned by Premiere Networks Inc/iHeartMedia 2021 All Rights Reserved
Dave Rubin of The Rubin Report talks to Martin Ford (Author and Futurist) about about his thoughts on Universal Basic Income and the need for a new safety net, his view that poverty and income inequality will worsen around the world with the growth of AI and machine learning, what the future will look like in 10 years, and more. Watch Dave Rubin’s full interview with Martin Ford here: https://www.youtube.com/watch?v=zP9berDdpu0&list=PLEbhOtC9klbDzksGrbLATckXU5BkQrQP0&index=15&t=0s What is the future of tech? What effect is all the innovation coming out of silicon valley having on us? Is it inevitable that machine intelligence will eliminate a vast majority of our jobs? Is it even possible to know what future tech will look like? Watch these experts describe the cutting edge in new tech, but also what we can expect in the future and the effect it will have on you in this playlist: https://www.youtube.com/playlist?list=PLEbhOtC9klbDzksGrbLATckXU5BkQrQP0 To make sure you never miss a single Rubin Report video, click here to subscribe: https://www.youtube.com/channel/UCJdKr0Bgd_5saZYqLCa9mng?sub_confirmation=1 Looking for smart and honest conversations about current events, political news and the culture war? Want to increase your critical thinking by listening to different perspectives on a variety of topics? If so, then you’re in the right place because on The Rubin Report Dave Rubin engages the ideas of some of society’s most interesting thought leaders, authors, politicians and comedians. The Rubin Report is the largest talk show about free speech and big ideas on YouTube. Dave allows his guests to speak their minds and his [More]
A.G.I. Artificial General Intelligence – How to achieve it. Part 1 PART 2: https://youtu.be/jyLqiU9uD-Y PART 3: https://youtu.be/gLE5aEMIcH0