This tutorial was recorded at KDD 2020 as a live, hands-on tutorial. The content is available at https://dssg.github.io/fairness_tutorial/
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
In a profound talk about technology and power, author and historian Yuval Noah Harari explains the important difference between fascism and nationalism — and what the consolidation of our data means for the future of democracy. Appearing as a hologram live from Tel Aviv, Harari warns that the greatest danger that now faces liberal democracy is that the revolution in information technology will make dictatorships more efficient and capable of control. “The enemies of liberal democracy hack our feelings of fear and hate and vanity, and then use these feelings to polarize and destroy,” Harari says. “It is the responsibility of all of us to get to know our weaknesses and make sure they don’t become weapons.” (Followed by a brief conversation with TED curator Chris Anderson)
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Researchers and leaders from academia, hospitals, government and industry gathered for two days at the 2019 Big Data in Precision Health conference at Stanford Medicine to spark collaborations, address challenges, and identify actionable steps for using large-scale data analysis and technology to improve human health.
Jeff Dean, PhD, of Google gave a keynote talk.
For more information, visit https://bigdata.stanford.edu/
AI With The Best hosted 50+ speakers and hundreds of attendees from all over the world on a single platform on October 14-15, 2017. The platform held live talks, Insights/Questions pages, and bookings for 1-on-1s with speakers.
We will discuss multiple ways in which healthcare data is acquired and machine learning methods are currently being introduced into clinical settings. This will include: 1) Modeling disease trends and other predictions, including joint predictions of multiple conditions, from electronic health record (EHR) data using Gaussian processes. 2) Predicting surgical complications and transfer learning methods for combining databases 3) Using mobile apps and integrated sensors for improving the granularity of recorded health data for chronic conditions and 4) The combination of mobile app and social network information in order to predict the spread of contagious disease. Current work in these areas will be presented and the future of machine learning contributions to the field will be discussed.
Katherine Heller, Duke University
Computational Challenges in Machine Learning
Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
Talk by Ekaterina Kochmar, University of Cambridge, at the Cambridge Coding Academy Data Science Bootcamp: https://cambridgecoding.com/datascience-bootcamp
Dr. Joanna Bryson is professor at Hertie School in Berlin. She works on Artificial Intelligence, ethics and collaborative cognition. She will join us at this edition of the London Ethics Meetup to share her insights on AI, Data & Ethics in 2020.
Prof. Joanna Bryson’s current research includes accountability for and transparency in AI; understanding cultural variation in and technological impact on human cooperation, including economic and political behaviour; national and transnational governance of digital technology, the political economy of information communication technology (ICT).
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 Narrow Intelligence’. Under this form of intelligence, computer systems do not have full autonomy and consciousness like human beings. Rather, they are only able to perform tasks that they are trained for. For example, an AlphaGo may be able to defeat the world’s No. 1 Go champion, but he will not know that it is playing the game of AlphaGo. That is, it does not have a conscious mind.
Let us know more about AI and Data Science in detail:
Artificial Intelligence In the present, is mind-boggling and viable however no place close to human knowledge. People utilize the information exhibit around them and the information gathered in the past to make sense of everything without exception. In any case, AIs don’t have that capacity right now. AIs simply immense information dumps to clear their goals. This implies AIs require a colossal pool of information to accomplish something as straightforward as altering letters. Colloquially, the expression “man-made brainpower” is connected when a machine emulates “psychological” capacities that people connect with other human personalities for example “learning” and “critical thinking”
The extent of AI is debated: as machines turn out to be progressively proficient, assignments considered as requiring “insight” are regularly expelled from the definition, a wonder known as the AI impact, prompting the jest “AI is whatever hasn’t been done yet.
For example, optical character acknowledgment is habitually avoided by “man-made brainpower”, has turned into a routine technology. Capabilities by and large delegated AI starting in 2017 incorporate effectively understanding human speech, contending with an abnormal state in vital diversion frameworks, complex information, including pictures and recordings. Various models such as Bernoulli Model, naive Bayes model, etc.
Data Science is an interdisciplinary field of procedures and frameworks to extract learning or bits of knowledge from information in different structures. This implies information science enables AIs to make sense of answers to issues by connecting comparative information for some time later.
In a general sense, information science takes into consideration AIs to discover proper and significant data from those colossal pools speedier and all the more productively.
A case of this is Facebook’s facial acknowledgment framework which, after some time, accumulates a great deal of information about existing clients and applies similar methods for facial acknowledgment with new clients. Another illustration is Google’s self-driving autos which accumulate information from its surroundings progressively and forms those data to settle on smart choices out and about.
Data Science is an “idea to bring together measurements, information investigation, and their related strategies” so as to “comprehend and dissect real wonders” with data. It utilizes systems and speculations drawn from numerous fields inside the expansive regions of arithmetic, insights, data science, and software engineering, specifically from the subdomains of machine learning, characterization, group examination, vulnerability evaluation, computational science, information mining, databases, and representation.
#Data_Science, #Artificial_Intelligence, #PandeyGuruji
Title: Data visualization and artificial intelligence: The real time exploration of unstructured big data
Abstract: In this talk we explore the limits of data visualization and why we need to use more and more technology from the world of artificial intelligence. Martino shows us some of the innovations in this field. During the presentation the audience can play with three different DataViz: 1) the exploration of news in real-time; 2) the exploration of a large dataset of videos; 3) the analysis of relationships between entities and topics in a specific corpus of data.
Recorded on Mar 24 2016 at GCP NEXT 2016 in San Francisco.
Visual effects rendering is a computationally intensive process where one second of screen-time can require thousands of cores and terabytes of frame data. Learn how Academy Award-winning and recognized studios take advantage of cloud economics and Google’s on-demand computing to realize their creative visions and expand this digital medium for storytelling.
Speakers: Julia Ferraioli, Google & David Zuckerman, Wix
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While many celebrated efforts in Artificial Intelligence aim at exceeding human performance, the real promise of AI in real-world domains, such as healthcare and law, hinges on developing systems that can successfully support human experts. In this talk, I’ll share several directions of research we are pursuing towards effective human-AI partnership in the open world, including combining the complementary strengths of human and machine reasoning, addressing concerns around trust, transparency and reliability, and using AI to improve human engagement.
Ece Kamar is a senior researcher at the Adaptive Systems and Interaction Group at Microsoft Research. She earned her PhD in computer science from Harvard University where she was advised by Prof. Barbara Grosz. Her research spans several subfields of AI, including planning, machine learning, multi-agent systems and human-computer teamwork, and is inspired by real-world applications that can benefit from the complementary abilities of people and AI. She is particularly interested in the impact of AI on society and developing AI systems that are reliable, unbiased, and trustworthy.
RAFAEL is a global leader in all aspects of the Cyberspace environment, New Space technologies, and Intelligence collection and processing. RAFAEL provides governments, law enforcement agencies, and security forces around the world with novel intelligence and cyber defense solutions ‒ overcoming cyber threats and delivering state-of-the-art protection for critical infrastructures and sensitive data. Based on the company’s in-depth expertise, RAFAEL was selected to head Israel’s national Cyber Emergency Response Team (CERT) as well as other national-level projects including protection of Israel’s Central Credit Register (CCR), the Dominican Republic’s Financial Security Operations Center (SOC), and the cyber defense solution for the G20 Summit in Argentina.
With unparalleled expertise in Artificial Intelligence (AI) ‒ based on today’s most sophisticated SIGINT, VISINT and Space-related advances ‒ RAFAEL leads the way in the area of AI for cognitive intelligence systems, enabling organizations and governments to achieve and maintain technological superiority, and assisting them with decision-making at the national level.
Documentary about Artificial Intelligence (AI), Big Data, Robots, Robotics, Machine Learning and any more digital economy topics: Forward Thinking – March of the Machines: The show asks how will the AI revolution change the world? Part one features Jeremy Kahn, Bloomberg Tech Reporter, Mike McDonough Global Chief Economist at Bloomberg Intelligence and Gideon Mann, Head of Data Science at Bloombeg, Part Two features Martin Ford, Author of Rise of the Robots. Part Three features how AI could soon be changing healthcare.
Forward Thinking: March of the Machines – Episode 1
Stars: Dafydd Rees, Alastair Bates
Genres: Documentary | News
The future is uncertain and full of challenges. How do we rescue our cities and tackle inequalities? How do we deal with an aging future and bridging the gender gap? It’s time for some forward thinking.
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⭐ 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
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🔥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
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Below topics are explained in this Data Science tutorial:
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
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#DataScience #WhatIsDataScience #DataScienceForBeginners #DataScientist #DataScienceTutorial #DataScienceWithPython #DataScienceWithR #DataScienceCourse #BusinessAnalytics #DataScience101 #MachineLearning
This Post Graduate Program in Data Analytics, in partnership with Purdue University and in collaboration with IBM, will make you an expert in data analytics. In this Data Analytics course, you’ll learn analytics tools and techniques, the languages of R and Python (with no prior programming experience required), how to create data visualizations with Tableau, and how to apply statistics and analytics in a business environment. Simplilearn’s PGP in Data Analytics will provide you with extensive expertise in the booming data analytics and data science fields.
1. Purdue Post Graduate Program Certification
2. Purdue Alumni Association Membership
3. Enrollment in Simplilearn’s JobAssist
4. Industry-recognized IBM certificates
5. 180+ hours of Blended Learning
6. 14+ hands-on projects on integrated labs
7. Capstone Project in 3 Domains
8. Masterclasses from Purdue faculty
1. Data analytics
2. Statistical analysis using Excel
3. Data analysis: Python & R
4. Data visualization: Tableau & PowerBI
5. Linear and logistic regression modules
6. Clustering using k-meansSupervised learning
Fast track your career in the data analytics field via a comprehensive curriculum covering the concepts of data analytics and statistics foundation, analyzing data using Python and R programming languages, interacting with databases using SQL, and visualizing the data using Tableau and powerBI.
Learn more at: https://www.simplilearn.com/post-graduate-data-analytics-certification-courses?utm_campaign=DataScience&utm_medium=Description&utm_source=youtube
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Robotics, Artificial Intelligence, internet of things, big data analytics, machine learning, distributed ledger and
blockchain technology are all disrupting the markets and businesses. The banking and finance sector itself could
be disrupted by new entrants and new technology – FinTechs.
FinTech companies are businesses that leverage on new technology to create new and better financial services for
both consumers and businesses. They are disrupting the way ordinary people manage and use money and these
fintech players can either be a threat or a partner with the traditional and established financial institutions.
To provide you with a holistic understanding of the impact emerging FinTechs will have on the future of financial
services, GIBS in partnership with Strate, brings you the Fintech Innovation Conference. (August 22, 2017)
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
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.
Anima Anandkumar (California Institute of Technology)
Simons Institute Open Lecture Series, Fall 2018
Fei-Fei Li, Stanford Artificial Intelligence Lab, Vision Lab
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
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Best Machine Learning book: https://amzn.to/2MilWH0 (Fundamentals Of Machine Learning for Predictive Data Analytics).
Machine Learning and Predictive Analytics. #MachineLearning
Intro to Predictive Analytics is the second video in this machine learning course. This video explains how machine learning algorithms are used in the field of data analytics to create models of reality.
This online course covers big data analytics stages using machine learning and predictive analytics. Big data and predictive analytics is one of the most popular applications of machine learning and is foundational to getting deeper insights from data. Starting off, this course will cover machine learning algorithms, supervised learning, data planning, data cleaning, data visualization, models, and more. This self paced series is perfect if you are pursuing an online computer science degree, online data science degree, online artificial intelligence degree, or if you just want to get more machine learning experience. Enjoy! Check out the entire series here: https://www.youtube.com/playlist?list=PL_c9BZzLwBRIPaKlO5huuWQdcM3iYqF2w&playnext=1
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Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
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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
** RPA Training – https://www.edureka.co/robotic-process-automation-training **
This Edureka video on “UiPath Web Automation” will help you know how to automate web using UiPath. Below are the topics covered in this UiPath Web Automation:
1. Data Extraction in UiPath
2. Recording in UiPath
3. Website Testing
4. Report Generation in UiPath
5. Application Transfer
6. Hands On – Web Scraping of Google Contacts
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How it Works?
1. This is a 4 Week Instructor led Online Course, 25 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 have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate!
– – – – – – – – – – – – – –
About the Course
Edureka’s RPA training makes you an expert in Robotic Process Automation. Robotic Process Automation is Automation of repetitive and rule-based tasks. In Edureka’s RPA online training, you will learn about the RPA concepts and will gain in-depth knowledge on UiPath tool using which you can automate the data extraction from the internet, login process, image recognition process and many more.
After completing the RPA Training, you will be able to:
1. Know about Robotic Process Automations and how it works
2. Know about the patterns and key considerations while designing a RPA solution
3. Know about the leading RPA tool i.e. UiPath
4. Gain practical knowledge on designing RPA solutions using both the tools
5. Perform Image and Text automation
6. Create RPA bots and perform data manipulation
7. Debug and handle the exceptions through the tool
– – – – – – – – – – – – – –
Why learn Robotic Process Automation?
Robotic Process Automation (RPA) is an automation technology for making smart software by applying intelligence to do high volume and repeatable tasks that are time-consuming. RPA is automating the tasks of wide variety of industries, hence reducing the time and increasing the output. Some of facts about RPA includes:
1. A 2016 report by McKinsey and Co. predicts that the robotic process automation market could be worth $6.7 trillion by 2025
2. A major global wine business, after implementing RPA, increased the order accuracy from 98% to 99.7% while costs reduced to Rs. 5.2 Crore
3. A global dairy company used RPA to automate the processing and validation of delivery claims, reduced goodwill write-offs by Rs. 464 Million
For more information, please write back to us at firstname.lastname@example.org or call us at IND: 9606058406 / US: 18338555775 (toll-free).
#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.
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In today’s digital age, “Data” is the new oil. There is a huge amount of data around us, and it’s expanding at an exponential rate. The challenge is that this big data set (Big Data) is noisy and heterogeneous. So, it’s very important to extract knowledge or insights from the data around us.
The field of data science explores the patterns within large data sets and aims to drive meaningful actionable decisions.
Data science is an umbrella term that encompasses data analytics, data mining, machine learning (ML), artificial intelligence (AI), and several other related disciplines.
In this video, learn about the top 5 countries to study data science, ML, AI & big data analytics abroad. Additionally, get to know the top universities, job prospects, and average salaries in those countries.
Top Universities for Masters (MS) in Data Science in USA
Top Masters in Data Science and Analytics Programs in Canada
Masters in Data Science, ML and Analytics in UK: Top Universities, Costs, Job Prospects, Salaries
MS Machine Learning / AI vs MS Data Science vs MS Business/Data Analytics – How to Choose the Right Program
Masters in Data Science and Analytics in Germany – Top Universities, Jobs & Salaries
Masters in Data Science and Business Analytics in France: Best Programs, Jobs & Salaries
Masters (MS) Business Analytics in Canada: Top Schools, Skills, Jobs and Salaries
Best Master’s (MS) in Analytics Programs in USA
For personalized career and study abroad guidance, please visit https://www.stoodnt.com/
You can also book a 1-on-1 counselling session at https://www.stoodnt.com/career-college-admission-counselling
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How big data starts to drive the world, and what kind of skills will you need to interpret it?
General Director of Alto Data Analytics, Jose Miguel Cansado, has developed his international career in IMB Watson and Alcatel-Lucent, including eight years in pacific Asia as Head of Multimedia and Mobile Communications. He is a telecommunication engineer and holds a master’s in marketing from INSEAD, as well as executive MBA from IE Business School.
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
Learn how our Artificial Intelligence software automates the analysis and interpretation of your data using ‘Articulate Analytics’ to communicate its meaning using Natural Language Generation (NLG).
From global leader of Watson for IBM global business services to enterprise artificial intelligence leader Noodle AI, Stephen Pratt has a fascinating story to share.
The tech industry is filled with buzzwords, and many techies hide behind jargon. But anything this going to transform businesses, then it needs to be in a language that everyone understands and not just the IT departments.
For example, I don’t think there is anyone that would argue that Artificial Intelligence is going to transform every industry but ask them what it is, and you will get many different answers. I recently came across a company called Noodle AI who were able to demystify AI and put it into a tagline that everyone can understand.
AI is not magic, its just math. And this is encapsulated what this technology is for me. Many over complicate AI, but when you strip it back its just math. Sure on a massive scale and only possible now because of the computing power at our disposal
Noodle.ai is the leading Enterprise Artificial Intelligence applications company. The breakthrough design of Noodle.ai is based on a set of interconnected learning algorithms across supply and demand planning. Founded in 2016, Noodle.ai is led by executives previously with the top firms in data science, artificial intelligence, machine learning, and management consulting.
Stephen Pratt is an instigator, agitator, and pioneer in creating world-class technology services organizations. He has spent his career building innovative ways to create value for the world’s most important organizations. Prior to Noodle, he was responsible for all Watson implementations worldwide for IBM Global Business Services. He also was the founder and CEO of Infosys Consulting, a Senior Partner at Deloitte Consulting, and a technology and strategy consultant at Booz, Allen & Hamilton.
He twice has been selected as one of the top 25 consultants in the world by Consulting Magazine. He has Bachelors and Masters degrees in Electrical Engineering from Northwestern University and The George Washington University focused on Satellite Communications. For fun, Steve plays competitive tennis, races sailboats, and formerly was a crazed rugby player. He enjoys playing acoustic guitar for his children (not ready for prime time)