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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!
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🔥Free Data Science with Python course:
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.

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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

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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.

Key features:
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

Skills covered:
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

Program details:
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.

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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 –

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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: (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:


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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

** RPA 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 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.

Related Blogs:

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

You can also book a 1-on-1 counselling session at

#DataScience #BigData #BusinessAnalytics #MachineLearning #ArtificialIntelligence

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

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 is the leading Enterprise Artificial Intelligence applications company. The breakthrough design of is based on a set of interconnected learning algorithms across supply and demand planning. Founded in 2016, 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)

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:

For downloadable versions of these lectures, please go to the following link:

This is an introduction to text analytics for advanced business users and IT professionals with limited programming expertise. The presentation will go through different areas of text analytics as well as provide some real work examples that help to make the subject matter a little more relatable. We will cover topics like search engine building, categorization (supervised and unsupervised), clustering, NLP, and social media analysis.

Bernard Traversat, Vice President of Software Development, Java SE Platform , Oracle

Java and the JVM are the leading big data runtime within the enterprise. The gigantic demands of new machine learning, AI, and big data workloads are pushing the limit of scale and performance beyond what current leading ML/AI platforms can scale to. Java and the JVM have historically been the runtime of choice for developers looking at massive scale, robustness, and performance. This session discusses several new innovations in the Java language and JVM to address new machine learning and AI workloads at scale (JIT compilation, data layout, data access, GC latency, off-heap management, native OS interactions, crypto support and startup) and presents upcoming improvements in the platform. It also covers the leading Java and JVM-based ML and AI libraries.

In June 2017, Amplify brought 42 of the world’s boldest thinkers to AMP offices in Melbourne, Sydney, and Auckland to explore ‘the edge of the possible’ across emerging global trends.

In this Amplify Talk, hear from Richard Socher (Salesforce – Chief Data Scientist) as he discusses the edge of customer experience through data and analytics.

Deep Learning has revolutionized several industries with its state of the art results in speech recognition, image classification and natural language understanding.

In this keynote, Socher introduces solutions for visual object classification in images, sentiment classification, automated question answering and marketing analysis, and how these processes can be used to enrich the customer experience.

Learn more about AWS Startups at – 
Yuaho Zheng, Director of Engineering at DataVisor, talks about building a fraud detection platform using AI and Big Data at the 2019 AWS Santa Clara Summit.

Some chronic conditions, such as the autoimmune disease scleroderma, are especially difficult to treat because patients exhibit highly variable symptoms, complications and treatment responses. The process of finding an effective treatment for an individual can be frustrating for doctors, and painful and expensive for patients.

With support from the National Science Foundation (NSF), computer scientist and professor Suchi Saria, with Dr. Fredrick Wigley and an interdisciplinary team of experts at Johns Hopkins University, is leading a groundbreaking effort using Big Data to ease some of that pain for scleroderma patients. The team’s research is in machine learning, a subfield of computer science and statistics that allows machines to learn from data. The team designs statistical algorithms that enable computers to analyze large volumes of medical records and identify subgroups of patients with similar patterns of disease progression.

In addition, the system learns the symptoms and treatments that are predictive of specific patterns of improvement or deterioration to help doctors pick the right set of treatments for an individual patient. Doctors can then map the course of treatment for new patients, based in part on what the computers reveal about what happened to other patients with similar symptoms.

Saria foresees data analysis similar to this helping clinicians treat other chronic diseases, such as lupus and rheumatoid arthritis.

Research in this episode was supported by NSF award #1418590, Smart and Connected Health (SCH)/Integrative Projects (INT): Collaborative Research: Modeling Disease Trajectories in Patients with Complex, Multiphenotypic Conditions.

NSF Grant URL:

Miles O’Brien, Science Nation Correspondent
Ann Kellan, Science Nation Producer

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What use is big data if you can’t find what you’re looking for?
Follow: @Linguamatics

In knowledge driven industries such as the life sciences and healthcare, finding the right information quickly from huge volumes of text is crucial in supporting the best business decisions.

However, around 80% of available information exists as unstructured text, and conventional keyword searches only retrieve documents, which still have to be read. This is very time consuming, unreliable, and, when important decisions rest on it, costly.

Linguamatics’ text mining solution, I2E, uses Natural Language Processing to identify and extract relevant knowledge at least 10 times faster than conventional search, often uncovering insights that would otherwise remain unknown.

I2E analyses the meaning of the text using powerful linguistic algorithms, enabling you to ask open questions, find the relevant facts and identify valuable connections.

Going beyond simple keywords, I2E can recognise concepts and the different ways the same thing can be expressed, increasing the
recall of relevant information.

I2E then presents high quality results as structured, actionable knowledge, enabling fast review and analysis, and providing
dramatically improved speed to insight.

Our market leading software is supported by highly qualified domain experts who work with our customers to ensure successful
project outcomes.

Text mining for beginners:

Get reliable, date-stamped data on individuals and companies to make quick, easy contact with sellers. Search our database of 55 million records and get results in less than a second. Finding new listings has never been easier.


Watch a practical example of how to sort data in an Excel file and iterate through all rows. Learn how UiPath operates with Excel and Data Tables:

– Excel application scope
– Opening a workbook – access modes
– Read and write range
– Output datatable

#RPA #AutomationFirst #UiPath #RoboticProcessAutomation

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Data Driven NYC is a monthly event covering Big Data and data-driven products and startups, hosted by Matt Turck, partner at FirstMark Capital.

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