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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#AI #robotics #robots

COPYRIGHT: All of the films published by us are legally licensed. We have acquired the rights (at least for specific territories) from the rightholders by contract. If you have questions please send an email to: info@amogo.de, Amogo Networx – The AVOD Channel Network, www.amogo-networx.com.

Dan Fagella talks to Jason Barnard and they provide you with a 5 minute definition Artificial Intelligence and Machine Learning.
If you want to understand, in simple terms, what all the fuss is about, watch this 5 minute explanation in the form of an intelligent and enjoyable conversation between Dan and Jason.

What are Artificial Intelligence and Machine Learning?
Artificial Intelligence is a technology where a computer aims to perform tasks that otherwise a human would need to do. What is considered to be Artificial Intelligence changes over time – what was considered to be AI in 1980, is no longer considered to be AI today (watch the video for Dan Faggella’s brilliant explanation).
Machine learning is a subset of AI where humans provide a computer with vast amounts of information and give it a task to perform. The machine automatically learns and improves its performance in completing the task from experience without being explicitly programmed, even finding new and better ways to complete to task that a human would not have thought of or predicted.

Read the transcript here https://kalicube.pro/faq/seo-glossary/explanation-of-artificial-intelligence-and-machine-learning/

SASTRA Day 4, Session 01 ATAL AICTE FDP on AI,ML u0026DL 2020 09 16 at 20 42 GMT 7
Workshop topics
– Introduction to Artificial Intelligence
– Introduction to Python
– Introduction to Internet of Things(IoT)
– Problem Formulations & Representations
– Uninformed and Informed Search Algorithms
– Knowledge Representation and different types of Knowledge Representation
– Ontology Engineering
– Fuzzy and Temporal Logic Systems
– Natural Language Processing
– Machine Learning and Deep Learning
– Reinforcement Learning
– Application and current trends of AI
– Sample Problems
– Case Studies & hands-on Coding using Python for the above topics
Full playlist: https://www.youtube.com/playlist?list=PL7Ld-_6sF_dqunfOyV4TuztyvbbhxZWJO

SASTRA Day 5, Session 01 ATAL AICTE FDP on AI,ML u0026DL 2020 09 17 at 20 35 GMT 7
Workshop topics
– Introduction to Artificial Intelligence
– Introduction to Python
– Introduction to Internet of Things(IoT)
– Problem Formulations & Representations
– Uninformed and Informed Search Algorithms
– Knowledge Representation and different types of Knowledge Representation
– Ontology Engineering
– Fuzzy and Temporal Logic Systems
– Natural Language Processing
– Machine Learning and Deep Learning
– Reinforcement Learning
– Application and current trends of AI
– Sample Problems
– Case Studies & hands-on Coding using Python for the above topics
Full playlist: https://www.youtube.com/playlist?list=PL7Ld-_6sF_dqunfOyV4TuztyvbbhxZWJO

SASTRA Day 4, Session 04 ATAL AICTE FDP on AI,ML u0026DL 2020 09 17 at 02 45 GMT 7
Workshop topics
– Introduction to Artificial Intelligence
– Introduction to Python
– Introduction to Internet of Things(IoT)
– Problem Formulations & Representations
– Uninformed and Informed Search Algorithms
– Knowledge Representation and different types of Knowledge Representation
– Ontology Engineering
– Fuzzy and Temporal Logic Systems
– Natural Language Processing
– Machine Learning and Deep Learning
– Reinforcement Learning
– Application and current trends of AI
– Sample Problems
– Case Studies & hands-on Coding using Python for the above topics
Full playlist: https://www.youtube.com/playlist?list=PL7Ld-_6sF_dqunfOyV4TuztyvbbhxZWJO

This is a short excerpt from my recent virtual keynote for LinkedIn Latam June 22, 2020, see https://www.youtube.com/watch?v=dB5vOk_-KEg and https://gerd.io/linkedinlatam (my blog) for more details and downloads

Gerd Leonhard Futurist, Author and Keynote Speaker
Zürich / Switzerland
http://www.futuristgerd.com
http://www.techvshuman.com (my latest book)

Audio-only versions of most videos are available via SoundCloud https://soundcloud.com/gleonhard/tracks,
and Spotify see https://gerd.fm/spotify

Many of my films, keynotes. presentations and slideshows can be downloaded via http://www.gerd.cloud

My key memes and messages can be browsed here: https://www.futuristgerd.com/media/what-gerd-says/

For booking inquiries please go here https://www.futuristgerd.com/contact/booking-inquiry/

If you enjoy my videos and talks, please take a look at my recent book “Technology vs Humanity” http://www.techvshuman.com or buy it via Amazon http://gerd.fm/globalTVHamazon – the book is available in 12 languages.

Twitter: @gleonhard

TuTiTu Preschool is a series for children making their first steps into numbers, letters, shapes and more. Each episode will teach your toddler one of the basic building blocks of knowledge using vivid colors, fun and engaging animation and exciting music!

FREE games – http://tutitu.tv/playground/
Facebook – https://www.facebook.com/TuTiTuTV
Pinterest – http://www.pinterest.com/tutitutv
Twitter – https://twitter.com/TuTiTuTV

In this episode: What’s fun, colorful and floats in the sky? It’s TuTiTu’s ABC balloons!

Production & Animation: Twist Animation Ltd.
Production Designers: Tal Gamliel, Yossi Dahan
TuTiTu’S Theme Song: Lyrics: Sarit Ido Schechter, Music: Sarit Ido Schechter and Tal Gamliel,
Musical Arrangement: Uri Kariv
Vocals: Yael Shoshana Cohen
Sound engineering: Gil Landau

Category: Preschool
Icon: Preschool
Package: 0_qn66478z

Artificial Intelligence (AI) seems to be everywhere today – with applications in almost all fields of modern science. From robotics and biology to chemical engineering and healthcare, applying AI positions most scientific fields for progress. What exactly is AI? Are we ready to take advantage of AI and understand its impact on science and society? A distinguished group of researchers and experts discussed in the ETH pavillion at WEF 2019 about conceptual opportunities, but also current practical and abstract limitations.

Date and Time
23 January 2019, 18:00-19:30h

Moderation
Chris Luebkeman (Arup Foresight)

Panelists
Eric Horvitz (Microsoft)
Marc Pollefeys (ETH Zurich/Microsoft)
André Loesekrug-Pietri (JEDI)
Sophie-Charlotte Fischer (ETH Zurich)

Swami Sivasubramanian, VP Machine Learning, Amazon Web Services delivers the first-ever Machine Learning Keynote at re:Invent. Hear how AWS is freeing builders to innovate on machine learning with the latest developments in AWS machine learning, demos of new technology, and insights from customers. Including the launch of Distributed Training on SageMaker, SageMaker Clarify, Deep Profiling for SageMaker Debugger, SageMaker Edge Manager, Amazon Redshift ML, Amazon Neptune ML, Amazon Lookout for Metrics, and Amazon HealthLake. Guest speakers include Jennifer Langton, NFL and Elad Benjamin, Philips with demos and deep dives from AWS speakers including Dr. Nashlie Sephus, Dorothy Li, and Dr. Matt Wood.

Launch Announcements:
00:00 Machine Learning Keynote
15:56 Distributed Training on SageMaker
36:16 SageMaker Clarify
43:16 Deep Profiling for SageMaker Debugger
53:29 SageMaker Edge Manager
1:01:58 Amazon Redshift ML
1:04:30 Amazon Neptune ML
1:15:44 Amazon Lookout for Metrics
1:36:40 Amazon HealthLake

Demos:
45:54 SageMaker
1:07:18 Quicksight Q
1:19:50 Industrial AI
1:36:40 Amazon HealthLake

Guest speakers include:
21:56 Jennifer Langton, NFL
1:41:40 Elad Benjamin, Philips

Subscribe:
More AWS videos http://bit.ly/2O3zS75
More AWS events videos http://bit.ly/316g9t4

#AWS

At our #FutureSeminar on Practical Machine Learning and AI, MicroSemi, a Microchip company, will be demonstrating the PolarFire board. This mid-range FPGA is the industry’s lowest power solution with exceptional security and reliability. We’ll use the Future Avalanche platform to demonstrate deep learning and highlight the benefits of FPGA for machine learning.

For locations and to sign up, click here: https://www.futureelectronics.com/resources/events/practical-machine-learning-and-ai-seminar?loc=2

In this video, Yufeng Guo applies deep learning models to local prediction on mobile devices. Yufeng shows you how to use TensorFlow to implement a machine learning model that is tailored to a custom dataset. You will come away knowing enough to get started solving your own deep learning problems.

Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k

Will AI Take Over the World – Delegates Speak on Artificial Intelligence & Machine Learning
https://acadgild.com/big-data/data-science-training-certification?aff_id=6003&source=youtube&account=xMVCkRgk7eU&campaign=youtube_channel&utm_source=youtube&utm_medium=delegates-speak-on-ai&utm_campaign=youtube_channel
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.

With the increasing technology revolution across the world, people have the disconcertion on their future and most of them have the following agitated questions towards AI and Machine Learning.

• Will AI Take Over the World
• Will AI Replace Humans
• Will AI End Humanity
• Will AI Replace Programmers
• Will AI Replace Doctors
• Will AI Rule the World
• Will AI Take Over Jobs

Go through the entire compilation to know the answers to all the above question by the world’s renown delegates as follows,
• Toby Walsh – Professor, AI. University of NSW Sydney.
• Sundar Pichai – CEO, Google
• Barack Obama – 44th President of USA
• Mary-Anne Williams – Professor, Social Robotics, University of Technology Sydney
• Jack Ma – Founder and Executive Chairman of Alibaba Group

For more updates on courses and tips follow us on:
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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:
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Using previous pattern outcomes to help us begin to predict future outcomes.

Welcome to the Machine Learning for Forex and Stock analysis and automated trading tutorial series. In this series, you will be taught how to apply machine learning and pattern recognition principles to the field of stocks and forex.

This is especially useful for people interested in quantitative analysis and algo or high frequency trading. Even if you are not, the series will still be of great use to anyone interested in learning about machine learning and automatic pattern recognition, through a hands-on tutorial series.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

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

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Support me! http://www.patreon.com/calebcurry

Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter

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🔥Edureka NIT Warangal Post Graduate Program on AI and Machine Learning: https://www.edureka.co/post-graduate/machine-learning-and-ai
This Edureka Tutorial on “Future Of AI/ML” talks about the future possibilities of artificial intelligence and Machine Learning and how we can get a job in AI/ML. Below are the topics covered in this tutorial:
What is AI/ML?
AI/ML Applications
Future Scope Of AI/ML
Key Skills Of AI/ML Specialist
How To Get A Job In AI/ML?

🔹Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

————Edureka Training and Certifications———–
🔵 Machine Learning Course using Python: http://bit.ly/37CWMcy
🟣 Machine Learning Engineer Masters Program: http://bit.ly/320TkHy
🔵 Deep Learning using TensorFlow: http://bit.ly/2P0M1dv
🟣 PG in Artificial Intelligence and Machine Learning with NIT Warangal: http://bit.ly/3d6aFEa
🔵 Post Graduate Certification in Data Science with IIT Guwahati: http://bit.ly/2Ubd6wB
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

Subscribe to our channel to get video updates. Hit the subscribe button above: 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

#edureka #AIedureka #MLedureka #FutureOfAIML #artificialIntelligence #machineLearning #PythonTutorial #PythonMachineLearning #PGP
– – – – – – – – – – – – – – – – –
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 Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
– – – – – – – – – – – – – – – – – – –
Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built-in debugger.

Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next “Big Thing” and a must for Professionals in the Data Analytics domain.

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).

#AI vs #ML vs #DL
This Lecture Explains The Differences Among Artificial Intelligence,Machine Learning & Deep Learning (AI vs ML vs DL) .
Next Part:https://youtu.be/TTTeKaFDzGI
Artificial Intelligence Play List: https://www.youtube.com/playlist?list=PLLANTs44t4TWOdscV03UVWgHdmfEIudKD

( Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training )
This video will provide you with detailed knowledge of who is a Machine Learning Engineer, what are the salary trends, the job trends and the correct format of an ML engineer’s resume. This video will also provide you with the job descriptions, roles and the skills required to become one successful ML Engineer.

————————–

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future:https://goo.gl/6ohpTV

Check out the entire Machine Learning Playlist: https://bit.ly/2NG9tK4

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-graduate/machine-learning-and-ai

Post Graduate Certification in Data Science with IIT Guwahati – https://www.edureka.co/post-graduate/data-science-program
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

#MachineLearningEngineer #MachineLearningEngineerSalary

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

————————————-

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master’s Program Covers Topics LIke:
Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods.

———————-

Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

————————————–

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

** Machine Learning Training with Python: https://www.edureka.co/data-science-python-certification-course **
This “Top 10 Applications of Machine Learning” video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.

Check out our playlist for more videos: http://bit.ly/2taym8X

Subscribe to our channel to get video updates. Hit the subscribe button above.
#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining

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 Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the ‘Roles’ played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

– – – – – – – – – – – – – – – – – – –

Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
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Buy Online : http://amzn.to/2meo4yq

For Purchase & more info call us at 9811691040, 7011761077.

ESSL X990 Biometric Time & Attendance Machine Unboxing & Installation.

SKCET – ATAL FDP on Artificial Intelligence, Machine Learning and Genomics – Session 10

[CHEY-CSIS Joint Conference] Geopolitical Risks and Scientific Innovation
Session 1: Artificial Intelligence and Machine Learning: Data-Driven Techniques and Software Intensive Technologies

사회자 Moderator
AHN Jung Ho (Professor, Seoul National University)

발표자 Speakers
Lindsey SHEPPARD (Fellow, CSIS)
Jason BROWN (Director of Chief of Staff, U.S. Air Force Strategic Studies Group)
KIM Yoon (Chief Technology Officer, SKT)
PARK Byung Jin (Vice President, Advanced Defense Technology Research Institute)

최종현학술원과 CSIS는 4차 산업혁명의 다양한 기술진보가 국제정치와 지정학 리스크에 미치는 영향을 조망하고자 최종현학술원-CSIS 컨퍼런스를 공동 주최했다. 이번 컨퍼런스는 과학혁신과 지정학 리스크에 대한 단편적인 분석을 뛰어넘어 인공지능, 머신러닝, 신소재, 무인체계, 사이버보안, 우주기술 분야에서의 혁신과 그것이 가져올 국제질서의 변화를 집중 분석했다.

On Jan. 30-31, 2020, the Chey Institute for Advanced Studies and CSIS co-hosted the conference titled “Geopolitical Risks and Scientific Innovation.” This conference invited renowned experts and scholars from Korea and the United States to discuss the impact of scientific innovation on geopolitical risks, especially in Northeast Asia. Issues included artificial intelligence and machine learning (AI/ML), advanced materials and their implications for supply chain, unmanned systems and robotics, cyber security and blockchain, and space technologies.

Recent advances in artificial intelligence and machine learning are changing the way doctors practice medicine. Can medical data actually improve health care? At this seminar, Harvard Medical School scientists and physicians will discuss how AI assists doctors in diagnosing disease, determining the best treatments and predicting better outcomes for their patients.

Like Harvard Medical School on Facebook: https://goo.gl/4dwXyZ
Follow on Twitter: https://goo.gl/GbrmQM
Follow on Instagram: https://goo.gl/s1w4up
Follow on LinkedIn: https://goo.gl/04vRgY

Website: https://hms.harvard.edu/

Ethics of AI Lab
Centre for Ethics, University of Toronto, March 20, 2018
http://ethics.utoronto.ca

Kathryn Hume
intergrate.ai

Subscribe to O’Reilly on YouTube: http://goo.gl/n3QSYi

Follow O’Reilly on:
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LinkedIn: https://www.linkedin.com/company-beta/8459/

Download Slides: https://www.datacouncil.ai/talks/bighead-airbnbs-end-to-end-machine-learning-platform?hsLang=en

WANT TO EXPERIENCE A TALK LIKE THIS LIVE?

Barcelona: https://www.datacouncil.ai/barcelona
New York City: https://www.datacouncil.ai/new-york-city
San Francisco: https://www.datacouncil.ai/san-francisco
Singapore: https://www.datacouncil.ai/singapore

ABOUT THE TALK

Airbnb has a wide variety of ML problems ranging from models on traditional structured data to models built on unstructured data such as user reviews, messages and listing images. The ability to build, iterate on, and maintain healthy machine learning models is critical to Airbnb’s success. Many ML Platforms cover data collection, feature engineering, training, deploying, productionalization, and monitoring but few, if any, do all of the above seamlessly.

Bighead aims to tie together various open source and in-house projects to remove incidental complexity from ML workflows. Bighead is built on Python and Spark and can be used in modular pieces as each ML problem presents unique challenges. Through standardization of the path to production, training environments and the methods for collecting and transforming data on Spark, each model is reproducible and iterable.

This talk covers the architecture, the problems that each individual component and the overall system aims to solve, and a vision for the future of machine learning infrastructure. It’s widely adapted in Airbnb and we have variety of models running in production. We have seen the overall model development time go down from many months to days on Bighead. We plan to open source Bighead to allow the wider community to benefit from our work.

ABOUT THE SPEAKER

Andrew Hoh is the Product Manager for the Machine Learning Infrastructure team at Airbnb. He graduated with a BA in Computer Science from Dartmouth College. Previously, he has spent time building and growing Microsoft Azure’s distributed database, Azure Cosmos DB.

View more keynotes and sessions from AI NY 2019:
https://oreilly.com/go/ainy19

Applied Machine Learning at Facebook

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We are in the middle of a major shift in computing that’s transitioning us from a mobile-first world into one that’s AI-first. AI will touch every industry and transform the products and services we use daily. Breakthroughs in machine learning have enabled dramatic improvements in the quality of Google Translate, made your photos easier to organize with Google Photos, and enabled improvements in Search, Maps, YouTube, and more. We’re also sharing the underlying technology with developers and researchers via open-source software such as TensorFlow, academic publications, and a full suite of Cloud machine learning services. Join this session to hear some of Alphabet’s top machine learning experts discuss their cutting-edge research and the opportunities they see ahead.

See all the talks from Google I/O ’17 here: https://goo.gl/D0D4VE
Watch more Android talks at I/O ’17 here: https://goo.gl/c0LWYl
Watch more Chrome talks at I/O ’17 here: https://goo.gl/Q1bFGY
Watch more Firebase talks at I/O ’17 here: https://goo.gl/pmO4Dr

Subscribe to the Google Developers channel: http://goo.gl/mQyv5L

#io17 #GoogleIO #GoogleIO2017

ML Systems Workshop @ NIPS 2017
https://nips.cc/Conferences/2017/Schedule?showEvent=8774

Contributed Talk 3: NSML: A Machine Learning Platform That Enables You to Focus on Your Models by Nako Sung. This Video is by Jung-Woo Ha.

The accelerated pace of success in machine learning applications reflects significant improvements in specialized hardware, algorithms, and access to data. Corporations now know that they need to deploy machine learning rapidly, but they are unsure about best practices. Public sentiment has shifted from skepticism to fears of runaway AI, as well as employment, privacy, and ethical issues. The future success of machine learning depends on our ability to capture competitive advantages and manage downside risks effectively.

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Connect with Singularity University:
Website: http://su.org
Blog: https://su.org/blog/
Hub: http://singularityhub.com
Facebook: https://www.facebook.com/singularityu
Twitter: https://twitter.com/singularityu
Linkedin: https://www.linkedin.com/company/singularity-university

About Singularity University:
Singularity University is a benefit corporation headquartered at NASA’s research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people.

Singularity University
http://www.youtube.com/user/SingularityU

In this episode of Eyes on Enterprise, Stephanie Wong invites Yufueng Guo, Developer Advocate for machine learning, to talk about how enterprises can incorporate ML into their environments, build workflows, and apply them to real world scenarios. Specifically, they discuss how to frame ML as descriptive, predictive, or prescriptive problems, and when to use tooling like Tensorflow, Keras, Scikit Learn, and Pytorch.

Follow Stephanie Wong on Twitter → @swongful

Time Markers:
0:00 Intro
0:34 Trends in ML
1:32 AI vs. ML
2:57 Building an ML workflow
10:31 ML tools and developer experience
11:33 Approaching ML by problem type
13:45 Processing in the cloud vs. on-prem
17:51 Google Cloud tools
20:12 Real world use cases
21:57 Takeaways

The 7 Steps of Machine Learning → https://goo.gle/3aUPQd5
AI Platform → https://goo.gle/2UyIPb1
The fight against illegal deforestation with TensorFlow → https://goo.gle/38I0gLk
AI Experiments → https://goo.gle/3aBsY1Y

For more content like this, subscribe to the GCP Channel → https://goo.gle/34tknuO
Watch more episodes of Eyes on Enterprise → https://goo.gle/2Uipf3X

Product: Cloud Machine Learning Engine; fullname: Stephanie Wong, Yufeng Guo;

#EyesOnEnterprise

#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

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