This presentation was used to explain how Wolfram Alpha was born, how it can be used in many fields and create a discussion thread on what kind of implications can computational knowledge have in the future.
Wolfram Alpha (also styled Wolfram Alpha and Wolfram Alpha) is a computational knowledge engine or answer engine developed by Wolfram Research. It is an online service that answers factual queries directly by computing the answer from externally sourced "curated data", rather than providing a list of documents or web pages that might contain the answer as a search engine might.
This is a follow up on a previous talk on hacking my energy monitor. In this talk I go into detail on how I used Machine Learning techniques in the area of Anomaly Detection to draw more value from my data collection.
This presentation was used to explain how Wolfram Alpha was born, how it can be used in many fields and create a discussion thread on what kind of implications can computational knowledge have in the future.
Wolfram Alpha (also styled Wolfram Alpha and Wolfram Alpha) is a computational knowledge engine or answer engine developed by Wolfram Research. It is an online service that answers factual queries directly by computing the answer from externally sourced "curated data", rather than providing a list of documents or web pages that might contain the answer as a search engine might.
This is a follow up on a previous talk on hacking my energy monitor. In this talk I go into detail on how I used Machine Learning techniques in the area of Anomaly Detection to draw more value from my data collection.
After college students will never use a graphing calculator. Math educators should incorporate low-cost or free, user-friendly computer software such as WolframAlpha, to connect their courses more with the real world.
Automated machine learning lectures given at the Advanced Course on Data Science & Machine Learning. AutoML, hyperparameter optimization, Bayesian optimization, Neural Architecture Search, Meta-learning, MAML
Data Workflows for Machine Learning - Seattle DAMLPaco Nathan
First public meetup at Twitter Seattle, for Seattle DAML:
http://www.meetup.com/Seattle-DAML/events/159043422/
We compare/contrast several open source frameworks which have emerged for Machine Learning workflows, including KNIME, IPython Notebook and related Py libraries, Cascading, Cascalog, Scalding, Summingbird, Spark/MLbase, MBrace on .NET, etc. The analysis develops several points for "best of breed" and what features would be great to see across the board for many frameworks... leading up to a "scorecard" to help evaluate different alternatives. We also review the PMML standard for migrating predictive models, e.g., from SAS to Hadoop.
Dataiku, Pitch at Data-Driven NYC, New York City, September 17th 2013Dataiku
Our pitch at Data-Driven NYC meetup on September 17th (http://datadrivennyc.com).
Speaking about Data Scientists pains and how Dataiku Data Science Studio can help them to more than Data Cleaners and Data Leak Fixers !
Si è tornato a parlare molto di Machine Learning negli ultimi anni. Grazie anche al fatto che è possibile oggi processare enormi moli di dati in tempi (relativamente) veloci questa parte dell'informatica sta vivendo una seconda giovinezza.
In questa sessione vedremo cos'è il machine learning, quali sono le diverse casistiche tecniche e funzionali in cui può essere usato ed inizieremo a "giocare" con i dati per vedere fin dove possiamo spingerci, usando strumenti On-Premise e quindi spostandoci poi sull'offerta Azure Machine Learning dove, una volta fatta propria la teoria, si possono realizzare soluzioni estremamente complesse in modo molto visuale, oppure integrandosi con R ed IPython e sfruttare la scalabilità di Azure per avere performance ottimali. Il tutto senza dimenticare che gli algoritmi così ottenuti possono essere facilmente integrati nelle nostre applicazioni semplicemente invocando un web service.
I help companies to leverage the power of Deep Learning today. We review what Deep Learning is, how TensorFlow can be used in real world applications and some of the ways in which you can tune it to achieve the results that you wish. Contact me to learn more about our services at Lab651 where we help companies acquire data from the physical world and at Recursive Awesome where we perform Machine Learning and Analytics on the data to help you create better services and products for your customers.
Introducing TensorFlow: The game changer in building "intelligent" applicationsRokesh Jankie
This is the slidedeck used for the presentation of the Amsterdam Pipeline of Data Science, held in December 2016. TensorFlow in the open source library from Google to implement deep learning, neural networks. This is an introduction to Tensorflow.
Note: Videos are not included (which were shown during the presentation)
After college students will never use a graphing calculator. Math educators should incorporate low-cost or free, user-friendly computer software such as WolframAlpha, to connect their courses more with the real world.
Automated machine learning lectures given at the Advanced Course on Data Science & Machine Learning. AutoML, hyperparameter optimization, Bayesian optimization, Neural Architecture Search, Meta-learning, MAML
Data Workflows for Machine Learning - Seattle DAMLPaco Nathan
First public meetup at Twitter Seattle, for Seattle DAML:
http://www.meetup.com/Seattle-DAML/events/159043422/
We compare/contrast several open source frameworks which have emerged for Machine Learning workflows, including KNIME, IPython Notebook and related Py libraries, Cascading, Cascalog, Scalding, Summingbird, Spark/MLbase, MBrace on .NET, etc. The analysis develops several points for "best of breed" and what features would be great to see across the board for many frameworks... leading up to a "scorecard" to help evaluate different alternatives. We also review the PMML standard for migrating predictive models, e.g., from SAS to Hadoop.
Dataiku, Pitch at Data-Driven NYC, New York City, September 17th 2013Dataiku
Our pitch at Data-Driven NYC meetup on September 17th (http://datadrivennyc.com).
Speaking about Data Scientists pains and how Dataiku Data Science Studio can help them to more than Data Cleaners and Data Leak Fixers !
Si è tornato a parlare molto di Machine Learning negli ultimi anni. Grazie anche al fatto che è possibile oggi processare enormi moli di dati in tempi (relativamente) veloci questa parte dell'informatica sta vivendo una seconda giovinezza.
In questa sessione vedremo cos'è il machine learning, quali sono le diverse casistiche tecniche e funzionali in cui può essere usato ed inizieremo a "giocare" con i dati per vedere fin dove possiamo spingerci, usando strumenti On-Premise e quindi spostandoci poi sull'offerta Azure Machine Learning dove, una volta fatta propria la teoria, si possono realizzare soluzioni estremamente complesse in modo molto visuale, oppure integrandosi con R ed IPython e sfruttare la scalabilità di Azure per avere performance ottimali. Il tutto senza dimenticare che gli algoritmi così ottenuti possono essere facilmente integrati nelle nostre applicazioni semplicemente invocando un web service.
I help companies to leverage the power of Deep Learning today. We review what Deep Learning is, how TensorFlow can be used in real world applications and some of the ways in which you can tune it to achieve the results that you wish. Contact me to learn more about our services at Lab651 where we help companies acquire data from the physical world and at Recursive Awesome where we perform Machine Learning and Analytics on the data to help you create better services and products for your customers.
Introducing TensorFlow: The game changer in building "intelligent" applicationsRokesh Jankie
This is the slidedeck used for the presentation of the Amsterdam Pipeline of Data Science, held in December 2016. TensorFlow in the open source library from Google to implement deep learning, neural networks. This is an introduction to Tensorflow.
Note: Videos are not included (which were shown during the presentation)
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
Thinking About Prototyping: Sketching, Familiarity, Costs versus Ease of Prototyping, Prototypes and Production, Changing Embedded Platform, Physical Prototypes and Mass Personalisation, Climbing into the Cloud, Open Source versus Closed Source, Why Closed? Why Open? Mixing Open and Closed Source, Closed Source for Mass Market Projects, Tapping into the Community. Prototyping Embedded Devices: Electronics, Sensors, Actuators, Scaling Up the Electronics, Embedded Computing Basics, Microcontrollers, System-on-Chips, Choosing Your Platform, Arduino, Developing on the Arduino, Some Notes on the Hardware, Openness, Raspberry Pi, Cases and Extension Boards, Developing on the Raspberry Pi, Some Notes on the Hardware, Openness.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
1. Summer
Technology
Series
WELCOME!
2009
Summer Technology
Series Week 1
Session 1: 10:00 – 10:25
Wolfram Alpha: What Is It?
Session 2: 10:30 – 10:55 (hands on)
10 Tips for Word and PowerPoint that Will
Change Your Life
Session 3: 11:00 – 11:30
Introduction to 1-1 Computing
3. Summer
Technology
Series
Podcast of the Week
2009
To Tech As Jesus Did Podcast
Weekly updates on top news stories in the
world of educational technology and
technology in general
Available at www.toctechasjesusdid.com
and the itunes library
4. Summer
Technology
Wolfram Alpha
Series
2009
• It All Started with Search…
• Google Is More than You Think
• The Story of Wolfram Alpha
• What It Does/Doesn’t Do
• The Future
6. Summer
Technology
Google Is More than You Think!
Series
2009
• Power searching
• Other tools
– Time
– Weather
– Math
– Conversion
7. Summer
Wolfram Alpha May 15, 2009
Technology
Series
2009
• Stephen Wolfram
• Stephen Wolfram
• Mathematica, A New Kind of
• Mathematica, A New Kind of
Science
Science
• Merging computational ability
• Merging Computational Ability
with search capability
with Search Capability
• Uses traditional search
• Uses Traditional Search
engines to gather data
Engines to Gather Data
• Not a search engine, aa
• Not a Search Engine,
Computational Engine
Computational Engine
8. Summer
Technology
What It’s Good For
Series
2009
• Finding hard facts
• Seeing facts presented,
analyzed in new ways
• Comparisons
• Mathematical calculations
• Conversions
• Finishing crossword puzzles
9. Summer
Technology
Series
Plans for Growth
2009
• Building resources
• Increasing the “known” facts &
calculations
• Integration into other programs
• Taking over the world!