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Scooped by
Kim Flintoff
April 28, 2020 6:36 AM
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Infographics are often regarded as the world's most-spoken language. In the field of journalism, they have the ability to unify incredibly dense and complicated subjects in a way that is attainable for all. "The pearl of journalism," explains Alberto Lucas López, one of the most celebrated infographers of this generation. Delve into his journey and discover how he changed the style guide of National Geographic.
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Scooped by
Kim Flintoff
April 1, 2020 1:16 AM
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The fight to slow the corona virus pandemic is underpinned by a range of scientific disciplines, including mathematics, biostatistics and … Continued
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Scooped by
Kim Flintoff
October 2, 2019 6:54 PM
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We’re drowning in data. Everyday, 2.5 quintillion bytes of data are created. This is the equivalent of 90% of the world’s information–created in the last two years alone. Now this is what we call…
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Scooped by
Kim Flintoff
August 13, 2019 9:00 PM
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This webinar will discuss how schools and other education providers can use artificial intelligence and predictive analytics to promote student success, improve retention, streamline enrollment, and better manage resources. It covers the benefits and limitations of these emerging technologies, as well as related legal obligations related to privacy, data protection, equal protection, and discrimination law. The webinar focuses on ethical questions raised by the use of artificial intelligence tools in education, highlighting various concerns and principles raised by the government, advocates, academics, and learning-science practitioners. The webinar concludes with best practices and sample policies to guide school procurement, implementation, and oversight of machine-learning systems. Outcomes Investigate emerging applications for artificial intelligence in higher education Understand the benefits and limitations of new technologies Discuss legal considerations, including student privacy, data protection, and discrimination law Consider extralegal ethical questions
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Scooped by
Kim Flintoff
July 30, 2019 10:51 PM
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Computational thinking is one of the biggest buzzwords in education—it’s even been called the ‘5th C’ of 21st century skills. While it got its start as a way to help computer scientists think more logically about data analysis, lately it’s been catching on with instructors in a diverse number of subjects—from science to math to social studies. One reason for its emerging popularity? It’s engaging.
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Scooped by
Kim Flintoff
June 14, 2019 10:59 PM
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I compared time use for those with children under 18 against those without. Here’s where the minutes go.
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Scooped by
Kim Flintoff
April 1, 2019 12:47 AM
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Half-living, half-synthetic bio-computers will soon be able to reason and multi-task like humans, paving the way for a world where computers can help solve ‘unsolvable’ problems, if QUT researcher Associate Professor Dan Nicolau has his way. Nicolau, who recently published a paper in the Royal Society’s Interface Focus, was awarded a $978,125 Australian Research Council Future Fellowship last year to develop the technology he hopes will disrupt computation – a living, breathing device made from living things.
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Scooped by
Kim Flintoff
February 23, 2019 7:51 PM
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Data science is an immensely powerful tool in our data-driven world. Call me idealistic, but I believe this tool should be used for more than getting people to click on ads or spend more time consumed by social media. In this article and the sequel, we’ll walk through a complete machine learning project on a “Data Science for Good” problem: predicting household poverty in Costa Rica. Not only do we get to improve our data science skills in the most effective manner — through practice on real-world data — but we also get the reward of working on a problem with social benefits.
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Scooped by
Kim Flintoff
February 13, 2019 5:53 PM
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What kinds of experiences should school-aged learners have with data? What must be done now and anticipated in the future in order to make these experiences possible?
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Scooped by
Kim Flintoff
February 3, 2019 8:19 PM
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Play and playfulness have caught the attention of educators around the world. Play and playfulness in schools?! As we struggle to prepare students for a quickly changing world filled with uncertainty, the risk-taking, imagining, inventing and learning from mistakes that learning through play fosters are essential dispositions that schools must promote. The Pedagogy of Play (PoP) project offers guidance and inspiration for educators asking the question: how can we bring more play and playfulness into our classrooms and schools? We are working on a framework that supports teachers and school leaders in creating cultures where playful learning thrives.
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Scooped by
Kim Flintoff
January 24, 2019 7:36 PM
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Have you ever wanted to start a new project but you can’t decide what to do? First, you spend a couple hours brainstorming ideas. Then days. Before you know it, weeks have gone by without shipping anything new. This is extremely common for self-driven projects in all fields; data science is no different. It’s easy to have grand ambitions but much more difficult to execute on them. I’ve found the hardest part of a data science project is getting started and deciding which path to go down. In this post, my intention is provide some useful tips and resources to springboard you into your next data science project.
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Scooped by
Kim Flintoff
December 19, 2018 9:03 PM
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Interpreting Machine Learning models is no longer a luxury but a necessity given the rapid adoption of AI in the industry. This article in a continuation in my series of articles aimed at ‘Explainable Artificial Intelligence (XAI)’. The idea here is to cut through the hype and enable you with the tools and techniques needed to start interpreting any black box machine learning model. Following are the previous articles in the series in case you want to give them a quick skim (but are not mandatory for this article).
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Scooped by
Kim Flintoff
December 19, 2018 9:01 PM
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I want to show you how to become a Data Scientist without a degree (or for free). Ironically, I do have a degree — one that was even made for Data Science (Master’s in Analytics from Northwestern)…
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Scooped by
Kim Flintoff
April 18, 2020 9:56 PM
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Much of the work undertaken by artificial intelligence involves a training process known as machine learning, where AI gets better at a task such as recognising a cat or mapping a route the more it does it. Now that same technique is being use to cre
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Scooped by
Kim Flintoff
February 3, 2020 8:29 PM
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HSE University’s Laboratory of Methods for Big Data Analysis utilises machine learning to benefit academia and industry
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Scooped by
Kim Flintoff
August 21, 2019 3:54 AM
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A new approach to training artificial intelligence algorithms involves paying people to submit medical data, and storing it in a blockchain-protected system.
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Scooped by
Kim Flintoff
August 12, 2019 10:46 PM
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The trend toward off-the-shelf AI has risks. Machine learning algorithms are often called black boxes, their inner workings shrouded in mystery, and the prepackaged versions can be even more opaque. Novices who don't bother to look under the hood might not recognize problems with their data sets or models, leading to overconfidence in biased or inaccurate results.
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Scooped by
Kim Flintoff
June 27, 2019 10:27 PM
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Data analytics can drive decision-making, but to optimize those decisions, stakeholders must couple effective methods with a shared understanding of both the domain and the institutional goals.
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Scooped by
Kim Flintoff
May 9, 2019 9:02 PM
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However, there are still many more educators who do not feel comfortable with computational thinking concepts than those who do. To address this, Digital Promise has led workshops with hundreds of teachers from all academic disciplines to introduce them to computational thinking practices. Drawing from both learning sciences research and feedback from educators, we developed this framework to support teachers in identifying where their students can leverage computational thinking. Within these eight key concepts, teachers of science, math, language arts, social studies, and art have found intersections with what their students are expected to know and know how to do.
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Scooped by
Kim Flintoff
March 10, 2019 4:29 PM
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About this course Skip Course Description The Internet of Things is creating massive quantities of data, and managing and analysing it requires a unique approach to programming and statistics for distributed data sources. This course will teach introductory programming concepts that allow connection to, and implementation of some functionality on, IoT devices, using the Python programming language. In addition, students will learn how to use Python to process text log files, such as those generated automatically by IoT sensors and other network-connected systems. Learners do not need prior programming experience to undertake this course, and will not learn a specific programming language - however Python will be used for demonstrations. This course will focus on learning by working through realistic examples. What you'll learn Appreciate the software needs of an IoT project Understand how data is managed in an IoT network Apply software solutions for different systems and Big Data to your IoT concept designs Create Python scripts to manage large data files collected from sensor data and interact with the real world via actuators and other output devices.
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Scooped by
Kim Flintoff
February 13, 2019 5:55 PM
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The age of data is upon us! Complex datasets underpin nearly every aspect of modern life, demanding data fluency by all students. This set of dynamic data science activities is designed for grades 5-14. By working with data frequently and repeatedly, learners develop experience and competence, gaining fluency with the data moves necessary for structuring, examining, and diving into data, and ultimately building excitement for their ability to work with data.
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Scooped by
Kim Flintoff
February 11, 2019 7:31 PM
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In the field of data science, there are almost too many resources available: from Datacamp to Udacity to KDnuggets, there are thousands of places online to learn about data science. However, if you are someone who likes to jump in and learn by doing, Kaggle might be the single best location for expanding your skills through hands-on data science projects.
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Scooped by
Kim Flintoff
January 27, 2019 7:40 PM
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Machine learning is complex. For newbies, starting to learn machine learning can be painful if they don’t have right resources to learn from. Most of the machine learning libraries are difficult to understand and learning curve can be a bit frustrating. I am creating a repository on Github(cheatsheets-ai) containing cheatsheets for different machine learning frameworks, gathered from different sources. Do visit the Github repository, also, contribute cheat sheets if you have any. Thanks.
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Scooped by
Kim Flintoff
January 17, 2019 5:24 PM
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The main point to address, and the one that provides the title for this post, is that machine learning is not just glorified statistics—the same-old stuff, just with bigger computers and a fancier name. This notion comes from statistical concepts and terms which are prevalent in machine learning such as regression, weights, biases, models, etc. Additionally, many models approximate what can generally be considered statistical functions: the softmax output of a classification model consists of logits, making the process of training an image classifier a logistic regression.
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Scooped by
Kim Flintoff
December 19, 2018 9:02 PM
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Over the last few weeks, I’ve taken a break from writing to focus on applying to internships. But as I was driving to class today, a question began to bother me.
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Promising to transform the ways we live, work, and play, the Internet of Things (IoT) offers impressive benefits but presents significant challenges.
Today billions of devices are connected to the Internet in what we call the "Internet of Things" or "IoT". These devices are already transforming our lives, but as they do, there are also serious challenges that must be addressed to maximize the potential benefits.
The document begins by exploring four areas:
The largest portion of the paper presents five primary challenge areas:
Learn more / En savoir plus / Mehr erfahren:
http://www.scoop.it/t/securite-pc-et-internet/?tag=Linux.Wifatch
http://www.scoop.it/t/21st-century-learning-and-teaching/?tag=Internet+of+Things
http://www.scoop.it/t/securite-pc-et-internet/?tag=Router
http://www.scoop.it/t/securite-pc-et-internet/?tag=smart-TV
http://www.scoop.it/t/securite-pc-et-internet/?tag=Internet+of+things
http://globaleducationandsocialmedia.wordpress.com/2014/01/21/why-is-it-a-must-to-have-basics-knowledge-of-cyber-security-in-a-connected-technology-world/
http://www.scoop.it/t/securite-pc-et-internet/?tag=Cars
Bwindi Impenetrable National Park – Gorilla Tracking
This Gorilla tracking safari starts by you making a booking with Love Uganda safaris and from the date of arrival, our guide will meet you at the airport in entebbe where he will will pick and take you to the hotel in kampala. The traffic jam, cool breeze and noise will welcome you to your Uganda safaris. Later in the morning, you will drive towards the south western parts of uganda to go catch the incredible mountain gorilla in bwindi
Your gorilla tracking safari is sure to be the highlight of your Uganda safari trip. Waking up early in the morning because you need to be at the Uganda Wildlife Authority ranger station by 07.45am. You will then be allocated guides before heading into the forest. Here you will be offered a walking stick – take it as very useful in the slippery conditions. Also available at the ranger stations are porters. For around $20 they will pull and push you up the mountainside. This can be particularly helpful during rainy season when doing your Gorilla tracking. You have paid $600 to see the gorilla the $20 goes to a local man living near the forest. Gorilla tracking permits are available from the Uganda Wildlife Authority. While the permit may seem steep, 20% of the receipts go to communities living around the park while the rest is required to finance the Uganda Wildlife Authority’s efforts to provide adequate protection of the gorilla families in this area of Uganda. This is one of the primary reasons the gorillas have survived and continued to remain in this area of the Bwindi Impenetrable National Park hence giving you also a chance to come on a uganda gorilla safari for Gorilla tracking
Habituation of a gorilla group takes a minimum of two years, with daily visits to allow the gorilla group to tolerate human presence. It is only when the gorillas are completely comfortable with human presence that tourists are allowed to share the daily hour of contact with them. Only eight people are able to track each habituated group. The walk to find the gorillas may be as short as two hours, but it will generally take 2-4 hours to find them as their territory can range up to 40km. Initial trackers go in to the forest first while you are being briefed; they locate the night nest of the gorillas from the day before. They then track the gorilla to their new position. Once the family of gorillas is found, the trackers make radio contact with your guide and will direct him to your meeting place. The park rangers and guides will clear the way and assist you through the forest. You will need good fitness to make this walk and the going can be slippery and tough at times. Once the gorilla group is located you will spend an hour with them as they feed, rest and play.
Sitting with the mountain gorilla is one of the most amazing experience while on the uganda wildlife safari you will ever have. A dominant male silverback can weigh over 200 kg and is the largest living primate. He will control your meeting as well as deciding when his group will eat, sleep and move on. His females care for their young with affection and playfulness but also with discipline. Gorillas are very curious, and are capable of making over 25 different vocalizations, including chuckling and purring. Communication also includes posturing, chest beating and if all else fails – the charge! The privilege of spending an hour with this family group is an experience that will never leave you. After your hour is up, you wind your way slowly out of the forest and back to the camp to swap stories about your amazing experience.
Gorilla tracking is one of the beautiful and spectacular experiences one can ever get while on the Uganda safari because it is so adventurous and fun and also it gives one a chance to experiences other attractions of the forest like the chimps, birds and the vegetation all this can be made possible if you book your uganda safari with Love Uganda Safaris which is the only company in uganda which will make you fall in love with the stranger country because they offer the best services to their clients which you can not find them elsewhere from the other tour operator
http://www.loveugandasafaris.com/uganda-safaris-gorilla-wildlife-safaris/10-days-fly-in-uganda-safari/
http://www.loveugandasafaris.com/10-day-uganda-safari-gorilla-chimpanzee-tracking-wildlife/
http://www.loveugandasafaris.com/uganda-gorilla-trekking-tours/17-days-gorilla-tracking-birding-wildlife/
http://www.loveugandasafaris.com/8-daygorilla-safari-adventure/