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В Тюменской области прошёл очередной этап телевизионного проекта «Охотничьи экспедиции». КСупер утилитарный «Буран», оснащённый четырёхтактным экологичным двигателем и, как будто созданный для охоты, «Патруль» с широкой 600 миллиметровой гусеницей и санями, трудились по полной программе. Прокладывали снегоходный след, так называемую «буранку», по которой, как по асфальту перемещались доезжачие, перевозили трофеи, служили транспортом для разведчиков-следопытов. Пригодились снегоходы и в охоте на копытных. Главными действующими лицами были лайки. Собаки находили зверя, останавливали и облаивали его, а задача охотников была в том, чтобы быстро подойти и сделать точный выстрел. Либо, когда, например, лось не останавливался, стрелкам нужно было грамотно стать на номера, так, чтобы оказаться на его пути. Маршрут перемещения лаек, а соответственно и зверя отслеживался на джипиэс приёмнике, так как четвероногие помощники были оснащены ошейниками с передатчиками. Обилие дичи в сибирских угодьях и отлично организованная охота позволили добыть отличные трофеи: двух косуль, молодого лося и кабана.

Музыка:
1) The Windmills of Your Mind - Fausto Papetti, правообладатель SME, Права заявлены от имени компании Sony BMG Music Entertainment.
2) AUTUMN LEAVES - PAUL MAURIAT AND HIS ORCHESTRA, правообладатель UMG.
3) Sous Le Ciel De Paris - Paul Mauriat, правообладатель UMG, Права заявлены от имени компании Mercury.
4) LA MER - PAUL MAURIAT AND HIS ORCHESTRA, правообладатель UMG.

Фильм о профессиональном (промысловом) охотнике западной Сибири - Казис Буошке. В фильме рассказывается об охоте на соболя, медведя, глухарей и прочих животных. Показаны способы охоты и быт охотника промысловика, а так же жизнь в городе данного охотника. Рекомендую к просмотрю всем, кто еще не видел данный фильм.

В центре киноповести потомственная семья сибирских охотников Боковиковых, а точнее сына Василия, в которой отчетливо преломились хозяйственные и жизненные проблемы. Бывший охотовед, егерь, штатный охотник Жигаловского коопзверопромхоза, он возвращается домой после заключения. Почти четыре года не был он в этих местах. Как встретят его в родном поселке.

Документальный фильм
Год выпуска: 1985

Автор: Александр Косенков
Режиссер: Валерий Соломин.
Оператор: Б. Шуньков

На Уазике преодолели таежные дороги. На передке стояли новые ОМСКШИНА Я-192. Глушитель перед поездкой заранее сняли, поэтому до глухих мест в тайге добрались без приключений. Спали в УАЗике. Взяли с собой пуховые одеяла и закутавшись ночь прошла как дома. На утро обнаружили толстый куржак на стеклах и вода в бутылках в тайге замерзла. Появилась проблема. В радиатор была залита вода. Стали греть в 5 литровом битончике воду и отогревать радиатор. 25 литров кипятка хватило, чтоб вода свободно стекала из открытого крана в радиаторе. Надо было еще найти краник на блоке двигателя. Почитав книгу, под карбюратором обнаружили краник. Маленько помучавшись открыли и этот спускной кран на блоке двигателя. Бобер изменил русло ручья и вся тропинка теперь была в воде. На ночь делали нодью, которая прятно обдавала нас теплом и достаточно нагревшись мы залазили под пуховые одеяла в УАЗ и спаливсю ночь, хотя в тайге был мороз - 20. Уазик не заводили и печку на ночь не включали. Вокруг нашей стоянки постоянно лазил медведь пестун. Ниже по реке готовилась ко сну медведица с двумя медвежатами. Идя по тропинке к реке, бобер постоянно следил за нами. Хариус клевал только ночью. Закинешь поплавок и считаешь до трех. Тянешь все хариус уже сидит. Пришлось прогуляться по речке и посмотреть и разгадать тайну рыбы хариуса. Оказывается камни на перекатах, охлажденные морозом начинали окутываться льдоми создавали заторы, что и вызывало клев хариуса. Посотрел царство бобра. Оказывается он строит множество плотин и может поднять уровень воды на 1 метров. Пробовали заводить уаз, промучались полтора дня и завели его только после того, как через медицинский шприц через отверстия для свечей в цилиндры впрыснули бензин. Уаз на холодную завелся сразу. Получалось так, что ручкой двигатель проворачивается, а свечи при осмотре были сухими. На обратной дороге помогли Ниве с выездом из тайги.
Рыбалка в тайге. Хариус, Осень, Сибирь, Выживание в тайге, Уаз, Нива, бобер

Полезные вещи для охоты здесь - Жизнь и промысел в тайге.





Жизнь в тайге. Профессиональный охотник Сибири.

Обзор выставки "Охота и Рыбалка Сибирь", проходившей 12-15 апреля в Новосибирском Экспо-Центре.

Узнать больше : http://andreymedonos.ru/
Наша группа Вконтекте http://vk.com/museumofhoney
https://www.instagram.com/andreymedonos/ Живём в Сибири ,север тюхтетского района. Андрей Медонос из деревни Пасечное и его многодетная семья : жена Алёна чулымка , дети Иван, Дима, Арсений.

In this challenge, I attempt to create a Ukulele tuner in JavaScript using p5.js, ml5.js and the pre-trained machine learning model CREPE: A Convolutional REpresentation for Pitch Estimation. Can you make one with a more elegant and creative interface?

Daniels Pavļuts received his Bachelour of Arts degree in Piano Performance at the Latvian Music academy, but his Master's in Public Administration (MPA) at Harvard University.

Daniels is a former secretary of state at the Ministry of Culture, has worked at various establishments as the board member and has served in several administrations. Held a private consultancy practice. In 2011 became the Minister of Economics in Valdis Dombrovskis government.

About TEDx, x = independently organized event
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.*
(*Subject to certain rules and regulations)

In this Disney Car Learning video for kids, let's learn colors and counting with color changing Disney Cars toys. It's the big race and Lightning McQueen, Mater, and their Disney Cars friends are ready to roll. In this educational preschool learning video we'll play with our color changing Disney cars, and learn counting as well. Which Disney Car do you think will win the big race? Watch and find out!



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Toddler, Genevieve, teaches Kids Alphabet: http://tinyurl.com/hqvwcs9
Cool Nesting Toy Cars for Kids: http://tinyurl.com/z4cyh6y
Fun Marble Mazes for Kids: https://youtu.be/YUswQ_kfrdk
Car Carrying Truck for Kids: http://tinyurl.com/j7akkon
Friendly Honey Bees Preschool Toy for Toddlers: http://tinyurl.com/guw9kxg
Fun Peg Pounding Bench Toy for Kids: http://tinyurl.com/hn4huyv
GIANT Best Marble Maze for Kids: http://tinyurl.com/hn4huyv

Godfather of artificial intelligence Geoffrey Hinton gives an overview of the foundations of deep learning. In this talk, Hinton breaks down the advances of neural networks, as applied to speech and object recognition, image segmentation and reading or generating natural written language.

For more info visit:
Website: http://elevatetechfest.com
Twitter: @elevatetechfest
Facebook: @elevatetechfest
Instagram: @elevatetechfest

Hiking across Washington on the PNT! I join my two friends and we enter the Pasayten Wilderness together. Shortly thereafter I lose them entirely in this very remote neck of woods.

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If you would like to get access to content I create about this type of stuff I don't share anywhere else join me on my Patreon!
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What would you learn if you could learn it in half the time? Another language? How to start a business? Get excited about this, because Jim Kwik is about to show you how to tap into your speed learning superpowers. Join his free masterclass here: https://go.mindvalley.com/Superbrain

********
VIDEO HIGHLIGHTS :
00:12 How can we learn faster?
02:18 What is long-term memory?
03:52 Stan Lee "with great power comes great responsibility"
********

We’ve been taught a giant lie — we’ve been taught that our learning is limited and fixed.

Want to know the REAL truth?

Learning is absolutely LIMITLESS. You can learn as much as you want, about whatever you want, and, yes, as FAST as you want.

In this quick video, learning and memory expert, Jim Kwik, teaches you how to tap into your speed learning superpowers so that you can learn anything in half the time — and make it stick.

He uses the simple, yet witty acronym: FAST

Forget —

Forget what you already know about a subject. Open yourself to learn something new. Start every subject with a beginners mind. Also, forget about what else is going on in the world around you — distraction is not friends with learning. Finally, forget about your limitations; your learning is limitless.

Active —

As Jim Kwik often says, “Learning is not a spectator sport.” We don’t learn through consumption, we learn from creation. Get active while learning.

State —

By state, he means the current mood of your mind and body. Information, when combined with emotion, creates long term memory. You can learn much more by getting excited about what you learning.

Ever notice how you tend to remember the names of people you find attractive much more easily? Hmm…

Teach —

Learn something as if you are going to teach it to someone else. When you teach something, you get to learn it twice.

When you learn faster, you achieve faster. It’s time to start speed learning.

ABOUT JIM KWIK:

Once labeled “the boy with the broken brain,” Jim Kwik is now the world’s leading expert in memory improvement and brain performance. He is a powerful Brain Coach for Hollywood superstars, top universities, Fortune 500 organizations, and big-time entrepreneurs like Peter Diamandis, Richard Branson, and Elon Musk.

#JimKwik #Superbrain #Learning

Geometric Deep Learning is able to draw insights from graph data. That includes social networks, sensor networks, the entire Internet, and even 3D Objects (if we consider point cloud data to be a graph). I'll explain how it works via a demo of me using a graph convolutional network to classify people by their interest in sports teams as well as a 3D object classification demo. At its core, it comes down to being able to learn from non-Euclidean data. Euclid's laws help define certain types of data, so I'll cover some geometry background as well. Enjoy!

Code for this video:
https://github.com/llSourcell/pytorch_geometric

Please Subscribe! And Like. And comment. Thats what keeps me going.

Want more education? Connect with me here:
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More learning resources:
http://sungsoo.github.io/2018/....02/01/geometric-deep
http://geometricdeeplearning.com/
https://arxiv.org/abs/1611.08097
http://3ddl.stanford.edu/CVPR1....7_Tutorial_Intrinsic
https://github.com/rusty1s/pytorch_geometric
https://pemami4911.github.io/p....aper-summaries/deep-

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Learn Common Words for Kids Peppa Pig gets a New House! In this preschool learning video for kids, Peppa Pig gets a new toy house! We'll teach kids common words to help with basic reading skills for preschoolers, while Peppa Pig, George Pig, Daddy, and Mummy Pig move to their new toy house with their new LOL Pet and Daddy Pig's big screen TV! Peppa's new house even has a telescope so she can look at the planets, stars, and even the moon!

2:37 - Setting up Peppa's new house!
10:22 - Outer Space!


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Get Awesome Genevieve's Playhouse Shirts, Backpacks, and more:
https://www.genevievesplayhouse.com
And shop for some of our Favorite Toys:
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https://amzn.to/2BvGRyS
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Subscribe to Genevieve's Playhouse Here:
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Here are some of our other fun kid & toddler learning videos by Genevieve's Playhouse:
Ball Pounding Bench Preschool Toys for Toddlers: http://tinyurl.com/jv8eyyh
Toddler, Genevieve, teaches Kids Alphabet: http://tinyurl.com/hqvwcs9
Cool Nesting Toy Cars for Kids: http://tinyurl.com/z4cyh6y
Fun Marble Mazes for Kids: https://youtu.be/YUswQ_kfrdk
Car Carrying Truck for Kids: http://tinyurl.com/j7akkon
Friendly Honey Bees Preschool Toy for Toddlers: http://tinyurl.com/guw9kxg
Fun Peg Pounding Bench Toy for Kids: http://tinyurl.com/hn4huyv
GIANT Best Marble Maze for Kids: http://tinyurl.com/hn4huyv

We are hard-wired to shrink away from the things that scare us – to fight, flee or freeze in the face of danger. That’s a good thing, but anxiety is about perceived danger, which is different from actual danger. When we act based solely on nervous feelings, our worlds can become very small. Our desperate attempt to avoid discomfort and uncertainty fuels anxiety, and avoidance locks it in place. Yet we can take back control. We can learn to face our fears rather than running from them.

Dr. Dawn Huebner believes we can all be taught to overcome fear and anxiety. In this engaging talk she explains how anyone, at any age, can conquer debilitating fear. A clinical psychologist in private practice, she treats children with a variety of emotional, behavioral and developmental concerns.

Huebner is the author of “The What To Do Guides for Kids” series, which not only reflect her beliefs about empowerment, but also provide practical advice for parents and children. Her personal journey as a parent, however, led Huebner on a quest to find ways of using cognitive-behavioral therapy as an approach. With simple language and humor, she presents sophisticated concepts in a way easily understood by everyone. These concepts, in book form, have been translated and sold in 12 different languages worldwide. Learn more about Dr. Dawn Huebner at http://bit.ly/1CcwlV5.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Want to stay current on emerging tech? Check out our free guide today: http://bit.ly/2GJesc2

What is AI? What is machine learning and how does it work? You’ve probably heard the buzz. The age of artificial intelligence has arrived. But that doesn’t mean it's easy to wrap your mind around. For the full story on the rise of artificial intelligence, check out The Robot Revolution: http://hubs.ly/H0630650

Let’s break down the basics of artificial intelligence, bots, and machine learning. Besides, there's nothing that will impact marketing more in the next five to ten years than artificial intelligence. Learn what the coming revolution means for your day-to-day work, your business, and ultimately, your customers.

Every day, a large portion of the population is at the mercy of a rising technology, yet few actually understand what it is.

Artificial intelligence. You know, HAL 9000 and Marvin the Paranoid Android?

Thanks to books and movies, each generation has formed its own fantasy of a world ruled -- or at least served -- by robots. We’ve been conditioned to expect flying cars that steer clear of traffic and robotic maids whipping up our weekday dinner.

But if the age of AI is here, why don’t our lives look more like the Jetsons?

Well, for starters, that’s a cartoon. And really, if you’ve ever browsed Netflix movie suggestions or told Alexa to order a pizza, you’re probably interacting with artificial intelligence more than you realize.

And that’s kind of the point. AI is designed so you don’t realize there’s a computer calling the shots. But that also makes understanding what AI is -- and what it’s not -- a little complicated.

In basic terms, AI is a broad area of computer science that makes machines seem like they have human intelligence.

So it’s not only programming a computer to drive a car by obeying traffic signals, but it’s when that program also learns to exhibit signs of human-like road rage.

As intimidating as it may seem, this technology isn’t new. Actually, for the past half-a-century, it’s been an idea ahead of its time.

The term “artificial intelligence” was first coined back in 1956 by Dartmouth professor John McCarthy. He called together a group of computer scientists and mathematicians to see if machines could learn like a young child does, using trial and error to develop formal reasoning. The project proposal says they’ll figure out how to make machines “use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.”

That was more than 60 years ago.

Since then, AI has remained for the most part in university classrooms and super secret labs … But that’s changing.

Like all exponential curves, it’s hard to tell when a line that’s slowly ticking upwards is going to skyrocket.

But during the past few years, a couple of factors have led to AI becoming the next “big” thing: First, huge amounts of data are being created every minute. In fact, 90% of the world’s data has been generated in the past two years. And now thanks to advances in processing speeds, computers can actually make sense of all this information more quickly. Because of this, tech giants and venture capitalists have bought into AI and are infusing the market with cash and new applications.

Very soon, AI will become a little less artificial, and a lot more intelligent.

Now the question is: Should you brace yourself for yet another Terminator movie, live on your city streets?

Not exactly. In fact, stop thinking of robots. When it comes to AI, a robot is nothing more than the shell concealing what’s actually used to power the technology.

That means AI can manifest itself in many different ways. Let’s break down the options…

First, you have your bots. They’re text-based and incredibly powerful, but they have limitations.

Ask a weather bot for the forecast, and it will tell you it’s partly cloudy with a high of 57. But ask that same bot what time it is in Tokyo, and it’ll get a little confused. That’s because the bot’s creator only programmed it to give you the weather by pulling from a specific data source.

Natural language processing makes these bots a bit more sophisticated. When you ask Siri or Cortana where the closest gas station is, it’s really just translating your voice into text, feeding it to a search engine, and reading the answer back in human syntax. So in other words, you don’t have to speak in code.



Machine intelligence, artificial intelligence, machine learning, artificial intelligence tutorial, machine learning tutorial, evolution of machine learning, advantages of artificial intelligence, applications of artificial intelligence, ai meaning, machine learning applications, artificial intelligence examples,

Kristin is a school principal who is passionate about working with teachers to help students learn in a way that sticks through spiralling curriculum. Through her funny and engaging talk, she shares the power of recursive teaching in math with some phenomenal results for student learning through changing teacher practice.

Kristin Phillips has a passion for educational change. She works closely with teachers and administrators at the school and board level to bring about pedagogical change based on current research and practices.

Her current interest is "recursive teaching" in order to better engage students and promote learning that "sticks". She is currently a principal at a grade 7-8 school in Kitchener, ON.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

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The science and ethics behind ML and AI.

Visual, tactile/Kinesthetic, and Auditory learning style examples.

Mrs. Seema Dayma explained about the basic concept of e-learnin and its defination. www.gurukpo.com, www.biyanicolleges.org