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Ноль, бесконечность, отрицательные числа, мнимые и комплексные числа — всё это и многое другое в математике когда-то считалось чем-то странным и парадоксальным. Тем не менее, со временем, эти концепции становились незаменимыми инструментами в руках специалистов. В этом видео Дерек Маллер с канала Veritasium расскажет о ещё одной такой диковинке — странных бесконечных P-адических числах, которыми пользовались в своих вычислениях более десятка лауреатов Филдсовской премии и, благодаря которым удалось решить Великую теорему Ферма.

Отдельная благодарность за помощь с переводом видео Елене Иконниковой и Сергею Самойленко.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Елизавета Миронова, Кирилл Циберкин
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Отдельная благодарность Сергею Самойленко

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
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Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, opperatius, Куляш, Oleg Zingilevskiy, Таисия, Eugene Tsaplin, Мikhail Samin, Александр Кагановский, Vitaliy Vachynyuk, Ника Калмыкова, Pavel Parpura, Anton Bolotov, Katoto Chan, Anatoly Ressin, Ihar Marozau, Vadim Velicodnii, Irina Shakhverdova, Aleksei Shabalin, Artem Amirbekov, Victor Cazacov, Vladyslav Sokolenko, Oleksandr Hrebeniuk, Kirill Zaslavskii, Timur Sattarov, Alex Kulakov, Vladimir Sharich, Morock_D, Katya Ma, Alexander Goida, Maxim Korotkov, Leonid Steinberg, Anna Ostrovskaya, Artem Piskarev, Artem Sobolenkov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, asdadasa, dv0, Адам Шифф, Александр Денисов, Арс Ник, Василий , Глеб Кочергин, Иван Новиков, Илья Зверев, Никита Омельницкий, Тимур Абдуллин, Alexander Lebedev, Lexx, Nikrodol, Rashn, Rincewind, Sonra44, Шурик Самара.

#vertdider #veritasium

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/tRaq4aYPzCc

Поддержать проект можно по ссылкам:
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Самый сильный в мире магнит способен создать поле в миллион раз сильнее магнитного поля Земли. С его помощью можно поднять в воздух ягоды, кусочки пиццы и даже животных. Как, а главное зачем такой магнит работает, расскажет Дерек Маллер в новом видео Veritasium о Национальной лаборатории сильных магнитных полей в Таллахасси.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Кирилл Циберкин, Александр Цимеринов
Озвучка: Дмитрий Чепусов, Алексей Никитин, Владимир Курдов, Дмитрий Машкович, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, Vitaliy Vachynyuk, Aleksandr P., Мikhail Samin, Dmitrii Komarevtsev, Roman Inflianskas, Oleg Zingilevskiy, opperatius, Alena, Ника Калмыкова, Куляш, Anton Bolotov, Eugene Tsaplin, Anatoly Ressin, Anpat, Katoto Chan, Pavel Parpura, JIukaviy, angel, Vladyslav Sokolenko, Timur Sattarov, Victor Cazacov, Kirill Zaslavskii, Ihar Marozau, Artem Amirbekov, Dzmitryi Halyava, Aleksei Shabalin, Kseniya Stukova, Irina Shakhverdova, Vadim Velicodnii, Stanislav Obrazcoff, POD666, Janis Riekstins, Oleksandr Hrebeniuk, Sergey P, Павел Приступа, Anna Ostrovskaya, Валентин Матвейчик, Leonid Steinberg, Ilya, Alexander Goida, Katya Ma, Morock_D, Evgeny Vrublevsky, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Roman Gelingen, Сергей Клопов, Alexander Lebedev, Lexx, Nikrodol, Rincewind, Sonra44, Ranis Zaripov, Alexey Tyurnin, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Artem Piskarev, Artem Sobolenkov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, Арс Ник, Василий , Глеб Кочергин, Иван Новиков, Илья Зверев, Никита Омельницкий, Тимур Абдуллин, Точка Зрения

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Мы в социальных сетях:
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/g0amdIcZt5I

Помощь проекту: https://vertdider.tv/to-support-us/

Картонка и рисунок — вот и всё, что нужно, чтобы запутать такой тонкий инструмент обработки информации, как наш мозг. В новом видео Дерек расскажет об оптической иллюзии, известной как «Окно Эймса» и объяснит, как окружающая обстановка заставляет нас видеть не то, что происходит, и расскажет, что ещё влияет на визуальное восприятие. Кстати, возможно, несколько первых месяцев жизни вы видели мир немножко больше таким, какой он есть.

Перевод: Алексей Малов
Редактура: Елена Смотрова
Озвучка: Дмитрий Чепусов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, , mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Roman Inflianskas, Vladimir Dementyev, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, Marat Bakirov, Ирина Завтонова, Anastasia, Andrew Rumak, 4k, Andrey Istomin, Марина Малинкина, Dmitry Khlan, Галина Баринова, Yaroslav Kyrylchuk, Познающий, Ирина Анатольевна Чулкова, kotov.p, Pavel Golovin, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Nadia Kilgishova, Sultan Ishankulov, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky


Сайт студии: http://vertdider.tv

Мы в социальных сетях:
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— https://t.me/vertdider
— https://twitter.com/Vert_Dider
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/dBap_Lp-0oc

Помощь проекту: https://www.patreon.com/VertDider

Правоохранительные органы США теперь умеют искать подозреваемых по образцам генетического материала с места преступления, даже если информации о найденной ДНК нет ни в одной базе. Если какой-нибудь дальний родственник сделал генетический тест и разрешил доступ к исходным данным — этого будет достаточно. Таким образом можно раскрывать страшные преступления, но сам метод вызывает серьёзные опасения у сторонников неприкосновенности личных данных. В том, где проводить границу между безопасностью и приватностью, пытается разобраться Дерек Маллер в новом видео.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Гор Гиноян
Озвучка: Дмитрий Чепусов, Юрий Катарманов, Алексей Никитин, Дмитрий Машкович, Алёна Соколова
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider
Озвучки Vert Dider выходят с вашей помощью:

Maria Zvereva, Pavel Dunaev, Nick Denizhenko, Oleksii Leonov, Yegor Barakovskiy, Mikhail Stolpovskiy, Kirill Seleznev, Dmitrii komarevtsev, toshego, Sergey Skrypnyk, Illarion Petrov, Andrew Dzhur, Евгений Колмаков, Andrey Chizh, Linar Khusnullin, Дмитрий Глазнев, Кирилл Л, Anton Borkovski, Ilya, smiler, Антон Малинин, Roman Inflianskas, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Евгений Сельменев, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Katoto Chan, Anton Makiievskyi, Ivan Bondarenko, Kristopher Nolan, Alexander Kulikov, KIM TKHE SIK, Полина Маркина, Евгений, Сергей Андреев, Leonid Korobov, mol9ko, Аддон, Irina Slavgorodskaya, Arthur Skobara, 666.13FM, Andrew Rumyantsev, Marianna Sumina, Мария Баранова, Maxim Arkushin, Дмитрий, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Лиля Малкова, Natalie Kulinicheva, Marat Bakirov, Ирина Завтонова, Anastasia, Andrey Istomin, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, Анна Троссман, Serj Skidan, L Marchenko, Nadia Kilgishova, Andrey Rusanov, Inna Klymenko, Dmitriy Lashtaba, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ihar Marozau, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Otto Kester, Claudia Barzaeva, Lirin Alex, Konstantin Pesyakov, Viktoria, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky, angel

#VertDider #Veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/KT18KJouHWg

Помощь проекту: https://vertdider.tv/to-support-us/

Правда ли, что с любым жителем Земли мы связаны всего через шесть человек? Как ни странно, под этой теорией скрывается гораздо больше научной базы, чем кажется на первый взгляд.

Перевод: Алексей Лоскутов
Редактура: Юлия Яковлева
Озвучка: Дмитрий Чепусов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов

#VertDider #Veritasium #НилДеграссТайсон

Спасибо за поддержку на https://www.patreon.com/VertDider
Озвучки Vert Dider выходят с вашей помощью:

Maria Zvereva, Pavel Dunaev, Nick Denizhenko, Oleksii Leonov, Yegor Barakovskiy, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Дмитрий, Roman Inflianskas, Vladimir Dementyev, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Роман Чурин, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Максим 'Sheridan' Горлов, Katoto Chan, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Julia, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Лиля Малкова, Natalie Kulinicheva, Ilya Afanasyev, Marat Bakirov, Ирина Завтонова, Anastasia, Aliaksandr Sheliutsin, Andrew Rumak, Andrey Istomin, Марина Малинкина, Dmitry Khlan, Yaroslav Kyrylchuk, Ирина Анатольевна Чулкова, Pavel Golovin, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Nadia Kilgishova, Sultan Ishankulov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Виталий Пастушенко, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky

Сайт студии: http://vertdider.tv​

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Разрешение на публикацию: https://vertdider.tv/permissions-for-publication/
© https://www.youtube.com/user/1veritasium​
Источник: https://youtu.be/TcxZSmzPw8k

1. Деякі пігменти вибірково поглинають УФ, тому вони можуть здаватися світлими у видимому світлі, але темними в УФ. Зазвичай пігменти розсіюють УФ-енергію як тепло, але також може відбуватися розрив внутрішньомолекулярних зв’язків.
2. Флуоресцентні молекули поглинають УФ випромінювання і повторно випромінюють цю енергію як видиме світло. Це робить їх темними в УФ діапазоні, і змушує світитися видимим світлом під дією УФ випромінювання.
3. Ультрафіолетове світло розсіюється сильніше, ніж видиме світло, оскільки довжина хвилі менша, а релеївське розсіювання обернено пропорційне довжині хвилі в четвертому степені.

✅Текст читали: Ігор Анісімов (AdrianZp) та Мар’яна Янкевич (MariAm Blog).
✅Переклад, редагування, субтитрування, монтаж: Віталій Шевчук | Цікава наука.

❕Підтримайте "Цікаву науку" на https://www.patreon.com/join/CikavaNauka або
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© Оригінальне відео: https://www.youtube.com/watch?v=V9K6gjR07Po
© Канал Veritasium: https://www.youtube.com/user/1veritasium
© Музика у заставці: VasЯ OMG - PATSYKI Z FRANEKA (з дозволу авторів): https://www.youtube.com/watch?v=OC62zWk28QA
#SciTube #ЦікаваНаука #WatchUA

References:
Overview of main UV effects:
Visualizing Rayleigh Scattering through UV Photography
https://watermark.silverchair.....com/bams-d-14-00260_
Arctic animals are photographed in the UV to increase visibility and get an accurate count:
Lavigne, D. (1976). Counting Harp Seals with ultra-violet photography. Polar Record, 18(114), 269-277. doi:10.1017/S0032247400000310
Absorption spectrum of melanin: https://www.cl.cam.ac.uk/~jgd1000/melanin.html
"The spectroscopy of human melanin pigmentation," by N. Kollias. In: Melanin: Its Role in Human Photoprotection, pp. 31 - 38. Valdenmar Publishing Co. (1995).
"Optical properties of human sclera, and their consequences for transscleral laser applications," by A. Vogel, C. Dlugos, and R. Nuffer, Lasers in Surgery and Medicine 11(4), pp. 331 - 340 (1991).
"The incidence and time-course of latanoprost-induced iridial pigmentation as a function of eye color," by P. Wistrand, J. Stjernschantz, and K. Olsson, Survey of Ophthalmology 41(S2), pp. S129 - S138 (1997).

Watch Sample Class Recording:
http://www.edureka.co/big-data-and-hadoop?utm_source=youtube&utm_medium=referral&utm_campaign=hive-tut1

Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible
file systems. Hive structures data into well-understood database concepts such as tables, rows, columns and partitions.

The video talks about the following points :

1. What is Hive
2.Why to use Hive.
3.Where to use hive and not Pig.
4.Hive Architecture
5.Hive Components.
6.How facebook Uses hive.
7.Limitations of hive
8.Hive Types.


Related Blog Posts:
http://www.edureka.co/blog/hive-data-models/?utm_source=youtube&utm_medium=referral&utm_campaign=hive-tut1

http://www.edureka.co/blog/pig-vs-hive/?utm_source=youtube&utm_medium=referral&utm_campaign=hive-tut1

http://www.edureka.co/blog/introduction-to-pig/?utm_source=youtube&utm_medium=referral&utm_campaign=hive-tut1


Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning
environment, accessible from any part of the world.

All topics related to ‘What is Hive’ have extensively been covered in our course ‘Big Data and Hadoop’.
For more information, please write back to us at [email protected]
Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004

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This Edureka "Power BI Python Tutorial" video will help you to understand the value brought by the integration of the Python into Power BI Desktop and how it provides a powerful tool for transforming and presenting business intelligence data.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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( Informatica Tutorial - https://www.edureka.co/informatica )
This Edureka Informatica tutorial helps you understand Informatica PowerCenter in detail. This Informatica tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Informatica concepts. Check our Informatica playlist here https://goo.gl/TmX6Fv.
Informatica Tutorial Blog Series: https://goo.gl/HkKAVi

This video helps you to learn following topics :

1. ETL Using Informatica PowerCenter
2. The Information Economy
3. ETL - an Overview
4. The Informatica Platform
5. Why Informatica
6. Informatica Partners and Customers
7. Informatica Architecture Overview and Components
8. Use Case 1 - Loading Product Dimension table using slowly changing dimension (SCD)
9. Use Case2 - Popular Sales Summary table using Incremental aggression
10. Job Trends
11. Scope of this Course

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How it Works?
1. This is a 6 Week Instructor led Online Course, 25 hours of assignment and 20 hours of project work
2. We have a 24x7 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 Informatica PowerCenter Certification training is designed to help you become a top Informatica Developer and Administrator. During this course, our expert Informatica instructors will help you:

1. Understand and identify different Informatica Products
2. Describe Informatica PowerCenter architecture & its different components
3. Use PowerCenter 9.x components to build Mappings, Tasks, Workflows
4. Describe the basic and advanced features functionalities of PowerCenter 9.X transformations
5. Understand Workflow Task and job handling
6. Describe Mapping Parameter and Variables
7. Perform debugging, troubleshooting, error handling and recovery
8. Learn to calculate cache requirement and implement session cache
9. Execute performance tuning and Optimisation
10. Recognise and explain the functionalities of the Repository Manager tool.
11. Identify how to handle services in the Administration Console
12. Understand techniques of SCD, XML Processing, Partitioning, Constraint based loading and Incremental Aggregation
13. Gain insight on ETL best practices using Informatica

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Who should go for this course?

The following professionals can go for this course :
1. Software Developers
2. Analytics Professionals
3. BI/ETL/DW Professionals
4. Mainframe developers and Architects
5. Individual Contributors in the field of Enterprise Business Intelligence

- - - - - - - - - - - - - - - -

Why learn Informatica?

Informatica provides the market's leading data integration platform. Tested on nearly 500,000 combinations of platforms and applications, the data integration platform interoperates with the broadest possible range of disparate standards, systems, and applications. This unbiased and universal view makes Informatica unique in today's market as a leader in the data integration platform. It also makes Informatica the ideal strategic platform for companies looking to solve data integration issues of any size.

The topics related to Informatica have extensively been covered in our course 'Informatica PowerCenter 9.X Developer & Admin’.

For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

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🔥Edureka Data Science Certification Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka Live session on 'Linear Regression In Machine Learning' covers an introduction to Linear Regression with practical implementation using a custom data set. Following are the topics of discussion:

What is Regression In Machine Learning?
Types Of Regression
What is Linear Regression?
Linear Regression Terminologies
Advantages And Disadvantages
Linear Regression Use Cases
How To Implement Linear Regression Using Python

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🔹Blog Series: http://bit.ly/2sqmP4s

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#edureka #edurekaMachineLearning #linearregressioninmachinelearning #linearregressioninpython #machinelearning #linearregression #mlalgorithms #machinelearningtraining
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How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a 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 the python programming language. Furthermore, you will be taught of 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 the python programming language to enhance your learning experience.

Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables 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.

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 the future, living the present
Who should go for this Machine Learning Certification Training using Python?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.
00:00:00 Agenda
00:01:10 What is Classification
00:01:45 Classification vs Regression
00:02:18 Types of Classification Algorithms
00:02:33 Understanding Random Forest
00:02:38 What is Random Forest
00:03:12 Why Random Forest
00:03:31 Terminology Alert-What is Ensemble Learning
00:08:15 Ensemble Mode- Bagging
00:09:20 Ensemble Mode Technology Alert- Boosting
00:10:21 Random Forest Analogy
00:13:40 What is Random Forest
00:14:05 Creating a Random Forest: Steps Involved
00:14:48 Step 1: Creating a Bootstrap Dataset
00:15:49 Stewp2:Create Decision Tree: Bootstrapped Dataset
00:17:07 Step 3 & 4: Counting the votes for predicting
00:17:21 How Good is your Model
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬---------

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🌕 RPA Developer Masters Program: https://bit.ly/3JgqQ0g
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🌕 Full Stack Developer Masters Program : https://bit.ly/3NUlVGb
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🌕 Python Developer Masters Program : https://bit.ly/3j8YYkg
🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax

--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH

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⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a 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 the python programming language. Furthermore, in this Machine Learning with Python Training, 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 this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.

🔥 Python Certification Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka Video on Machine Learning Algorithms will give you a basic understanding of the Machine Learning Algorithm with examples. In this video, you will also get to see a demo on ML using Python.

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---------------------Edureka Online Training and Certification--------------------

🔵 DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

---------------------------------Edureka Masters Programs------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

-----------------------------Edureka PGP Courses----------------------------------------

🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
🟣CyberSecurity PGP: https://bit.ly/3eHvI0h
🔵Digital Marketing PGP: https://bit.ly/38cqdnz
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#Edureka #PythonEdureka #LogisticRgression #LogisticRegressionusingPython #Python #PythonTraining #learnPython #withMe

------------------------------------------------------------------------------------------

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 24x7 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. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.


For more information, Please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

🔥Edureka Machine Learning Engineer Masters Program: https://www.edureka.co/masters....-program/machine-lea

00:00 Introduction
00:31 Agenda
00:56 Introduction to Machine Learning
02:27 Machine Learning-the subset
03:00 Machine Learning- How?
04:26 Machine Learning-Generalization
04:58 Machine Learning- An Example
06:07 Who is a Machine Learning Engineer
07:03 Machine Learning Engineer-Goals
07:54 What does a Machine Learning Engineer Do?
09:15 Comparison
11:15 Roles and Responsibilities
13:00 Skills of a ML Engineer
16:15 Companies hiring ML Engineers
16:54 Future of Machine Learning

This Edureka session on "Machine Learning Engineer Career Path 2021" is part of the Machine Learning Tutorial which covers all the basic aspects of becoming a certified Machine Learning Engineer. It establishes concepts like roles, responsibilities, skills, salaries, and even trends to get you up to speed with Machine learning.

Machine Learning Tutorial Playlist: http://bit.ly/2taym8X
Machine Learning Tutorial Blog Series: http://bit.ly/38zIs74

#Edureka #MachineLearningEdureka #machinelearningengineer #mlengineer #mltutorial #machinelearningtutorial #machinelearning

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Edureka's Machine Learning Master's Program

🟠 Python Programming Certification Course: https://www.edureka.co/python-....programming-certific
🔵Machine Learning Certification Training using Python: https://www.edureka.co/machine....-learning-certificat
🟠Graphical Models Certification Training: https://www.edureka.co/graphical-modelling-course
🔵Reinforcement Learning: https://www.edureka.co/reinfor....cement-learning-cour
🟠Natural Language Processing with Python Certification: https://www.edureka.co/python-....natural-language-pro
🔵Deep Learning with TensorFlow 2.0 Certification Training: https://www.edureka.co/ai-deep....-learning-with-tenso
🟠Python Spark Certification Training using PySpark: https://www.edureka.co/pyspark....-certification-train

🟠 Elective Course 🟠
Python Scripting Certification Training: https://www.edureka.co/python-scripting

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--------------------------------------------
About the Machine Learning Master's Program

Machine Learning Engineer Masters Program has been curated after thorough research and recommendations from industry experts. It will help you master concepts of Neural Networks in depth along with other concepts like Python Programming, Artificial Intelligence, Machine learning, Deep Learning, NLP, Graphical Modelling and Reinforcement Learning along with hands-on experience of tools and systems used by the Industry experts. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.


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Why learn Machine Learning with Python?

Edureka's Machine Learning Masters Program 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.
--------------------------------------
What will you learn in Python Machine Learning Training?

Topics covered but not limited to will be: Python Programming, PySpark, HDFS, Spark SQL, Machine Learning Techniques and Artificial Intelligence Types, Tokenisation, Named Entity Recognition, Lemmatisation, 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.

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Who should go for this Machine Learning Certification Training using Python?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
--------------------------------------

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm! In this Machine Learning Algorithms Tutorial video you will understand:
0:00 Introduction
0:12 Agenda for Today's Session
1:11 What is an Algorithm?
2:07 Algorithm - Example
4:19 What is Machine Learning?
6:14 Unsupervised Learning
12:07 Reinforcement Learning
16:19 How a problem is solved using Machine Learning?
19:08 Classification Algorithms
20:33 Anomaly Detection Algorithms
21:44 Regression Algorithms
22:49 Clustering Algorithms
24:10 Reinforcement Algorithms
27:02 Dataset
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

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🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax

--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a 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 the python programming language. Furthermore, in this Machine Learning with Python Training, 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 this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.

🔥 Full-Stack Web Development Internship Program: http://bit.ly/fs-internship

This Edureka Python Flask tutorial will cover all the fundamentals of Flask. It will also explain how you can develop your own website using Flask in Python.

00:26 - Agenda
00:49 - Introduction to Flask
03:14 - Installing Flask
05:40 - Flask Application
09:36 - Routing in Flask
10:56 - Variable Rules in Flask
15:29 - URL Binding in Flask
17:26 - HTTP Methods using Flask
20:56 - Templates in Flask
25:00 - Static Files in Flask
26:22 - Request Objects in Flask
27:36 - Cookies in Flask
30:12 - Redirects and Errors in Flask
32:08 - Flask Extensions
34:05 - Conclusion


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Python Certification Training: https://www.edureka.co/data-sc....ience-python-certifi

#edureka #FlaskTutorial #PythonFlask #WebDevelopmentTutorial

Check out our Python Tutorial Playlist: https://goo.gl/WsBpKe

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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 24x7 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 a 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 the 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 [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

🔥Edureka Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
This Edureka session on Machine Learning with Tree-Based Models in Python will help you understand the Bagging & Boosting concepts in detail.

00:00:00 Agenda
00:02:52 What is Machine Learning
00:07:46 Machine Learning Types
00:11:42 Machine Learning Algorithms
00:16:17 Classification Algorithms
00:17:45 Regression Algorithms
00:19:19 Classification vs Regression
00:19:46 Introduction to CART Algorithm
00:20:18 CART- Classification and Regression Trees
00:25:55 CART-GOAL
00:27:17 CART-TRICK
00:29:01 CART-Gini Impurity
00:34:05 CART- Decision Tree Built
00:35:25 Introduction to Decision Tree

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------------------------------------Edureka Online Training and Certification---------------------------------

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-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
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🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
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-----------------------------------------Edureka PGP Courses---------------------------------------------------

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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.

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For online Data Science training write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).