🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐇𝐚𝐜𝐤𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐂𝐄𝐇 𝐯𝟏𝟐 : https://www.edureka.co/ceh-eth....ical-hacking-certifi
This Edureka "What is Kali Linux" tutorial will help you understand basics of Kali Linux. You will also get to learn the features of Kali Linux and option available to install Kali Linux

📢📢 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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------------------------------------------------------------------------
#veritasiumenespañol #ciencia #matemática #física #química #universo #conocimiento #viral

This is what a nuclear disaster area looks like.
Check out Audible: http://bit.ly/AudibleVe
Broadcast locations and times:

North America: PBS, July 28 & 29 @ 10pm ET / 9pm Central
Europe: ZDF/arte, July 31 @ 10pm
Australia: SBS, August 6, 13, 20 @ 8:30pm EST

Not broadcast in your country? Contact your local broadcaster and/or email www.genepoolproductions.com

Music by Kevin Macleod http://incompetech.com 'Come Play With Me' & 'Lost Frontier'

Cell biology gives clues to why we age and lobsters don't.
I made another video! The future of energy: http://bit.ly/1MAiJKm
Check out Breakthrough, Sundays at 9/8c on Nat Geo with GE #ad

Animations are from Emmy-winning film 'Immortal', reproduced here courtesy of December Media and Genepool Productions (previously Pemberton Films)

Check out Immortal here: http://bit.ly/VeImmortal

Find out more about telomeres and telomerase here: http://bit.ly/WakeTelomeres

Special thanks to Dr. Fiona Ginty, Principal Scientist in the Life Sciences and Molecular Diagnostics Group at GE. Her research focuses on imaging different proteins within the cell. It's both a very powerful technique and it's beautiful.

Filmed by Raquel Nuno and Vasilios Sfinarolakis
Aging makeup by Heather Grippaldi: http://bit.ly/1Xebikh
Music by Kevin MacLeod, www.incompetech.com "Past the Edge" and "Lightless Dawn"

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

Могут ли закончиться места в отеле, где бесконечно много номеров? Звучит парадоксально, но могут, ведь некоторые бесконечности больше других. Об этом расскажет Дерек Маллер в новом видео Veritasium.

#VertDider #Veritasium

Перевод: Алексей Малов
Редактура: Елена Смотрова
Озвучка: Дмитрий Чепусов
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, Ігор Дорохов, Mikhail Stolpovskiy, Антон Малинин, Дмитрий, Roman Inflianskas, 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, Anton Makiievskyi, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Julia, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, 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, Vadim Velicodnii, 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, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Виталий Пастушенко, Claudia Barzaeva, Monza UA, Lirin Alex, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, 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://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium
Источник: https://youtu.be/OxGsU8oIWjY

Поддержать проект можно по ссылкам:
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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
Озвучки Vert Dider выходят с вашей помощью:

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

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
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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:
Если вы в России: https://boosty.to/vertdider
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Пульсирующая черная дыра в центре отдаленной галактики проливает свет как на черные дыры в целом, так и на образование галактик. Как быстро черные дыры вращаются, и как это вращение меняется на протяжении всей их жизни?

Перевод: Юлия Яковлева
Редактура: Алексей Лоскутов
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов
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, JIukaviy, Куляш, Dmitrii Komarevtsev, Мikhail Samin, Roman Inflianskas, Oleg Zingilevskiy, Alena, Vitaliy Vachynyuk, Ника Калмыкова, opperatius, Aleksandr P., Pavel Parpura, Katoto Chan, Anton Bolotov, Anatoly Ressin, Eugene Tsaplin, angel, Artem Amirbekov, Victor Cazacov, Kirill Zaslavskii, Vladyslav Sokolenko, Alexander Balynskiy, Dzmitryi Halyava, Ihar Marozau, Kseniya Stukova, POD666, Aleksei Shabalin, Irina Shakhverdova, Vadim Velicodnii, David Malko, Nastya, Evgeny Vrublevsky, Stanislav Obrazcoff, Kirill Vedensky, Валентин Матвейчик, Leonid Steinberg, Alexander Goida, Katya Ma, Morock_D, Sergey P, Ilya, Oleksandr Hrebeniuk, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Nikrodol, Lexx, Rincewind, Alexander Lebedev, Roman Gelingen, Sonra44, Сергей Клопов, Ranis Zaripov, Timophey Popov, MaximML , Rekvet, Илья Зверев, Никита Омельницкий, Timur Rahmatulin, Иван Новиков, Арс Ник, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Точка Зрения, SpireX, Maxim Khaustov, Р Ч.

#VertDider #Veritasium

Сайт студии: http://vertdider.tv

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— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/fu3645D4ZlI

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Аэрогели — самые легкие твердые материалы в мире. Они также обладают чрезвычайно низкой теплопроводностью и используются для термоизоляции на марсианских роверах и как ловушки для частиц из хвоста кометы. В этом видео речь пойдёт про аэрогель из оксида кремния, хотя есть аналогичный материал и легче — из графена.

Перевод: Алексей Малов
Научная редактура: Леонид Вокин
Редактура: Елена Смотрова
Озвучка: Вадим Казанцев, Андрей Черников, Сергей Васильев, Александр Пилипчак
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов

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

Ekaterina Kukushkina, Mikhail Stolpovskiy, Oleksii , Oleg Ostroukhov, Boris Bendikov, Dina vysotskaya, Animara , Sergei W, Felix , Katoto Chan, Kosoy , Максим Sheridan' Горлов, Anton Makiievskyi, Makovskyj Danilo, , , Дмитрий Мисюра, Руслан Островский, Александр Фалалеев, Soz Nov, Dmitriy Omelyansky, Olga Shistareva, Alex Katkov, Жанна Голухова, Пётр , Kamerton_440 , space monkey, Vladimir Goshev, Vladyslav Sokolenko, Елизавета , Tanya Lukashevich, Иван Дьяченко, Yevhen , Артём Маликов, Aleksei Masliukov, Вершинский Вадим, Ruslan Akhmerov, Vladimir Gavriushov, Maria Burtseva, Aleksey Sazonov, Irina Shakhverdova, Evgenii Bakhmet, Никита Рыжков, Evgeny Vrublevsky, Anna Gerasimenko, Mush Rain, Alexey , Gurov D.A., Evgeniy , Alexander Kalashnikov

Сайт студии: http://vertdider.com

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Источник: https://youtu.be/AeJ9q45PfD0
Разрешение на публикацию: https://goo.gl/6n4dT7
© https://www.youtube.com/user/1veritasium

La gente ha sido testigo de las supernovas desde hace milenios, pero ¿qué tipo de amenaza posan para el planeta Tierra? Este video es patrocinado por Brilliant. Puedes comenzar gratis, o las primeras 200 personas en suscribirse vía https://brilliant.org/veritasium obtendrán un 20% de descuento.

Agradecemos enormemente al Prof. Hans-Thomas Janka por ayudarnos con la física de una supernova y GRBs. También al Prof. Brian Thomas por toda su ayuda con los efectos terrestres de las supernovas y GRBs. Este video no hubiera sido posible sin ninguno de ellos. Además al Dr. Luke Barnes por su ayuda inicial en la investigación de la literatura relacionada.

El dato sobre la bomba de hidrogeno vs la supernova fue sacado de este gran artículo por xkcd/Randall Munroe - https://what-if.xkcd.com/73/ (based on the calculation by Andrew Karam, 2002)

El video de la burbúja cósmica de: https://www.cfa.harvard.edu/ne....ws/1000-light-year-w

Referencias: Melott, A. et al. (2019). Hypothesis: Muon radiation dose and marine megafaunal extinction at the End-Pliocene supernova. Astrobiology, 19(6), 825-830. – https://ve42.co/Melott1

Thomas, B. C. et al. (2016). Terrestrial effects of nearby supernovae in the early Pleistocene. The Astrophysical Journal Letters, 826(1), L3 – https://ve42.co/Thomas1

Melott, A. L., & Thomas, B. C. (2019). From cosmic explosions to terrestrial fires?. The Journal of Geology, 127(4), 475-481. – https://ve42.co/Melott2

Fields, B. et al. (2019). Near-Earth supernova explosions: Evidence, implications, and opportunities. arXiv preprint arXiv:1903.04589. – https://ve42.co/Fields1

Thomas, B. C., Atri, D., & Melott, A. L. (2021). Gamma-ray bursts: not so much deadlier than we thought. Monthly Notices of the Royal Astronomical Society, 500(2), 1970-1973. – https://ve42.co/Thomas2

Melott, A. et al. (2004). Did a gamma-ray burst initiate the late Ordovician mass extinction?. International Journal of Astrobiology, 3(1), 55-61. – https://ve42.co/Melott3

Firestone, R. B. (2014). Observation of 23 supernovae that exploded less than 300 pc from Earth during the past 300 kyr. The Astrophysical Journal, 789(1), 29. – https://ve42.co/firestone1

Janka, H. T. (2017). Neutrino emission from supernovae. arXiv preprint arXiv:1702.08713. – https://ve42.co/Janka1

Janka, H. T., & Hillebrandt, W. (1989). Neutrino emission from type II supernovae-an analysis of the spectra. Astronomy and astrophysics, 224, 49-56. – https://ve42.co/Janka2

Janka, H. T. (2017). Neutrino-driven explosions. arXiv preprint arXiv:1702.08825. – https://ve42.co/Janka3

Karam, P. A. (2002). Gamma and neutrino radiation dose from gamma ray bursts and nearby supernovae. Health physics, 82(4), 491-499. – https://ve42.co/Karam1

Melott, A. L., Thomas, et al.. (2017). A supernova at 50 pc: effects on the Earth's atmosphere and biota. The Astrophysical Journal, 840(2), 105. – https://ve42.co/Melott4

Ludwig, P., et al. (2016). Time-resolved 2-million-year-old supernova activity discovered in Earth’s microfossil record. Proceedings of the National Academy of Sciences, 113(33), 9232-9237. – https://ve42.co/Ludwig1

Gritschneder, et al. (2011). The supernova triggered formation and enrichment of our solar system. The Astrophysical Journal, 745(1), 22. – https://ve42.co/Gritschneder1

Motizuki, Y., Takahashi, et al. (2009). An Antarctic ice core recording both supernovae and solar cycles. arXiv preprint arXiv:0902.3446. – https://ve42.co/Motizuki

Zucker, C. et al. (2022). Star formation near the Sun is driven by expansion of the Local Bubble. Nature, 601(7893), 334-337. – https://ve42.co/Zucker1

Hirata, K. et al.(1987). Observation of a neutrino burst from the supernova SN1987A. – https://ve42.co/Hirata1

Hayes, L. A., & Gallagher, P. T. (2022). A Significant Sudden Ionospheric Disturbance Associated with Gamma-Ray Burst GRB 221009A. Research Notes of the AAS, 6(10), 222.

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Как спонтанный порядок возникает из хаоса? Дерек расскажет про явления синхронизации в нашей жизни. На примере с резонансом на новеньком мосту в Лондоне в 2000м году, когда, казалось бы, все проектировщики в курсе про то, как синхронный марш может разрушить мост. Объяснит, как синхронизируются метрономы на подвижной платформе. Как идеально соотносятся периоды вращения спутников вокруг планет на примере Юпитера. Про реакцию Белоусова-Жаботинского, как яркий пример химической автоколебательной реакции. А также как понимание явления синхронизации может помочь при сердечных аритмиях. И что помимо применения редукционизма науке важно научиться объединять составные части явлений и понимать их работу, как единого целого, которая обычно не равна просто сумме его частей.

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Каждый, кому хотя бы раз приходилось сталкиваться с фунтами и унциями, наверняка задавался вопросом: почему США не перейдёт на метрическую систему?! Дерек Маллер пообщался на эту тему с одним из сотрудников Национального института стандартов и технологий. Оказалось, ситуация странная, и, похоже, ваше возмущение вполне уместно.

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Озвучка: Вадим Казанцев, Сергей Васильев
Монтаж звука: Андрей Фокин
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Обложка: Эльдар Нургалиев

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Вероятно, многие из вас не раз пытались «начать новую жизнь» с первого января: давали себе обещания, ставили большие цели, хотели кардинально что-то изменить. Столь же вероятно, что у вас это не получалось или, по крайней мере, было очень тяжело. Не отчаивайтесь, этой проблеме посвящено не одно исследование, и Дерек Маллер сделал целое видео о том, как, используя научный подход, пообещать себе что-нибудь на Новый год и сдержать данное самим себе слово.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Озвучка: Вадим Казанцев
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Эльдар Нургалиев

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Oleksii, Mikhail Stolpovskiy, Ігор Дорохов, Кирилл Басалык, Boris Bendikov, Dina vysotskaya, Sergei W, Михаил Панькин, Felix Kosoy Максим Sheridan' Горлов, Anton Makiievskyi, Vladimir Grachev, Denis Titusov, Spartak Kagramanyan, Dmitriy Omelyansky, Konstantin Pesyakov, Olga Shistareva, Alex Katkov, Yehor Melnykov, Alexey Kukushkin, Пугачёв Пётр, Viktoria Kamerton_440 Alexandr Globov, space monkey, Vladimir Goshev, Fleur Gai, Vladyslav Sokolenko, Елизавета Pavel D, Иван Дьяченко, Olga Podolskaya, Yevhen Aleksei Masliukov, Eugene Tsaryk, Vladimir Gavriushov, Maria Burtseva, Aleksey Sazonov, Irina Shakhverdova, Anton Bolotov, Evgeny Vrublevsky, Katya Prokopchuk, Alterien

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🔥Data Scientist Masters Program: https://www.edureka.co/masters....-program/data-scient
This Edureka video on "What is Data Science" will introduce you to the concepts of Data Science and how it is used to solve real-world problems. Data science is the process of using the data to find solutions / to predict outcomes of a problem statement.
00:00 Introduction
00:24 Agenda
01:16 Data Science
03:28 Walmart Use Case
05:39 What is Data Science
07:36 Problems Solving in Data Science
19:55 Categories of Algorithms
20:06 Supervised Learning
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About the Master's Program

This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles.

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Topics Covered in the curriculum:

Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc.

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🔥NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka video on Machine Learning Algorithms Explained 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!

🔷🔸𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿🔸🔷
Name: Mr. Arnab Ganguly
Details:
1. Director at Capgemini for Data Science, AIML.
2. 20+ years of diverse experience in Business Excellence, Consulting and Predictive Analytics
3. An Alumnus of IIT, Bombay

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----------------------------------------------
Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
-----------------------------------------------
PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
-----------------------------------------------
Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
-----------------------------------------------
Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
--------------------------------------------
Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

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

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on Machine Learning Steps will help you understand, what are the various steps involved in while developing a Machine Learning Model. By the end of this video you will be able to implement a Machine Learning Pipeline. These are the following topics that are covered in this Machine Learning Steps video:
00:00:00 Introduction
00:00:47 Why Machine Learning?
00:02:04 What is Machine Learning?
00:04:36 Machine Learning PipeLine
00:08:51Demo: Implement a Machine Learning Pipeline

🔹Checkout Edureka's Machine Learning Python Tutorial playlist: https://bit.ly/3szLTCO
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--------------Edureka Masters Programs--------------

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🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb

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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 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 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 python programming language to enhance your learning experience.
--------------------------------------

Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables 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.
-----------------------------------

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp

This Edureka video on Machine Learning Algorithms Explained 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!

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

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

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

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🟣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 Post Graduate Courses-------------------------------------------

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#edureka #MachineLearningEdureka #machineLearningAlgorithms #MachinelearningTutorial #machineLearningPython #LearnMachineLearning #withMe
----------------------------------------------
Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
-----------------------------------------------
PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
-----------------------------------------------
Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
-----------------------------------------------
Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
--------------------------------------------
Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

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