This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same!

In this SAS Tutorial video you will understand:

1) Why Data Analytics?
2) What is Data Analytics?
3) Data Science Analytics Tools
4) Why SAS?
5) What is SAS?
6) What SAS Solves?
7) Components of SAS
8) How can we practice Base SAS?
9) Demo

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Check our complete SAS Training playlist here: https://goo.gl/MMLyuN

#SASTraining #SASTutorial #SASCertification

How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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About the Course

The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros.

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Why Learn SAS?

The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts.

SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.

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Who should go for this course?

This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for:

1. Analytics professionals who are keen to migrate to advanced analytics
2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist
3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics
4. Testing professionals to move towards creative aspects of data analytics
5. Mainframe professionals
6. Software developers and architects
7. Graduates aiming to build a career in Big Data as a foundational step

Please write back to us at sales@edureka.co or call us at +918880862004 or 18002759730 for more information.

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Existe toda una rama de las matemáticas dedicada simplemente a los nudos… y ha cambiado el mundo. Te ayudaremos, puedes ir a https://brilliant.org/veritasium para comenzar tu prueba gratuita de 30 días y las primeras 200 personas obtendrán un 20 % de descuento en una suscripción premium anual.

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Muchas gracias al Prof. Colin Adams por su excelente ayuda al guiarnos a través del mundo de los nudos.
Muchas gracias al Prof. Doug Smith, Dorian Raymer, el Prof. David Leigh y la Prof. Dorothy Buck por ayudarnos a comprender las aplicaciones de la teoría de nudos.
Muchas gracias al Prof. Dan Silver y al Prof. Jim Hoste por hablar con nosotros sobre la historia y la tabulación de nudos.

Si quieres aprender más sobre los nudos y jugar con ellos tú mismo, consulta:
La increíble herramienta KnotPlot: https://knotplot.com/. ¡Gracias a Rob Scharein por brindarnos ayuda técnica también!
Una tabla de nudos y todas sus invariantes: https://knotinfo.math.indiana.edu/
Knot Atlas para obtener información general sobre nudos: http://katlas.org/wiki/Main_Page

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Imágenes y vídeo:
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Páginas del Libro de Kells a través del National Trust of Scotland: https://ve42.co/BookOfKells
Diseños celtas medievales de @thebookofkellsofficial a través de Instagram - https://ve42.co/KellsInsta
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Cables Quipu de Pi3.124 vía Wikimedia Commons - https://ve42.co/Quipu
Heráldica de Borromeo a través de Terre Borromeo - https://ve42.co/Borromeo
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Estructura de rayos X del nudo trébol por Ll0103 a través de Wikimedia Commons - https://ve42.co/XrayTrefoil
Animación de bacterias de Your Body's Molecular Machines por Drew Berry a través del Instituto de Investigación Médica Walter y Eliza Hall - http://wehi.tv
Topoisomerasa y nudos de Orlandini et al. Sinergia de la topoisomerasa. PNAS, vol. 116, núm. 17, 2019, págs. 8149–8154. – https://ve42.co/Orlandini2019
KnotProt 2.0: una base de datos de proteínas con nudos y nudos corredizos - https://ve42.co/Knotprot

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Dirigido por Emily Zhang
Escrito por Emily Zhang y Derek Muller
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Sewing machines are mechanical marvels – here’s how they work. Get your first month of KiwiCo FREE at https://www.kiwico.com/veritasium

If you’re looking for a molecular modeling kit, head to https://ve42.co/SnatomsV to try Snatoms – a kit I invented where the atoms snap together magnetically.

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A huge thanks to Prof. Andy Ruina for suggesting this video topic, guiding us in the research, and giving deeply insightful notes.

Massive thanks to Noah Johnson and Tina Vines for teaching Derek how to chain-stitch, and letting us shoot with your embroidery machine! Please check out https://www.instagram.com/stitchrite and https://www.instagram.com/tina_vines if you're interested in seeing more of their gorgeous chain stitch embroidery.

Thanks to Denny Stanley and the whole crew at Las Vegas Props for building the large replica model of the sewing machine. https://www.vegasprops.net

▀▀▀
References:
Parton, J. (1870). History of the Sewing-machine. Howe Machine Company, No. 38, N. Charles St.. -- https://ve42.co/Patron1870

Gregory, J. M. (2006). A History of the Sewing Machine to 1880. Transactions of the Newcomen Society, 76(1), 127-144. -- https://ve42.co/Gregory2006

How America Spends Money: 100 Years In the Life of the Family Budget, The Atlantic -- https://ve42.co/Budget1

Buckman, J. (2016). Unraveling the Threads: The Life, Death and Resurrection of the Singer Sewing Machine Company, America’s First Multi-National Corporation. Dog Ear Publishing.

Lewton, F. L. (1930). The servant in the house: a brief history of the sewing machine (Vol. 3056). US Government Printing Office. -- https://ve42.co/Lewton1930

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Produced by Petr Lebedev, Han Evans, and Derek Muller
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Помощь проекту: https://www.patreon.com/VertDider

Вероятно, вы слышали про мнимую единицу, или «i». Это число, которое при возведении в квадрат даёт -1 (минус один). Тем, кто из школьной программы помнит, что результат возведения в квадрат всегда положительный, это может показаться странным. Не переживайте, долгое время идея о квадратных корнях отрицательных чисел ставила в тупик величайших математиков. Тем не менее мнимые числа вошли в обиход и доказали свою пользу: с их помощью мы не только научились решать некоторые уравнения, но и получили возможность узнать чуть больше о том, как на самом деле устроена Вселенная. Историю их появления, как мы считаем, вполне достойную экранизации, расскажет Дерек Маллер в новом видео.

Если вам захочется окунуться поглубже именно в математическую сторону вопроса, рекомендуем также посмотреть видео от канала Welch Labs «Мнимые числа реальны»: https://youtu.be/kicp_odjsRs

Перевод: Алексей Малов
Редактура: Елена Смотрова
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
Озвучки Vert Dider выходят с вашей помощью:

Mikhail Stolpovskiy, Maria Zvereva, Pavel Dunaev, Nick Denizhenko, Oleksii Leonov, Yegor Barakovskiy, Татьяна, Мартынов Павел, Kirill Seleznev, Dmitrii komarevtsev, toshego, Sergey Skrypnyk, Illarion Petrov, Andrew Dzhur, Евгений Колмаков, Andrey Chizh, Linar Khusnullin, Дмитрий Глазнев, Ilya, smiler, Антон Малинин, Roman Inflianskas, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Евгений Сельменев, Ярослав Атрохов, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Katoto Chan, Anton Makiievskyi, angel, Сергей Назаров, Михаил Кузнецов, Lev Zaplatin, Ivan Egorov, Exordin, Victor Cazacov, Светлана Забегаева, Анастасия Ермилова, Ivan Bondarenko, Alexander Kulikov, KIM TKHE SIK, Kirill Zaslavskii, Полина Маркина, Tray Hard, Valeriy Dubrava, Евгений, Сергей Андреев, Leonid Korobov, mol9ko, Taleh Zaliyev, 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, Natalie Kulinicheva, Marat Bakirov, Ирина Завтонова, Anastasia, Andrey Istomin, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, Юрий Медведев, 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, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky

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

Вікно Еймса – це зображення, наприклад, на пласкому шматку картону, яке здається прямокутним вікном, але насправді є трапецією. Обидві сторони шматка картону мають однакове зображення. Картон підвішений вертикально на дроті, щоб він міг безперервно обертатися, або прикріплений до вертикальної осі, навколо якої неперервно обертається.
Під час обертання вікна здається, що обертання на мить зупиняється та змінює напрямок на протилежний. Тому воно не сприймається як безперервне обертання в одному напрямку, а натомість сприймається як коливання.
Кімната Еймса – приміщення неправильної форми, що використовується для створення тривимірної оптичної ілюзії. Була спроєктована американським офтальмологом Альбертом Еймсом в 1934 році й побудована в 1935 році.
Кімната Еймса побудована так, що спереду вона виглядає як звичайна кімната кубічної форми із задньою стінкою та двома боковими стінами, паралельними одна одній і перпендикулярними до горизонтальних площин підлоги і стелі. Проте дійсна форма кімнати трапецієподібна. [Wikipedia]

✅Текст читав: Андрій Горбунов (Lacuna)
✅Переклад, редагування, субтитрування: проєкт самоосвіти pre post, Віталій Шевчук (Цікава наука)

❕Підтримайте "Цікаву науку" на https://www.patreon.com/join/CikavaNauka або
💳 Приватбанк: 5168 7451 0521 3422
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© Оригінальне відео: https://www.youtube.com/watch?v=dBap_Lp-0oc
© Канал Veritasium: https://www.youtube.com/c/veritasium (з люб’язного дозволу автора)
© Researched and written by Petr Lebedev and Derek Muller
Filmed by Derek Muller and Raquel Nuno
Animations, VFX, and Music by Jonny Hyman
Ames Room VFX and additional Ames Window animation by Nicolas Pratt
© Derek Muller
#SciTube #ЦікаваНаука #WatchUA

References:
Ames, A., Jr. (1951). Visual perception and the rotating trapezoidal window. Psychological Monographs: General and Applied, 65(7), i–32. https://doi.org/10.1037/h0093600
Marcel de Heer & Thomas V. Papathomas (2017) The Ames Window Illusion and Its Variations
DOI:10.1093/acprof:oso/9780199794607.003.0014
Oross, Stephen, Francis, Ellie, Mauk, Deborah & Fox, Robert. (1987). The Ames Window Illusion: Perception of Illusory Motion by Human Infants. Journal of Experimental Psychology: Human Perception & Performance, 13(4), 609-613.
Behrens, R. (1987). The Life and Unusual Ideas of Adelbert Ames, Jr. Leonardo, 20(3), 273-279. doi:10.2307/1578173
Burnham, C., & Ono, H. (1969). Variables Altering Perception of the Rotating Trapezoidal Illusion. The American Journal of Psychology, 82(1), 86-95. doi:10.2307/1420609
Allport, G. W., & Pettigrew, T. F. (1957). Cultural influence on the perception of movement: The trapezoidal illusion among Zulus. The Journal of Abnormal and Social Psychology, 55(1), 104–113. https://doi.org/10.1037/h0049372
Zenhausern R. Effect of Perspective on Two Trapezoid Illusions. Perceptual and Motor Skills. 1969;28(3):1003-1009. doi:10.2466/pms.1969.28.3.1003

🔥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!

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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.
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( ** Deep Learning Training: https://goo.gl/4it6DE ** )
This Edureka PyTorch Tutorial video (Blog: https://goo.gl/4zxMfU) will help you in understanding various important basics of PyTorch. It also includes a use-case in which we will create an image classifier that will predict the accuracy of an image data-set using PyTorch.

Below are the topics covered in this tutorial:

1. What is Deep Learning?
2. What are Neural Networks?
3. Libraries available in Python
4. What is PyTorch?
5. Use-Case of PyTorch
6. Summary

Check our complete Deep Learning playlist: https://goo.gl/cck4hE

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How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.


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

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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

Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.

For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

🔥Edureka Deep Learning Training - TensorFlow Certification:- https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka video on the "GPT-3 Explained" will help you understand why and what is GPT 3 Language Model, followed by its Use cases and limitations. Following Pointers are covered in this GPT-3 explained video:
00:00:00 Introduction
00:00:57 Introduction to GPT
00:02:50 Practical Applications of GPT Deep Learning Model
00:04:54 Datasets and Parameters used in GPT 3
00:06:44 Limitations of GPT Algorithm
00:08:14 How you can use GPT

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
---------------------------------------------------------------------------------------------------------

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

Edureka Community: https://bit.ly/EdurekaCommunity
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Meetup: https://www.meetup.com/edureka/

#Edureka #EdurekaTensorFlow #GPT3 #Tensorflowtutorial #tensorflow2.0 #TensorFlowTraining #Edureka #EdurekaTraining

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

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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

About the Course

Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

- - - - - - - - - - - - - -
Who should go for this course?

The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775

🔥 Microsoft Power BI Certification Training: PwC Academy: https://www.edureka.co/power-b....i-certification-trai

This video on *Power BI Desktop* covers everything you need to know, from its evolution to practical applications. We'll dive into the history of Power BI, explaining what Power BI and Power BI Desktop are and why Power BI Desktop is a key tool for business intelligence. You'll also learn how to install Power BI Desktop, explore its features, and understand how to use it to create insightful reports. Finally, we'll guide you through the process of publishing a Power BI report. Whether you're a beginner or looking to expand your knowledge, this tutorial provides valuable insights into Power BI Desktop.

✅ 00:00 - Introduction to Power BI Desktop
✅ 01:08 - Evolution of Power BI
✅ 02:47 - What is Power BI?
✅ 03:22 - What is Power BI Desktop?
✅ 03:55 - Why is Power BI Desktop used?
✅ 04:28 - Power BI Desktop installation
✅ 05:04 - How is Power BI Desktop used?
✅ 17:09 - How to Publish Power BI Report?

✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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

About Power BI Certification Course

Edureka's Power BI certification course helps you master Business Analytics, covering Power BI Desktop, DAX, Service, Data Transformation, Reports, and more. With live instructor-led sessions and real-time projects, you’ll gain hands-on experience from industry experts with over 10 years of experience and be prepared to clear the PL-300 exam.
- - - - - - - - - - - - - -

What are the prerequisites for the Edureka Power BI training course?

There is no prior technical knowledge required for this Power BI training course. However, a fundamental understanding of Microsoft Excel, R and Python Scripts will be an advantage. To help you brush up concepts of R and Python Scripts, we will provide self-paced videos absolutely free in your LMS.
- - - - - - - - - - - - - -

Why should you learn Power BI course?

Power BI is a business analytics service provided by Microsoft. It provides interactive visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves without having to depend on any information technology staff or database administrator. Microsoft Power BI Plus: Certified by PwC program shares knowledge on how it provides cloud-based BI services - known as Power BI Services, along with a desktop-based interface called Power BI Desktop. It offers Data modeling capabilities including data preparation, and data discovery, which can be utilized for implementing efficient interactive reports and dashboards.
- - - - - - - - - - - - - -

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

#powerbi #powerbidesktop #powerbitutorial

🟢 Listen on Spotify: https://magicmusic.lnk.to/theBestPop

Tracklist:
0:00:00 01 V.GIRL, lost., Pop Mage - Flowers
0:03:08 02 Harley Bird, lost. _ Pop Mage - Attention
0:06:50 02 Harley Bird, lost., Pop Mage - Save Your Tears
0:09:54 03 Benlon, Pop Mage - We Don_t Talk Anymore
0:13:53 03 lost. , Honeyfox, Pop Mage - I Like The Way You Kiss Me (Acoustic)
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0:20:38 05 Hannah Gracelynn, lost., Pop Mage - Infinity
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0:26:51 05 Honeyfox, lost., Pop Mage - Kings & Queens
0:29:49 05 lost. _ Pop Mage - Mood
0:32:33 05 Mingue, lost. _ Pop Mage - I Love You 3000
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0:39:58 06 Honeyfox, lost., Pop Mage - Legends Never Die
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0:45:39 07 Honeyfox, lost., Pop Mage - Let Me Down Slowly
0:49:11 07 Onyra, lost., Pop Mage - 7 Years
0:52:55 08 Jemma Johnson, lost., Pop Mage - See You Again
0:56:02 08 Vince Palmeri, lost., Pop Mage - I'm Good (Blue)
0:59:20 09 Honeyfox, lost., Pop Mage - Can't Help Falling In Love With You
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1:04:56 10 Honeyfox, lost., Pop Mage - Comethru
1:08:08 10 Michelle Ray, lost., Pop Mage - Apologize
1:11:13 Simon Erics, lost. _ Pop Mage - Bad Liar
1:15:27 Timmy Commerford, lost., Pop Mage - At My Worst
1:18:43 Zelli King, lost., Pop Mage - Love Is Gone
1:21:40

--------------------------------------------
contact me: https://t.me/locxiaolin
SunSet Mood © Magic Music Group LLC 2022. We own rights to all content uploaded. Any reproduction of this content will result in a Content ID claim.
Usage Policy: https://magicmusicllc.com/

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Stay updated with the latest videos, Subscribe on the link - http://bit.ly/adityamusic

00:00 - Mastaaru Mastaaru

02:55 - Ooru Palletooru

07:05 - Milky Beauty

10:10 - Hola Re Hola
13:47 - Lady Luck

16:36 - Kootha Ramp
20:50 - Rela Rela

24:47 - Neevuntey Chaalu

Movie : SIR
Song : Mastaaru Mastaaru
Singer : Shweta Mohan
Lyrics : 'Saraswati Putra' Ramajogayya Sastry
Music : GV Prakash Kumar

Movie : Balagam
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Singers : Mangli, Ram Miryala, Bheems Ceciroleo
Lyricist : Kasarla Shyam

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Music : Mahati Swara Sagar

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Lyrics : Shree Mani
Singer : J V Sudhanshu & Sony komanduri
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Movie : Miss Shetty Mr Polishetty
Song : Lady Luck
Composed , Arranged & Rhythm Programmed by Radhan
Lyrics : 'Saraswati Putra' Ramajogayya Sastry
Vocals : Karthik

Movie : Bhaag Saale
Song : Kootha Ramp
Singer & Music : Kaala Bhairava
Lyrics : Krishna Kanth
Programmed & Mixed By : Siddharth S
Mastered By : Shadab Rayeen
Choreographer : Bhanu

Movie : Vimanam
Song : Rela Rela
Singer : Mangli
Music & Lyrics : Charan Arjun
Choreographer : Eshwar Penti

Movie : Michael
Song : Neevuntey chaalu
Music Director : Sam CS
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Singer : Sid Sriram
Choreography : Satish Krishnan

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Anthropic’s Barry Zhang (Applied AI), Erik Schluntz (Research), and Alex Albert (Claude Relations) discuss the potential of AI agents, common pitfalls to avoid, and how to prepare for the evolving landscape.

Read more advice on building agents: https://www.anthropic.com/rese....arch/building-effect

00:00 Introduction
00:26 Defining AI agents and workflows
02:55 Anatomy of an agent prompt
04:29 Behind the scenes stories
07:29 Why write about agents now
08:53 Overhyped and underhyped aspects of agents
09:57 Identifying useful applications of agents
10:47 Coding agents: Potential and challenges
12:47 The future of agents in 2025
16:26 Advice for developers exploring agents

Improve your AI skills with the FREE Prompting QuickStart Guide I made in collaboration with Hubspot: https://clickhubspot.com/1gg9

Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

🤝 Business Inquiries: https://tally.so/r/mRDV99

🖱️Links mentioned in video
========================

A few notebooks to try out from crewAI & Autogen that are easy to follow and get started. All credit goes to these companies and Deep Learning AI. Please make a copy:

https://drive.google.com/file/....d/1mtv-gdKV9HMsGvGIq

https://drive.google.com/file/....d/1u9gGPqWSJ4_Pa_cLN

https://drive.google.com/file/....d/1T07WHydxBN-T-kcgi

https://drive.google.com/file/....d/1vPWpYvcHPROMC3BOE

Resources I consulted in making this video:

crewAI course: https://www.deeplearning.ai/sh....ort-courses/multi-ai

Autogen course: https://www.deeplearning.ai/sh....ort-courses/ai-agent

LangGraph course: https://www.deeplearning.ai/sh....ort-courses/ai-agent

David Ondrej n8n tutorial: https://youtu.be/XVO3zsHdvio?si=AQcMnYn8kJOogqLr

Andrew Ng Snowflake agentic design patterns: https://youtu.be/KrRD7r7y7NY?si=tFtd6wJKB6idtfKb

Andrew Ng Sequoia agentic design patterns: https://youtu.be/sal78ACtGTc?si=2i8Wyy57n8m6TbBK

YC business advice: https://youtu.be/ASABxNenD_U?si=k19a310Tj3USuKNe

🐙 Lonely Octopus: https://www.lonelyoctopus.com/
Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects!

🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina

🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk

⏰Timestamps
========================
00:00 — Intro
00:38 — Video overview
01:13 — AI agents definition
03:45 — Agentic design patterns
09:24 — Multi-agent design patterns
17:04 — Building a no code agent in n8n
19:46 — Ways to use AI agents
21:05 — Quiz

📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX

🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk

How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!

📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: hellotinah@gmail.com

========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

This Claude Code Tutorial teaches you what I wish I knew as a software developer about Claude Code before I started AI coding. Get started here: https://clau.de/kevinstratvert

You can vibe code with other tools, or you can build durable software with tools like Claude Code. First, I'll walk you through how to install it on Mac or Windows.

Next, you’ll connect Claude Code to VS Code and learn how to build your first app - including how best to structure your prompts and what details are useful for Claude to know.

You'll review Claude's Plan mode like a senior engineer and learn how to work faster once you trust the changes it makes.

Next, you'll learn how to use Claude Code with an existing codebase - focusing on how to get it to analyze your coding standards so future changes are consistent. (Heavy use of CLAUDE.md)

Finally, you’ll execute a major architecture change and learn how best to work with Claude Code throughout the process.

Host: David DeWinter
Sponsor: Anthropic

📚 RESOURCES
Commands and Prompts to Copy ➜ https://drive.google.com/drive..../folders/1ZFRZcOCfep
CLAUDE.md guidance ➜ http://humanlayer.dev/blog/wri....ting-a-good-claude-m
Claude Code Best Practices by Anthropic ➜ https://www.anthropic.com/engi....neering/claude-code-

⌚ TIMESTAMPS
0:00 - Install Claude Code
2:08 - Create New App
7:56 - Existing App
11:48 - Architecture Change
14:31 - Your Next Steps

📩 NEWSLETTER
- Get the latest high-quality tutorial and tips and tricks videos emailed to your inbox each week: https://kevinstratvert.com/newsletter/

🔽 CONNECT WITH ME
- Official website: http://www.kevinstratvert.com
- LinkedIn: https://www.linkedin.com/in/kevinstratvert/
- Discord: https://bit.ly/KevinStratvertDiscord
- Twitter: https://twitter.com/kevstrat
- Facebook: https://www.facebook.com/Kevin....-Stratvert-101912218
- TikTok: https://www.tiktok.com/@kevinstratvert
- Instagram: https://www.instagram.com/kevinstratvert/

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