An updated deep learning introduction using Python, TensorFlow, and Keras.

Text-tutorial and notes: https://pythonprogramming.net/....introduction-deep-le

TensorFlow Docs: https://www.tensorflow.org/api_docs/python/
Keras Docs: https://keras.io/layers/about-keras-layers/

Discord: https://discord.gg/sentdex

GPT-3 is super intelligent NLP deep learning model. In order to understand GPT-3 or later version, we should understand fundamental basic of it, and this video is covering the basic of GPT which covers before the transformer, and summary of transformer and the basic fundamental of GPT by looking at GPT-1.

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This Excel Tutorial full course will help you get started with Excel and explore the features it offers. You will take a tour to understand Excel basics and look at how to write functions, sort, and filter data, how to import data and split data into multiple columns, learn about sumif and countif functions and many more functions and formulas available in Microsoft Excel.

Dataset Link - https://drive.google.com/drive..../folders/1SHluFgVDj_

00:00:00 Introduction
00:01:30 MS Excel Basics
00:45:35 Excel Sort and Filter
01:09:11 Function in Excel
01:37:51 Conditional Formatting
01:53:57 Data Validation
02:06:59 Pivot Table and Charts
03:23:52 Data Analysis in Excel
04:11:08 Macros and VBA
05:13:10 Excel Dashboard
06:23:13 Excel Interview Questions

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What is Microsoft Excel?
Excel is one of the best applications available for creating spreadsheets to crunch numbers and dashboard reports and storing and administering data. This software first appeared on the scene in 1987, and since then, it has grown to become one of the most popular software for homes or businesses.

To learn more about excel, check out out the Business Analytics certification course with excel: https://www.simplilearn.com/big-data-and-analytics/business-analytics-certification-training?utm_campaign=ExcelFullCourseOCT10&utm_medium=Description&utm_source=youtube.

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Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. Combined with official business analytics certification, these two commonly used tools will put you on the path to a successful career. This Business Analytics certification course teaches you the basic data analysis and statistics concepts to help data-driven decision-making. This training introduces you to Power BI and delves into the statistical concepts that will help you devise insights from available data to present your findings using executive-level dashboards.

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This Excel Tutorial full course will help you get started with Excel and explore the features it offers. You will take a tour to understand Excel basics and look at how to write functions, sort, and filter data, how to import data and split data into multiple columns, learn about sumif and countif functions, and many more functions and formulas available in Microsoft Excel.

Dataset Link - https://drive.google.com/drive..../folders/1SHluFgVDj_

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What is Microsoft Excel?
Excel is one of the best applications available on the market for creating spreadsheets to crunch numbers and dashboard reports as well as storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business.

➡️ Data Analyst Masters Program
This Data Analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this Data Analytics course, you will learn the latest analytics tools and techniques, how to work with SQL databases, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment. This joint partnership between Simplilearn and IBM introduces students to an integrated Blended Learning approach, making them experts in data analysis. This Data Analytics certification course, in collaboration with IBM, will help students become industry-ready for top data analyst job roles.

✅ Who should enroll in this course

Aspiring professionals from all educational backgrounds and with an analytical frame of mind are best suited to pursue Data Analytics courses. This includes:

IT professionals
Banking and finance professionals
Marketing managers
Sales professionals
Supply chain network managers
Beginners in the data analytics domain
Students in UG/ PG programs


✅ Why become a Data Analyst
The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.

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Google Ads is a robust online advertising platform by Google. It helps businesses create targeted ads on Google's search engine and partner sites, allowing precise audience targeting, budget control, and real-time campaign performance tracking. Google Ads has almost 240 million unique visitors on monthly basis. As google Ads is top used digital marketing tools, google ads expert are in high demand. Average salary of Google Ads Specialist is $46000 per year in US.

00:00 Google Ads Crash Course

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This digital marketing course is meant for professionals looking to pursue a Digital Marketing career, know the fundamentals, and gain hands-on experience, as well as experienced marketers keen on learning the latest Digital Marketing skills. The Harvard Business case studies and projects on Google and Facebook add real-world experience.

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Learn how to use Next 3 in this full tutorial for beginners. Nuxt.js is a progressive JavaScript framework for building user interfaces on the web. Nuxt makes it easy to create server-rendered applications, static websites, and single-page applications.

✏️ Course developed by @codewithguillaume

Contents
⌨️ (0:00:00) Intro
⌨️ (0:02:51) Create an App
⌨️ (0:11:07) Pages
⌨️ (0:22:37) Components
⌨️ (0:32:10) Layouts
⌨️ (0:37:47) Assets
⌨️ (0:48:40) Composables
⌨️ (0:55:00) Plugins
⌨️ (1:00:43) Middlewares
⌨️ (1:07:36) Modules
⌨️ (1:12:57) State Management
⌨️ (1:23:28) Server
⌨️ (1:33:42) Nitro
⌨️ (1:38:17) Rendering modes
⌨️ (1:52:04) useFetch
⌨️ (2:02:27) useAsyncData
⌨️ (2:08:16) SEO & Metas
⌨️ (2:18:57) Hooks
⌨️ (2:22:02) Nuxt.config.ts
⌨️ (2:30:14) Nuxt Content
⌨️ (2:41:29) Build Docs and API

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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Welcome back to US Military Power Channel, today's episode we will uncover "The US Army's New Super Robo-Dog With Sniper Rifle".

============================================
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Поддержать проект можно по ссылкам:
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Доказательство гипотезы Коллатца — возможно, самая простая задача, с которой до сих пор никто не справился. Понять её суть может даже школьник, а вот над решением бьются величайшие математики уже почти сотню лет. Что это за гипотеза и чем она примечательна, расскажет Дерек Маллер в новом видео.

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Михаил Столповский, Александр Пушкин
Озвучка: Дмитрий Чепусов, Юрий Катарманов
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, 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, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Katoto Chan, Anton Makiievskyi, Nikolay Chutskov, Arthur Skobara, 666.13FM, Andrew Rumyantsev, Александр Зуев, Marianna Sumina, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Дмитрий, Oleg Kovalov, Vadim Cpp, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Лиля Малкова, Natalie Kulinicheva, Ilya Afanasyev, Marat Bakirov, Ирина Завтонова, Anastasia, Andrew Rumak, Andrey Istomin, Марина Малинкина, 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, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Otto Kester, Виталий Пастушенко, Claudia Barzaeva, Lirin Alex, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, F23D24, Пугачёв Пётр, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky, angel

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Источник: https://youtu.be/094y1Z2wpJg

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Чем старше мы становимся, тем быстрее пролетают года. Но почему так происходит? И можем ли мы как-то замедлить ход времени?

Перевод: Алексей Лоскутов
Редактура: Анна Лысикова
Озвучка: Вадим Казанцев, Юрий Катарманов, Екатерина Муравицкая
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Эльдар Нургалиев

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

Pavel Dunaev, Nick Denizhenko, Yegor Barakovskiy, Oleksii, Ігор Дорохов, Mikhail Stolpovskiy, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Sergei W, Виталий Алешко, Luba Karpenko, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Katoto Chan, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Sultan Ishankulov, Александр Яковлев, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ihar Marozau, Мария Соозарь, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Sergii Cherepanov, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Konstantin Pesyakov, Denis Titusov, Alterien, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, F23D24, Olga Shistareva, Kamerton_440, Alex Katkov, Alexey, Evgeny Vrublevsky, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Maria Burtseva, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Дмитрий Мисюра, Yuliia Zinko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев

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© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/aIx2N-viNwY

It’s been over a year since I last made a list like this so I decided to give it an update. I also decided to make this an annual list. The top 100 songs that I believe the most people in the world will recognize. I looked at charts, streams, sales, and overall pop culture relevance but at the end of the day, this is all just my opinion (which makes this list even more correct).

No Christmas songs, children’s songs, classical music, or film scores were included as that would take up 90% of the list and make it boring.

Spotify playlist: https://open.spotify.com/playlist/50ozhW6x8mS6r64G4Dru0c?si=5g86KH9nSOmyBnrC8UkbRA&pi=u-G6q8mcW6Sxab
Thumbnail: https://youtube.com/@Queen?si=vQYckgvP5U9G_4_E

Top 100 Most Recognizable Songs of All Time (2024 version)

#music #songs #top100

My AI Toolkit: https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=177

Understanding AI Agents doesn't require a technical background. This video breaks down the evolution from basic LLMs like #ChatGPT to AI Workflows and finally to true #AI Agents through practical, real-world examples.

Learn the key differences between these technologies and discover how concepts like RAG and ReAct actually work in simple terms. Perfect for regular AI users who want to understand how these emerging technologies will impact their daily lives.

*TIMESTAMPS*
00:00 AI vs. AI Agents
01:04 Level 1: LLMs
02:17 Level 2: AI Workflows
05:26 Level 3: AI Agents
07:48 Real-world Example
09:10 Summary

*RESOURCES MENTIONED*
Helena Liu's AI Workflow Tutorial: https://youtu.be/H0YRniHh2tg
Andrew Ng's AI Agent Demo: https://youtu.be/KrRD7r7y7NY

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#aiagents