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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#ExcelCourse #ExcelFullCourse #ExcelTutorial #MicrosoftExcelTutorial #ExcelTutorialForBeginners #LearnExcel #excelBasics #excelAdvanced #excelFormulas #excelFunctions #excel2016 #dataAnalytics #excelForDataAnalysis #Simplilearn #2022

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.

About Business Analytics Certification Course with Excel:
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.

Key Features:
✅ 12 hours of self-paced video
✅ Two hands-on industry-based projects on healthcare and e-commerce
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✅ Eight practical exercises
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Eligibility:
Business Analytics with Excel is the best course for both beginners and experienced professionals who are inexperienced or have recently entered the analytics field. This Business Analytics online course benefits IT developers and testers, data analysts, junior data scientists, analytics professionals, BI and reporting professionals, project managers, students, and professionals working with data in any industry.

Pre-requisites:
There are no prerequisites for this Business Analytics certification training other than an analytical mindset. However, we do expect the participants to have a basic knowledge of working with Microsoft Excel.

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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_

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

#advancedExcelFullCourse #advancedExcelTutorial #ExcelTraining #AdvancedExcelFormulas #AdvancedExcelFunctions #Vlookup #hlookup #xlookup #sumifs #concatinate #if #excelDashboard #excelReport #ExcelDataAnalytics #ExcelCourse #ExcelFullCourse #ExcelTutorial #MicrosoftExcelTutorial #ExcelTutorialForBeginners #LearnExcel #Simplilearn #2023

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.

🔥Data Analyst Master's Program (Discount Coupon: YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=ExcelFullCourse11Feb2023&utm_medium=Description&utm_source=youtube

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*Note: 1+ Years of Experience Recommended to Sign up for Below Programs ⬇️
🔥 Purdue Post Graduate Program In Digital Marketing: https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=27September2023GoogleAdsCrashCourse2023&utm_medium=Descriptionff&utm_source=youtube
🔥 Digital Marketing Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/master-in-digital-marketing?utm_campaign=27September2023GoogleAdsCrashCourse2023&utm_medium=Descriptionff&utm_source=youtube

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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⏩ Check out the Digital Marketing training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#GoogleAdsCrashCourse #GoogleAds #GoogleAdsCourse #GoogleAdsTutorial #GoogleAdsForBeginners #DigitalMarketingTools #DigitalMarketingTutorial #2024 #DigitalMarketing #Simplilearn

✅ About Post Graduate Program in Digital Marketing Program:

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.

✅ Key Features:
- Purdue-Simplilearn Joint Post Graduate Program Certification
- Purdue Alumni Membership and Masterclasses
- Masterclasses from top Purdue instructors
- 200+ hours of applied learning
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- Learn 35+ Digital Marketing tools

✅ Skills Covered

- Search Engine Optimization
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🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=27September2023GoogleAdsCrashCourse2023&utm_medium=Description&utm_source=youtube

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
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
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👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

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:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

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

#VertDider #Veritasium

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/094y1Z2wpJg

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

Однажды некий беспокойных ум решил обогнать ветер на устройстве, которое движется за счёт попутного ветра и ровно в его направлении. Интернет-сообщество не поверило, что такое возможно, но через некоторое время проверить результат пытливого изобретателя отправился Дерек Маллер, автор канала Veritasium. Обогнать ветер, кажется, получилось, но некоторые считают, что BlackBird нарушает закон сохранения энергии. В новом видео посмотрим, что же там происходит и как это всё возможно.

Перевод: Алексей Малов
Редактура: Елена Смотрова
Научная Редактура: Павел Худик
Озвучка: Дмитрий Чепусов, Алексей Никитин
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

#Veritasium

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, Евгений Тихонов, smiler, Антон Малинин, 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, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Максим 'Sheridan' Горлов, Katoto Chan, Anton Makiievskyi, , Александр Зуев, Marianna Sumina, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Дмитрий, 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, Vadim Velicodnii, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Nadia Kilgishova, Aiorraro, Andrey Rusanov, Inna Klymenko, Dmitriy Lashtaba, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Виталий Пастушенко, Claudia Barzaeva, Pandaben, Lirin Alex, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, Alexey Kukushkin, F23D24, 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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— 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/jyQwgBAaBag

Get the guide to GAI, learn more → https://ibm.biz/BdKTbF
Learn more about the technology → https://ibm.biz/BdKTbX

Join Cedric Clyburn as he explores the differences and use cases of Retrieval Augmented Generation (RAG) and fine-tuning in enhancing large language models. This video covers the strengths, weaknesses, and common applications of both techniques, and provides insights on how to choose between them using machine learning and natural language processing principles

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://www.ibm.com/account/re....g/us-en/signup?formi

#AI #LargeLanguageModels #FineTuning #RAG #ReinforcementLearning #MachineLearning #NaturalLanguageProcessing

In this video, learn how to build your own Small Language Model (SLM) from scratch using Python, PyTorch, and Hugging Face datasets. We’ll walk through every step — from data collection and preprocessing to tokenization, transformer architecture, and model training.

You’ll discover how a compact 10–15 million parameter model can still generate coherent and meaningful text, using concepts inspired by GPT models. This tutorial simplifies complex AI topics like embedding layers, attention mechanisms, loss computation, and next-token prediction — all explained clearly with working code examples.

🔹 Topics Covered:

What are Small Language Models (SLMs)?

Using the TinyStories dataset from Hugging Face

Tokenization with OpenAI’s tiktoken library

Creating .bin training files for efficient processing

Building a Transformer architecture step-by-step

Implementing GPT-like attention blocks

Training configuration and hyperparameter tuning

Generating text from your trained SLM

🎯 Perfect for AI researchers, ML engineers, and enthusiasts who want to understand how GPT-style models actually work under the hood — without requiring massive GPUs or billion-parameter setups.

#SmallLanguageModel #BuildLLM #GPT2Tutorial #TransformerModel #PyTorch #AIML #DeepLearning #NLP #HuggingFace #TrainYourOwnGPT #SLM #LanguageModel #MachineLearning #ArtificialIntelligence #NanoGPT #AIProjects #PythonCoding #AICoding #OpenSourceAI #generativeai

Not only have I built hundreds of AI agents myself, I've seen other people build thousands of AI agents for every use case under the sun. The people who are the most successful are the ones who don't overcomplicate it - and I want that to be you too.

It's easy to think building AI agents is super complicated, but honestly you can learn 90% of what you need to know (and what to focus on) from this video. No matter how you're building your agents, I'll show you here what you need to think about, and more importantly what you shouldn't worry about when you're first creating your agent.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Platforms mentioned in this video (most are open source!):

- Synk for automated AI-native app security:
https://snyk.plug.dev/xgmYQhO
- Guardrails AI for agent guardrails:
https://github.com/guardrails-ai/guardrails
- Pydantic AI for the AI Agent framework:
https://ai.pydantic.dev/
- Mem0 for long term memory:
https://mem0.ai
- Langfuse for agent observability:
https://langfuse.com/
- Docker for deployment:
https://www.docker.com/

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- If you want to master AI coding assistants and learn how to build systems for reliable and repeatable results, check out the new Agentic Coding Course in Dynamous:
https://dynamous.ai/agentic-coding-course

- Here is the repo for the super simple AI Agent we built in this video:
https://github.com/coleam00/ot....tomator-agents/tree/

- Here is the system prompt template I covered:
https://docs.google.com/docume....nt/d/1-OB4ZMg20pIRVm

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Thanks to Snyk for working with me on the security portion of this video! It's been a pleasure and I really do believe Snyk is on the forefront of software/agent/AI coding security especially with their new MCP server:
https://docs.snyk.io/integrati....ons/snyk-studio-agen

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

00:00 - Master the First 90% of Building AI Agents
01:38 - The 4 Core Components of AI Agents
03:06 - The First 3 Steps of Building an Agent
04:09 - Building a Basic AI Agent Together Live
09:17 - Choosing Your LLM
10:34 - Crafting Your System Prompt
12:20 - Creating Your Tools (Agent Capabilities)
14:26 - AI Agent Security
15:32 - Guardrails AI
16:45 - Snyk MCP Server
19:45 - Managing Agent Context (Memory)
22:05 - Mem0 for Long Term Agent Memory
23:53 - Agent Observability (with Langfuse)
26:28 - Agent Deployment (with Docker)
28:41 - Final Thoughts

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!