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

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

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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© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/Pm9CQn07OjU

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In this video on AWS Solutions Architect Certification Training Demo Class, we will introduce you to What is Cloud, and then What is AWS, how you can learn AWS to become a certified AWS Solutions Architect.

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In this video, I break down how to build AI agents better than 99% of people by understanding what is an AI agent and how it actually works. You’ll learn AI agents explained step by step, follow a practical AI agents tutorial and AI agent tutorial, and see exactly how to build AI agents for real use cases. Whether you're looking for a structured AI agents course or want to build AI agents from scratch, this guide covers everything you need to get started.

00:00 - Intro: Building AI Agents Better Than 99% of People
01:28 - Free Base44 AI App Development Masterclass
02:01 - Chatbots vs AI Agents: The Mindset Shift
02:40 - Base44 Super Agents vs General Chat
04:32 - Natural Language Programming with Claude Opus 4.6
05:05 - Removing Technical Friction: No Servers or APIs
06:00 - Use Case 1: Automated AI Executive Assistant
06:55 - 24/7 Cloud Execution & AI Reliability
07:42 - Use Case 2: Market Scout & Travel Coordinator
10:12 - ChatGPT vs Zapier vs Base44 Execution
10:46 - Use Case 3: Full-Cycle Sales & CRM Agent
11:51 - Agent Memory: Training AI on Business SOPs
13:16 - Frictionless AI: Operating Inside WhatsApp & Slack
16:14 - Use Case 4: High-Speed Lead Nurturing Agent
17:28 - Use Case 5: Business Intelligence Data Analyst
20:26 - Live Build: Creating the Lead Pilot Super Agent
22:04 - Integration 1: Connecting Gmail to Base44
22:36 - Integration 2: Connecting HubSpot CRM
22:52 - Integration 3: Connecting WhatsApp Web
23:46 - Task Execution: Automating the Lead Workflow
24:38 - Live Testing the Automated Lead Pipeline
27:10 - Common Beginner Mistakes with AI Agents
28:33 - Cumulative Intelligence: Correcting AI Errors

For inquiries: Mikey (at) ytmedia.group

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This Simplilearn video on How To Introduce Yourself In Interview will brief you on how you can craft a well-prepared self-introduction. Here, we will provide you with an outline of how to get going with a smart self-introduction that will help you grab your dream job. So, let's begin!

The topics covered in this video on How To Introduce Yourself In Interview are:
Introduction 00:00:00
What the Interviewer Wishes to See in Your Self-Introduction 00:00:51
Self-Introduction Outline 00:01:46
Tip 1: Start Your Introduction With a Greeting 00:01:58
Tip 2: Brief About Your Educational Background 00:02:21
Tip 3: Speak About Your Current Job 00:02:47
Tip 4: Hobbies and Passion 00:03:34
Tip 5: Closing Statement 00:03:50
Additional Self-Introduction Tips 00:04:31

Don't forget to participate in the contest at 03:26!

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MIT 15.401 Finance Theory I, Fall 2008
View the complete course: http://ocw.mit.edu/15-401F08
Instructor: Andrew Lo

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

This is my solution to predict.m function in Programming assignment 2 from the famous Machine Learning course by Andrew Ng.



Github: https://github.com/AladdinPerz....on/Courses/tree/mast

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This video by Simplilearn is based on SQL Tutorial For Beginners. This SQL Full Course 2023 by Simplilearn is designed and curated in collaboration with real-time industry experts with Data analytics knowledge and expertise. PL/SQL is a procedural language developed especially to enhance the caliber of SQL statements without altering the original SQL syntax. SQL program units are compiled by the Oracle Database server and stored inside the database. And at run-time, both SQL and SQL run within the same server process, bringing optimal efficiency. These concepts and a few more critical and important topics will be covered in this tutorial.

Topics we will be covering:-
0:00:00 SQL Tutorial For Beginners
0:00:25 Introduction to SQL
0:03:32 What is SQL Tutorial?
0:15.33 What is DBMS?
0:32:30 Installation of MySQL on PC
0:40:10 SQL Syntax, Data types, Commands
1:00:32 What are SQL Operators?
1:23:15 What are SQL Expressions?
1:34:02 How to create a database in MySQL?
1:40:44 What is SQL Table Tutorial?
1:57:39 SQL Select Statement tutorial
2:19:41 What is SQL Clause?
2:44:29 SQL Insert Statement tutorial
2:53:48 SQL Update Statement tutorial
3:01:12 SQL Delete Statement tutorial
3:10:21 What is SQL Join?
3:51:37 What are Keys in SQL?
4:04:53 What are Aggregate Functions?
4:21:12 What are Scalar Functions?
4:37:10 SQL Group by and Order by
4:57:08 How to use Where Clause in SQL?
5:01:24 SQL Where vs Having Clause
5:21:15 What are Subqueries?
5:31:27 How to Create a user defined Function in SQL?
5:42:51 What is Commit and Rollback in SQL?
5:58:35 SQL Like Clause Tutorial
6:11:52 How to find Nth highest Salary?
6:25:58 WebSQL Tutorial
6:41:00 Cast and Convert Function in SQL
6:57:21 What is View In SQL?
7:17:03 SQL Interview Questions for Beginners

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What is SQL?
SQL stands from Structured Query Language. It is used to communicate with several relational databases such as MySQL, Oracle and MS SQL Server. Using SQL queries, you can fetch, update, delete and manipulate data that is stored in the form of rows and columns. You can also permit users to perform specific tasks on tables, procedures, and views. SQL commands are divided into different types, such as data manipulation language (DML), data definition language (DDL), transaction control language (TCL), and data query language (DQL).

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There are no prerequisites for this database training course. This course can be taken up by anyone who wants to learn SQL.

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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on expectation-maximization in the context of the mixture of Gaussian and naive Bayes models, as well as factor analysis and digression.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Learn how to design and use databases. You will create a graphical Windows application with C# that can display and modify data from a mySQL database server.

You need Microsoft Windows to follow along.

✏️ @shadsluiter is your instructor for this course. He is a Professor Of Computer Science and Software Development at Grand Canyon University.

🔗 Professor Sluiter has more courses here: http://studycoding.org

⭐️ Contents ⭐️
⌨️ Course Outline
⌨️ Create a new database in mySQL
⌨️ How to write sql queries
⌨️ Create a GUI front end app
⌨️ Create a Data Access Object and connect to a database
⌨️ Query the database
⌨️ Add a picture box to display album art
⌨️ Insert new records into the database
⌨️ Create a second table and a foreign key
⌨️ Table joins part a
⌨️ Table joins part b
⌨️ Design with UML and ER diagrams
⌨️ Perform compound select actions
⌨️ Delete data from a table
⌨️ Add a video player to the app
⌨️ Extended Features

⌨️ (0:00:00) Introduction
⌨️ (0:04:33) Tools we’ll need
⌨️ (0:08:49) Creating a new database
⌨️ (0:12:16) Saving the data
⌨️ (0:16:04) How to fill in a table
⌨️ (0:20:26) Select star from albums
⌨️ (0:23:44) How to delete backticks
⌨️ (0:27:16) Intro to the series
⌨️ (0:34:40) How to delete the backticks
⌨️ (0:37:49) Building the database app
⌨️ (0:42:22) Start of the demo
⌨️ (0:46:33) Creating an album class
⌨️ (0:51:19) Adding two albums to the list
⌨️ (0:55:11) Connecting the database to the database
⌨️ (0:58:08) Where does the data source live?
⌨️ (1:04:42) Setting up the database
⌨️ (1:07:53) Running the app
⌨️ (1:10:37) How to create searches
⌨️ (1:13:55) Programming the new search button
⌨️ (1:18:12) The problem with parameter queries
⌨️ (1:21:56) Adding a picture to the screen
⌨️ (1:26:12) How to test the problem
⌨️ (1:30:45) Adding new records to the database
⌨️ (1:39:22) Adding an integer to the database
⌨️ (1:43:27) Adjusting the column titles
⌨️ (1:46:13) Execute non-query query
⌨️ (1:49:06) Creating a foreign key
⌨️ (1:51:47) Install mysql workbench
⌨️ (1:55:05) Connecting to the database
⌨️ (1:59:04) Configuring the tracks table
⌨️ (2:06:49) We have a problem with Mamp synchronization
⌨️ (2:10:01) Inserting data into the tracks table
⌨️ (2:13:08) Selecting items from the database
⌨️ (2:16:46) Changes to the definition of tracks
⌨️ (2:20:55) Fixing the problem with the binding source
⌨️ (2:24:12) Foreign keys and joins
⌨️ (2:27:36) Selecting from the table
⌨️ (2:31:15) Changing the query using a join
⌨️ (2:39:10) Uml diagrams for our current application
⌨️ (2:41:58) Associative vs aggregation
⌨️ (2:45:47) Introduction to compound queries
⌨️ (2:49:53) Fetching the list of all tracks
⌨️ (2:53:03) Using the delete statement to delete tracks
⌨️ (2:56:35) The problem with converting an integer to an integer
⌨️ (3:00:33) Deleting a track by deleting its Id

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В чем залог счастливой жизни? Люди пытаются найти ответ на этот вопрос с незапамятных времён через искусство, философию и духовные практики. В 1938 году учёные из Гарварда решили пойти научным путём и пронаблюдать за тем, как меняется ощущение счастья у тогдашних подростков в течение их жизни. Дерек Маллер с канала Veritasium встретился с уже четвертым руководителем Гарвардского исследования развития взрослых людей, чтобы узнать, какие выводы получилось сделать спустя 85 лет после начала проекта.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Евгений Момотюк
Озвучка: Дмитрий Чепусов, Лиза Чабан, Алексей Никитин, Дмитрий Машкович
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов

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, Amir, Все будет хорошо, Vitaliy Vachynyuk, Anatoly Zapadinsky, Oleg Zingilevskiy, Mykola Korniichuk, opperatius, Eugene Tsaplin, Pavel Parpura, Anton Bolotov, Katoto Chan, Мikhail Samin, Ihar Marozau, Irina Shakhverdova, Aleksei Shabalin, Valeriy Dubrava, Kirill Zaslavskii, Victor Cazacov, Timur Sattarov, VEG, Victoria Kleban, Morock_D, Alexander Goida, Vladimir Sharich, Maxim Korotkov, Leonid Steinberg, Alex Kulakov, Anna Ostrovskaya, Rashn, Nikrodol, Lexx, Dmitry Chechulin, Rincewind, Шурик Самара, Виктор Харламов, Alexander Lebedev, Sonra44, Timophey Popov, Арс Ник, asdadasa, MaximML , dv0, александра меньшикова, Тимур Абдуллин, Artem Piskarev, Глеб Кочергин, Иван Новиков, Никита Омельницкий, Artem Sobolenkov, Alien, Artem Sobolenkov, Rekvet, pervprog, Илья Зверев, Кожаный Гусь, Никита Омельницкий, Cyril Anonimov, Timur Rahmatulin, Дмитрий Казанов, Being of Whiteout, Александр Денисов, Timur Rahmatulin, Артем Сиваченко, Никита Омельницкий, Тот самый Виктор, Alexander Kulikov, Адам Шифф, Василий , Никита Омельницкий, Никита Цикалин.

#vertdider #veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— https://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=vSQjk9jKarg

Welcome to the ultimate Claude Code Full Course! 🤯 In this video, we are building a fully autonomous AI Marketing Officer completely from scratch.

If you are looking for a Claude Code Crash Course for Beginners NOW, this is it. This Claude Code tutorial works as a complete Claude Code beginners guide, walking you through how to setup Claude Code in VS Code (Visual Studio Code). By the end of this video, you'll have a system where you can type one sentence, and Claude will research the topic, draft a week's worth of content (including visuals), and schedule it across your social media platforms.

This isn't just a coding tutorial; it’s a guide on how to use AI to have leverage and scale yourself. Whether you are wondering about Claude Code vs n8n for automation or just want to Master Claude Code in a few hours, this build-along guide covers it all.

In this deep-dive tutorial, we cover:

Claude Code Setup: Installing Claude Code, VS Code, and handling permissions safely.

Skills: Creating custom skills to generate posts from YouTube videos.

Brand Voice: Teaching the AI to write like you (or like Alex Hormozi/Justin Welsh).

Quality Gates: Using hooks to automatically check for bad formatting or banned words.

Sub-Agents: Running parallel agents to post to Twitter and LinkedIn simultaneously.

Claude Code Tips: Essential tricks from 500+ hours of usage.

Don't start your Claude Code course without watching this practical example of building a real-world tool using the Blotato API.


Timestamps

00:00 - Claude Code Full Course Intro & Demo
00:49 - Course Outline: Building an AI Marketing Officer
03:15 - How to Install Claude Code & VS Code Setup
06:34 - Managing Permissions & Safe Mode Prompts
09:24 - Claude Code Modes: Plan Mode vs. Edit Mode
11:23 - Managing Context Windows & Models (Opus 4.6)
13:09 - Building Skill #1: The Social Media 'Post' Skill
16:46 - Integrating the Blotato API for Visuals
24:00 - Testing the Post Skill with a YouTube Video
27:10 - Debugging Live: Handling API Errors
30:39 - Generating Content from Perplexity Search
32:35 - Adding Brand Voice (Alex Hormozi & Justin Welsh Styles)
36:51 - Setting up Quality Gates & Hooks (Validating Posts)
42:19 - Creating Sub-Agents for Cross-Platform Publishing
45:08 - Testing Parallel Publishing (Twitter & LinkedIn)
49:57 - Building Skill #2: The 'Plan Week' Automation
53:38 - Setting up Scheduling Slots for Batch Content
59:00 - Analyzing a 2-Hour Video for Content Angles
01:02:00 - Reviewing the Full Weekly Content Plan
01:07:54 - Creating the CLAUDE.MD Documentation File
01:11:36 - Next Steps & Repurposing this Tool

#ClaudeCode #AIAutomation #n8n
--

I'm Sabrina Ramonov. I'm on a mission to teach 1 million people AI. I'm also the solo founder of Blotato.com. It's a SaaS app for creators/entrepreneurs to go viral faster with AI, just like me (0 to 500k+ in 6 months solo).

How I got here…

0: Born in Quezon City, Philippines 🇵🇭
22 yrs old: Graduated UC Berkeley with degrees in Computer Science and Physics... and $250k in student loans.
23 yrs old: Started Qurious, as Founder/CEO, doing natural language processing (AI) in healthcare.
25 yrs old: Closed pilots with billion-dollar pharmaceutical companies, but failed to reach product market fit.
26 yrs old: Pivoted Qurious a lot, then settled on real-time call guidance for sales and customer support, combining streaming speech recognition (AI) and natural language processing (AI).
28 yrs old: Made the Forbes 30 Under 30 list, while living in a living room of 2BR San Francisco apartment.
30 yrs old: Sold 100% of Qurious to Pegasystems (NASDAQ: Pega) in cash and stock deal ($10M+ total).
31 yrs old: Integrated Qurious with Pegasystems Customer Service to launch Pega Voice AI, now used by 1000s of support agents.
32 yrs old: Started angel investing in VC/seed funds, crypto, and passion areas 🍄 while recovering from burnout by hiking, skiing, and reading. Dropped 50 lbs to get back in shape.
33 yrs old: Started making free content to teach 1 million people AI.
34 yrs old: 0 to 500k+ followers in 6 months with $0 budget, 0 team, $0 paid ads, 0 masterminds.

Today: Started https://Blotato.com to distribute 100+ pieces of content per week. 1000s of creators & entrepreneurs use Blotato to go viral faster with AI.

Get FREE AI prompts, playbooks, and agents 👉 https://sabrina.dev/p/free

State Space Models (SSMs) are a new architecture that is revolutionizing Large Language Models. Learn about them in this friendly video!

00:00 Introduction
00:33 Example of state space models
10:34 SSMs for language generation
17:40 Mamba
18:32 Convolutions

Grokking Machine Learning, by Luis Serrano
www.manning.com/books/grokking-machine-learning
40% discount code: serranoyt

MIT Introduction to Deep Learning 6.S191: Lecture 4
Deep Generative Modeling
Lecturer: Ava Amini
*New 2024 Edition*

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline
0:00​ - Introduction
6:10- Why care about generative models?
8:16​ - Latent variable models
10:50​ - Autoencoders
17:02​ - Variational autoencoders
23:25 - Priors on the latent distribution
32:31​ - Reparameterization trick
34:36​ - Latent perturbation and disentanglement
37:40 - Debiasing with VAEs
39:37​ - Generative adversarial networks
42:09​ - Intuitions behind GANs
44:57 - Training GANs
48:28 - GANs: Recent advances
50:57 - CycleGAN of unpaired translation
55:03 - Diffusion Model sneak peak

Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!