Поддержать проект можно по ссылкам:
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Когда-то давно, летом после восьмого класса, наша главред взялась шить себе юбку на бабушкиной швейной машинке и пробила иглой палец. Памятное пятнышко под ногтем было видно ещё несколько лет. Новое видео Дерека Маллера, конечно, не об этом, а о том, как устроены потрясающие машины, которые позволяют за несколько десятков минут создать вещь, на которую раньше ушло бы больше 12 часов.

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

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

🔥Intellipaat Python course: https://intellipaat.com/python....-for-data-science-tr
👇👇Following topics are covered in this python tutorial for beginners video:👇👇
Python Course: 0:00
What is Python? - 1:26
Why choose Python? - 3:08
Features of Python - 4:44
Applications of Python - 5:55
Salary Trends - 7:17
Quiz - 8:01
Installing Python - 8:28
Python Variable - 14:31
Python Tokens - 19:05
Literals in Python - 24:00
Operators in Python - 29:09
Python Datatype - 42:35
Python Flow Control - 1:15:00
Python Function - 1:25:40
Python Function Call - 1:28:32
Quiz - 1:34:46
Python Lambda - 1:36:03
Quiz - 1:40:58
Python Classes/Object - 1:41:38
Python File Handling - 1:42:24
What is Numpy? - 1:56:06
How to Create Numpy Array? - 1:58:04
What is Numpy Array? - 2:01:32
Numpy Array Initialization - 2:04:21
Numpy Array Inspection - 2:11:48
Numpy Array Mathematics - 2:18:52
Numpy Array Broadcasting - 2:31:36
Indexing and Slicing in Python - 2:34:25
Array Manipulation in Python - 2:40:08
Advantages of Numpy over List - 3:01:16
Python Pandas - 3:10:32
Features of Pandas - 3:14:42
Pandas vs Numpy - 3:21:03
How to import Pandas in Python? - 3:23:10
What kind of data does suit Pandas the most? - 3:23:25
Data Structures in Pandas - 3:23:54
Data-set in Pandas - 3:24:44
What is a series object? - 3:25:14
How to change the index name? - 3:27:44
Create different Series Object datatypes - 3:29:36
What is DataFrame? - 3:30:01
Features of DataFrame - 3:30:48
How to create a DataFrame? - 3:32:16
Create a DataFrame from a Dictionary - 3:35:57
Create a DataFrame from a Series - 3:36:45
Create a DataFrame from a numpy ND array - 3:37:08
Merge, Join and Concatenate - 3:37:40
DataFrame for Pandas Merge - 3:43:28
Quiz - 4:20:43
Basics of Data Visualization - 4:23:30
Data Visualization Example - 4:28:05
Why do we need Data Visualization? - 4:28:43
Data Visualization Libraries - 4:38:17
What is Matplotlib? - 4:40:21
Why choose Matplotlib? - 4:41:08
Types of Plots - 4:44:11
Demonstration: Bar Plot - 5:46:28
Demonstration: Scatter Plot - 5:47:08
Demonstration: Histogram - 5:48:55
Demonstration: Box Plot - 5:49:04
Demonstration: Violin Plot - 5:50:06
Demonstration: Image Plot - 5:50:16
Demonstration: Image to Histogram - 5:51:23
Demonstration: Quiver Plot - 5:51:54
Demonstration: Stream Plot - 5:52:37
Demonstration: Pie Chart - 5:53:16
Quiz - 6:04:43
Introduction to PySpark - 6:06:29
What is PySpark? - 6:08:22
Advantages of PySpark - 6:09:46
When to use Python or Scala with Spark? - 6:11:55
Python vs Scala - 6:12:35
PySpark in Industry - 6:13:55
PySpark Installation - 6:15:31
PySpark Fundamentals - 6:22:09
Spark Context - 6:22:32
Spark Context: Parameters - 6:23:16
What is SparkConf? - 6:25:39
SparkConf: Attributes - 6:26:42
SparkConf: Example - 6:30:28
SparkFile - 6:30:43
Resilient Distributed Dataset - 6:34:01
Operations in RDD - 6:34:30
Transformation in RDD - 6:34:39
Action in RDD - 6:35:38
Action & Transformation - 6:36:56
When to use RDD - 6:37:24
What is DataFrame? - 6:38:47
What is MLlib? - 6:39:38
Capstone Project - 6:40:18
Problem Statement - 6:40:44
Data Manipulation - 6:41:46
Data Visualization - 6:55:27
Linear Regression - 7:07:21
Logistic Regression - 7:20:33
Decision Tree & Random Forest - 7:30:27
Python Interview Questions - 7:40:00
Python Job Trend - 7:40:13
Basic Questions -7:40:46
Questions on OOPS - 7:44:56
Questions on NumPy - 7:55:30
Questions on Pandas - 8:01:43
File Handling in Python - 8:10:41
Lambda Function in Python - 8:11:41
Questions on Matplotlib - 8:12:59
Module in Python - 8:17:22
Random Questions - 8:18:23
Machine Learning with Python - 8:28:52

📕 Read complete Python tutorial here: https://intellipaat.com/blog/t....utorial/python-tutor
👉This Python tutorial for beginners video will help you master end to end Python programming course. We have covered Python projects and Python Interview Questions as well in this Python full course tutorial.
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📕Read insightful blog on Python certification: https://intellipaat.com/blog/python-certification/
------------------------------
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐲𝐒𝐐𝐋 𝐃𝐁𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/mysql-dba
This Edureka tutorial video on MySQL Workbench explains all the fundamentals of MySQL Workbench with examples

📢📢 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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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

🔥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
21:19 Unsupervised Learning
22:16 Reinforcement Learning
22:36 K-Means Clustering Algorithm

Check our complete Data Science playlist here: https://goo.gl/60NJJS

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

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

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----------------------------------------------------Edureka Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q


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#edureka #DataScienceEdureka #introductiontodatascience #whatisdatascience #learn #datascience #withMe

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

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.

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

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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For more information, please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/python-....programming-certific (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on 'Introduction To Machine Learning' is the first class in the Python Machine Learning Series which gives a brief introduction to Machine Learning along with types of Machine Learning, and why we use Python programming for Machine Learning.

00:00 Introduction
00:56 What is Machine Learning
10:47 Types of Machine Learning
19:07 Why Python for Machine Learning

📝Feel free to comment your doubts in the comment section below, and we will be happy to answer.
-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬---------

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
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About Python Certification Course?
The Python Certification training course covers both basic and advanced concepts of Python, such as writing Python scripts, sequence and file operations, object-oriented concepts, and web scraping. During this online Python Training, you will learn many essential and widely used Python libraries such as Pandas, NumPy, Matplotlib, among others.
What are the objectives of our Python Certification Courses?
Upon completing this Python training course, you will be able to:

Write Python scripts and test code
Programmatically download and analyze data
Implement the techniques to deal with different types of data – ordinal, categorical, encoding
Create data visualization
Use Python notebooks and master the art of presenting step-by-step data analysis
Edureka offers the best Python course online. Enroll now to get trained under the guidance of industry experts.

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on Machine Learning Tutorial will give you an introduction to Machine Learning with practical examples.

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#edureka #machinelearningedureka #MachineLearningTutorial #MachineLearning #MachineLearningTraining #learnMachineLearning #withme

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.
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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.
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Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
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For more information, please write back to us at [email protected] or call us at IND: 9606058406 /

Become better at machine learning in 5 min/ week 👉🏻 https://borismeinardus.substack.com/

Learning machine learning is really hard, but during my 3.5 years of studying ML, I learned 5 secrets that made understanding ML much easier and helped me a lot in "mastering" it!
In this video, I will share these 5 secrets with you, so that you don't have to spend years figuring them out yourself.
Enjoy 💛

⬇️ Follow me on my other socials and feel free to DM questions! ⬇️
🔹 LinkedIn: https://www.linkedin.com/in/bo....ris-meinardus-ba2302
🐦 Twitter: https://twitter.com/BorisMeinardus

================== Timestamps ================
00:00 - Intro
00:29 - The Secret to Math 1
03:32 - The Secret to Math 2
05:36 - The Secret to Coding
07:53 - The Secret to Understanding Code
10:13 - The Secret to Mastering ML
=============================================

#ai #datascience #machinelearning