🔥 Python Data Science Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/data-sc....ience-python-certifi
This Edureka Video on Time Series Analysis n Python will give you all the information you need to do Time Series Analysis and Forecasting in Python. Below are the topics covered in this tutorial:

1. Why Time Series?
2. What is Time Series?
3. Components of Time Series
4. When not to use Time Series
5. What is Stationarity?
6. ARIMA Model
7. Demo: Forecast Future

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Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-gr....aduate/machine-learn

Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-gr....aduate/data-science-
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

#timeseries #timeseriespython #machinelearningalgorithms

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About the Course

Edureka’s Course on Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. Throughout the Python Certification Course, you’ll be solving real life case studies on Media, Healthcare, Social Media, Aviation, HR.
During our Python Certification Training, our instructors will help you to:

1. Master the basic and advanced concepts of Python
2. Gain insight into the 'Roles' played by a Machine Learning Engineer
3. Automate data analysis using python
4. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
5. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
6. Explain Time Series and it’s related concepts
7. Perform Text Mining and Sentimental analysis
8. Gain expertise to handle business in future, living the present
9. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

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

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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

Роберт Оппенгеймер, «отец атомной бомбы», трижды выдвигался на Нобелевскую премию, но так её и не получил, при этом вряд ли можно найти учёного чьи труды также сильно изменили ход истории и сформировали мир, в котором мы живём сегодня. В этом видео Дерек Маллер с канала Veritasium расскажет о жизни и работе одного из самых талантливых и неоднозначных физиков в истории.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов, Владимир Курдов
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, Ira Kozlovskaya, Amir, Мikhail Samin, Куляш, Oleg Zingilevskiy, opperatius, Vitaliy Vachynyuk, Таисия, Александр Кагановский, Anatoly Ressin, Ника Калмыкова, Pavel Parpura, Anton Bolotov, Katoto Chan, Eugene Tsaplin, Ihar Marozau, Irina Shakhverdova, Aleksei Shabalin, Victor Cazacov, Oleksandr Hrebeniuk, Timur Sattarov, Kirill Zaslavskii, VEG, Alex Kulakov, Leonid Steinberg, Vladimir Sharich, Morock_D, Katya Ma, Alexander Goida, Maxim Korotkov, Anna Ostrovskaya, Rashn, Nikrodol, Lexx, Шурик Самара, Виктор Харламов, Timophey Popov, MaximML , Арс Ник, asdadasa, Artem Piskarev, Тимур Абдуллин, dv0, Глеб Кочергин, Никита Омельницкий, Artem Sobolenkov, Александр Денисов, Cyril Anonimov.

#vertdider #veritasium

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© https://www.youtube.com/c/veritasium

Источник: https://youtu.be/Xzv84ZdtlE0

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🔵 Read the complete Python tutorial here: https://intellipaat.com/blog/t....utorial/python-tutor

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#PythonCareerOptions #PythonCareerRoadmap #CareerInPython #FutureScopeOfPython #PythonJobDescription #PythonJobs #HowToLearnPython #ImportanceOfPython #Intellipaat

Q. Why Python programming is important?
Python is a highly popular object-oriented language that is fast to learn and easy to deploy. It can run on various systems like Windows, Linux, and Mac; this makes it highly coveted for the Data Analytics domain. Python’s design and libraries provide 10 times productivity compared to C, C++, or Java. A Senior Python Developer in the United States can earn $102,000 – Indeed

Q. Why should you opt for a Python career?
If you want to fast-track your career then you should strongly consider Python. The reason for this is that it is one of the fastest-growing and widely used programming languages. There is a huge demand for Python programmers. The salaries for Python programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat Python programming session is your stepping stone to a successful career!
------------------------------
For more information:
Please write to us at [email protected], or call us at +91- 7847955955 US: 1-800-216-8930(Toll-Free)

Website: https://intellipaat.com/python....-certification-train

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.

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#Edureka #PythonEdureka #NaiveBayes #ClassificationAlgorithem #artificialIntelligenceEdureka #MachineLearningEdureka #howtolearnAIML #learnAIML #withMe

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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
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 be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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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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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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

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Dive into the world of Large Language Models with our How Large Language Models Work video! In this Introduction to LLM video, we explore the fascinating technology behind large language models like GPT-3 and their impact on AI. Discover how these models work, their impressive capabilities, and how they’re transforming fields like natural language processing and machine learning.

Here in this Introduction to LLM video, we cover the following topics:

00:00 Introduction
02:09 From RNNs to Transformers
05:07 Transformer Architecture Diagram
07:21 Why Transformers Can Predict Text?
08:16 What is LLM
09:37 Capabilities
10:39 Real World Applications
11:42 How Do Large Language Models Work?
12:03 Learnings
12:28 Customization Techniques
12:58 Types
13:37 Advantages and Challenges

✅What are large language models?
Large language models are advanced AI systems capable of understanding and generating human-like text based on vast amounts of data. They excel in tasks like translation, summarization, and conversation due to their deep learning architecture

✅Q2 How do large language models work?
They use complex algorithms and deep learning techniques to predict and generate text. By processing large datasets, these models learn patterns in language, enabling them to create coherent and contextually relevant responses.

✅Q3 What are some applications of large language models?
These models are used in chatbots, virtual assistants, automated content creation, and enhancing search engines and recommendation systems.

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⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

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#TransformersInAI #WhatAreTransformers #MachineLearningMode #aiTutorial #mlTutorial #ai #simplilearn

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
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- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
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- And Many More…

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

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Learn about Large Language Models (LLMs), a powerful neural network that enables computers to process and generate language better than ever before. Dale and Nikita share how LLMs work and how you can interact with them via prompts.

Resources:
Try out Bard → https://goo.gle/420KQhw
What is a Transformer? → https://goo.gle/3VABlDw

Subscribe to Google Developers → https://goo.gle/developers

#MachineLearning #MLmodels #LLMs #GenerativeAI

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/microse....rvices-architecture- (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Microservices Full Course video will help you learn Microservices from scratch with examples. This Microservices Tutorial is ideal for both beginners as well as professionals who want to master Microservices Architecture.
00:00:00 Introduction
00:01:03 Agenda
00:02:02 What are Microservices?
00:08:37 What is Microservice Architecture
00:10:38 Microservices Architecture
00:12:57 Features of Microservice Architecture
00:14:08 Advantages of Microservices Architecture
00:21:16 Monolithic Vs Microservices Architecture
00:25:55 Top Microservices Tools
00:44:36 Top 10 Reasons to learn Microservices
00:51:16 Microservice Design Pattern
01:19:04 Installing Spring Boot CLI & Spring Tool Suite
01:36:05 Microservices Spring Boot
01:55:19 Building REST Web Services with Spring Boot
01:58:57 How to Setup REST Services for Spring Boot Application
02:08:30 Microservices Security
02:25:15 Microservices Vs SOA
02:36:49 Use Case
02:42:57 Which is Better SOA Vs Microservices
02:43:06 Microservices Vs API
02:53:23 Microservices Interview Question & Answers

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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What is Kubernetes?

Kubernetes is an open-source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications. You can cluster groups of hosts running Linux® containers, and Kubernetes helps you easily, efficiently manage those clusters.
It has a large, rapidly growing ecosystem. Kubernetes is not a traditional, all-inclusive PaaS (Platform as a Service) system. It can help you deliver and manage containerized, legacy, and cloud-native apps, as well as those being refactored into microservices.

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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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.

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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.

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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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This video explores Artificial General Intelligence and how it will change the world. Watch this next video called Super Intelligent AI: 10 Ways It Will Change The World: https://youtu.be/cVjq53TKKUU.
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