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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐉𝐚𝐯𝐚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/java-j2ee-training-course (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on "Interface on Java" will provide you with detailed knowledge about Java Interface and also cover some real time examples in order to provide you a better understanding of the functionality of Java Interface. This video will cover the following topics:
00:00:00 Introduction
00:00:22 Agenda
00:00:56 What is an Interface?
00:01:30 Why do we need an Interface?
00:03:20 Practical examples on Interface
00:05:32 Interface Nesting
00:07:02 Difference between Class and Interface
00:08:30 Advantages and Disadvantages of Interface
00:09:10 Key Points on Interface.
00:09:55 Practical Examples of Interface on Key Points
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Prepare for JavaScript interview questions focusing on closures, functions, and currying. Throughout the course, you'll delve into various aspects of JavaScript, such as function declarations, expressions, scopes, and hoisting, as well as learning about advanced concepts like closures and lexical scope. You'll also gain a deeper understanding of currying and its practical applications in JavaScript.
Course created by @RoadsideCoder
Useful Links mentioned in the video -
🎥 var, let and const Video - https://www.youtube.com/watch?v=oUWRxJ19gfE&list=PLKhlp2qtUcSaCVJEt4ogEFs6I41pNnMU5
🎥 map, filter, and reduce Video - https://www.youtube.com/watch?v=dGq0gi0wv64&list=PLKhlp2qtUcSaCVJEt4ogEFs6I41pNnMU5&index=2
🎥 FE Interview Experience Video - https://www.youtube.com/watch?v=vxggZffOqek&list=PLKhlp2qtUcSb_WQZC3sq9Vw3NC4DbreUL&index=1
⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:48) Function Declaration
⌨️ (0:02:13) Function Expression
⌨️ (0:02:34) Anonymous Function
⌨️ (0:03:25) First Class Functions
⌨️ (0:04:54) What is IIFE?
⌨️ (0:06:05) IIFE - Interview Question
⌨️ (0:06:59) Closures
⌨️ (0:07:27) Function Scopes
⌨️ (0:09:10) Function Scope - Interview Question
⌨️ (0:10:18) Hoisting in Functions
⌨️ (0:13:40) Hoisting - Interview Question
⌨️ (0:15:46) Params vs Arguments
⌨️ (0:16:25) Spread vs Rest Operators
⌨️ (0:17:43) Interview Question on params, args, spread, rest
⌨️ (0:19:03) Callback Function
⌨️ (0:20:02) Callback Function - Interview Questions
⌨️ (0:20:58) Arrow Functions
⌨️ (0:21:59) Arrow function vs Normal Function
⌨️ (0:25:13) Closures
⌨️ (0:25:50) What is Lexical Scope?
⌨️ (0:27:39) Lexical Scope - Interview Question
⌨️ (0:28:53) What is Closure?
⌨️ (0:29:44) Example of Closures
⌨️ (0:30:57) Why Closure?
⌨️ (0:32:20) Closure Scope Chain
⌨️ (0:35:13) Ques 1 - What will it print?
⌨️ (0:37:10) Ques 2 - Write a function for this
⌨️ (0:39:29) Ques 3 - Time Optimisation with Closures
⌨️ (0:42:08) Ques 4 - setTimeout + block scope with Closures
⌨️ (0:47:08) Ques 5 - Create a private counter
⌨️ (0:49:49) Ques 6 - What is Module Pattern?
⌨️ (0:51:40) Ques 7 - Make this run only once
⌨️ (0:54:18) Ques 8 - Once Polyfill Implementation
⌨️ (0:58:11) Ques 9 - Memoise/Caching Implementation
⌨️ (1:03:46) Ques 10 - Closure vs Scope
⌨️ (1:04:25) Currying
⌨️ (1:04:55) What is Curring in Javascript?
⌨️ (1:05:23) Example of Currying
⌨️ (1:08:17) Ques 1 - Implement sum(2)(6)(1)
⌨️ (1:11:02) Ques 2 - Reusing Variable for logic
⌨️ (1:14:09) Ques 3 - Infinite Currying
⌨️ (1:18:27) Ques 4 - Currying vs Partial Application
⌨️ (1:20:37) Ques 5 - Manipulating DOM
⌨️ (1:23:01) Ques 6 - curry() implementation
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/advance....d-artificial-intelli
This video on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful.The video covers the following topics:
00:00:00 Introduction
00:00:59 Sci-Fi Movies That Might Become Reality
00:01:53 Artificial Intelligence as a Threat
00:03:10 What Is Artificial Intelligence?
00:04:40 Machine Learning
00:06:20 What exactly is Deep Learning?
00:07:26 History of Artificial Intelligence
00:09:05 Artificial Intelligence Use Cases
00:11:50 Artificial Intelligence Applications
00:16:57 Al and Deep Learning With TensorFlow Course
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Ноль, бесконечность, отрицательные числа, мнимые и комплексные числа — всё это и многое другое в математике когда-то считалось чем-то странным и парадоксальным. Тем не менее, со временем, эти концепции становились незаменимыми инструментами в руках специалистов. В этом видео Дерек Маллер с канала Veritasium расскажет о ещё одной такой диковинке — странных бесконечных P-адических числах, которыми пользовались в своих вычислениях более десятка лауреатов Филдсовской премии и, благодаря которым удалось решить Великую теорему Ферма.
Отдельная благодарность за помощь с переводом видео Елене Иконниковой и Сергею Самойленко.
Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Елизавета Миронова, Кирилл Циберкин
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков
Отдельная благодарность Сергею Самойленко
Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:
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Источник: https://youtu.be/tRaq4aYPzCc
▶️ Intellipaat's Advanced Certification in Investment Banking Operations: https://intellipaat.com/invest....ment-banking-course-
Investment banking is a fascinating field that plays a critical role in the global economy. In this video, we explore some of the most interesting investment banking facts that you might not know about. From the history of investment banking to the types of services that investment banks offer, we cover it all.
So if you're curious about investment banking and want to learn more about this fascinating field, be sure to check out this video!
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🔥Edureka Tensorflow Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
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00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models
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00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models
#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining
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How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
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Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
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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).
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Welcome to Simplilearn's Introduction to Prompt Engineering video! In this video, we'll take a few minutes to explain what prompt engineering is and why it's becoming a game-changer in the world of AI. From understanding the basics of prompt engineering to exploring some of the most common use cases, we'll cover everything you need to know to get started with this exciting topic. So, let's dive in and explore the world of prompt engineering together!
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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.
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- Post Graduate Program certificate and Alumni Association membership
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This Edureka video on 𝐇𝐨𝐰 𝐓𝐨 𝐈𝐧𝐬𝐭𝐚𝐥𝐥 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 will show how you can download ChatGPT on your mobile phone in just few seconds. You can create a shortcut app of ChatGPT on your mobile phone which will directly take you to https://chat.apps.openai.com/ with a single click.
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🔵 About Edureka ChatGPT Certification Training Course
Edureka’s ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.
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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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All of the tracks used in my youtube playlists are copyrighted music, so if you see ads in my videos, it's because youtube places them automatically based on copyright-owners needs, I have no control over it, so sorry about that. My channel is NOT a monetized channel. My only goal is sharing nostalgic, road trip music for everyone!
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