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🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=zkubwWb3m4Q&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=zkubwWb3m4Q&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=zkubwWb3m4Q&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=zkubwWb3m4Q&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=zkubwWb3m4Q&utm_medium=DescriptionFirstFold&utm_source=Youtube
This video on the Artificial Intelligence full course video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies.
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⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq
⏩ Like the video? Share Your Genuine Reviews: Let's Hear Your Experiences!
https://www.reddit.com/r/Simpl....iLearn/comments/1bpr
#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn
What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.
➡️ 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
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's Job Assist 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
- Neural Networks
- Computer Vision
- And Many More…
👉Learn more at: https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=zkubwWb3m4Q&utm_medium=Description&utm_source=Youtube
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Join here: https://slm.vizuara.ai/
Sam Altman, President of Y Combinator, and Dustin Moskovitz, Cofounder of Facebook and Asana, kick off the How to Start a Startup Course. Dustin discusses Why to Start a Startup and Sam introduces the 4 key components of Starting a Startup: Idea, Product, Team and Execution.
http://www.slideshare.net/Stev....enPham7/lecture-1-ho
Explore Stanford Online courses: https://online.stanford.edu/explore
🔥 Edureka's Professional Certificate Program in DevOps in collaboration with Purdue University: https://www.edureka.co/executi....ve-programs/purdue-d
In this video, we walk you though why you should consider becoming a DevOps Engineer. We also talk about the benefits of doing a the Professional Certificate Program in DevOps from Edureka and Purdue University.
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝
---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬---------
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🔵 Automation Testing Engineer Masters Program : https://bit.ly/3E0rFcZ
🌕 Python Developer Masters Program : https://bit.ly/3j8YYkg
🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax
--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
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Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2
Day of Anger - A scruffy garbage boy becomes the pupil of a famed gunfighter.
Day Of Anger (1967):
Director: Tonino Valerii
Writers: Ernesto Gastaldi, Tonino Valerii
Stars: Lee Van Cleef, Giuliano Gemma, Walter Rilla
Genres: Action, Western
Runtime: 1h 26Min
Country: Italy | West Germany
Language: Italian | English
Release Date: November 1969 (USA)
Also Known As: Days of Wrath
Filming Locations: Cinecittà Studios, Cinecittà, Rome, Lazio, Italy
Storyline:
Amiable, unassertive Scott Mary picks up the trash, cleans the toilets, sweeps the floors in the town of Clifton. Then a gunfighter comes to town. He offers advice and guidance to Scott who quickly begins to toughen and mature, thus upsetting the balance of power in the town. Written by dinky-4 of Minneapolis.
Review:
Really good, from the languorous, elegiac opening to the full throttle finish, I enjoyed it all. I note that IMDb shows a running time of 95 minutes whilst my new Arrow DVD runs nearer 115. Can that be so, 20 minutes cut from the previous print? It is just possible for there is a surprisingly large amount of time given to introduction of the characters and the town so that we might become totally involved. Goodness knows what anyone would make of much of this film without the precious opening ten minutes where Giuliano Gemma is introduced to us, literally as a sh*t shoveler before coming under the wing of the majestic Lee van Cleef. The famous Almeria set and surrounds plays its part well too and whilst the tale is fairly simple (revenge!) it is so well told and whilst the opening scenes seem to show a ghost town by the end we have seen it teeming with folks from all around. A fine film with much violence. Written By Christopher-Underwood.
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If you are thinking about buying one... or two... GPUs for your deep learning computer, you must consider options like Ampere, GeForce, TITAN, and Quadro. These brands are rapidly evolving. In this video, I discuss this ever-changing landscape as of January 2021.
1:50 Cooling a GPU
2:40 Cooling 2 GPUs
3:10 NVLink
4:55 GPU Memory
7:00 NVIDIA GeForce 30 Series
8:26 Quadro
9:10 Multiple GPUs
14:14 More on NVLink
15:01 GPUs on Laptops
17:18 So what GPU would I get
Lenovo ThinkStation:
https://www.lenovo.com/us/en/t....hink-workstations/th
~~~~~~~~~~~~~~~ BUY A GPU ~~~~~~~~~~~~~~~~~~~~
NVIDIA 3090 GPU: https://amzn.to/3x6Kpph
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~~~~~~~~~~~~~~~ MY DEEP LEARNING COURSE ~~~~~~~~~~~~~~~
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#Python #Tensorflow #Keras
With the MVTec Deep Learning Tool it’s possible to train a deep-learning-based classification model from scratch. First, we import images of your application – using the folder structure, the Deep Learning Tool can assign labels automatically. We can then easily review our data by filtering the images according to these labels. After that, we train the model using transfer learning and pretrained networks provided by MVTec. Lastly, we can review the trained model in detail, using a confusion matrix, heatmaps and more. In this video, version 0.5 of the Deep Learning Tool is used. The exported trained model including the associated dictionary, which contains the preprocessing parameters, can be imported into HDevelop and MERLIC and then used for inference.
In this video, version 0.5 of the Deep Learning Tool is used.
Get more information at https://www.mvtec.com/products/deep-learning-tool/
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐒𝐩𝐚𝐫𝐤 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/pyspark....-certification-train
This Edureka Spark Full Course video will help you understand and learn Apache Spark in detail. This Spark tutorial is ideal for both beginners as well as professionals who want to master Apache Spark concepts.
00:00:00 Introduction
00:00:52 Agenda
00:02:28 What is Apache Spark?
00:08:45 Apache Spark Architecture
00:21:42 How to Become a Spark Developer?
00:31:41 What is Scala?
00:34:25 Features of Scala
00:36:43 Data Types in Scala
00:38:01 Variables in Scala
01:05:54 What is RDD in Spark?
01:09:45 Features of RDD
01:11:29 Creation of RDDs
01:15:13 Operation in RDDs
01:30:13 Spark DataFrame
01:35:03 Creation of DataFrames
01:47:58 Spark SQL
01:57:48 Features of Spark SQL
02:00:02 Spark SQL Architecture
02:06:24 Starting up Spark Shell
02:21:08 Use Cases
02:39:48 Spark Streaming
02:47:29 Spark Streaming Overview
03:20:24 Use Cases
03:26:33 What is ML
03:35:37 Phases of ML
03:47:03 Different Types of ML
03:47:23 Supervised Learning
03:55:55 Reinforcement Learning
03:58:14 Reinforcement Learning - UseCase
04:00:19 Unsupervised Learning
04:09:41 Spark ML Library - Mlib
04:18:32 Typical Steps in ML Pipeline
04:21:03 Types of Graph
04:49:34 Graph Builder
04:55:34 Vertex & Edge RDD
05:27:47 Graph Algorithm
05:51:13 Spark GraphX Demo
05:21:20 Spark Java
06:06:55 Hadoop MapReduce Vs Spark
06:19:56 Apache kafka with spark streaming
06:30:36 Demo
06:43:22 Kafka Spark streaming Demo
07:09:35 Kafka Spark Streaming Project
07:13:24 Spark Use Cases
07:25:24 PySpark Installation
07:36:53 Spark Interview Question & Answers
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🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
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NIT Warangal: http://bit.ly/3OuZ3xs
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
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In this video I am going to show you how to tailor (train) the OpenAI Davinci model responses for your chatbot using JavaScript.
00:00 Intro
00:07 Preparing the Data
01:11 Installing OpenAI
02:35 Getting the API Key
02:51 Uploading the data to OpenAI
05:00 Creating a Fine Tune Job
06:16 Checking the progress of the Fine Tune Job
09:20 Get list of Fine Tune Models
10:30 Testing the model
12:00 Cancel a Fine Tune Job
12:41 Delete a Fine Tune Model
13:03 Outro
Learn how to create an Angular 11 project from scratch in this full course. It uses a public API to create a game database website. You will gain a great foundation for building Angular applications.
You will learn how to how to set up a project using Angular CLI, how to create components, how to make http calls, how to implement http interceptors, how to make services.
Also you will learn how to set up routes for your application and how to pass data with routes between the components. You will learn to use pipes and various Angular directives like ngFor, ngIf, and more.
✏️ Course created by Slobodan Gajic. Check out his channel: https://www.youtube.com/channe....l/UCBu5ulO4d-d47lAVy
💻 Code: https://github.com/bobangajicsm/ng-video-games-db
🔗 API details: https://rapidapi.com/accujazz/....api/rawg-video-games
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:00) Installation of project and modules
⌨️ (0:04:28) Search bar component
⌨️ (0:06:13) Styling search bar
⌨️ (0:09:36) Creating home component
⌨️ (0:10:03) Creating routes
⌨️ (0:15:08) Styling home component
⌨️ (0:18:58) Creating http service
⌨️ (0:21:23) Creating typescript models
⌨️ (0:23:43) Creating http interceptors
⌨️ (0:28:13) Implementing home component
⌨️ (0:35:13) Implementing sort menu
⌨️ (0:40:28) Creating details component
⌨️ (0:47:13) Styling details component
⌨️ (0:57:43) Details tabs component
⌨️ (1:02:33) Styling tabs
⌨️ (1:04:43) Implementing data into tabs
⌨️ (1:10:38) Final review
--
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🔥Intellipaat Salesforce Training: https://intellipaat.com/salesforce-training/
In this salesforce full-course video, you will learn salesforce from scratch to the most advanced concepts. This salesforce training video for beginners has covered everything you need to know about salesforce to become a salesforce developer. We have added salesforce interview questions also at the last so that you can prepare for the job interview as well.
#SalesforceTraining #SalesforceCourse #SalesforceTrainingVideosForBeginners #Learnsalesforce #SalesforceCourse #SalesforceTraining #Intellipaat
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Why should you watch this Salesforce tutorial?
Salesforce is a cloud based platform which has transformed how companies have changed the ways to connect, build meaningful and lasting bond with the customers, identify their needs and address problems faster and deploy apps that are customer focused. We are offering the top Salesforce tutorial that can be watched by anybody to learn Salesforce.
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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
Наши предки уже испытывали на себе последствия взрывов сверхновых и гиперновых? И что будет, если в космических окрестностях Земли на днях взорвётся ещё что-нибудь?
Взрывы сверхновых — одни из самых мощных во Вселенной. Огромное количество материи и излучения разлетается во все стороны со скоростью, близкой к скорости света. О том, что произойдёт, если на пути этого потока высокоэнергетических частиц окажется Земля, Дерек Маллер отвечает в своём новом видео.
Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Игорь Тирский
Озвучка: Дмитрий Чепусов, Алексей Никитин
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, JIukaviy, Куляш, Dmitrii Komarevtsev, Мikhail Samin, Roman Inflianskas, Oleg Zingilevskiy, Alena, Vitaliy Vachynyuk, Ника Калмыкова, opperatius, Aleksandr P., Pavel Parpura, Katoto Chan, Anton Bolotov, Anatoly Ressin, Eugene Tsaplin, angel, Artem Amirbekov, Victor Cazacov, Kirill Zaslavskii, Vladyslav Sokolenko, Alexander Balynskiy, Dzmitryi Halyava, Ihar Marozau, Kseniya Stukova, POD666, Aleksei Shabalin, Irina Shakhverdova, Vadim Velicodnii, David Malko, Nastya, Evgeny Vrublevsky, Stanislav Obrazcoff, Kirill Vedensky, Валентин Матвейчик, Leonid Steinberg, Alexander Goida, Katya Ma, Morock_D, Sergey P, Ilya, Oleksandr Hrebeniuk, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Nikrodol, Lexx, Rincewind, Alexander Lebedev, Roman Gelingen, Sonra44, Сергей Клопов, Ranis Zaripov, Timophey Popov, MaximML , Rekvet, Илья Зверев, Никита Омельницкий, Timur Rahmatulin, Иван Новиков, Арс Ник, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Точка Зрения, SpireX, Maxim Khaustov, Р Ч.
#VertDider #Veritasium
Сайт студии: http://vertdider.tv
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/evUfG3lrk5U
Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
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Есть мнение, что атомное оружие, если его не применять, становится сдерживающим фактором, благодаря которому в мире не так много войн. Возможно, это так, но ядерные и термоядерные заряды опасны просто находясь на вооружении, ведь от случайностей не застрахован никто. В этом видео Дерек Маллер с канала Veritasium расскажет о водородных бомбах, случайно упавших у побережья Испании, потерянных ядерных ракетах и о нескольких случаев, когда человечество случайно чуть не начало ядерную войну.
Перевод: Егор Афонин
Редактура: Алексей Малов
Научная редактура: Павел Ху
Озвучка: Дмитрий Чепусов, Алексей Никитин
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, Мikhail Samin, Куляш, Oleg Zingilevskiy, opperatius, Vitaliy Vachynyuk, Mykola Korniichuk, Anatoly Zapadinsky, Eugene Tsaplin, Pavel Parpura, Anton Bolotov, Katoto Chan, Ника Калмыкова, Ihar Marozau, Irina Shakhverdova, Aleksei Shabalin, Kirill Zaslavskii, Victor Cazacov, Oleksandr Hrebeniuk, Timur Sattarov, VEG, Vladimir Sharich, Maxim Korotkov, Morock_D, Alexander Goida, Alex Kulakov, Leonid Steinberg, Anna Ostrovskaya, Alexander Lebedev, Lexx, Nikrodol, Rashn, Rincewind, Sonra44, Виктор Харламов, Шурик Самара, Artem Piskarev, Artem Sobolenkov, Artem Sobolenkov, Being of Whiteout, Cyril Anonimov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, Timur Rahmatulin, asdadasa, dv0, pervprog, Адам Шифф, Александр Денисов, Арс Ник, Василий , Глеб Кочергин, Дмитрий Казанов, Иван Новиков, Илья Зверев, Кожаный Гусь, Никита Омельницкий, Никита Омельницкий, Никита Омельницкий, Никита Цикалин, Тимур Абдуллин.
#vertdider #veritasium
Сайт студии: http://vertdider.tv
Мы в социальных сетях:
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium
Источник: https://youtu.be/ILgSesWMUEI?si=3eo25cC6Lf0ARrkg
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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.
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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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