🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐚𝐥𝐞𝐬𝐟𝐨𝐫𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/salesfo....rce-administrator-an (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
In this Edureka youtube live session, we will show you user management which is the primary task of a Salesforce Administrator. We will take you through how user licenses can be managed, how profiles and permission sets can be assigned to existing and new users.
Below are the topics we will cover in this live session:
1. Difference between Salesforce Administration and Development
2. Salesforce Administrator's: User Management Task
a. Managing User Licenses
b. Assigning Profiles
c. Using Permission Sets

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


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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.

🔥 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

Subscribe to our channel to get video updates. Hit the subscribe button above.

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

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

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

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

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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If you’re interested in using Machine Learning and LLMs at your organization, or just want some insight into best practices, this one is for you!

In this live session with Machine Learning Upgrade author Kristen Kehrer, you’ll learn about key concepts like MLOps, LLMs, ML Infrastructure, and how all of these things can fit together in a holistic, end-to-end system.

You’ll leave with a better understanding of cutting edge Machine Learning tech and organizational best practices so you can help forge the future in data.

What You'll Learn:
1) How LLMs are being used in the world of unstructured data
2) How you can leverage MLOps techniques when building LLM-powered applications
3) Best practices for prompt writing, prompt testing, and evaluating LLMs

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

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This Introduction to Artificial Intelligence Full Course by Simplilearn provides a complete roadmap to mastering AI. It begins with an introduction to artificial intelligence, its future, and essential concepts like machine learning, deep learning, and generative AI. You’ll explore AI careers, the AI engineer roadmap, and how to land a job in this field. Dive into practical tutorials on using AI for coding, creating digital products, and building websites. Advanced topics include transformers, reinforcement learning, Q-learning, and LangChain. You’ll learn about AI bias, multimodal AI, and concepts like LLMs, benchmarking, and running models privately. The course also covers prompt engineering, data analytics with AI, and AI-powered tools like Cursor AI. Additionally, you’ll get hands-on with projects for beginners, including machine learning and AI, and explore top hackathons in India. Finally, you’ll gain insights into interview preparation and how to earn money using tools like ChatGPT.

00:00:00 Introduction To Artificial Intelligence Full Course
00:08:08 Introduction To Artificial Intelligence
00:17:14 Future Of Artificial Intelligence
00:24:13 Deep Learning Tutorial For Beginners
00:36:17 Best Artificial Intelligence Coding tools
00:45:55 Top 10 Technologies To Learn
00:52:37 Artificial Intelligence Careers Tutorial
01:04:31 How Create And Sell Digital Products Using AI
01:05:16 What Is Generative AI
01:15:48 Artificial Intelligence Engineer Roadmap
01:30:53 How To Get A Job In Artificial Intelligence
02:27:30 What Is Machine Learning
02:33:11 AI Bias
02:38:53 Open AI Strawberry
02:45:04 Difference between Artificial Intelligence, Machine Learning, And Deep Learning
02:46:11 Run Lama Privately
02:54:55 Introduction To LLM
03:08:24 LLM Benchmarkeing
03:14:01 Mutimodel Artificial Intelligence
03:33:52 Chatgpt Analyse Tutorial
03:34:53 Transformers In Artificial Intelligence
06:59:07 Reinforcement Learning
06:59:57 Q Learning
07:22:58 Langchain Explained
07:37:26 What Is Prompt Engineering
07:59:49 Data Analytics Using Artificial Intelligence
08:01:31 Cursor AI
10:17:41 Recurrent Neural Network
10:35:26 Machine Learning Projects For Beginners
11:01:07 Build Website With Artificial Intelligence
11:19:18 Confusion Matrix In Machine Learning
11:27:32 Top Hackathons In india
11:40:51 Artificial Intelligence Projects With Source Code For Beginers
11:46:00 Generative AI Tools For Job Interview
13:41:50 Artificial Intelligence and Deep learning Interview Questions
13:42:50 How To Earn Money Using ChatGPT

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

https://www.reddit.com/r/Simpl....iLearn/comments/1bpr

#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #Simplilearn

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👉Learn more at- https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=6WmtIaIX-bQ&utm_medium=Lives&utm_source=Youtube

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% Discount code: serranoyt

Welcome! I believe that math concepts can be learned through simple explanations, analogies and easy-to-understand visualizations. I am passionate about teaching math concepts in relatable, friendly and simple ways. My videos are designed so that beginners can clearly learn new concepts while experts can see them under a new light. I hope you enjoy the channel and please drop me a line if you have any comments or suggestions. Twitter: @luis_likes_math.

In this video I will show you methods to efficiently load a custom dataset with images in directories. Depending on how your dataset is structured the method that is the easiest could vary and the most common ways to load is either having structured subfolders, a csv with with annotations or simply all of the images in a single folder. We use the functions image_dataset_from_directory, ImageDataGenerator together with flow_from_directory for subfolders. Pandas togethor with from_tensor_slices when dealing with an annotation csv file and lastly list_files when having all inside a single image folder directory. Hope you find this tutorial useful!

I learned a lot and was inspired to make these TensorFlow videos by the TensorFlow Specialization on Coursera. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
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TensorFlow Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

OUTLINE:
0:00 - Introduction
0:29 - Images in subfolders
14:03 - Folder with annotation csv
19:15 - All in single folder
24:53 - Ending

Marantz has released their new Cinema series of 8K receivers for 2022 with their top two models featuring 4 sub outs and Dirac Live room correction upgrade path. The lineup includes 4 receivers; the Cinema 40, 50, 60, and 70s, plus the Cinema AV 10 flagship 16CH AV Processor and matching AMP 10 16CH amplifier. In this video, we go over the feature set of each model and compare the Cinema 50 vs the 40 to help you determine if the $1k price difference is worth it for you.

Join this channel to get access to perks: https://bit.ly/35dZZ7a

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#deeplearning#learningmonkey

In this class we discuss multilayered Perceptron in neural network.
The discussion about single Perceptron is done in our previous class.
In multilayered network first one is considered as input layer.
Next layer we take neurons and this layer we call it first hidden layer.
Input is send to each neuron in the first hidden layer .
We randomly select weights and the input is multiplied with weights and the summation value is taken as output to the neuron.
These outputs are taken as input to second hidden layer.
Here in each neuron we apply activation function. Whats the need of activation function we understand in next classes.
The last layer we call it as output layer.
The output got from last layer is considered as predicted output and loss function applied on the output.


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家入レオ
Digital Single「嘘つき｣（Music Video）
https://jvcmusic.lnk.to/usotsuki

Director : Hiroshi Usui
Director of Photography : Yousuke Omori
Lighting Director : Tatsuya Ishigaki(DOME)
Producer : Koichiro Nogawa(ZINC)
Ryo Nagai(ZINC)
Production : ZINC
Cast : Mucchan(ANIMAL PRO.CORPORATION)


7th Album「Naked」　2023.02.15 Release
【初回限定盤A：CD +DVD】　VIZL-2146　￥5,500（税込）
【初回限定盤B：CD＋DVD】　VIZL-2147　￥4,620（税込）
【通常盤：CD】　VICL-65773　￥3,300（税込）
【ビクターオンラインストア限定盤：CD】 NZS-905　¥4,180（税込）　※10インチ紙ジャケット仕様

【初回限定盤A】
＜CD＞
1. Winter
作詞：家入レオ・Kanata Okajima　作曲：久保田真悟(Jazzin'park)・家入レオ　編曲：久保田真悟(Jazzin'park)

2. 悩みたいだけ
作詞：家入レオ　作曲：久保田真悟(Jazzin'park)・家入レオ　編曲：久保田真悟(Jazzin'park)

3. レモンソーダ
作詞：家入レオ　作曲：須藤優・家入レオ　編曲：須藤優

4. I don’t like you
作詞：家入レオ・Kanata Okajima　作曲：久保田真悟(Jazzin'park)・栗原暁(Jazzin'park)　編曲：久保田真悟(Jazzin'park)

5. 奇跡が足りない
作詞：家入レオ・Kanata Okajima　作曲：久保田真悟(Jazzin'park)・家入レオ・Kanata Okajima　編曲：久保田真悟(Jazzin'park)

6. 嘘つき
作詞：家入レオ・石崎光　作曲・編曲：石崎光

7. Pain
作詞：家入レオ　作曲・編曲：新井弘毅

8. Hikari
作詞：家入レオ・Maika Loubté　作曲・編曲：Maika Loubté

9. 愛は鎖じゃない
作詞：家入レオ　作曲・編曲：新井弘毅

10. 君に未練はないけど、恋に未練がある
作詞：家入レオ・栗原暁(Jazzin'park)　作曲：久保田真悟(Jazzin'park)・家入レオ　編曲：久保田真悟(Jazzin'park)

11. かわいい人
作詞：下村亮介・家入レオ　作曲・編曲：下村亮介

12. Boyfriend
作詞・作曲：家入レオ　編曲：宗本康兵

＜DVD＞
“Billboard Live 〜10th Anniversary〜”を完全収録
花束／a boy／Second Dream／この世界で／Silly／未完成／奇跡が足りない／ずっと、ふたりで／Spark／サブリナ／空と青／Hello

【初回限定盤B】
＜CD＞
初回限定盤A＜CD＞と同内容

＜DVD＞
“Music Video集”
レモンソーダ(Music Video)／Pain(Music Video) ／Pain(Music Video -Another Version-)
かわいい人(Music Video) ／嘘つき(Music Video)／Winter(Music Video) ／嘘つき(Making Movie)／Winter(Making Movie)

【通常盤】
＜CD＞
初回限定盤A＜CD＞と同内容

【ビクターオンラインストア限定盤】※10インチ紙ジャケット仕様
＜CD＞
初回限定盤A＜CD＞と同内容

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