🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka video on 𝐂𝐚𝐧𝐜𝐞𝐫 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, will help you understand how to develop models using Convolution Neural Networks. We will also have a discussion on improving model accuracy using pretrained models. Below are the topics covered in Cancer Detection Using Deep Learning video :
00:00:00 Introduction
00:00:52 Introduction to Deep Learning
00:02:57 Deep Learning General Intuition
00:05:43 Image Processing Using DL
00:16:54 Brain Tumor Detection Using Custom Model
01:07:43 Transfer Learning
01:11:21 CNN Architectures

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Video on Supply Chain Management will enable you to comprehend supply chain management in detail. This video will equip you with a good understanding of What Is Supply Chain Management using Apple INC's case study. The case study will emphasize the iPhone 13 pro's supply delays and production cut. You will also learn about the reasons behind the production cut and how a sleek supply chain management strategy can be created.

Please share your feedback below and don't forget to take the quiz at 04:44!

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#SupplyChainManagement #WhatIsSupplyChainManagement #SupplyChainManagementExplained #SupplyChainManagementLecture #Simplilearn

✅What Is Supply Chain Management?
The term supply chain is a connected network of individuals, organizations, resources, activities, technologies involved in the manufacturing and sales of a product or service. Companies develop supply chains so that they can reduce their costs and remain competitive in the business landscape.

✅What Are The Stages of Supply Chain Management?
Five stages altogether formulate a supply chain management strategy. You will now discover them in brief:

⏩ Planning Operational Strategy: The main focus at this stage is to focus on designing a strategy that yields maximum profit.

⏩ Sourcing: Following the planning, the next phase is to develop or source. At this stage, you are primarily concerned with developing strong relationships with raw material suppliers.

⏩ Manufacturing (Making): The products are created, manufactured, tested, packaged, and synchronized for delivery at this step. The supply chain managers are tasked with arranging all manufacturing, testing, packaging, and delivery preparation activities.

⏩ Delivery: This phase deals with product sales and distribution of products across all retail stores. It is a logistics phase, where consumer orders are approved, and product delivery is set into motion.

⏩ Returns: This last phase controls the return of defective or damaged products by consumers. This level of the supply chain is frequently a source of contention for many businesses. Supply chain planners must devise a responsive and adaptable network for receiving damaged, faulty, and additional items from consumers and expediting the return procedure for customers concerned with supplied products.

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Supply chain management is critical for any organization. The following are some of the advantages that a well-managed supply chain can provide:
-An adequate supply chain can enhance product quality by regulating manufacturing processes.
-A well-managed supply chain can lower the risk of recalls and litigation by enhancing customer satisfaction.
-Control over shipping methods will remove the possibility of inventory overstock.
-Helps organizations in enhancing their profit margins.
-It can help attain a wide range of organizational objectives.


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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐏𝐲𝐭𝐡𝐨𝐧 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐜𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This Edureka "Python Developer Roadmap" video ( Python Developer Roadmap Blog) takes you through the steps through which you should ideally approach the learning path to become a Python Developer. Becoming a Python developer can be easy and rewarding if approached strategically. So go through this video and find the perfect tested approach to becoming a Python developer. Below are the topics covered in this How to Become a Python Developer tutorial:

00:00 Introduction
01:01 Python Coding
03:32 Version Control
04:14 Learn a Framework
06:31 Application Testing
07:15 Conclusion

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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.

We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3. We talk about connections to ChatGPT, which has taken the world by storm. We watch GitHub Copilot, itself a GPT, help us write a GPT (meta :D!) . I recommend people watch the earlier makemore videos to get comfortable with the autoregressive language modeling framework and basics of tensors and PyTorch nn, which we take for granted in this video.

Links:
- Google colab for the video: https://colab.research.google.....com/drive/1JMLa53HDu
- GitHub repo for the video: https://github.com/karpathy/ng-video-lecture
- Playlist of the whole Zero to Hero series so far: https://www.youtube.com/watch?v=VMj-3S1tku0&list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
- nanoGPT repo: https://github.com/karpathy/nanoGPT
- my website: https://karpathy.ai
- my twitter: https://twitter.com/karpathy
- our Discord channel: https://discord.gg/3zy8kqD9Cp

Supplementary links:
- Attention is All You Need paper: https://arxiv.org/abs/1706.03762
- OpenAI GPT-3 paper: https://arxiv.org/abs/2005.14165
- OpenAI ChatGPT blog post: https://openai.com/blog/chatgpt/
- The GPU I'm training the model on is from Lambda GPU Cloud, I think the best and easiest way to spin up an on-demand GPU instance in the cloud that you can ssh to: https://lambdalabs.com . If you prefer to work in notebooks, I think the easiest path today is Google Colab.

Suggested exercises:
- EX1: The n-dimensional tensor mastery challenge: Combine the `Head` and `MultiHeadAttention` into one class that processes all the heads in parallel, treating the heads as another batch dimension (answer is in nanoGPT).
- EX2: Train the GPT on your own dataset of choice! What other data could be fun to blabber on about? (A fun advanced suggestion if you like: train a GPT to do addition of two numbers, i.e. a+b=c. You may find it helpful to predict the digits of c in reverse order, as the typical addition algorithm (that you're hoping it learns) would proceed right to left too. You may want to modify the data loader to simply serve random problems and skip the generation of train.bin, val.bin. You may want to mask out the loss at the input positions of a+b that just specify the problem using y=-1 in the targets (see CrossEntropyLoss ignore_index). Does your Transformer learn to add? Once you have this, swole doge project: build a calculator clone in GPT, for all of +-*/. Not an easy problem. You may need Chain of Thought traces.)
- EX3: Find a dataset that is very large, so large that you can't see a gap between train and val loss. Pretrain the transformer on this data, then initialize with that model and finetune it on tiny shakespeare with a smaller number of steps and lower learning rate. Can you obtain a lower validation loss by the use of pretraining?
- EX4: Read some transformer papers and implement one additional feature or change that people seem to use. Does it improve the performance of your GPT?

Chapters:
00:00:00 intro: ChatGPT, Transformers, nanoGPT, Shakespeare
baseline language modeling, code setup
00:07:52 reading and exploring the data
00:09:28 tokenization, train/val split
00:14:27 data loader: batches of chunks of data
00:22:11 simplest baseline: bigram language model, loss, generation
00:34:53 training the bigram model
00:38:00 port our code to a script
Building the "self-attention"
00:42:13 version 1: averaging past context with for loops, the weakest form of aggregation
00:47:11 the trick in self-attention: matrix multiply as weighted aggregation
00:51:54 version 2: using matrix multiply
00:54:42 version 3: adding softmax
00:58:26 minor code cleanup
01:00:18 positional encoding
01:02:00 THE CRUX OF THE VIDEO: version 4: self-attention
01:11:38 note 1: attention as communication
01:12:46 note 2: attention has no notion of space, operates over sets
01:13:40 note 3: there is no communication across batch dimension
01:14:14 note 4: encoder blocks vs. decoder blocks
01:15:39 note 5: attention vs. self-attention vs. cross-attention
01:16:56 note 6: "scaled" self-attention. why divide by sqrt(head_size)
Building the Transformer
01:19:11 inserting a single self-attention block to our network
01:21:59 multi-headed self-attention
01:24:25 feedforward layers of transformer block
01:26:48 residual connections
01:32:51 layernorm (and its relationship to our previous batchnorm)
01:37:49 scaling up the model! creating a few variables. adding dropout
Notes on Transformer
01:42:39 encoder vs. decoder vs. both (?) Transformers
01:46:22 super quick walkthrough of nanoGPT, batched multi-headed self-attention
01:48:53 back to ChatGPT, GPT-3, pretraining vs. finetuning, RLHF
01:54:32 conclusions

Corrections:
00:57:00 Oops "tokens from the _future_ cannot communicate", not "past". Sorry! :)
01:20:05 Oops I should be using the head_size for the normalization, not C

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Dataset Link - https://drive.google.com/drive..../folders/1E6i_Ny-yW7

Below are a few questions that you will learn:
00:00:00 SQL Interview Questions and Answers
00:00:53 Write an SQL query to fetch the unique values of departments and print their length.
00:16:26 Write an SQL query to display the departments that have more than 2 employees.
00:27:49 Print all the alternate records in a table.
00:34:06 Write the SQL query to fetch all the duplicate rows in a table.
00:37:53 Display the employees with exactly 2 A's in their name.
00:45:54 How does Self join work?
00:53:35 Write an SQL query to print one row twice in results from a table.
01:19:54 Using the Orders table in the Northwind database, find all the month-end orders.
01:22:23 Find the top 5 countries with the highest freight charges in the year 1997.
01:29:10 Using the Northwind database, find the list of late orders for all the employees.

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"

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This video, "Who Is A Business Analyst" by Simplilearn, will help you understand who is a business analyst and what does a business analyst do. Here, you will be acquainted with the roles and responsibilities of a business analyst through an interesting story. Business analysts carry out several duties, so let's get started and look at a day in a business analyst's life.
The topics covered in this video on who is a business analyst are:
00:00:00 Who Is A Business Analyst?
00:00:55 Planning the Project
00:01:48 Understand the Business Objectives
00:02:11 Gather Requirements
00:02:34 Allocate Resources
00:03:06 Provide Suggestions
00:03:23 Collect Feedback
00:03:50 Build Reports
00:04:21 Conduct Meetings
00:04:42 Documentation and Presentation
00:05:31 Who Is a Business Analyst

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Build a simple yet powerful chatbot with GPT-3 for free in 5 minutes with only 20 lines of code.

===LINKS===
In-depth blog tutorial: https://medium.com/@techieray/....build-a-basic-gpt-3-

OpenAI signup: https://beta.openai.com/signup
OpenAI API documentation: https://beta.openai.com/docs/introduction/overview

===FOLLOW ME (techie_ray)===
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Personal website: https://www.techieray.com/

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This Apache Spark full course will help you learn the basics of Big Data, what Apache Spark is, and the architecture of Apache Spark. Then, you will understand how to install Apache Spark on Windows and Ubuntu. You will look at the important components of Spark, such as Spark Streaming, Spark MLlib, and Spark SQL. Finally, you will get an idea about implementing Spark with Python in the PySpark tutorial and look at some of the important Apache Spark interview questions.

The below topics are explained in this Apache Spark Full Course:
What is Apache Spark
Spark Installation on windows
Spark Installation on Ubuntu
Apache Spark Architecture
Spark case study
Spark Streaming
Spark SQL
Spark MLlib
Understanding PySpark
Apache Spark Interview Questions

To learn more about Spark, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

Watch more videos on Spark Training: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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This Apache Spark and Scala certification training is designed to advance your expertise in working with the Big Data Hadoop Ecosystem. You will master essential skills of the Apache Spark open source framework and the Scala programming language, including Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark. This Scala Certification course will give you vital skillsets and a competitive advantage for an exciting career as a Hadoop Developer.

What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.

What are the course objectives?
Simplilearn’s Apache Spark and Scala certification training are designed to:
1. Advance your expertise in the Big Data Hadoop Ecosystem
2. Help you master essential Apache and Spark skills, such as Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark

What skills will you learn?
By completing this Apache Spark and Scala course you will be able to:
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ChatGPT is more than just a language model, it can be used to create websites, businesses and much more. And I would know best, as I created, built, and sold a business using OpenAI platform just this year. So in this video, I’m going to explain how to use ChatGPT and its models so you can do the same. The video is structured in three parts.

⭐ New - Teach Me OpenAI Digital Book ⭐
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I've put together a easy to understand book with ~60 pages about OpenAI and GPT with how to get started to integrate it into projects, code examples, and much more!

Try the OpenAI Template - Starter Kit I've made
https://enhanceui.gumroad.com/....l/chatgpt-starter-te
This is new and ready for those looking to kickstart their own app or website using the OpenAI GPT models. I've built it on MERN it should save you over 100 hours if you want to build or test your own ideas! This also supports the channel if you have found these videos of benefit!

New - ChatGPT Starter Kit
https://enhanceui.gumroad.com/....l/chatgpt-template-s

Video 1 - What is ChatGPT (Introduction)
https://youtu.be/40Kp_fa8vIw

Video 2 - Crash Course ChatGPT
https://youtu.be/JTxsNm9IdYU

Video 3 - I created a SaaS in 30 days
https://youtu.be/UBG_YiTg_Bs

OpenAI ChatGPT:
https://chat.openai.com/chat

#chatgpt #website #ai

Learn Design for Developers!
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Boost your digital-age project leader journey with this project management certification program aligned with PMI-PMP® and IASSC-Lean Six Sigma. Attend live online interactive classes, masterclasses from UMass Amherst, Harvard Business Publishing case studies, and capstone projects. This project management program will cover strategization and management - project, program, risk, quality, complexity management, customer-centric digital transformation, PMO implementation, and agile and scrum skills; and allow you to earn 146 PDUs towards the renewal of PMI certifications.

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Get the Android app: http://bit.ly/1WlVo4u
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This video on "Copywriting For Beginners 2023" will put a light on market demands for copywriters, companies hiring copywriter with average salaries, and how one can become a skilled copywriter. We will share top 10 copywriting tips, which will help you have a successful copywriting career. So let's begin

00:00 Copywriting for beginners 2023
01:58 What is Copywriting
Top 10 copywriting tips for beginners
02:47 Understanding Target Audience
03:30 Create Strong Headline
04:14 Make Clear and Concise Copy
04:54 Use Active Voice
05:38 Focus on Benefits
06:18 Incorporate Storytelling
06:59 Must Have Call to Actions
07:35 Include Compelling Phrases
08:11 Proofread
08:39 Test Your Copy

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Top 10 Copywriting Tips For Beginners
✅ Understand the target audience: Research your target needs and design your text or copy accordingly. Use language that request your target audience and addresses their specific needs. This will make your copy more relatable and effective in grabbing their attention and ultimately letting them to take action.
✅ Create a strong headline: Headline should not only be attention grabber but also informative showing exact details of what your copy is about in a summarize manner. Tools like headline analyzer from CoSchedule and Monster Insights may help copywriters in this task.
✅ Be clear and concise: Keep your copy simple and straightforward. Avoid using overly technical language or industry jargon that you target audience may not understand. Tools like copy.ai, grammarly and wordtune can help you in this task.
✅ Use active voice: Writing in the active voice makes your copy more engaging and easier to understand. It puts the focus on the subject and highlights their actions, making your copy more relatable. In contrast, writing in the passive voice can make your copy feel distant and disinterested. Scalenut and Sapling are the tools to transform passive voice content into active voice.
✅ Always focus on benefits: When writing your copy, focus on the outcomes and results that your product or service will deliver. This will help to connect with your target audience on an emotional level and convince them to take action.
✅ Watch the complete video to know futher copywriting tips for beginners

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Want to build your own ChatGPT or learn the advanced ways to use Chat GPT? This video will be a more advance tutorial about OpenAI and its AI models, how to do prompts, generate content, and finally build an application based on its API.

⭐ New - Teach Me OpenAI Digital Book ⭐
https://enhanceui.gumroad.com/l/teach-me-openai
I've put together a easy to understand book with ~60 pages about OpenAI and GPT with how to get started to integrate it into projects, code examples, and much more!

Try the OpenAI Template - Starter Kit I've made
https://enhanceui.gumroad.com/....l/chatgpt-starter-te
This is new and ready for those looking to kickstart their own app or website using the OpenAI GPT models. I've built it on MERN it should save you over 100 hours if you want to build or test your own ideas! This also supports the channel if you have found these videos of benefit!

New - ChatGPT Starter Kit
https://enhanceui.gumroad.com/....l/chatgpt-template-s

00:00 - Introduction
00:55 - OpenAI Template Starter Kit
01:40 - Part 1. Prompt Engineering for ChatGPT & AI
02:29 - Part 1. Examples of Chat GPT Prompts
03:58 - Part 1. OpenAI Playground and Promps
04:53 - Part 1. Example 1 AI Q&A Prompt
06:45 - Part 1. Example 2 AI Airport Prompt
08:00 - Part 1. Example 3 AI Code Prompt
09:42 - Part 2. OpenAI Models and Uses
10:35 - Part 2. GPT3 Models Davinci Curie etc
11:54 - Part 2. Coding Models Codex, Crushman
12:41 - Part 2. OpenAI API Pricing and Tokens
13:44 - Part 2. Comparing AI Model and Outputs
15:18 - Part 2. Prompt variables for Temp, Length etc
16:55 - Part 2. OpenAI Fine-tuned models
17:26 - Part 2. Summary and Recap
17:47 - Part 3. Technical Chat GPT Introduction
18:00 - Part 3. Dependencies (NodeJS, CRA, API Keys, etc)
18:50 - Part 3. Create React Application
19:30 - Part 3. Express Web API
21:09 - Part 3. Frontend React JS Component setup
22:46 - Part 3. Backend Express OpenAI API setup
26:10 - Part 3. Fetch data from Client to Server to API (OpenAI)
29:44 - Part 3. Intro to Advanced Uses API
30:10 - Part 3. Example 1: Advanced API ChatGPT like Chatbot
35:21 - Part 3. Example 2: Advanced Terminal Chat GPT bot
36:41 - Conclusion

This video focused on the more advanced and technical aspects of GPT3 and its models. If you want a more beginner video on ChatGPT, I've you can access the following ones below:

1. What is ChatGPT
https://youtu.be/40Kp_fa8vIw

2. ChatGPT Tutorial for Beginners
https://youtu.be/JTxsNm9IdYU

3. How to use ChatGPT
https://youtu.be/3aV5-q8vRz8

#chatgpt #ai #openai

Discord: https://www.editorx.com/editor-x/codex

MIT Introduction to Deep Learning 6.S191: Lecture 7
Deep Learning Limitations and New Frontiers
Lecturer: Ava Amini
2023 Edition

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline - coming soon!


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Dr. Matthew Lungren presents labeling work using deep learning at the NIH AI Radiology workshop 2018

At Computex 2023, Nvidia CEO Jensen Huang reveals what communications like video conferencing will look like when generative AI is applied.

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How To Use GPT-4 (GPT-4 Tutorial)

GPT-4 is the latest and greatest language processing tool on the market, and in this video, we'll share 10 secret tips and tricks to help you get the most out of this amazing technology.

Our expert team has spent countless hours working with GPT-4, and we're excited to share our insights with you. Whether you're a content creator, researcher, or just curious about the capabilities of GPT-4, these tips and tricks will help you use it more effectively and efficiently.

From creating more natural language output to improving your model's accuracy, our tips will help you take your GPT-4 skills to the next level. So don't miss out on this valuable information! T