We'll be using the numpy module to convert data to numpy arrays, which is what Scikit-learn wants. We will talk more on preprocessing and cross_validation when we get to them in the code, but preprocessing is the module used to do some cleaning/scaling of data prior to machine learning, and cross_ alidation is used in the testing stages. Finally, we're also importing the LinearRegression algorithm as well as svm from Scikit-learn, which we'll be using as our machine learning algorithms to demonstrate results.

At this point, we've got data that we think is useful. How does the actual machine learning thing work? With supervised learning, you have features and labels. The features are the descriptive attributes, and the label is what you're attempting to predict or forecast. Another common example with regression might be to try to predict the dollar value of an insurance policy premium for someone. The company may collect your age, past driving infractions, public criminal record, and your credit score for example. The company will use past customers, taking this data, and feeding in the amount of the "ideal premium" that they think should have been given to that customer, or they will use the one they actually used if they thought it was a profitable amount.

Thus, for training the machine learning classifier, the features are customer attributes, the label is the premium associated with those attributes.

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In this 2018 GDC session, Valve's John McDonald discusses how Valve has utilized Deep Learning to combat cheating in Counter-Strike: Global Offensive.

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In this video, I am building Deep Learning PC build from scratch. Now just a disclaimer, in order to learn deep learning you don't need to have such an expensive setup. Whatever laptop or personal computer you have should still work ok. If you have a requirements for running heavy jobs, you can utilize cloud for that. For me, NVIDIA gave 2500$ Titan RTX GPU for free and than I spent close to 1000$ for other parts to build this PC. My plan is to run some heavy deep learning jobs on this computer and I will be making videos on that in future.
Special thanks to my nephew (Harsh Patel) who helped me a lot during entire PC build process. Thanks Harsh! :)

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PC Parts
========
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32 GB RAM
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BenQ 27 inch monitor
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Wireless keyboard and mouse

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In this Scrum Master full course, we will explain the most important concepts of the Scrum Methodology. Let's start the scrum training!
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Certified Scrum Master Full Course covers what is scrum, the components of the scrum process, the role of a scrum master, the scrum methodology, how scrum meetings work, how scrum and kanban are different from one another, interview questions, and much more!

Below are the topics we will cover in this video:
00:00:00 What is Scrum
00:34:39 Agile Scrum Master Training
01:58:26 Scrum Master Role and methodology
02:20:40 Scrum Meeting
02:30:09 Scrum Vs. kanban
02:41:50 Scrum Interview Questions

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This Post Graduate Program in Cyber Security is designed to equip you with the skills required to become an expert in the rapidly growing field of Cyber Security. This cyber security course aims to help you stay abreast of the latest cyber security trends.

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This Edureka video on "Cybersecurity and Coding: What You Need to Know " will help you understand and learn the fundamentals of Cyber Security. This Cyber Security Tutorial is ideal for beginners who want to get insights into how programing and coding can help you in your quest for a career in Cybersecurity. We will also see how to build a Cryptograhic System using Python.

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

About Edureka Cyber Security Training

Cybersecurity is the combination of processes, practices, and technologies designed to protect networks, computers, programs, data and information from attack, damage or unauthorized access.

Edureka’s Cybersecurity Certification Course will help you in learning about the basic concepts of Cybersecurity along with the methodologies that must be practiced ensuring information security of an organization. Starting from the Ground level Security Essentials, this course will lead you through Cryptography, Computer Networks & Security, Application Security, Data & Endpoint Security, idAM (Identity & Access Management), Cloud Security, Cyber-Attacks and various security practices for businesses.

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

Why Learn Cyber Security?

Cybersecurity is the gathering of advances that procedures and practices expected to ensure systems, PCs, projects and information from assault, harm or unapproved get to. In a processing setting, security incorporates both cybersecurity and physical security, it is imperative since cyberattackers can without much of a stretch take and obliterate the profoundly grouped data of governments, defense offices and banks for which the results are huge so it is essential to have an appropriate innovation which an avoid digital wrongdoings.

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

Who Should go for this Training?

Anyone having the zeal to learn innovative technologies can take up this course. Especially, students and professionals aspiring to make a career in Cybersecurity technology.
-----------------------------------------------

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

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/2ZB72nu

Lecture 2: Word Vectors, Word Senses, and Neural Network Classifiers
1. Course organization (2 mins)
2. Finish looking at word vectors and word2vec (13 mins)
3. Can we capture the essence of word meaning more effectively by counting? (8m)
4. The GloVe model of word vectors (8 min)
5. Evaluating word vectors (14 mins)
6. Word senses (8 mins)
7. Review of classification and how neural nets differ (8 mins)
8. Introducing neural networks (14 mins)

To learn more about this course visit: https://online.stanford.edu/co....urses/cs224n-natural
To follow along with the course schedule and syllabus visit: http://web.stanford.edu/class/cs224n/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

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 ⭐
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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

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

Pretraining & fine-tuning & in-context learning of LLM (like GPT-x, ChatGPT) EXPLAINED | The ultimate Guide including price brackets as an indication to absolutely identify your compute and financial resources when and how to train LLMs.

Simple explanation of the differences between Pretraining, Fine-tuning and ICL (in-context learning) a LLM, like GPT-3.5-turbo or ChatGPT.
The simplest explanation possible on this planet!
The ultimate guide for beginners to LLM!

#promptengineering
#ai
#generativeai
#naturallanguageprocessing
#chatgptexplained

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka session on ‘Git Interview Questions’ will discuss the most frequently asked questions that you might face in an interview.
This Session will focus on pointers like:
00:00:00 Introduction
00:00:50 Beginner Interview Questions
00:12:28 Intermediate Interview Questions
00:26:27 Advanced Interview Questions

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Learn how to build a CRM (Customer Relationship Management) App with Django, Python, and MySQL.

The app will use MySQL for the database. We'll be able to Register, Log In, Log Out, Add Records, View Records, Update Records, and Delete Records.

✏️ Course created by John Elder. Check out his channel: https://www.youtube.com/@Codemycom

💻 Github Code: https://github.com/flatplanet/Django-CRM

🔗 MySQL Download: https://dev.mysql.com/downloads/installer/

⭐️ Contents ⭐️
0:00:00 Introduction
0:01:50 Installation and App Setup
0:06:45 MYSQL Configuration
0:13:18 Version Control Git and Github.com
0:18:14 Build Out The Basic App
0:28:46 Login Users
0:47:32 Logout Users
0:51:45 Register Users
1:15:00 Database Model
1:25:48 View Records On Website
1:31:01 Bootstrap Table
1:38:23 Individual Records
1:48:41 Bootstrap Card
1:56:51 Delete Record
2:01:05 Add New Records
2:12:10 Update Records
2:20:06 Push Code To Github
2:20:54 Conclusion

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
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--

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Timestamps :
00:00:00 - Introduction
00:01:38 - Installing Code Editor (one from Froala/UltraEdit/VSCode)
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00:08:24 - Level 1
00:36:38 - Level 2
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01:25:10 - Level Pro (Hardest to Crack!)

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