Steps to get started:

1. Install miniconda
https://docs.conda.io/en/latest/miniconda.html

2. Clone or download Stable Diffusion:
https://github.com/CompVis/stable-diffusion

3. Download weights for model:
https://huggingface.co/CompVis..../stable-diffusion-v-

4. Run text2img or img2img script in conda terminal as shown in video. Example:

python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms

Timestamps:
0:00 - Introduction
1:36 - GitHub Repo
5:23 - Clone Repository
6:10 - Create conda env
6:45 - Running script
8:10 - Arguments
11:30 - Example run
12:40 - Image to image example
15:40 - Understanding scale and steps
18:10 - Removing safety lol
18:45 - Ending

Can a computer really think like a human? It can at least try, with deep learning. Watch to learn what deep learning is and how it works.

Deep learning, also known as deep neural networking, is a type of machine learning and artificial intelligence that imitates the way humans gain knowledge. Computers are able to "learn" to recognize and identify abstract objects, sometimes in the same manner as humans. Deep learning can be thought of as automated predictive analytics. Unlike traditional machine learning, deep learning algorithms are stacked in a hierarchy that increases in complexity.

Deep learning comes in handy especially for data scientists, who are tasked with collecting, analyzing, and interpreting large amounts of data. It can also be used for image recognition tools, natural language processing, and speech software. Deep learning has been implemented in a variety of fields from businesses to medical research to industrial factories, even to the military.

Does your business utilize deep learning? Let us know in the comments and be sure to give this video a like.


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Extended motivational speech to study deep learning mathematically.

I gave this talk at an NSF Town Hall where the goal was to discuss successes of deep learning especially in light of more traditional fields (other talks can be found here: https://www.nsf.gov/events/event_summ.jsp?cntn_id=304013&org=CISE).

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This Edureka "Statistics & PRobability For Data Science" video will introduce you to the concepts of statistics using Data Science. You will learn about Descriptive and Inferential statistics in detail with a demo. The following topics are covered in this Statistics for Data Science tutorial:
00:00:00 Introduction
00:01:11 Probability
00:02:13 Probability - Terminologies
00:03:33 Probability - Types of Events
00:04:46 Probability - Distribution
00:05:10 Probability - PDF
00:07:00 Probability - Normal Distribution
00:11:36 Probability - Central Limit Theorem
00:11:40 Probability - Types of Probability
00:12:01 Probability - Marginal Probability
00:12:48 Probability - Joint Probability
00:13:14 Probability - Conditional Probability
00:15:11 Probability - Bayes Theorem
00:16:30 Probability - Applications
00:17:12 Statistics
00:17:40 Statistics - Terminologies
00:19:12 Statistics - Sampling technique
00:21:30 Statistics - Types of Statistics
00:24:26 Statistics - Measures of Center
00:26:02 Statistics - Measures of Spread
00:32:22 Statistics - Hands-on
00:33:26 Statistics - Information Gain
00:38:32 Statistics - Inferential Statistics

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#statistics #statisticsfordatascience #datascience #edureka

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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This video gives you an introduction to Factor Analysis, with details on how it works and examples.

This video contains the following topics:
00:00 Introduction
01:12 What is Factor Analysis?
02:55 Latent Variables
03:37 Assumptions in Factor Analysis
04:35 Purpose of Factor Analysis
05:28 Types of Factor Analysis
06:32 Issues with Factor Analysis
10:06 Basic Logic of Factor Analysis


📝Feel free to share your experience of Factor Analysis in the comment section below.📝

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐆𝐃 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------

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

#edureka #FactorAnalysis #WhatisFactorAnalysis #WhatisFactor #MachineLearning #DataScience #EDA #EFA #2022

-----------------------------------------------------------------
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In this video on PMP Certification Full Course, we'll be covering a number of different concepts like project management, project planning, project time, cost quality and communication management, project manager roles, interview questions and much more. With this course, you'll have everything you need to know about Project Management.

00:00 What Is Project Management?
45:46 Project Planning In Project Management
52:29 Project Planning
01:06:49 Project Time Management
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02:15:57 Project Quality Management PMBOK 5
02:39:38 Project Management Framework
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06:38:44 Top 10 Reasons To Get PMP Certified
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06:57:09 Project Manager Interview Questions And Answers

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The PMP certification is the global gold standard for project management professionals. Keep abreast of the changes in the project management practices updated in PMBOK guide - 6th edition and pass the PMP® exam on your first attempt with Simplilearn’s new PMP course. The course covers new trends, emerging practices, tailoring considerations, and places a greater emphasis on strategic and business knowledge. It also includes a new section on the role of the project manager.

PMP Certification Course Overview
The course covers new trends, emerging practices, tailoring considerations, and core competencies required of a Project Management professional. Placing a greater emphasis on strategic and business knowledge, this course also includes a new section on the role of the project manager in both large and small companies.

PMP Course Key Features:
- 35 contact hours/PDUs
- 8 industry case studies, 20 industry-based scenarios
- 6 hands-on projects, 7 simulation test papers (200 questions each)

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The PMP® certification is an essential professional requirement for senior project manager roles across all industries. The course is best suited for: Project Managers, Associate/Assistant Project Managers, Team Leads/Team Managers, Project Executives/Project Engineers, Software Developers, Any professional aspiring to be a Project Manager.

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