Whether you like it or not, generative AI like ChatGPT and Stable Diffusion are about to change not only how you work, but how the content you consume is produced. Forbes spoke with a number of leading voices in the AI space to determine both the benefits and the dangers of this next wave of technological innovation, and find out why both tech giants as well as cutting edge startups are racing to grab their share of the market.

0:00 Introduction
1:17 What is generative AI?
2:02 Why Forbes decided to cover this story
2:18 The rise of Open AI
3:11 AI's recent hype
4:30 Stability AI and Stable Diffusion
6:39 Bill Gates thoughts on generative AI
7:53 Where AI can help in workflows
9:56 The issues with AI that need to be resolved
12:04 How do we set safeguards for AI to protect society?
15:14 How will we further incorporate AI in the future?
19:14 The idea of "platform democracy"
20:56 How we used AI for this video

Read the full story on Forbes: https://www.forbes.com/sites/a....lexkonrad/2023/02/02

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Today's robots excel at performing very specific tasks within a narrow and controlled environment. But, when faced with a novel situation, their highly specialized training doesn’t enable them to adjust on the fly. In the future, could robots learn to adapt to new tasks they haven’t been trained to do?

One possible solution to this problem is deep learning. While deep learning is expanding the capabilities of both machine learning and reinforcement learning, it also has the potential to unleash new possibilities for robotics. Join Professor Chelsea Finn in this discussion of modern deep reinforcement learning algorithms, and learn more about their usefulness towards solving ambitious challenges in robotics.

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

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This full course video on Neural Network tutorial will help you understand what a neural network is, how it works, and what are the different types of neural networks. You will learn how each neuron processes data, what are activation functions, and how a neuron fires. You will get an idea about backpropagation and gradient descent algorithms. You will have a look at the convolution neural network and how it identifies objects in an image. Finally, you will understand the recurrent neural networks and lSTM in detail.

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In this video we go over how to use chat gpt with google sheets. You can use OpenAI's GPT as functions inside of Google Sheets to help improve your workflow.

OpenAI Website: https://openai.com/api/

===============
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This video, and the contents in this video, is for entertainment purposes only and does not constitute financial, accounting, or legal advice.

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This Affiliate Marketing Tutorial will go into the details about what is affiliate marketing, the different components involved in the process, the process of affiliate marketing, some tips for success in affiliate marketing and a live demo using the affiliate network Conversion Junction (also known as CJ). The tutorial also goes into detail about the role of each of the components of the affiliate marketing process. The live demo focuses on how CJ helps the user make the most of the insights, data and the options it provides. Now, let’s get started with understanding Affiliate Marketing:

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The below topics are explained in this Affiliate Marketing tutorial:
1) What is Affiliate Marketing?
2) What is the process of Affiliate Marketing?
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OpenAI just released Chat GPT 4 so in this video, I cover a ChatGPT 4 tutorial, compare it against ChatGPT 3.5, show you what it can do, and how to use ChatGPT to make money online.

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TOC:
00:00 - Intro
01:04 - What Can ChatGPT 4 Do?
09:29 - How to Make Money with ChatGPT 4

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This video on "AI Roadmap for 2023" offers a comprehensive guide to becoming an AI engineer. This "Roadmap to Become an Artificial Intelligence Engineer" will help you to gain insights into vital programming languages and mathematical concepts essential for achieving expertise in AI engineering. AI presents exciting career opportunities in various industries and sectors. Roles like AI engineers, data scientists, NLP engineers, computer vision engineers, AI research scientists, robotics engineers, and many more offer exciting prospects for working with cutting-edge technologies and making an impact through AI innovation. According to Glassdoor, the average reported salary of an AI engineer in the United States is around $105,000/ yr; however, in India, it is ₹9,33,502L per annum.

In this "AI Roadmap for 2023" , we will cover the following topics:

✅ 00:00 AI Roadmap for 2023
✅ 00:10 Introduction to Artificial Intelligence
✅ 01:09 Salary of an AI Engineer
✅ 02:57 Top Companies Hiring AI Engineer
✅ 03:05 Steps to Become an AI Engineer
✅ 05:11 The Necessary Programming Languages and Algorithms

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-AI systems are designed to mimic human cognitive abilities and perform tasks such as speech recognition, natural language processing, image and pattern recognition, decision-making, and problem-solving. These systems can analyze large amounts of data, identify patterns, make predictions, and adapt to changing circumstances.

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By the end of this Machine Learning course, you will be able to:
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This Edureka video on Web and Excel Automation in UiPath will cover different types of automation you can perform with UiPath.
Topics Covered:
00:00:00 Introduction
00:00:28 Agenda
00:01:05 Introduction to RPA
00:04:41 Robotic process Automation
00:05:55 Introduction to UiPath
00:09:40 Excel Automation in UiPath
00:11:39 Why Excel Automation
00:16:48 Install Excel Activities In UiPath studio
00:17:21 Web Automation in UiPath
00:17:37 Application of Web Automation
00:18:50 Hands-On Excel automation

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In this video "Basics of SEO" we will cover all the basic concept of SEO in 4 Hours. This SEO Training will give you a firm hold on SEO basics.
Discover the incredible potential of SEO and unlock the hidden treasure trove for your website! SEO, or Search Engine Optimization, holds the key to skyrocketing your online presence. By strategically weaving in relevant keywords throughout your website and securing high-quality backlinks, you'll capture the attention of search engines and soar up the rankings. But SEO isn't just about algorithms; it's about creating an exceptional user experience. From lightning-fast loading speeds to mobile-friendly designs that captivate visitors, SEO enhances every aspect of your website. With rising technology and exponential rise of websites on internet, there exist huge demands of SEO professionals. Now talking about salary, an seo professional at entry level can earn salary ranging between $45,000 to $90,000 per year. By gaining more experience, you can unlock higher salaries in this domain.

00:00 Basics of SEO - An Introduction
04:14 What is SEO
04:44 Importance of SEO
05:49 How Search Engines Work?
08:04 On - Page SEO
24:50 Keyword Research in seo
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ChatGPT API and GPT-4 just released. And it's BIG NEWS for independent SaaS creators.
Let me show you how ChatGPT API can be your biggest SaaS opportunity in 2023!

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ChatGPT API announcement:
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How to Use A.I. to Run Your Online Business
https://www.youtube.com/watch?v=xWrUNI7adpI

7 AI SaaS Ideas You Can Start In 2023
https://www.youtube.com/watch?v=Hdp30KBXK40

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Get a brief introduction to " Lean Six Sigma " in just 8 Minutes and clear your doubts on lean six sigma. Watch complete video to learn more!
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In this video, we'll tell you everything you need to learn about Lean Six Sigma in 8 minutes! We'll be covering a number of major concepts like Lean and Six Sigma, to help you answer the question: What is Six Sigma? These concepts are also explained with detailed examples.
So, without further ado, let's get started with Lean Six Sigma!

Don't forget to take the quiz at 07:08!

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Learn to develop your organizational projects with the Lean Six Sigma Green Belt certification online program. Aligned to the IASSC exam, this online six sigma certification integrates lean and the DMAIC methodology with case studies to provide you the skills required for an organization's growth.

About Simplilearn SIx Sigma green belt course:
This Lean Six Sigma Green Belt course provides an overview of Six Sigma and the DMAIC methodology and is aligned to the leading Green Belt certifications at ASQ and IASSC. In this Lean Six Sigma Green Belt course, you will learn how to measure current performance to identify process issues and how to formulate solutions.

Six Sigma Green Belt Training Key Features:
- 56 hours of high-quality blended learning
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Lean Six Sigma professionals are in high demand due to their ability to use problem-solving techniques to reach business solutions and assuring quality control throughout the process. The Lean Six Sigma Green Belt certification is ideal for Quality system managers, Quality engineers, Quality supervisors, Quality analysts and managers, Quality auditors, and any individual wishing to improve quality and process within an organization.

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In this video, we will be covering the basics of algorithmic thinking and how to apply it using JavaScript. We will be solving a variety of problems to help you build a strong foundation in JavaScript and algorithmic problem-solving. By the end of this video, you will have a solid understanding of how to approach and solve algorithmic problems using JavaScript. Let's get started! Thanks for watching and have a great day!

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✅About Post Graduate Program In Business Analysis
This Post Graduate Program in Business Analysis is for professionals looking to pursue a Business Analysis career, understand business analysis techniques, get hands-on experience, and for experienced analysts looking to learn the latest tools and frameworks used by Agile teams.

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- Certificate from Simplilearn in collaboration with Purdue University
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- Harvard Business Publishing case studies of Pearson, CarMax, EvCard, etc.
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- Business Analysis
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- Excel
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In this intermediate algorithm scripting tutorial we do a project called Seek and Destroy. This video constitutes one part of many where I cover the FreeCodeCamp (www.freecodecamp.org) curriculum. My goal with these videos is to support early stage programmers to learn more quickly and understand the coursework more deeply. Enjoy!

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This Random Forest Algorithm tutorial will explain how the Random Forest algorithm works. By the end of this video, you will be able to understand what is Machine Learning, what is a Classification problem, applications of Random Forest, why we need Random Forest, how it works with simple examples, and how to implement a Random Forest algorithm in Machine Learning. This video is a part of the Machine Learning with Python Series.

Below are the topics covered in this Random Forest Algorithm tutorial:
00:00 - 02:08 Applications of Random Forest Algorithm
02:08 - 02:59 Agenda
02:59 - 04:07 Classification Algorithms
04:07 - 05:36 Why Random Forest?
05:36 - 06:40 What is Random Forest Algorithm?
06:40 - 11:01 What is a Decision Tree?
11:01 - 14:18 How does the Decision Tree algorithm work?
14:18 - 17:27 How does the Random Forest algorithm work?
17:27 - 45:34 Use Case - IRIS Flower Analysis using Python

Dataset Link - https://drive.google.com/drive..../folders/1MQ5Nnhj3gs


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What is Random Forest Algorithm?
The random forest algorithm is a supervised machine learning algorithm that takes randomly selected data and creates different decision trees. It then makes the collection of votes from trees to decide the class of the test object.

You can also go through the Slides here: https://goo.gl/K8T4tW

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About Simplilearn Machine Learning course:

A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with the knowledge and hands-on skills required for certification and job competency in Machine Learning.

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What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:

1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.

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Who should take this Machine Learning Training Course?

We recommend this Machine Learning training course for the following professionals in particular:

1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning

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