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This Edureka video on ๐๐ก๐๐ญ๐๐๐ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ will talk about multiple use cases where you can use ChatGPT. There are several day to day applications where you can leverage ChatGPT to do the job for you. Below are some important ChatGPT applications covered in this ChatGPT tutorial:
00:00:00 Introduction
00:00:50 ChatGPT for Writing Code
00:02:25 ChatGPT for Code Debugging
00:03:37 ChatGPT for Content Writing
00:05:03 ChatGPT for SEO
00:06:18 ChatGPT for Language Translation
00:07:01 ChatGPT for Writing Legal Documents
00:08:11 ChatGPT for College Assignments
00:08:37 ChatGPT to make Workout Schedule
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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.
In this beginner-friendly crash course, Iโll show you how to use real-world data with Python to create something cool from scratch.
Timeline:
00:00 - Getting Started
0:54 - What is Machine Learning
3:19 - Machine Learning Pipeline
7:18 - Popular ML Libraries & Tools
12:42 - Importing Data
20:17 - Jupyter Shortcuts
25:16 - A Real Machine Learning Problem
29:13 - Preparing the Data
32:34 - Learning & Predicting
37:28 - Calculating Model Accuracy
44:10 - Persisting Models
48:32 - Visualizing Decision Trees
Playlist Link: https://www.youtube.com/watch?v=rE9XJGakAUM&list=PLNIQLFWpQMRVKC_zohdgl3pjDk4rlN3jc
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Was this video on Python using Machine Learning helpful? Let me know your thoughts in the comments.
#python #artificialintelligence #machinelearning
๐ฅArtificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
๐ฅPurdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
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In this video, we dive into the exciting world of selling digital products online! Weโll start by explaining What Digital Products are and Why theyโre a fantastic choice for generating income. Then, weโll guide you on Where to sell your digital products to maximize your reach. Youโll also discover the Top 5 digital products that are currently in high demand. After that, weโll show you How to create and sell your digital products step-by-step, making it easy for you to launch your own digital product business. Finally, weโll wrap up with some essential tips to boost your sales and grow your business. Whether youโre just starting out or looking to refine your strategy, this video has everything you need to succeed.
00:00:04 - Introduction to Digital Products to sell online
00:02:05 - What are Digital Products?
00:02:53 - Why Sell Digital Products?
00:04:27 - Where to Sell Digital Products ?
00:05:09 - Generating Guides
00:05:56 - Logo Design
00:06:30 - Business Cards
00:06:56 - Resume Templates
00:07:36 - Product Mockups
00:08:12 - How to Create and Sell Digital Products?
00:10:27 - Tips to Sell Digital Products Online?
โ
What is the best selling Digital Product?
Basically, there is no particular answer to this as there are various digital products doing great in the market like online courses, ebooks,digital templates and tool,product photography etc.
โ
Is selling digital products a good idea?
Yes it is a great idea . It ensures you passive income with minimum investment and a lot use of future technologies.
โ
Is digital marketing a risky career?
Not at all. Among all the careers in the market, digital marketing is booming and has a secured future. It is recession free and one can touch the pinaccle of success in the field.
โ
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โก๏ธ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
โ
Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
โ
Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโฆ
๐ Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=JT4uOOze0hU&utm_medium=Description&utm_source=youtube
CORRECTION: At 10:56 we shouldn't divide by 4 to get the covariance, we should divide by 1+1+1+1/3, which is 10/3. That means the covariances are the following:
Var(x) = 1.056
Var(y) = 0.864
Cov(x,y) = 0.768
(Thank you Shivkumar Pippal!)
Mean, variance, covariance, and the covariance matrix for a dataset and a weighted dataset.
Announcement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
0:00 Introduction
0:09 The covariance matrix
2:22 Average
3:23 X-variance
5:06 Problem: Same variances
7:59 Formulas
10:30 Center points
One-shot learning! In this last weekly video of the course, i'll explain how memory augmented neural networks can help achieve one-shot classification for a small labeled image dataset. We'll also go over the architecture of it's inspiration (the neural turing machine).
Code for this video (with challenge):
https://github.com/llSourcell/....How-to-Learn-from-Li
Please subscribe! And like. And comment. That's what keeps me going.
More learning resources:
https://www.youtube.com/watch?v=CzQSQ_0Z-QU
https://arxiv.org/abs/1605.06065
https://futuristech.info/posts..../differential-neural
https://thenewstack.io/googles....-deepmind-ai-now-cap
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An in-depth guide to tensorboard with examples in plotting loss functions, accuracy, hyperparameter search, image visualization, weight visualization as well as tensorboards visual embedding or projector.
The functions we look at from Pytorchs tensorboard are add_scalar, add_image, add_histogram, add_embedding and add_hparams.
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
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OUTLINE:
0:00 - Introduction
2:08 - Initializing SummaryWriter
2:55 - Creating a loss and accuracy plot
5:40 - Doing Hyperparameter search
16:36 - Visualizing Dataset Images and Network Weights
20:55 - Tensorboard Embedding Projector
Paper: https://arxiv.org/abs/2003.08934
Full title: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Timestamps:
0:00 - Introduction
0:54 - Goal of NeRFs
2:36 - NeRF network architecture
4:35 - The key idea you need to understand
6:17 - How NeRFs learn and work
12:15 - Intuition behind volume rendering
15:15 - Loss function
15:55 - Trick #1: Positional Encoding
17:36 - Trick #2: Hierarchical sampling
19:35 - Ending
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Tesla has currently pioneered a major shift in the auto industry towards Self-driving cars. Have you ever wondered how it achieves this? Let's discuss the basic essentials of Self-Driving capabilities in a Tesla Car:
1. Computer Vision:
A broad field in Artificial Intelligence focusing on enabling computers to see. Tesla cars primarily make use of 2 Computer Vision Applications that make use of Deep Learning; Image Localization and Image Classification. Image Localization allows Tesla cars to position where an object is while Image classification allows the car to identify the object. These two come hand in hand to allow Tesla cars to "see".
2. Decision Making:
Besides using Deep Learning to make more efficient models to enable Tesla cars to "see", it has to carry out these resource-intensive tasks in real time. So the chips in Tesla cars have to be powerful enough to handle all the computations in Self-Driving cars. Tesla recently unveiled their own chips in 2019, which they claim is 21x more powerful than Nvidia chips.
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In this short Python tutorial, You will learn how to build your own Gradio App for Text Generation / Natural Language generation using GPT-J-6B that's available on Hugging Face Transformers. Eleuther AI's GPT-J-6B is the real open-source alternative for GPT-3 by OpenAI. Using that from Hugging Face Model Hub, We'll learn how to build a Full-stack Web App using Gradio - surprisingly in just 6 lines of Python code, you'd have a world-class text generation App up and running.
GPT-J-6B on Hugging Face - https://huggingface.co/EleutherAI/gpt-j-6B
GPT-J-6B Web App on HF Spaces - https://huggingface.co/spaces/akhaliq/gpt-j-6B
Gradio Docs - https://gradio.app/docs#load
Gradio Hosted - https://gradio.app/introducing-hosted
Courtesy: Ahsen Khaliq
Previous Video on GPT-J and AI Blog Writing:
https://youtu.be/fnvQ8qQM6NU
Snowfall walk in Times Square, New York City. It's been a year since I last visited New York. I didn't plan a route for this video. My friend living in Brooklyn sent me a text that there would be snowfall in New York the following morning, so I made a 14-hour drive up to New York the day before and crashed in my hotel room in Times Square at 2 am. The next morning it started to snow, but I was still totally exhausted from the night before. This walk is a bit aimless and mostly around Times Square because I had to start work immediately after and was already out of it. I wanted to capture the contrast between this video and my previous videos from 2019. New York is so quiet. Early apologies for all of the cuts in the recording. I stopped to clear water residue off of my camera lens every so often. Binaural audio for an immersive experience.
For Ambience Sounds and Music - https://share.epidemicsound.com/lfkdnw
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Sounds of Iceland - http://bit.ly/35LFR7R
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Rain and Thunderstorms - https://bit.ly/353w6DV
Everything in the video is filmed and recorded on location.
Do not copy, reproduce, or distribute any of the content.
#newyork #nyc #timessquare
๐ฅ Data Warehousing & BI Training (Use Code "๐๐๐๐๐๐๐๐๐"): https://www.edureka.co/search
This tutorial on data warehouse concepts will tell you everything you need to know in performing data warehousing and business intelligence. The various data warehouse concepts explained in this video are:
1. What Is Data Warehousing?
2. Data Warehousing Concepts:
3. OLAP (On-Line Analytical Processing)
4. Types Of OLAP Cubes
5. Dimensions, Facts & Measures
6. Data Warehouse Schema
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Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt.
#DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining #DataWarehouseConcepts
Subscribe to our channel to get video updates. Hit the subscribe button above.
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How it Works?
1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
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About the Course:
Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like:
1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations
2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards
3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart
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Who should go for this course?
The following professionals can go for this course:
1. Data warehousing enthusiasts
2. Analytics Managers
3. Data Modelers
4. ETL Developers and BI Developers
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Why learn Data Warehousing and Business Intelligence?
All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success.
With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin.
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For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
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Customer Review:
Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ ๐๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐: https://www.edureka.co/aws-certification-training (Use code "๐๐๐๐๐๐๐๐๐")
This Edureka "AWS CloudFrontโ video will introduce you to the fundamentals of AWS CloudFront and also explain various Content Delivery concepts.
00:00:00 Introduction
00:00:27 Agenda
00:00:49 What is AWS
00:02:40 Need for AWS CloudFront
00:04:47 What is AWS CloudFront
00:05:23 How AWS CloudFront Delivers Content
00:08:01 Applications
00:10:04 Demo
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๐ต Power BI Online Training: http://bit.ly/3VntjMY
๐ Selenium Online Training: http://bit.ly/3EVDtis
๐ต PMP Online Training: http://bit.ly/3XugO44
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๐ต Cybersecurity Online Training: http://bit.ly/3tXgw8t
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๐ต Python Online Training: http://bit.ly/3Oubt8M
๐ Azure Online Training: http://bit.ly/3i4P85F
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๐ Microservices Online Training: http://bit.ly/3gxYqqv
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๐ต Angular Online Training: http://bit.ly/3EYcCTe
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๐ Python Developer Masters Program : https://bit.ly/3EV6kDv
๐ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH
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Recently, I have trained GPT-2 on the Lakh MIDI dataset. It is a collection of roundabout 175K MIDI files. Training takes quite a long time! But using NVIDIA DGX-2 really made a difference!
The unprocessed Lakh MIDI dataset:
https://colinraffel.com/projects/lmd/
Checkout NVIDIA DGX-2:
https://www.nvidia.com/en-us/data-center/dgx-2/
Checkout the NVIDIA DGX Systems family:
https://www.nvidia.com/en-us/d....ata-center/dgx-syste
Hexagon Machine - New Order MMXXI:
https://bfan.link/new-order-mmxxi
Hexagon Machine on Instagram:
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Hexagon Machine on Bandcamp:
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Say Hello on LinkedIn:
https://www.linkedin.com/in/dr....-tristan-behrens-734
More on my Patreon account:
https://www.patreon.com/computational_creativity
In this full Kotlin course, you will learn the most popular programming language on Android and start building your own apps.
โ๏ธ Course from Alexandru Cristian.
More courses from Alexandru:
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๐ Python: https://www.udemy.com/course/p....ython-complete-cours
๐ Java: https://www.udemy.com/course/j....ava-for-absolute-beg
โจ๏ธ (0:00:00) Introduction
โจ๏ธ (0:01:06) Install Intellij IDEA
โจ๏ธ (0:06:23) Hello World
โจ๏ธ (0:25:41) Variables
โจ๏ธ (0:41:18) Window
โจ๏ธ (0:42:24) Integer Type
โจ๏ธ (0:53:08) DataType: Byte, Short and Long
โจ๏ธ (1:04:42) Float and Double
โจ๏ธ (1:16:16) Char and Boolean
โจ๏ธ (1:25:55) Operators
โจ๏ธ (1:49:47) Comments
โจ๏ธ (1:51:43) IfThenElse: Statement-Expression
โจ๏ธ (2:02:25) Less Than or Equal To Operator
โจ๏ธ (2:10:33) logical AND operator
โจ๏ธ (2:14:52) logical OR operator
โจ๏ธ (2:29:48) When Statement-Expression
โจ๏ธ (2:44:16) Null
โจ๏ธ (2:59:59) Functions
โจ๏ธ (3:15:46) Function: return and expressions
โจ๏ธ (3:27:43) Functions Overloading
โจ๏ธ (3:33:57) Functions Default Values
โจ๏ธ (3:44:09) Functions vararg keyword
โจ๏ธ (3:55:17) loops: FOR loop
โจ๏ธ (4:05:18) loops: WHILE and DO WHILE loop, Labels and continue and break
โจ๏ธ (4:28:26) loops Challenge
โจ๏ธ (4:43:14) Arrays
โจ๏ธ (4:59:56) Arrays Challenge
โจ๏ธ (5:18:41) OOP: Classes
โจ๏ธ (5:37:01) OOP: Primary Constructor
โจ๏ธ (5:51:25) OOP: Initializer Blocks
โจ๏ธ (6:07:03) OOP: Secondary Constructors
โจ๏ธ (6:23:56) OOP: Constructor Parameters Default Values
โจ๏ธ (6:31:08) OOP: Getters and Setters
โจ๏ธ (6:48:00) OOP: lateinit keyword
โจ๏ธ (6:57:52) OOP: Companion Object
โจ๏ธ (7:07:47) OOP: Singleton
โจ๏ธ (7:19:08) OOP: Lazy Initialization
โจ๏ธ (7:25:02) OOP: Enum Classes
โจ๏ธ (7:39:27) OOP: Inner Classes
โจ๏ธ (7:44:19) OOP Challenge
โจ๏ธ (8:00:16) OOP: Inheritance 1
โจ๏ธ (8:20:37) OOP: Inheritance 2
โจ๏ธ (8:35:31) OOP: Sealed Class
โจ๏ธ (8:48:57) OOP: Abstract Classes
โจ๏ธ (8:56:29) OOP: Data Class
โจ๏ธ (9:23:53) OOP: Interfaces 1
โจ๏ธ (9:35:37) OOP: Interfaces 2
โจ๏ธ (9:49:03) OOP: Object Expression
โจ๏ธ (9:58:09) OOP: Delegation
โจ๏ธ (10:05:20) List, Set, Map
โจ๏ธ (10:22:26) Mapping
โจ๏ธ (10:34:17) Zipping and Association
โจ๏ธ (10:49:34) Flatten
โจ๏ธ (10:59:17) String Representation
โจ๏ธ (11:10:19) Filtering
โจ๏ธ (11:28:53) Test Predicates
โจ๏ธ (11:31:30) Plus and Minus Operators
โจ๏ธ (11:34:45) Grouping
โจ๏ธ (11:39:41) Retrieve Collection parts
โจ๏ธ (11:59:47) Retrieve Single Elements
โจ๏ธ (12:04:28) Aggregate Operations
โจ๏ธ (12:09:23) Comparable and Comparator
โจ๏ธ (12:36:43) Binary Search
โจ๏ธ (12:51:06) Generics: Type Parameters and Casting
โจ๏ธ (13:07:28) Generics: Upper Bounds