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Machine Learning
13 Views ยท 2 years ago

๐Ÿ”ฅ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐‚๐ก๐š๐ญ๐†๐๐“ ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž - ๐๐ž๐ ๐ข๐ง๐ง๐ž๐ซ๐ฌ ๐ญ๐จ ๐€๐๐ฏ๐š๐ง๐œ๐ž๐: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on ๐‚๐ก๐š๐ญ๐†๐๐“ ๐€๐ฉ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ 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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Machine Learning
19 Views ยท 2 years ago

In this beginner-friendly crash course, Iโ€™ll 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

๐Ÿšฉ Subscribe โžœ https://bit.ly/45IwoxJ

๐Ÿ‘‡ Follow Me On Social Media:

Github: https://github.com/harishneel1
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Was this video on Python using Machine Learning helpful? Let me know your thoughts in the comments.

#python #artificialintelligence #machinelearning

Generative AI
16 Views ยท 2 years ago

๐Ÿ”ฅArtificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
๐Ÿ”ฅPurdue - 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
๐Ÿ”ฅIITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
๐Ÿ”ฅIITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
๐Ÿ”ฅCaltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube

In this video, we dive into the exciting world of selling digital products online! Weโ€™ll start by explaining What Digital Products are and Why theyโ€™re a fantastic choice for generating income. Then, weโ€™ll guide you on Where to sell your digital products to maximize your reach. Youโ€™ll also discover the Top 5 digital products that are currently in high demand. After that, weโ€™ll 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, weโ€™ll wrap up with some essential tips to boost your sales and grow your business. Whether youโ€™re 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?

โœ…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.
โœ…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.
โœ… 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.

โœ…Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

โฉ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

#digitalmarketing #aimarketing #aimarketingtools #aimarketingtodayupdate #simplilearn #2024

โžก๏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.

โœ… 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

โœ… Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโ€ฆ

๐Ÿ‘‰ Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=JT4uOOze0hU&utm_medium=Description&utm_source=youtube

Generative AI
13 Views ยท 11 months ago

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

Generative AI
16 Views ยท 9 months ago

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

Join us in the Wizards Slack Channel:
http://wizards.herokuapp.com/

And please support me on Patreon:
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Generative AI
2,379,758 Views ยท 4 years ago

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

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

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GitHub - https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf


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

Generative AI
2,124,603 Views ยท 4 years ago

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

Generative AI
3,143,141 Views ยท 4 years ago

Subscribe: http://bit.ly/subscribeToSmitha

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.

Socials:

LinkedIn: https://www.linkedin.com/in/smithakolan/

Instagram: https://www.instagram.com/smithacodes/

Generative AI
2,303,857 Views ยท 4 years ago

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

Generative AI
2,403,792 Views ยท 4 years ago

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

Social Media
Instagram - https://www.instagram.com/kylerb/
Tiktok - @nomadicambience

Places You Can Find Me
Spotify
Apple Music

Playlists
Rain Walks - https://bit.ly/3p5FRJx
Sounds for Sleep - http://bit.ly/310kmNG
Sounds New York - http://bit.ly/2OpNYlW
Sounds of Iceland - http://bit.ly/35LFR7R
Sounds of Japan - https://bit.ly/2TZ7sOj
Sounds of California - https://bit.ly/32kclWH
Cafe Sounds - http://bit.ly/2JW8tCq
Nature Sounds - https://bit.ly/3l5SVMy
City Sounds - https://bit.ly/2I3I47U
Ocean Waves Sounds - http://bit.ly/2ygmPaj
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

Generative AI
7,355 Views ยท 4 years ago

๐Ÿ”ฅ Data Warehousing & BI Training (Use Code "๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ"): 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."

Generative AI
2,925 Views ยท 3 years ago

๐Ÿ”ฅ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐€๐–๐’ ๐’๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐  ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž: https://www.edureka.co/aws-certification-training (Use code "๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ")
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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๐Ÿ”ด ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐  ๐š๐ง๐ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ

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๐Ÿ”ด ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐”๐ง๐ข๐ฏ๐ž๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ๐ฌ

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๐Ÿ“ข๐Ÿ“ข ๐“๐จ๐ฉ ๐Ÿ๐ŸŽ ๐“๐ซ๐ž๐ง๐๐ข๐ง๐  ๐“๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐ž๐ฌ ๐ญ๐จ ๐‹๐ž๐š๐ซ๐ง ๐ข๐ง 2023 ๐’๐ž๐ซ๐ข๐ž๐ฌ ๐Ÿ“ข๐Ÿ“ข
โฉ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

๐Ÿ“Œ๐“๐ž๐ฅ๐ž๐ ๐ซ๐š๐ฆ: https://t.me/edurekaupdates
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๐Ÿ“Œ๐ˆ๐ง๐ฌ๐ญ๐š๐ ๐ซ๐š๐ฆ: https://www.instagram.com/edureka_learning/
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๐Ÿ“Œ๐’๐ฅ๐ข๐๐ž๐’๐ก๐š๐ซ๐ž: https://www.slideshare.net/EdurekaIN
๐Ÿ“Œ๐‚๐š๐ฌ๐ญ๐›๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
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๐Ÿ“Œ๐‚๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/



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Generative AI
3,095 Views ยท 3 years ago

๐Ÿ”ฅ Caltech Cloud Computing Bootcamp (US Only): https://www.simplilearn.com/cloud-computing-bootcamp-certification-course?utm_campaign=GCPFS12Feb23-0fEH648poj4&utm_medium=DescriptionFirstFold&utm_source=youtube
๐Ÿ”ฅPost Graduate Program In Cloud Computing: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=GCPFS12Feb23-0fEH648poj4&utm_medium=DescriptionFirstFold&utm_source=youtube

This video by simplilearn is based on Google Cloud In-depth tutorial for 2022. This google cloud in-depth tutorial will help you learn the critical fundamentals of the cloud according to the current IT Standards. Also, the tutorial will guide you with critical skills, tips and tricks required to become a cloud expert. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.

What is GCP?
GCP Tutorial
AWS vs GCP
GCP Web Hosting
Google Cloud ML
Google Cloud Platform Certificate Training

โœ…Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

โฉ Check out the Google Cloud Platform(GCP) tutorial videos: https://bit.ly/35r8IPg

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Simplilearn's Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more. Simplilearnโ€™s online Google Cloud Platform (GCP) Architect certification course introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform. In this course, you will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services.

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Generative AI
4,093 Views ยท 3 years ago

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:
https://www.instagram.com/hexagonmachinemusic/

Hexagon Machine on Bandcamp:
https://hexagonmachine.bandcamp.com/

Say Hello on LinkedIn:
https://www.linkedin.com/in/dr....-tristan-behrens-734

More on my Patreon account:
https://www.patreon.com/computational_creativity

Generative AI
129 Views ยท 3 years ago

In this full Kotlin course, you will learn the most popular programming language on Android and start building your own apps.

โœ๏ธ Course from Alexandru Cristian.

More courses from Alexandru:
๐Ÿ”— Kotlin: https://www.udemy.com/course/k....otlin-masterclass-le
๐Ÿ”— Python: https://www.udemy.com/course/p....ython-complete-cours
๐Ÿ”— Java: https://www.udemy.com/course/j....ava-for-absolute-beg

โŒจ๏ธ (0:00:00) Introduction
โŒจ๏ธ (0:01:06) Install Intellij IDEA
โŒจ๏ธ (0:06:23) Hello World
โŒจ๏ธ (0:25:41) Variables
โŒจ๏ธ (0:41:18) Window
โŒจ๏ธ (0:42:24) Integer Type
โŒจ๏ธ (0:53:08) DataType: Byte, Short and Long
โŒจ๏ธ (1:04:42) Float and Double
โŒจ๏ธ (1:16:16) Char and Boolean
โŒจ๏ธ (1:25:55) Operators
โŒจ๏ธ (1:49:47) Comments
โŒจ๏ธ (1:51:43) IfThenElse: Statement-Expression
โŒจ๏ธ (2:02:25) Less Than or Equal To Operator
โŒจ๏ธ (2:10:33) logical AND operator
โŒจ๏ธ (2:14:52) logical OR operator
โŒจ๏ธ (2:29:48) When Statement-Expression
โŒจ๏ธ (2:44:16) Null
โŒจ๏ธ (2:59:59) Functions
โŒจ๏ธ (3:15:46) Function: return and expressions
โŒจ๏ธ (3:27:43) Functions Overloading
โŒจ๏ธ (3:33:57) Functions Default Values
โŒจ๏ธ (3:44:09) Functions vararg keyword
โŒจ๏ธ (3:55:17) loops: FOR loop
โŒจ๏ธ (4:05:18) loops: WHILE and DO WHILE loop, Labels and continue and break
โŒจ๏ธ (4:28:26) loops Challenge
โŒจ๏ธ (4:43:14) Arrays
โŒจ๏ธ (4:59:56) Arrays Challenge
โŒจ๏ธ (5:18:41) OOP: Classes
โŒจ๏ธ (5:37:01) OOP: Primary Constructor
โŒจ๏ธ (5:51:25) OOP: Initializer Blocks
โŒจ๏ธ (6:07:03) OOP: Secondary Constructors
โŒจ๏ธ (6:23:56) OOP: Constructor Parameters Default Values
โŒจ๏ธ (6:31:08) OOP: Getters and Setters
โŒจ๏ธ (6:48:00) OOP: lateinit keyword
โŒจ๏ธ (6:57:52) OOP: Companion Object
โŒจ๏ธ (7:07:47) OOP: Singleton
โŒจ๏ธ (7:19:08) OOP: Lazy Initialization
โŒจ๏ธ (7:25:02) OOP: Enum Classes
โŒจ๏ธ (7:39:27) OOP: Inner Classes
โŒจ๏ธ (7:44:19) OOP Challenge
โŒจ๏ธ (8:00:16) OOP: Inheritance 1
โŒจ๏ธ (8:20:37) OOP: Inheritance 2
โŒจ๏ธ (8:35:31) OOP: Sealed Class
โŒจ๏ธ (8:48:57) OOP: Abstract Classes
โŒจ๏ธ (8:56:29) OOP: Data Class
โŒจ๏ธ (9:23:53) OOP: Interfaces 1
โŒจ๏ธ (9:35:37) OOP: Interfaces 2
โŒจ๏ธ (9:49:03) OOP: Object Expression
โŒจ๏ธ (9:58:09) OOP: Delegation
โŒจ๏ธ (10:05:20) List, Set, Map
โŒจ๏ธ (10:22:26) Mapping
โŒจ๏ธ (10:34:17) Zipping and Association
โŒจ๏ธ (10:49:34) Flatten
โŒจ๏ธ (10:59:17) String Representation
โŒจ๏ธ (11:10:19) Filtering
โŒจ๏ธ (11:28:53) Test Predicates
โŒจ๏ธ (11:31:30) Plus and Minus Operators
โŒจ๏ธ (11:34:45) Grouping
โŒจ๏ธ (11:39:41) Retrieve Collection parts
โŒจ๏ธ (11:59:47) Retrieve Single Elements
โŒจ๏ธ (12:04:28) Aggregate Operations
โŒจ๏ธ (12:09:23) Comparable and Comparator
โŒจ๏ธ (12:36:43) Binary Search
โŒจ๏ธ (12:51:06) Generics: Type Parameters and Casting
โŒจ๏ธ (13:07:28) Generics: Upper Bounds




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