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"Draw up your travel plan on a large scale - and let yourself be carried away by the colorful hour in detail. The greatest attraction there is is the world - take a look at it!" Kurt Tucholsky
In the months when the hours of sunshine are shortest in the north, shortly before and after the never-ending polar night, Norway shows itself in the most beautiful colors. Whether it's the sunrises that turn into sunsets or the northern lights that color the sky, it's far less dreary and gray than we sometimes imagine.
Follow the trips to Norway, Iceland and many more on Instagram: https://www.instagr.am/ronald_soethje/
Discover Norway the land of the northern lights with its fjords and mountains in the south, the magical archipelago of Lofoten, the incredibly beautiful Senja and the endless fjords and islands around Tromsø.
Recorded with cameras in a resolution of over 8k and finished in HDR (High Dynamic Range / HDR 10). Norway looks best on real ultra high definition HDR display.
#Norge #Norway #8kHDR #HDR #Timelapse
In this video we go through how to code the GoogLeNet or InceptionNet from the original paper in Pytorch. I explain how the network works in the first couple of videos and then how to implement it from scratch.
Paper:
https://arxiv.org/abs/1409.4842
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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PyTorch Playlist:
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CHROMA GALAXIES is the total of my expertise in designing landscapes and otherworldly sceneries with paint. Following the script of creativeblack from Giantstep, I shot a total of almost 35 Terabytes in 8K Raw Video over a period of 8 months, including the complete set of inks and fluids, macro lenses, lights and motion control. All scenes were created on paper.
The visuals are accompanied by a composition from Tristan Barton. Find out more about his outstanding work here: https://www.tristanbartonmusic.com/
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CHROMA GALAXIES is available for licensing in 4K and 8K, both SDR and HDR.
Fluid Art: Roman De Giuli
Music: Tristan Barton
Concept: Giantstep // Creative Black // Soyoung Kim
Production: Terracollage
Assistant: Daniel Augustin
Many thanks to all people who have been involved in this project!
Terracollage // Experimental Fluid Art and Macro Cinematography // Licensing // Production // 8K // HDR
http://www.terracollage.com
http://www.facebook.com/terracollage
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#8k #hdr #colors
Iceland is one of the most scenic countries in the world. Enjoy this 4K relaxation film across the Iceland's most beautiful regions. From endless waterfalls to the vibrant volcanic terrain, Iceland's landscapes have so much to offer.
My other Relaxation films:
Switzerland Relaxation Film 4K - https://youtu.be/LQuLAbG62vY
Norway Relaxation Film 4K - https://youtu.be/CxwJrzEdw1U
Nordics Relaxation Film 4K - https://youtu.be/f5rZ6VYHAgo
Scotland Relaxation Film 4K - https://youtu.be/Mc7XKiNrHQc
Alps Relaxation Film 4K - https://youtu.be/3PZ65s2qLTE
Madeira FPV Relaxation Film 4K - https://youtu.be/VukLV0AoeFA
Winter Relaxation Film 4K - https://youtu.be/l4VEQpBcOgA
Faroe Islands Relaxation Film 4K - https://youtu.be/xl4c2yAVAd4
Hawaii Relaxation Film 4K - https://youtu.be/MxcJtLbIhvs
Where I get my music - http://share.mscbd.fm/shirleyfilms
Great Place for Stock footage - https://bit.ly/38b1EJH
Free stock footage, guides & luts - https://sellfy.com/ryanshirley
My Camera Gear - https://www.amazon.com/shop/ryanshirley
Google's TensorFlow is currently the most popular Deep Learning library on GitHub. This video will provide an overview of the library's strengths, weaknesses, and numerous features.
Deep Learning TV on
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TensorFlow grew out of a proprietary deep net library called DistBelief, which was built by Google as part of the Google Brain project. The goal of this project is to build a system for large scale machine learning models so that they can be deployed on a variety of platforms – from smart phones to clusters consisting of 100s of nodes and 1000s of GPUs. Another goal is to increase the portability of machine learning and to simplify the process of transferring research models to commercial-grade applications.
Like Theano, TensorFlow is based on a computational graph – a directed graph where nodes represent mathematical operations and edges represent the flow of data between nodes. The data set carried by an edge from one node to another is called a tensor, a type of multi-dimensional array. The library's name stems from the way these tensors flow across the network. Due to its structure, TensorFlow is not limited to neural net applications. Any domain where computation can be modelled as a data flow graph can benefit from the TensorFlow library. TensorFlow also shares several important features with Theano such as auto differentiation, shared and symbolic variables, and common sub-expression elimination.
Different types of deep nets can be built using TensorFlow, although TensorFlow does not allow for hyper-parameter configuration of deep nets. The TensorFlow Roadmap suggests a possible layer configuration feature, but there is currently no mention of when this would be implemented. For now, the library Keras provides TensorFlow with a layer configuration option. TensorFlow also provides a “no-nonsense” interface for C++. In addition, TensorFlow has comprehensive and informative documentation, including the March 2016 release of a free Massive Open Online Course (MOOC) on Udacity.
TensorFlow and Theano are very similar, but TensorFlow was several orders of magnitude slower than Theano from its release until March 2016. The TensorFlow community has since worked to combat performance and other issues. An April 2016 update from Soumith Chintala of Facebook shows that TensorFlow performed well in the ImageNet category, with no Theano-based libraries in the rankings.
An important feature of TensorFlow v0.8 is the implementation of data parallelism, which is similar to the Iterative Map-Reduce from Deeplearning4j. This version of TensorFlow also implements model parallelism, where different portions of the graph can be trained on multiple devices in parallel. The TensorBoard feature allows users to visualize both performance and the different levels of the network architecture. Due to community requests, TensorFlow's Roadmap also includes support for OpenCL, a fast-rising standard for GPU computing.
URLs
Soumith Chintala benchmarks - https://github.com/soumith/convnet-benchmarks
TensorFlow road map - https://www.tensorflow.org/ver....sions/r0.8/resources
Github ML Showcase - https://github.com/showcases/machine-learning
Somatic Ruby post - http://www.somatic.io/blog/ten....sorflow-is-coming-to
TensorFlow MOOC - https://www.udacity.com/course..../deep-learning--ud73
Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
Big thanks to Brilliant.org for supporting this channel check them out at https://www.brilliant.org/CodeBullet
check out Brandon Rohrers video here: https://www.youtube.com/watch?v=ILsA4nyG7I0&t=638s
Become a patreon to support my future content as well as sneak peaks of whats to come.
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Cute Baby Animals 4K Video Ultra HD | Wildlife 4K UHD | Cinematic Video
There is nothing sweeter and more beautiful than children. Babies of all animals look very helpless, charming and funny.
Subscribe to our channel, let's travel around the world together!
Thanks for watching! ☺
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More our videos:
Macro in Nature 4K: https://youtu.be/qnL1PP12KzU
Pink Flamingo 4K Video: https://youtu.be/AdFnYJZooF8
Hong Kong 4K Video: https://youtu.be/822UfcAUKGw
The Dolomites 4K: https://youtu.be/1XjbvpzuD1s
Tokyo 4K Video: https://youtu.be/gaN1H4V_nqg
Poland 4K Video: https://youtu.be/zCRv8haPwNs
Seychelles 4K Video: https://youtu.be/xCFU8m1czc0
Rio de Janeiro 4K: https://youtu.be/q84F3zT9Y74
Prague 4K Video: https://youtu.be/7id2ZJn8cgY
Iceland Volcano Eruption 4K: https://youtu.be/EhCLzuHsphE
Georgia 4K Video: https://youtu.be/VZ3M7uZ4IyE
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Copyright information:
▶ All Footage and Music used In this video Is Licensed
▶ All Footage Was Edited And Color Corrected By Me
▶ I Use Paid Footage In My Channel
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#Animals #baby #babyanimals #littleanimals #wildlife #wildanimals #nature #4k #4kvideo #cinematicvideo #uhd #video4k #travel #aroundtheworld #virtualtour
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This Edureka video on Java Projects will explain you 3 projects based on Core and Advanced Java Concepts. You will learn below-listed projects through this video:
00:00:00 Introduction
00:00:48 ATM Machine ( Based on Core Java)
00:09:41 Text Editor (Based on Swings and Applets)
00:17:36 Sign-up form (Based on JSP and Java Servlets)
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This AWS tutorial for beginners will help you understand what is AWS (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon red shift, amazon ecs, amazon route 53, amazon vpc, aws cloudfront, aws sagemaker, aws autoscaling, and aws elastic beanstalk), the future of AWS and a demonstration on deploying, in the end we’ll also be discussing AWS certification and AWS interview questions for beginners and advanced level.. This AWS tutorial video is suitable for those individuals who aspire to become AWS Certified Solution Architect. However, let move ahead and understand what AWS actually is and what are the services that AWS provides to an organization.
The below topics are covered in this AWS tutorial:
00:00:00 What is AWS?
00:15:47 AWS Tutorial
00:37:51 AWS EC2
00:58:30 AWS Lambda
01:14:42 AWS S3
01:58:17 AWS IAM
02:39:42 AWS cloud formation
03:20:04 AWS ECS
03:57:13 AWS route 53
04:23:26 AWS Elastic beanstalk
04:51:59 AWS VPC
05:47:04 AWS SageMaker
06:11:55 AWS CloudFront
06:26:34 AWS Autoscaling
06:44:30 AWS Redshift
07:06:19 AWS vs Azure
07:14:07 AWS vs GCP
07:22:12 AWS vs Azure vs GCP
07:35:50 Kubernetes on AWS
08:14:55 How to become a solution architect
08:24:53 AWS Interview questions -Part 1
09:55:26 AWS Interview questions -Part 2
#AWSTutorial #AWSFullCourse #AWSCourse #AWSForBeginners #AWS #AWSCourseForBeginners#AWSTraining #AWSTutorialForBeginners #AWSCloudPractitioner2021#AWSFullTutorial #AWSInterviewQuestions #Simplilearn
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What is AWS?
Amazon web service is an online platform that provides scalable and cost-effective cloud computing solutions. AWS is a broadly adopted cloud platform that offers several on-demand operations like compute power, database storage, content delivery, etc., to help corporates scale and grow.
AWS Services
Amazon has many services for cloud applications. Let us list down a few key services of the AWS ecosystem and a brief description of how developers use them in their business.
Amazon has a list of services:
✅Compute service
✅Storage
✅Database
✅Networking and delivery of content
✅Security tools
✅Developer tools
✅Management tools
About AWS Solutions Architect Certification Training Course:
AWS certification training is essential for every aspiring AWS certified solutions architect. You will master AWS architectural principles and services such as IAM, VPC, EC2, EBS and elevate your career to the cloud, and beyond with this AWS solutions architect course. The AWS Solutions Architect Certification training will enable you to design, plan and scale AWS implementations utilizing over 70 cloud computing services. The AWS course is aligned with the latest AWS exam featuring Amazon designated best practices.
Benefits:
The need for AWS certified professionals is increasing every year. The AWS market is expected to reach $236B by 2020 at a CAGR of 22 percent with more than 380,000 cloud computing jobs available around the world (source: Indeed). A snapshot of jobs and related salaries is mentioned below.
What does an AWS solutions architect do?
An AWS solutions architect is a professional who designs cost-effective, available, scalable, and fault-tolerant systems on AWS. They identify and define the technical requirements for an AWS-based application and decide which AWS services meet those requirements. They have a clear understanding of the basic architectural principles of building on the AWS Cloud platform.
AWS Training Course Key Features
✅ 16 live demos of AWS services
✅ 3 simulation exams (60 questions each)
✅ 3 real-time industry projects with integrated labs
✅ 100% money-back guarantee
✅ AWS select technology partner
✅ 8X higher live interaction with live online classes by industry experts
Learn more at: https://www.simplilearn.com/cloud-computing/aws-solution-architect-associate-training?utm_campaign=AWS&utm_medium=Description&utm_source=youtube
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🔥 Artificial Intelligence Engineer Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=10March2023CNNTutorialforBeginners&utm_medium=DescriptionFirstFold&utm_source=youtube
This "CNN tutorial for beginners" by Simplilearn will take you through the concept of CNN and why we use it. This CNN tutorial python explains Conventional Neural Network with a suitable example. In addition, we will use the MNIST dataset to demonstrate the concept of Conventional Neural Networks in image classification. Below are the topics we are covering in this CNN tutorial for beginners.
00:00 CNN tutorial for beginners
01:38 What is CNN?
03:18 How does CNN recognize images?
04:06 Layers in CNN
04:25 Convolution Layer
04:53 ReLU Layer
05:37 Pooling Layer
06:21 Structure of CNN
07:12 How exactly does CNN recognize an image
08:05 Hands-on lab Demo
🔥 Explore our Free Introduction to Artificial Intelligence Course with a Completion Certificate: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=10March2023CNNTutorialforBeginners&utm_medium=Description&utm_source=youtube
What is CNN
A convolutional neural network is a feed-forward neural network that is generally used to analyze visual images by processing data with grid-like topology. It’s also known as ConvNet. A convolutional neural network is used to detect and classify objects in an image.
Layers in a Convolutional Neural Network
A convolution neural network has multiple hidden layers that help in extracting information from an image. The three important layers in CNN are:
Convolution layer:- This is the first step in the process of extracting valuable features from an image. A convolution layer has several filters that perform the convolution operation. Every image is considered a matrix of pixel values.
ReLU layer:- ReLU stands for the rectified linear unit. Once the feature maps are extracted, the next step is to move them to a ReLU layer.
ReLU performs an element-wise operation and sets all the negative pixels to 0. It introduces non-linearity to the network, and the generated output is a rectified feature map.
Pooling layer:- Pooling is a down-sampling operation that reduces the dimensionality of the feature map. The rectified feature map now goes through a pooling layer to generate a pooled feature map.
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#CNN #ConventionalNeuralNetwork #CNNTutorial #CNNTutorialForBeginners #DeepLearning #DeepLearningTutorial #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse #Simplilearn
➡️ Professional Certificate Program In AI And Machine Learning
In collaboration with Purdue, our AI and ML Course will help you unlock your AI and ML potential. You'll study Machine Learning, Deep Learning, Computer Vision, NLP, Speech Recognition, and Reinforcement Learning with Simplilearn's AI ML course online.
✅ Key Features
- Professional Certificate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- 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 help
✅ Skills Covered
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
-GANs
- Keras
- Tensorflow
- Reinforcement Learning
- Speech Recognition
- Recommendation Systems
- Ensemble Learning
- NumPy
👉Learn More at: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=10March2023CNNTutorialforBeginners&utm_medium=Description&utm_source=youtube
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About the Webinar:
This live and interactive webinar session by simplilearn is focused on design thinking. Our expert Leonard will help you achieve increased efficiency and profitability outcomes through a digital transformation using design thinking.
🔥Explore our FREE Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=DesignThinkingWebinar27Sep22&utm_medium=Description&utm_source=youtube
About the Speaker:
Dr. Leonard Bertain, CEO, Consortium of Problem Solvers.
1. Solved problems for over 200 CEOs with a focus on 100 to 1 ROI solutions
2. Corrects inefficiencies and improves profitability in client businesses from 10 people up to Fortune 100 companies
3. Co-author of “5/67 Problem Solving: How to solve Wicked Problems...correctly.”
Design thinking Industry Expert Leonard will discuss:
1. The parallels between scientific thinking and design thinking
2. The role of design thinking in digital transformation
3. How to apply scientific thinking to the design thinking process
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Design Thinking Certification Training Course:
This Design Thinking Course lets you master design thinking concepts—a powerful problem-solving process that involves a deep understanding of customer needs. You can boost your grasp of business strategy and innovation to drive a design thinking culture in your organization with the help of this Design Thinking Training.
Design Thinking Course Overview:
This Design Thinking Certification introduces you to the ImaginXP 5D design framework through case studies. You’ll learn to identify problems, define requirements, and frame, ideate, prototype, test, and implement a business idea. You’ll also learn how to implement techniques for defining market fit and growth of your product and business.
Skills Covered:
✅ 5D design thinking framework
✅ Discover Define Dream Design Dry Run phases
✅ Ideate workshops
✅ Create innovative solutions
✅ Increase conversion rates
✅ Perform iterative tests
✅ Create interactive prototypes
✅ Perform behavioral user testing
👉Learn more at: https://www.simplilearn.com/design-thinking-certification-training-course?utm_campaign=DesignThinkingWebinar27Sep22&utm_medium=Description&utm_source=youtube
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CEH vs CISSP vs CompTIA Security+:Which is right for you? | Best IT Security Certification | Edureka
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐂𝐈𝐒𝐒𝐏 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): www.edureka.co/cissp-certification-training-course
Are you passionate about cybersecurity and considering a career in this rapidly evolving field? Then welcome to this informative video on CEH vs CISSP vs CompTIA Security+, designed to help you choose the right certification.
In this Edureka video, we'll examine the prerequisites, exam difficulty, career prospects, and industry recognition for each certification. We'll also discuss the recommended pathways for professionals at different stages of their cybersecurity journey, whether you're starting from scratch or seeking advanced expertise. Take advantage of this valuable opportunity to advance your career in cybersecurity!
Topic Covered:
00:00:00 Introduction
00:00:18 CEH vs CISSP vs CompTIA Security+
00:01:48 CEH vs CISSP vs CompTIA Security+ Difficulty & Prerequisites
00:02:27 CEH vs CISSP vs CompTIA Security+ Opportunities and salary
00:03:16 CEH vs CISSP vs CompTIA Security+ Which certification is right for you
#CybersecurityCertifications #CEH #CISSP #CompTIASecurity+ #CareerProspects #CertificationComparison
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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
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MIT Introduction to Deep Learning 6.S191: Lecture 9
The Modern Era of Statistics
Lecturer: Ramin Hasani
2023 Edition
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline - coming soon!
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How To Train Large Language Models LLM like GPT 4 on PyTorch 2.0 | Distributed Model Training on GPU
Hi, thanks for watching our video about training large language models on PyTorch 2.0
In this video we’ll walk you through:
- GPT4
- GPU
- Multimodal
- LLM
- Model Training
- Model Parallelism
- Distributed Data Parallel DDP
- Deep Learning
- ChatGPT
- palm-e Models
- VALLE
- GOOGLE LAMDA
Mode Parallel, Gradient Accumulation, Data Parallel with PyTorch, Larger Batches
The PyTorch Distributed Stack is a set of PyTorch features that facilitate training models in distributed systems. PyTorch has introduced multiple new features in the distributed package to help support larger scale and higher efficiency for both data and model parallel. In this talk, Yanli Zhao (Software Engineer, Meta AI) shares tips on how to reduce memory footprint, fit larger models and achieve significant speedup with distributed systems with features like Zero Redundancy Optimizer, DistributedDataParallel, FullyShardedDataParallel, CUDA RDMA and ShardedTensor.
OpenAI has officially announced GPT-4 the latest version of its incredibly popular large language model powering artificial intelligence (AI) chatbots. ChatGPT is an AI chatbot that utilizes the language models of GPT-3 and GPT-4 for interactive communication. In other words you can use chatgpt with gpt4. A Generative Pre-Trained Transformer (GPT) is a sophisticated neural network architecture used to train large language models (LLMs). It makes use of large amounts of publicly available Internet text to simulate human communication.
Main improvements:
* It's multimodal (what it is is in video)
* Longer context length
* Better performance
* More safer
chatgpt,
gpt4,
google AI,
Google Lamda,
Google PALM,
artificial intelligence,
Machine learning,
transformer models,
deep learning,
Ray,Ray Tune,Hyperparameter optimization,machine learning,mlflow,open-source
TIMESTAMPS
0:00 Intro
0:55 PyTorch
1:25 Autograd
2:35 PyTorch Distributed
3:10 Types of Parallelization
5:20 DDP
6:38 FSDP
7:48 Fairscale
8:55 PyTorch Lightning
10:30 Model Parallel
11:48 Sagemaker Training
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LINKS/Sources USED:
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YC: https://www.youtube.com/watch?v=hQC5O3WTmuo
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Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/bpwnd
ChatGPT Tutorial for Developers | How to use ChatGPT for Coding (Python, JavaScript, HTML) | Edureka
In this Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 𝐟𝐨𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬, you will learn how to use ChatGPT for coding and programming using different languages. ChatGPT can become a very. useful tool for every developer.
00:00 ChatGPT for Developers
00:40 What is ChatGPT
01:37 How ChatGPT Works
02:16 ChatGPT vs Codex
03:16 How to use ChatGPT
3:51 ChatGPT for Programming
04:06 ChatGPT for Shell Scripting
08:45 ChatGPT for Python Programming
10:47 ChatGPT for HTML and CSS Coding
12:10 ChatGPT for JavaScript
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
⏩ Edureka Chat GPT Explained Playlist: http://bit.ly/3HGRy3G
#ChatGPTforDevelopers #ChatgptForCoding #edureka #chatgptexplained #chatgpt #openai #chatgpttutorial #chatgpt3 #ai #nlp #artificialintelligence
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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
🔵 About Edureka ChatGPT Certification Training Course
Edureka’s ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.
🔵 Why take up the Online ChatGPT Certification Course?
Interested individuals can opt for the Online ChatGPT Certification course as this course provides:
Comprehensive knowledge: The course provides a comprehensive understanding of ChatGPT, including its architecture, training methodology, and real-world applications.
Career advancement: The certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization.
Stay ahead of the curve: ChatGPT is a rapidly growing field, and with the certification, one can stay ahead of the curve and stay updated with the latest advancements in the industry.
Enhance skills: The course provides practical skills and knowledge that can be applied to various areas and industries.
🔵 Who should take up this ChatGPT Certification Course?
The ChatGPT Certification Course is suitable for a wide range of individuals, including:
AI professionals: This course is ideal for AI professionals who want to gain expertise in ChatGPT and expand their knowledge in the field of AI.
Developers: Developers who want to integrate ChatGPT into their projects and create new AI applications can benefit from the course.
Data scientists: Data scientists who want to understand how ChatGPT can be used to process and analyze large amounts of data can also benefit from the course.
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Unlock the potential of ChatGPT in your data analysis journey! 📊
In this video, we delve into how ChatGPT, a powerful language model, can be a game-changer for interpreting and extracting insights from your data. From understanding its capabilities to implementing it in real-world scenarios, we've got you covered. Whether you're a seasoned data analyst or just getting started, join us to explore the fusion of AI and data analytics. Subscribe for in-depth tutorials and stay ahead in the world of data science!
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#ChatGPTForDataAnalytics #DataAnalytics #ChatGPT #DataAnalyticsUsingAI #DataAnalyticsUsingChatGPT #Simplilearn
➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
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- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning
👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=28Jan2024ChatGPTForDataAnalytics&utm_medium=Description&utm_source=youtube
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There's more over on Veritasium! "What is NOT Random?": https://www.youtube.com/watch?v=sMb00lz-IfE
SOURCES AND MORE BELOW!
My twitter: https://twitter.com/tweetsauce
My instagram: http://instagram.com/electricpants
Generate random numbers using atmospheric noise: http://www.random.org/
randomness:
http://www.random.org/randomness/
http://www.random.org/analysis/
http://faculty.rhodes.edu/wetz....el/random/mainbody.h
http://faculty.rhodes.edu/wetz....el/random/level23int
https://www.cs.auckland.ac.nz/....~chaitin/sciamer.htm
flipping a coin until 10 heads happen in a row: https://www.youtube.com/watch?v=rwvIGNXY21Y
rolling dice until you get a Yahtzee: https://www.youtube.com/watch?v=fiTwar7mFws
find word in YouTube video URLs with this in Google: allinurl:[your word here] site:youtube.com/watch
"Random" as slang:
http://www.nytimes.com/2010/10/31/magazine/31FOB-onlanguage-t.html?_r=3&ref=on_language
http://www.theawl.com/2011/03/....our-obsession-with-t
The many sides of dice: http://commons.wikimedia.org/w....iki/Dice_by_number_o
non-transitive dice: http://mathsgear.co.uk/product....s/non-transitive-gri
Checking the fairness of dice:
http://www.awesomedice.com/blo....g/353/d20-dice-rando
http://www.1000d4.com/wp-conte....nt/uploads/2013/02/d
https://www.youtube.com/watch?v=NKhpYJzCcSw
http://www.dakkadakka.com/wiki/en/That's_How_I_Roll_-_A_Scientific_Analysis_of_Dice
http://www.insidescience.org/b....log/2012/09/12/dice-
A fancy super-fair die:
http://kotaku.com/the-most-tec....hnologically-advance
coin-flipping odds:
http://econ.ucsb.edu/~doug/240a/Coin%20Flip.htm
[PDF] http://statweb.stanford.edu/~s....usan/papers/headswit
http://www.dartmouth.edu/~chan....ce/chance_news/recen
a nickel landing on it's side:
http://labs.adsabs.harvard.edu..../adsabs/abs/1993PhRv
[PDF]: http://arxiv.org/pdf/1008.4559.pdf
a book that will keep you guessing: http://www.amazon.com/Million-....Random-Digits-Normal
17 'feels' random: http://scienceblogs.com/cognit....ivedaily/2007/02/05/
How to be random (er.. wandom): http://www.wikihow.com/Be-Random
Bell's inequality:
http://drchinese.com/David/Bel....l_Theorem_Easy_Math.
http://www.felderbooks.com/papers/bell.html
http://www.quantiki.org/wiki/Bell's_theorem
Bell's inequality videos:
https://www.youtube.com/watch?v=z-s3q9wlLag
https://www.youtube.com/watch?v=7zfnvGXpy-g
https://www.youtube.com/watch?v=qd-tKr0LJTM
You can't even handle how wandom and quirky I am: https://www.youtube.com/watch?v=STSNHeAtETM
160 Greatest Arnold Schwarzenegger Quotes https://www.youtube.com/watch?v=pDxn0Xfqkgw
🔥E&ICT Academy, NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!
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Why Machine Learning & AI?
Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
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PG Program in Machine Learning & AI
1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
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Program Features
1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
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Industry Projects
1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
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Mentors & Instructors
Dr. RBV Subramaanyam
Professor NITW
Dr. DVLN Somayajulu
Professor NITW
Dr. P. Radha Krishna
Professor NITW
Dr. V. Ravindranath
Professor JNTU Kakinada
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Is this program for me?
If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.
Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2
Will I get any certificate at the end of the course?
Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.
For more information, Please write back to us at sales@edureka.in or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).
🔥AWS Training: https://www.edureka.co/aws-certification-training
This Edureka Live tutorial on ‘AWS Machine Learning Tutorial’ will introduce you to the nitty-gritty of Cloud Computing, Machine Learning and help you build an ML model using AWS.
🔹Amazon AWS Video Tutorial Playlist https://goo.gl/9fQX6J
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How it Works?
1. This is a 5 Week Instructor led Online Course.
2. The course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. 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.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training, you will have to complete the project based on which we will provide you a Verifiable Certificate!
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About the Course
AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.
During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services: EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
Course Objectives
On completion of the AWS Architect Certification training, a learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
Who should go for this course?
This course is designed for students and IT professionals who want to pursue a career in Cloud Computing. The course is the best fit for:
1. Professionals interested in managing highly-available and fault-tolerant enterprise and web-scale software deployments.
2. Professionals who want Project Experience in migrating and deploying cloud-based solutions.
3. DevOps professionals.
Pre-requisites
There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).