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NVIDIA GeForce RTX 3050 GPU on Acer Nitro 5 vs CPU performance comparison. Thanks To Acer & NVIDIA for sharing this amazing laptop.If you're thinking of getting an RTX Laptop, then NVIDIA is also providing an amazing opportunity for Students, if you purchase an RTX Laptop then you can avail a Deep Learning Instructor-Led Certification Course from Deep Learning Institute which will give you a head start in your Deep Learning Career.
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DATA is available on the Trimble Learn platform: https://learn.trimble.com/lear....n/course/external/vi

This course is intended to introduce the Deep Learning (Convolutional Neural Network (CNN)) functionalities within the Trimble eCognition Developer Software and consists of 4 videos.

+ Introduction to Deep Learning 1 of 4: Introduction and Set-up
+ Introduction to Deep Learning 2 of 4: Creating Samples
+ Introduction to Deep Learning 3 of 4: Create / Train / Save CNN
+ Introduction to Deep Learning 4 of 4: Apply CNN with OBIA

This course is for free and can be conducted also with the Developer Trial version: https://geospatial.trimble.com/ecognition-trial.

Accessing this course from the Trimble Learn platform, you will have to create an account (also for free) and enroll to this course. Additionally to the DATA you will also receive a CERTIFICATE if you finish the course on the Trimble Learn platform.

Enjoy diving into eCognitions Deep Learning world!

______________Video Content_________________

00:00​ - Introduction
00:29​ - Create a model - Theory
01:46 - Train a model - Theory
02:59 - Create Convolutional Neural Network (alg.)
04:33 - Shuffle labeled sample patches (alg.)
05:27 - Train Convolutional Neural Network (alg.)
06:52 - Save Convolutional Neural Network (alg.)


(⊙_☉)

Kaggle notebook with all the code: https://www.kaggle.com/wwsalmo....n/simple-mnist-nn-fr

Blog article with more/clearer math explanation: https://www.samsonzhang.com/20....20/11/24/understandi

AI Papers Reading and Coding - Transformer: Attention Is All You Need

Hôm nay chúng ta sẽ đọc và lập trình bài báo Transformer: Attention Is All You Need. Đây là video diễn giải phần tiếp theo: Decoder. Một ứng dụng nổi tiếng của Transformer Decoder chính là mô hình sinh GPT, bạn có thể sinh hình quả bơ từ một câu. :D

Đây chính là mô hình xương sống cho những mô hình Deep Learning trong xử lý ngôn ngữ tự nhiên hiện tại.

Code bài báo: https://github.com/bangoc123/transformer

Đây là nội dung trong chuỗi video Papers-Videos-Code: https://protonx.ai/papers-videos-code/

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This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.
Below are the topics covered in this Data Science Full course tutorial:
00:00:00 Introduction
00:00:45 Agenda
00:02:59 What is Data Science
00:04:31 Data Science Basics
00:07:13 Walmart use cases
00:12:05 Who is a Data Scientist
00:13:47 Role of a Data Scientist
00:15:39 Technologies to learn for a Data scientist
00:44:16 Data Scientist Roadmap
01:00:55 Data Science Salary
01:09:44 Statistics and Probability
01:40:48 Use Case
01:50:43 Confusion matrix
02:00:15 Probability
02:15:56 Bayes Theorem
02:22:22 Inferntial Statistics
02:31:37 Use Case
02:42:20 What is Machine Learning
02:59:23 What is Regression in Machine Learning
03:08:05 Use Case
03:25:53 Logistic Regression
03:32:46 Use case
04:14:25 Decision Tree Algorithm
04:15:01 What is Classification
04:19:12 Types of Classification
04:28:28 What is Decision Tree
04:35:35 Decesion Tree Terminologies
04:59:50 Random Forest
05:03:11 Working of Random Forest
05:04:08 RandomSampling with Replacement
05:12:15 Advantages of Random Forest
05:15:37 Hands-on Random forest
05:27:01 KNN Algorithm
05:29:02 Features of KNN
05:37:17 How Does KNN Algorithm Works
05:42:50 Hands-on KNN Algorithm
05:59:30 Naive Bayes Classifier
06:19:50 Support Vector Machine
06:45:16 K-means clustering Algorithm
07:05:27 Apriori Algorithm
07:21:14 Hands-on
07:35:08 Reinforcement Learning
07:38:25 Reinforcement Learning - Counter strike example
07:56:36 Q Learning
07:57:34 Defining a problem statement
08:01:37 The Bellman Equation
08:19:25 What is Deep Learning
08:23:24 Why do we need Artificial Neuron
08:33:55 WHat is Tensorflow
08:43:50 Tensorflow Code Basics
08:55:45 What is Computational Graph
09:18:18 Limitation of a Single layer perception
09:25:54 Multi-layer Perceptron Use case
09:57:08 Data Scientist Resume
10:02:33 Data Science Interview Question & Answers

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

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐁𝐥𝐨𝐜𝐤𝐜𝐡𝐚𝐢𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/blockchain-training (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Ethereum Smart Contracts Tutorial (Ethereum blog: https://goo.gl/9vFwJj ) video will give you a complete understanding on Ethereum and Smart Contracts. This video helps you to learn following topics:
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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

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In this Simplilearn video on Business Analyst Full Course In 2 Hours, you will look at topics like the importance of business analysts, their skills and their duties, the business analysis process, demo on business analysis with excel, and business analyst interview questions. So, let's get started with this business analyst training for beginners!
The topics covered in this business analyst full course are:
Introduction 00:00:00
Need for a Business Analyst 00:01:18
Who Is a Business Analyst 00:05:33
Business Analyst Responsibilities 00:11:50
Business Analyst Skills 00:14:01
Business Analyst Certification 00:25:06
Business Analyst Roadmap 00:30:29
Business Analysis Knowledge Areas 00:31:37
Agile Methodology 00:33:22
Scrum Methodology 00:35:01
Business Analyst Career 00:37:55
Business Analyst Tools 00:38:40
Business Analysis With Excel 00:39:08
Business Analyst vs Data Analyst 01:19:04

Dataset Link - https://drive.google.com/drive..../folders/1v4uqpSHmf5

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Who Is A Business Analyst?
A business analyst understands the business problems and identifies the solutions that will maximize the organization's value to its stakeholders. A business analyst is an individual who works closely with the technology team to improve the quality of the services being delivered. They ensure the customer needs are correctly interpreted and translated into application. They possess programming, SQL, and business intelligence skills to deliver data-driven solutions.

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Get your business analysis career started with our Post Graduate Program in Business Analysis, in partnership with Purdue University. This business analysis certification program helps you build extensive business expertise with real-world projects and prepares you for the business analyst role. This Post Graduate Program in Business Analysis will help you master business analysis techniques, Agile Scrum methodologies, SQL database, and visualization tools, including Excel, Power BI, and Tableau. You will learn about business analysis planning and monitoring, build interactive dashboards and understand the competencies of a Business Analyst.

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** AI & Deep Learning Using TensorFlow - https://www.edureka.co/ai-deep....-learning-with-tenso **
This Edureka video will provide you with a detailed and comprehensive knowledge of TensorFlow Object detection and how it works. It will also provide you with the details on how to use Tensorflow to detect objects in deep learning method.

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Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE

---------------------------------------Edureka Post Graduate Courses-------------------------------------------

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How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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!

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

About the Course

Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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

Why Learn Deep Learning With TensorFlow?

TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.

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Every domain today leverages Data Science and its findings to further its cause. Therefore, it is very important to understand what is Data Science and how can it add value to your business, hence, the future of this technology and professionals associated with it.
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Getting a Job in Data Science
Meeting the Requirement
Scope of Data Science

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐚𝐥𝐞𝐬𝐟𝐨𝐫𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/salesfo....rce-administrator-an (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This "Workflow in Salesforce" video by Edureka will help you understand what exactly is workflow in salesforce. It will also talk about the criteria and the various actions that can be automated using workflow in salesforce. Finally, we will then conclude the session with a demo, which will explain how to create a workflow rule in salesforce.
Topics Covered:
00:00:00 Introduction
00:00:27 Agenda
00:01:01 What are workflow rules
00:02:40 Types of action in workflow
00:05:36 Evaluation criteria for workflow
00:07:35 Use cases
00:10:04 Demo Create a workflow rule

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 PMP Online Training: http://bit.ly/3XugO44
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🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


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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.

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This video on "Blockchain in 7 Minutes" by Simplilearn will help you understand what is Blockchain and how blockchain works. In this video, you will understand what led to the creation of Blockchain, what Blockchain is, how a Bitcoin transaction works, how Blockchain plays an integral role in it with features like hash encryption, proof of work, and mining, and how Blockchain technology is used in real-life scenarios. Now, let’s dive into this video and understand the basics of Blockchain and How Blockchain works.
Below are the topics we have covered in this Blockchain in 7 minutes video.
00:00 Blockchain In 7 Minutes
01:03 What are Cryptocurrencies?
01:30 What Is A Ledger?
03:13 What Is Blockchain?
05:50 How Walmart uses Blockchain?

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Simplilearn’s Blockchain Certification Training has been designed for developers who want to decipher the global craze surrounding Blockchain, Bitcoin and cryptocurrencies. You’ll learn the core structure and technical mechanisms of Bitcoin, Ethereum, Hyperledger and Multichain Blockchain platforms, use the latest tools to build Blockchain applications, set up your own private Blockchain, deploy smart contracts on Ethereum and gain practical experience with real-world projects.

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Blockchain technology is the brainchild of Satoshi Nakamoto, which enables digital information to be distributed. A network of computing nodes makes up the Blockchain. Durability, robustness, success rate, transparency, incorruptibility are some of the enticing characteristics of Blockchain. By design, Blockchain is a decentralized technology which is used by a global network of the computer to manage Bitcoin transactions easily. Many new business applications will result in the usage of Blockchain such as Crowdfunding, smart contracts, supply chain auditing, etc.

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In this interactive session on "Top Networking Commands," we will look at some of the preferred commands applied in the window's command prompt application to access information and configure network settings for our respective devices. In this demo session, you will understand the execution and the functioning of multiple network commands for better handling of our systems.

The top networking commands covered in this demo session are:
00:00 introduction
00:59 ipconfig
01:36 hostname
01:53 ping
02:22 nslookup
02:56 tracert
03:17 arp
03:31 pathping
03:52 netstat
04:09 netshare
04:20 route
04:40 netsh
04:58 tasklist
05:26 taskkill
05:47 systeminfo
06:01 wmic

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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on expectation-maximization in the context of the mixture of Gaussian and naive Bayes models, as well as factor analysis and digression.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

In this short clip, Dr. Craig Booth explains what a Large Language Model (LLM) is and how they work. LLMs are the foundational technology category behind models like GPT3, BERT, and other generative AI models.

To watch the complete webinar, go to: https://www.youtube.com/watch?v=LgtDe7ufSRA

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Advanced Excel Full Course For 2023 ny simplilearn is dedicated in helping aspiring data analysts and business analysts with the foundations of excel and the most significant Advanced Excel concepts.
This Tutorial on Excel Training by Simplilearn will include the following:
0:00:00 Excel Basic Knowledge
0:05:22 How To Lock(Protect) Cells In Excel
0:23:31 Excel Print Page Setup
0:27:51 Goal Seek In Excel
0:30:20 How To Freeze Row In Excel Tutorial
0:48:20 Charts In Excel
0:51:40 Conditional Formatting In Excel
0:57:24 How to Count Colored Cells in Excel?
1:24:08 Data Validation In Excel
2:04:10 Excel Lookup Tutorial
2:06:22 How to implement Vstack Function In Excel
3:03:45 Excel Power Query Tutorial For Beginners
3:08:10 How To Convert PDF To Excel
3:10:43 Excel Round Off Formula
3:13:10 Combining Data From Multiple Cells In Excel
3:16:36 DateDif In Excel Explained
3:20:31 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
3:24:04 How to Create a Pivot Table Using Multiple Sheets in Excel
3:28:28 Slicers In Excel
4:07:16 Excel Tips And Tricks 2021
4:14:53 SUMIFS Formula in Excel
4:25:59 How to Create Drop Down List In Excel?
4:32:52 Excel Budget Template 2021
4:43:00 Excel MIS Report
5:45:14 Excel Macros And VBA For Beginners
5:58:52 Userform In Excel
6:12:49 UiPath Excel Automation Tutorial
6:39:25 Regression In Excel
7:36:42 Excel Power Query Tutorial For Beginners
8:04:41 Pivot Tables In Excel
8:08:49 How To Recover Unsaved Excel File
9:00:35 Time Series Analysis
9:14:27 Project Planning
11:17:37 Excel Interview Questions And Answers

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➡️ Data Analytics Bootcamp
The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.

✅ Key features
- Simplilearn Career Service helps you get noticed by top hiring companies
- Data Analytics Bootcamp Certificate from Caltech CTME
- Caltech CTME Circle Membership
- Online Convocation by Caltech CTME Program Director
- Access to integrated Data Analytics Labs

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analytics using Python
- Data Visualization with Tableau
- Linear and Logistic Regression
- Data Manipulation
- Data Analysis in AWS

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