In this video we go through how to code a simple rnn, gru and lstm example. Focus is on the architecture itself rather than the data etc. and we use the simple MNIST dataset for this example.

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.
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DL Specialization (affiliate): https://bit.ly/30npNrw
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DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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

In this video we go through how to implement a dynamic algorithm for solving the sequence alignment or edit distance problem. This is also referred to as the Needleman Wunsch algorithm, it seems as if this algorithm has quite many names :)

Code repository:

https://github.com/AladdinPerz....on/Algorithms-Collec

I recommend watching the explanation video before watching this implementation:

https://youtu.be/bQ7kRW6zo9Y

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Transformers Rise Of The Dark Spark Full Movie Cinematic (2022) 4K ULTRA HD Action

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A revolution in AI is occurring thanks to progress in deep learning. How far are we towards the goal of achieving human-level AI? What are some of the main challenges ahead?

Yoshua Bengio believes that understanding the basics of AI is within every citizen’s reach. That democratizing these issues is important so that our societies can make the best collective decisions regarding the major changes AI will bring, thus making these changes beneficial and advantageous for all.

___________________________

Yoshua Bengio is one of the pioneers of Deep Learning. He is the head of the Montreal Institute for Learning Algorithms (MILA), Professor at the Université de Montréal, member of the NIPS board and co-founder of Element AI. With a PhD from McGill University (1991, Computer Science) and postdocs at MIT and AT&T Bell Labs, he holds the Canada Research Chair in Statistical Learning Algorithms, is a Senior Fellow of the Canadian Institute for Advanced Research and co-directs its program focused on deep learning. He is best known for his contributions to deep learning, recurrent nets, neural language models, neural machine translation and biologically inspired machine learning.

https://mila.umontreal.ca/en/
https://www.elementai.com/

___________________________

For more information visit http://www.tedxmontreal.com

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

This week we’re looking into transformers. Transformers were introduced a couple of years ago with the paper Attention is All You Need by Google Researchers. Since its introduction transformers has been widely adopted in the industry.

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Models like BERT, GPT-3 made groundbreaking improvements in the world of NLP using transformers. Since then model libraries like hugging face made it possible for everyone to use transformer based models in their projects. But what are transformers and how do they work? How are they different from other deep learning models like RNNs, LSTMs? Why are they better?

In this video, we learn about it all!

Some of my favorite resources on Transformers:
The original paper - https://arxiv.org/pdf/1706.03762.pdf
If you’re interested in following the original paper with the code - http://nlp.seas.harvard.edu/20....18/04/03/attention.h
The Illustrated Transformer – https://jalammar.github.io/ill....ustrated-transformer
Blog about positional encodings - https://kazemnejad.com/blog/tr....ansformer_architectu
About attention - Visualizing A Neural Machine Translation Model - https://jalammar.github.io/vis....ualizing-neural-mach
Layer normalization - https://arxiv.org/abs/1607.06450


Some images used in this video are from:
https://colah.github.io/posts/....2015-08-Understandin
https://jalammar.github.io/vis....ualizing-neural-mach
https://medium.com/nanonets/ho....w-to-easily-build-a-
https://medium.com/swlh/elegan....t-intuitions-behind-

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This Edureka "Ethical Hacking using Kali Linux" video will give you an introduction to Ethical Hacking and Kali Linux. This video will give you an exhaustive video on the fundamentals of Kali Linux and teach how to use the operating system along with its various tools. Below are the topics in this video:
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00:00:34 What is ethical hacking?
00:01:54 What is Kali Linux?
00:02:55 Why use Kali Linux?
00:07:50 Command Line Essentials0
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🔥Post Graduate Program in Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=ExcelFullCourseFeb4&utm_medium=DescriptionFirstFold&utm_source=youtube
This Excel Tutorial full course will help you get started with Excel and explore the features it offers. You will take a tour to understand Excel basics and look at how to write functions, sort, and filter data, how to import data and split data into multiple columns, learn about sumif and countif functions, and many more functions and formulas available in Microsoft Excel.

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

00:01:18 Introduction to MS Excel
00:04:47 Excel Basics
00:21:41 Lock Cells in Excel
00:27:09 Page Setup in Excel
00:45:13 What if Analysis
00:49:34 Charts in Excel
01:07:50 Data Validation in Excel
01:34:20 Lookup Functions in Excel
02:14:20 Slicers in Excel
02:18:42 Excel Budget Template
02:25:35 MIS Report in Excel
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02:47:09 Excel VBA
03:37:56 Regression in Excel
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05:29:50 Excel Interview Questions

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What is Microsoft Excel?
Excel is one of the best applications available on the market for creating spreadsheets to crunch numbers and dashboard reports as well as storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business.

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Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career. This Business Analytics certification course teaches you the basic concepts of data analysis and statistics to help data-driven decision-making. This training introduces you to Power BI and delves into the statistical concepts that will help you devise insights from available data in order to present your findings using executive-level dashboards.

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✅ 12 hours of self-paced video
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This video on PMP Certification Course By Simplilearn is led by experts who will help you prepare and pass the PMP exam by Project Management Institute(PMI). This course covers the best practices in project management covered in the 7th Edition of the PMBOK Guide and is aligned with the latest PMP Examination Content Outline. The PMP certification is a globally recognized professional certification in project management. Simplilearn's PMP Certification Training has many features that make it the ideal course to help you prepare for the PMP certification exam. You'll receive 35 contact hours, which is a requirement for taking the PMP exam. You'll have access to digital materials from PMI, which is the governing body for PMP certification.

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✅ About PMP Certification Training Course
Simplilearn's PMP training course covers core topics essential for a project management professional. It includes topics such as emerging trends, new technologies and practices, and core competencies required from a project manager. With an emphasis on strategic and business knowledge, the course also highlights the role of a project manager.

✅Key Features
- 35 contact hours
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The PMP certification is an essential professional requirement for senior project manager roles across all industries. This course is best suited for: Project Managers, Associate/Assistant Project Managers, Team Leads/Team Managers, Project Executives/Project Engineers, Software Developers, and Any professional aspiring to be a Project Manager.

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This RPA UiPath full course will help you understand what RPA is, and the working of UiPath. UiPath is an advanced RPA tool that enables you to design automation processes visually through diagrams. If you wish to become a UiPath developer, then you're in the right place!

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The following are the topics covered in this video -
0:00 - RPA UiPath Full course
0:02:12 - What is RPA?
0:08:43 - Top 10 Reasons to learn RPA
00:15:45 - RPA Examples
00:26:25 - Blueprism vs UiPath vs Automation Anywhere
00:36:46 - What is UiPath?
00:59:36 - UiPath Installation
1:04:37 - UiPath Tutorial
1:38:29 - What is UiPath Orchestrator
2:01:30 - What is a Framework and its purpose?
2:19:55 - What is Web Automation?
2:43:07 - What is Excel Automation?
2:56:48 - Who is an RPA developer?
3:03:48 - UiPath Interview Questions

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What is UiPath?
UiPath is an advanced RPA tool that enables you to design automation processes visually through diagrams. UiPath provides complete end-to-end automation, calling it “hyper-automation.”

About Simplilearn Robotic Process Automation (RPA) course:
If you want to expand your expertise in advanced intelligent applications, then this Introduction to Robotic Process Automation (RPA) course will put you on the fast track. RPA is one of the hottest and fastest-growing technologies for improving real-time business operations and processes. This course will give you an overview of RPA concepts, the value-add it brings with relevant business use cases and tools understanding.

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Robotic Process Automation (RPA) is a technology that automates huge quantities of redundant tasks by applying artificial intelligence (AI). RPA can be used for processing transactions, manipulating data, triggering responses, and communicating with other digital systems. RPA has applications in a plethora of industries including insurance claims processing, invoice processing, customer feedback analysis, onboarding of employees, HR operations, and much more. More on the RPA market:
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The primary objective of this Introduction to RPA training course is to give you a glimpse into the bright and exciting future of Robotic Process Automation and to give you an overview of the fundamental methodologies and tools that will help you employ RPA on the job. You’ll learn the key RPA tools and workflows used in intelligent automation, steps for implementing RPA in your enterprise, and case studies that will provide innovative best practices.

Upon successful completion of our Introduction to Robotics Process Automation online training course, you will gain a fair understanding of RPA and related business applications. By the end of the course, you will be able to understand-
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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his discussion on factor analysis and expectation-maximization steps, and continues on to discuss principal component analysis (PCA).

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

How to Summarize a Book or a PDF file with GPT-3 and Python

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In today's video, we're going to be showing you how to use GPT-3 to easily summarize a book or paper in PDF form.

Let's face it, sometimes we don't have the time to read a 200 page, 73,000 word document from start to finish. But with GPT-3, you can quickly and easily extract the most important information and summarize it into just 230 words.

This can be a great way to create a step by step guide, research notes, blog posts, or even mid-journey prompts.

In this video, we'll be using the book "Deep Work" by Cal Newport as an example. This book is 190 pages and 73,000 words, so it can be a daunting task to get through it all.

But with the help of GPT-3 and a Python script with the OpenAI API, we'll show you how to automate the process and make summarizing a breeze.
So if you're ready to learn how to use GPT-3 to summarize a book, let's get started!

00:00 Intro Summarize a book or pdf with GPT-3
00:17 Summarizing with GPT-3 and Python Script
04:21 Deep Work Summary with Midjourney V4

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In this video I am going to show you how to tailor (train) the OpenAI Davinci model responses for your chatbot using JavaScript.

00:00 Intro
00:07 Preparing the Data
01:11 Installing OpenAI
02:35 Getting the API Key
02:51 Uploading the data to OpenAI
05:00 Creating a Fine Tune Job
06:16 Checking the progress of the Fine Tune Job
09:20 Get list of Fine Tune Models
10:30 Testing the model
12:00 Cancel a Fine Tune Job
12:41 Delete a Fine Tune Model
13:03 Outro

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This AWS Bootcamp 2023 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 redshift, 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 Solutions Architect Training 2023 video is suitable for those individuals who aspire to become AWS Certified Solution Architects. However, let move ahead and understand what AWS actually is and what are the services that AWS provides to an organization.

AWS Bootcamp Content:
00:00:00 AWS Bootcamp 2023
00:03:57 AWS in 5 Minutes
00:08:49 What is AWS?
00:40:30 Cloud Computing Services
00:00:00 AWS EC2
00:59:03 AWS S3
02:16:32 AWS IAM
00:00:00 AWS Cloud Formation
03:17:45 AWs ECS
03:54:56 AWS Route 53
04:21:05 AWS Beanstalk
05:44:45 AWS Sagemaker
06:09:40 AWS Cloud Front
06:24:15 AWS Autoscaling
06:42:11 AWS Redshift
07:04:00 AWS vs Azure
07:11:48 AWS vs GCP
07:19:43 AWS vs Azure vs GCP
07:32:23 Kubernetes on AWS
08:11:23 How to become Solution Architect
08:20:25 How to become a Cloud Practitioner
08:46:27 Top 10 Resons to choose AWS
08:55:35 AWS Interview Questions

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This Data Engineer Full Course video explains What Is Big Data, How to become a Data Engineer, skills required for Data engineering jobs, Big Data applications, introduction to Hadoop, Hadoop ecosystem, Spark, and top Hadoop interview questions. So, let's get started with this Data Tutorial For Beginners!

Below are the topics covered in this video
00:00:00 Data Engineer Crash Course
00:03:44 What is Big Data?
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00:10:17 Data Engineer Roadmap
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00:29:03 Top skills for Data Engineer
00:35:03 Reasons to become data engineer
00:41:32 Hadoop Ecosystem
00:58:12 Spark

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Finally understand pointers in C in this course for absolute beginners. Pointers are variables that store the memory address of another variable. They "point" to the location of data in memory. With a bunch of examples, this course demystifies pointers and their various uses, covering topics such as passing by reference vs. value, void pointers, arrays, and more.

✏️ Course created by @onaecO

⭐️ Contents ⭐️
(0:00:00) Introduction
(0:00:39) What is a computer eli5 CPU, RAM, bytes
(0:08:04) Data Types
(0:13:31) Intro to processes
(0:16:44) process memory layout
(0:19:17) Variables in memory
(0:23:01) Naive change_value program
(0:28:05) Change_value with pointers
(0:33:03) The classic swap
(0:34:05) Why declaration and dereference have the same syntax for pointers?
(0:38:39) Advantages of passing by reference va passing by value
(0:45:26) Why do pointers to different data types have the same size?
(0:47:49) Given that pointers have all the same size, why do we need a pointer type?
(0:58:16) void pointers are confusing
(1:00:14) why malloc is handy and more on void*
(1:09:09) Are arrays just pointers?
(1:25:00) Array Decay into a pointer
(1:32:59) why array decay is useful?
(1:37:49) arr[5] == 5[arr]
(1:39:04) pointers to pointers: **argv
(1:47:11) *argv[] or **argv?
(1:52:41) pointer to functions
(1:59:02) use case with pointers to functions

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