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This Edureka "AWS Config” video will help you get started with AWS Config Service and help you understand terminologies that are related to the service.

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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) :
https://www.edureka.co/microso....ft-azure-data-engine
In this video on Azure Data Engineer Certification in 2024, you will learn the basics of who is an Azure Data Engineer, what are the necessary tools or skills you need to learn and which certifications are required, what salary can you expect as an Azure Data Engineer. It will guide you how to get started on your Azure Data Engineer journey.

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⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

The most famous equation in finance, the Black-Scholes/Merton equation, came from physics. It launched an industry worth trillions of dollars and led to the world’s best investments. Go to https://www.eightsleep.com/veritasium and use the code Veritasium for $200 off your Pod Cover.

Special thanks to our Patreon supporters! Join this list to help us keep our videos free, forever:
https://ve42.co/PatreonDEB

If you’re looking for a molecular modeling kit, try Snatoms, a kit I invented where the atoms snap together magnetically - https://ve42.co/SnatomsV

▀▀▀

A huge thank you to Prof. Andrew Lo (MIT) for speaking with us and helping with the script.

We would also like to thank the following:
Prof. Amanda Turner (University of Leeds)
Owen Maher (Electrify Video Partners)

▀▀▀
References:

The Man Who Solved the Market: How Jim Simons launched the quant revolution, Gregory Zuckerman. Penguin Publishing Group. - https://ve42.co/GZuckerman

The Physics of Finance: Predicting the Unpredictable: Can Science Beat the Market? James Owen Weatherall. Short Books. - https://ve42.co/FinancePhysics

The Statistical Mechanics of Financial Markets, J.Voigt. Springer. - https://ve42.co/Springer

Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of political economy, 81(3), 637-654. - https://ve42.co/BlackScholes

Cornell, B. (2020). Medallion fund: The ultimate counterexample?. The Journal of Portfolio Management, 46(4), 156-159. - https://ve42.co/Medallion

Images & Video:
Ed Thorp on The Tim Ferris Show - https://www.youtube.com/watch?v=CNvz91Jyzbg
Jim Simons on TED - https://www.youtube.com/watch?v=U5kIdtMJGc8
Jim Simons on Numberphile - https://www.youtube.com/watch?v=QNznD9hMEh0

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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

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This Simplilearn video will acquaint you with the top 5 cybersecurity skills that will help you get into the field of cybersecurity. Today, a cyber security career is highly promising. This video will give you an insight into the most important cyber security skills and the role it plays in a cyber security professional's career.
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Cyber Security Career 00:00:00
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Operating Systems and Virtual Machine 00:03:10
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This video will be focusing on a free and open-source framework known as Streamlit and will be providing a complete guide on a Streamlit tutorial. We will also be looking at how to build a Machine Learning Application using Streamlit. let's begin your journey on streamlit with Intellipaat.

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In this video on roadmap for learning sql, we will dive into step step process of learning sql, we will start with introduction to sql moving forward our first step will be Understanding RDBMS, after that we will cover topics like, IDE for sql, Fundamental SQL Commands, SQL Keywords, SQL Data Types, Types of SQL Operators, SQL Data Constraints(Keys), SQL Normalization, and at the end we will conclude this video by understamding some Advanced SQL Concepts( joins, subqueries).

Below are the topics covered in this complete SQL Roadmap 2024 video : -

00:22 Introduction To SQL
02:49 Start by Understanding RDBMS
03:49 Pick an IDE
04:39 Fundamental SQL Commands
05:48 SQL Keywords
06:51 SQL Data Types
07:27 Types of SQL Operators
08:04 SQL Data Constraints(Keys)
08:49 SQL Normalization
09:21 Advanced SQL Concepts( joins, subqueries)


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This SQL certification course gives you all of the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn how to correctly structure your database, author efficient SQL statements and clauses, and manage your SQL database for scalable growth.

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🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Statistics For Machine Learning' is the second class in the Python Machine Learning Series which gives a brief introduction to Statistics and Probability for Machine learning.

🟠 𝐂𝐥𝐚𝐬𝐬 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 🟠

[𝗦𝗮𝘁𝘂𝗿𝗱𝗮𝘆 - 𝟭𝟱𝘁𝗵 𝗔𝘂𝗴𝘂𝘀𝘁]
Class 1 - Introduction To Machine Learning
Class 2 - Statistics For Machine Learning
Class 3 - Data Exploration 1 - ETL
Class 4 - Data Exploration 2 - Visualization
Class 5 - Data Exploration 3 - Data Cleaning
[𝐒𝐮𝐧𝐝𝐚𝐲 - 𝟏𝟔𝐭𝐡 𝐀𝐮𝐠𝐮𝐬𝐭]
Class 6 - Data Modeling 1 - Feature Engineering
Class 7 - Data Modeling 2 - Training The Model
Class 8 - Data Modeling 3 - Model Evaluation
Class 9 - Machine Learning Example
Class 10 - Advanced Machine Learning

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--------------------------
How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language and many more.
--------------------------
Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms.
--------------------------
Who should go for this Machine Learning Certification Training using Python?
- Developers aspiring to be a ‘Machine Learning Engineer'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- 'Python' professionals who want to design automatic predictive models
--------------------------
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🔥E&ICT Academy, NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka Video on Logistic Regression in Python will give you a basic understanding of the Logistic Regression Machine Learning Algorithm with examples. In this video, you will also get to see a demo on Logistic Regression using Python.

🔸🔹🔶🔹𝐀𝐛𝐨𝐮𝐭 𝐓𝐡𝐞 𝐒𝐩𝐞𝐚𝐤𝐞𝐫🔹🔶🔹🔸
Name: Mr. Anuj Batta
Details:
1. Founder of Quanolytics, helping companies and institutions become data-driven by giving voice to the data.
2. Business analytics and data science leader/ expert with over 17 years of corporate experience and over 6 years of training & teaching experience (online and classroom) in IT, strategy, operations, and Data Science & Analytics.
3. Managed, setup, and driven multiple full time and part-time profitable programs for b-schools and universities in India including international collaboration.
4. Courses Taught-Data Science using Python at National Institute of Financial Management (NIFM), Faridabad Data Science using Python, Advanced Excel, Advanced Analytics using R, Business Analytics and Machine Learning at International Management Institute (IMI), Delhi, etc.
5. EX-Associate General Manager (AGM) - Analytics at HCL, EX-Manager at Adobe Systems India.
6. An Alumnus of IIM Calcutta.


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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.

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

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

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

Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

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

Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction

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

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.

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This video on the Artificial Intelligence full course video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.

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What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

➡️ 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.

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- Post Graduate Program certificate and Alumni Association membership
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✅ Skills Covered
- ChatGPT
- Generative AI
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- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

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🔥Edureka Tensorflow Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models


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00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models

#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining

---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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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!

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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.

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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.

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For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

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Welcome to Simplilearn's Introduction to Prompt Engineering video! In this video, we'll take a few minutes to explain what prompt engineering is and why it's becoming a game-changer in the world of AI. From understanding the basics of prompt engineering to exploring some of the most common use cases, we'll cover everything you need to know to get started with this exciting topic. So, let's dive in and explore the world of prompt engineering together!

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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.

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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
00:00 Introduction
00:18 Agenda
02:35 Introduction to NLP
04:08 Ways to process Text Data
05:55 Recurrent Nuetral Networks
16:06 Long Short-term Memory
17:17 LSTM Use Cases
18:15 Name Entity Recognition
20:55 Sentiment Analysis
22:50 Machine Translation
24:19 Hands-on
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, in this Machine Learning with Python Training, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.

What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous.