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Data analysts extract insights from vast information using stats and programming, guiding decisions, fueling innovation, and shaping industries. They bridge raw data to transformative outcomes, shaping the business landscape. Join this career to decode complexity, predict trends, and drive innovation. If data's enigmatic tapestry intrigues you, embark on a journey of constant learning.
00:00 Data Analytics Full Course 2023
02:00 What is Data Analytics
13:25 Data analytics applications
01:00:52 Python For Data Analytics
02:12:30 Data Manipulation in R
2:52:13 ggplot in R
4:24:00 Data analytics in Excel.
06:21:40 Data Analytics Projects
09:58:00 Data Analytics Interview Questions
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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.
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- Data Analytics Bootcamp Certificate from Caltech CTME
- Caltech CTME Circle Membership
- Online Convocation by Caltech CTME Program Director
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✅ 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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This Edureka video on 'Excel Tutorial' will help you learn all the basics of MS Excel. Here are all the topics discussed in this Excel Basics for Beginners video:
00:00:00 Introduction
00:00:24 Agenda
00:01:00 What is Excel
00:02:12 Excel SCreen Option
00:07:16 Backstage View
00:08:14 Workbooks & Worksheets
00:08:53 Editing Worksheets
00:19:34 Formatting MS Excel Worksheets
00:30:57 Formulas
00:33:08 Functions
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This Machine Learning tutorial will help you understand why Machine Learning came into the picture, what is Machine Learning, and the types of Machine Learning., Machine Learning algorithms with a detailed explanation on linear regression, decision tree & support vector machine, and at the end you will also see a use case implementation where we classify whether a recipe is of a cupcake or muffin using SVM algorithm.
Dataset Link - https://drive.google.com/drive..../folders/1W7kaFk2vUk
Machine Learning Tutorial Part - 2: https://www.youtube.com/watch?v=_Wkx_447zBM
00:00 - 00:45 Why Machine Learning?
00:45 - 04:52 What is Machine Learning?
04:52 - 11:34 Types of Machine Learning
11:34 - 16:41 Machine Learning Algorithms
16:41 - 25:43 Linear Regression
25:43 - 34:00 Decision Trees
34:00 - 36:02 Support Vector Machine
36:02 - 01:02:40 Use case: Classify whether a recipe is of a cupcake or a muffin using SVM
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#MachineLearning #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn
What is Machine Learning?
Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs learn, grow, change, and develop by themselves.
➡️ 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.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At:
Learn more at: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Machine-Learning-Tutorial-DWsJc1xnOZo&utm_medium=Tutorials&utm_source=youtube
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Lightbulbs might be the best idea ever – just not for light. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.
A huge thanks to David Lovett for showing me his awesome relay and vacuum tube based computers. Check out his YouTube channel @UsagiElectric
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References:
Herring, C., & Nichols, M. H. (1949). Thermionic emission. Reviews of modern physics, 21(2), 185. – https://ve42.co/Herring1949
Goldstine, H. H., & Goldstine, A. (1946). The electronic numerical integrator and computer (eniac). Mathematical Tables and Other Aids to Computation, 2(15), 97-110. – https://ve42.co/ENIAC
Shannon, C. E. (1938). A symbolic analysis of relay and switching circuits. Electrical Engineering, 57(12), 713-723. – https://ve42.co/Shannon38
Boole, G. (1847). The mathematical analysis of logic. Philosophical Library. – https://ve42.co/Boole1847
The world’s first general purpose computer turns 75 – https://ve42.co/ENIAC2
Dylla, H. F., & Corneliussen, S. T. (2005). John Ambrose Fleming and the beginning of electronics. Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films, 23(4), 1244-1251. – https://ve42.co/Dylla2005
Stibitz, G. R. (1980). Early computers. In A History of Computing in the Twentieth Century (pp. 479-483). Academic Press.
ENIAC’s Hydrogen Bomb Calculations – https://ve42.co/ENIAC3
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Written by Petr Lebedev, Derek Muller and Kovi Rose
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In this What Are Transformers In Artificial Intelligence tutorial, we'll delve into the world of Transformers in AI. We'll unravel the intricate workings of these powerful models, from their foundational architecture to their applications in natural language processing, computer vision, and beyond. By the end, you'll grasp not only how Transformers operate but also why they've become a cornerstone in modern AI research and development. So, buckle up as we embark on this enlightening exploration through the realm of Transformers in AI.
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➡️ 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.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=18Mar2024WhatAreTransformersInAI&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
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In our modern world, having information is really important. Whether it's businesses making smart choices or researchers finding valuable information, using the huge amount of data out there is a big deal. But, dealing with all that data can be super hard because it's so big and complicated. That's where Tableau comes in – it's a super cool tool that helps us see and understand data in a whole new way. In this Tableau Full Course, we're going to Learn Tableau how Tableau works and how it can help us work with data better.
Throughout this Tableau Training for Beginners, we'll explore What Is Tableau, Tableau Features, Tableau Product Offerings, and Tableau Installation and Loading Dataset. Then we will learn about Dataset Exploration, What Is Data Visualization, and Why Tableau Is Better than other vendors we will also Discover Tableau's Interactive Dashboard and Features, Data Types In Tableau, Creating Charts and dashboards with Tableau Desktop and Different File Types in Tableau. After this, we will talk about Modes for Connecting Data With Tableau, Relationship, and database Join. Data Blend in Tableau, Different Tableau filters and Their Types, and QlikView vs. Tableau. Finally, we will go through the Most Commonly Asked Tableau Interview Questions. No matter if you really like working with data and want to get better at it or if you're a professional looking for a helpful tool in the world of data. Together, we'll find out how Tableau can change the way you work with data, making it easier to make smart decisions and create interesting stories using pictures and charts.
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🔵 In this Tableau Full Course, we will cover the following topics:
00:00:00 - Introduction
00:02:26 - What Is Tableau?
00:03:18 - Tableau Features
00:12:54 - Tableau Product Offerings
00:16:41 - Tableau Installation and Loading Dataset
00:20:18 - What Is Data Visualization?
00:35:52 - Why Tableau Is Better than Other Vendors
01:10:04 - Discovering Tableau's Interactive Dashboard and Features
01:23:26 - Data Types In Tableau
01:36:17 - Creating Charts & Dashboards with Tableau Desktop
05:03:54 - Modes for Connecting Data With Tableau
06:51:27 - Relationship, Cross Database Join. Data Blend in Tableau
10:17:48 - Different Tableau Filters and Their Types
10:45:44 - Most Commonly Asked Tableau Interview Questions
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Intellipaat is a global online professional training provider. We offer some of the most updated, industry-designed certification training programs, including courses in Big Data, Data Science, Artificial Intelligence, and 150 other top-trending technologies.
We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications. We also assist corporate clients in upskilling their workforce and keeping them in sync with the changing technology and digital landscape.
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🔵 Want to learn Cloud Computing from scratch - https://youtu.be/a5KmkeQ714k
In this GCP Course video you will learn the following topics, Introduction to Google Cloud Platform along with a wide range of topics such as why use Google Cloud Platform, What is Cloud Computing, How to create an instance in GCP, Virtual Private Network in GCP, Identity Access Management, Machine Learning in GCP, Cloud Vision API, GCP Interview Questions and Answers to make your interview ready.
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🔵 Following topics are covered in this session:
00:00 - Google Cloud Platform
1:07 - What is Cloud
14:57 - What is Google Cloud Platform
21:49 - GCP Product & Services
32:52 - Activation Google Cloud Platform Free Tier
1:04:18 - VPC ( Virtual Private Network)
1:17:00 - Bastion Host
1:18:56 - VPC Key Concepts
2:25:22 - Connect On-Premise / Other Cloud to GCP
2:28:26 - Typical VPN Setup
2:33:32 - Comparison
2:37:33 - Cloud Load Balancer
2:49:32 - Predefined Machine Types
2:55:58 - VM Class
3:48:24 - App Engine Standard Environment Runtime
4:12:18 - Cloud IAM
5:08:08 - Resource Hierarchy
5:16:29 - Policy Inheritance is Transitive
5:46:38 - Artificial Intelligence
6:14:46 - Developer & Management Tools
7:01:33 - Google Cloud Interview Questions
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00:00:29 What is NLP?
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In this video on Large Language Models Explainedwe will go through the basic understanding of what is large language model(LLM) in machine learning. In this machine learning video, we will cover topics like what is LLM, how large language model works, applications of large language models, and many more.
Below are the topics covered in this video:-
00:00 Large Language Models Explained
02:50 What are Large Language Models?
04:03 What are Large Language models used for?
04:27 How LLM trained
07:12 Applications of Large Language Models
🔵What are the large language models?
Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), are advanced artificial intelligence systems designed to understand and generate human-like text. These models are built using deep learning techniques and have been trained on vast amounts of text data from the internet.
🔵What are large language models used for?
Large language models are utilized in scenarios where there is limited or no domain-specific data available for training. These scenarios include both few-shot and zero-shot learning approaches, which rely on the model's strong inductive bias and its capability to derive meaningful representations from a small amount of data or even no data at all.
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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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- Post Graduate Program certificate and Alumni Association membership
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- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
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This "AWS interview questions" video will walk you through some of the most common AWS interview questions. Cloud computing is quickly becoming the norm for businesses looking for greater flexibility, increased efficiencies, lower costs, and improved disaster recovery. This video is for you if you're preparing for an AWS Solution Architect job interview. Here are some of the most frequently asked AWS interview questions and answers to help you prepare for Amazon web services-related roles in the industry. Learn and gain a deeper understanding of these questions to help you stand out in the booming cloud industry.
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Uno de los conceptos más importantes, aunque menos comprendidos, en toda la física. Visita https://brilliant.org/veritasium para comenzar tu prueba gratuita de 30 días, ¡y las primeras 200 personas obtienen un 20% de descuento en la suscripción anual premium!
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Un agradecimiento enorme a quienes nos ayudaron a comprender diferentes aspectos sobre el tema del video: Dr. Ashmeet Singh, Supriya Krishnamurthy, Dr. Jos Thijssen, Dr. Bijoy Bera, Dr. Timon Idema, Álvaro Bermejillo Seco y Dr. Misha Titov.
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Referencias:
Carnot, S. (1824). Reflexiones sobre la fuerza motriz del calor y sobre las máquinas aptas para desarrollar esa fuerza. - https://ve42.co/Carnot1890
Aprovechando el verdadero poder de los átomos | Documentales sobre Orden y Desorden, Spark a través de YouTube - https://ve42.co/OrderDisorder
Una mejor descripción de la entropía, Steve Mould a través de YouTube - https://ve42.co/Mould2016
Dugdale, J. S. (1996). Entropía y su significado físico. CRC Press. - https://ve42.co/Dugdale1996
Schroeder, D. V. (1999). Introducción a la física térmica. - https://ve42.co/Schroeder2021
Fowler, M. Motores de calor: el ciclo de Carnot, Universidad de Virginia. - https://ve42.co/Fowler2023
Chandler, D.L. (2010). Explicado: El límite de Carnot, MIT News - https://ve42.co/Chandler2010
Entropía, Wikipedia - https://ve42.co/EntropyWiki
Clausius, R. (1867). La teoría mecánica del calor. Van Voorst. - https://ve42.co/Clausius1867
¿Qué es la entropía? TED-Ed a través de YouTube - https://ve42.co/Phillips2017
Thijssen, J. (2018) Apuntes de Física Estadística, TU Delft.
Schneider, E. D., & Kay, J. J. (1994). La vida como manifestación de la segunda ley de la termodinámica. Modelado matemático y computacional, 19(6-8), 25-48. - https://ve42.co/Schneider1994
Lineweaver, C. H., & Egan, C. A. (2008). Vida, gravedad y la segunda ley de la termodinámica. Revisiones de la física de la vida, 5(4), 225-242. - https://ve42.co/Lineweaver2008
Michaelian, K. (2012). Opiniones de la HESS "Catalización biológica del ciclo hidrológico: función termodinámica de la vida". Hidrología y Ciencias de la Tierra, 16(8), 2629-2645. - https://ve42.co/Michaelian2012
England, J. L. (2013). Física estadística de la autoreplicación. El Journal of chemical physics, 139(12), 09B623_1. - https://ve42.co/England2013
England, J. L. (2015). Adaptación disipativa en la autoorganización impulsada. Nanotecnología de la naturaleza, 10(11), 919-923. - https://ve42.co/England2015
Wolchover, N. (2014). Una nueva teoría de la física de la vida, Quantamagazine - https://ve42.co/Wolchover2014
Lineweaver, C. H. (2013). La entropía del universo y el principio de la máxima producción de entropía. En Más allá de la segunda ley: Producción de entropía y sistemas no equilibrio (pp. 415-427). Berlín, Heidelberg: Springer Berlin Heidelberg. - https://ve42.co/LineweaverEntropy
Bekenstein, J.D. (1972). Agujeros negros y la segunda ley. Lett. Nuovo Cimento 4, 737–740. - https://ve42.co/Bekenstein1972
Carroll, S.M. (2022). Las Ideas Más Grandes del Universo: Espacio, Tiempo y Movimiento. Grupo Editorial Penguin. - https://ve42.co/Carroll2022
Termodinámica de agujeros negros, Wikipedia - https://ve42.co/BlackHoleTD
Cosmología y la flecha del tiempo: Sean Carroll en TEDxCaltech, Charlas TEDx a través de YouTube - https://ve42.co/CarrollTEDx
Carroll, S. M. (2008). Los orígenes cósmicos de la flecha del tiempo. Scientific American, 298(6), 48-57. - https://ve42.co/Carroll2008
El Paso del Tiempo y el Significado de la Vida | Sean Carroll (Charla + Preguntas y Respuestas), Fundación Long Now a través de YouTube - https://ve42.co/CarrollLNF
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Escrito por Casper Mebius, Derek Muller y Petr Lebedev
Editado por Trenton Oliver y Jamie MacLeod
Animado por Mike Radjabov, Ivy Tello, Fabio Albertelli y Jakub Misiek
Filmado por Derek Muller, Albert Leung y Raquel Nuno
Video de colisiones moleculares por CSIRO's Data61 a través de YouTube: Simulación de aire
Video/fotos adicionales proporcionados por Getty Images, Pond5 y cortesía de NASA, NASA's Goddard Space Flight Center, NASA Goddard Flight Lab/ CI Lab, equipos científicos AIA, EVE, HMI y WMAP. Además, el Laboratorio de Visualización Avanzada en el Centro Nacional de Supercomputación, B. Robertson, L. Hernquist
Música de Epidemic Sound y Jonny Hyman
Producido por Derek Muller, Petr Lebedev, Emily Zhang y Casper Mebius.
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Video en Inglés del Canal @Veritasium: https://www.youtube.com/watch?v=DxL2HoqLbyA
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❓ Comentarios o sugerencias de traducción: info@unilingo.tv
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#veritasiumenespañol
A quantum computer in the next decade could crack the encryption our society relies on using Shor's Algorithm. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.
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A huge thank you to those who helped us understand this complex field and ensure we told this story accurately - Dr. Lorenz Panny, Prof. Serge Fehr, Dr. Dustin Moody, Prof. Benne de Weger, Prof. Tanja Lange, PhD candidate Jelle Vos, Gorjan Alagic, and Jack Hidary.
A huge thanks to those who helped us with the math behind Shor’s algorithm - Prof. David Elkouss, Javier Pagan Lacambra, Marc Serra Peralta, and Daniel Bedialauneta Rodriguez.
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References:
Joseph, D., et al. (2022). Transitioning organizations to post-quantum cryptography. Nature, 605(7909), 237-243. - https://ve42.co/Joseph2022
Bernstein, D. J., & Lange, T. (2017). Post-quantum cryptography. Nature, 549(7671), 188-194. - https://ve42.co/Bernstein2017
An Insight, An Idea with Sundar Pichai - Quantum Computing, Wold Economic Forum via YouTube - https://ve42.co/QCWEFyt
Migrating to Post-Quantum Cryptography, The White House - https://ve42.co/PQCWhiteHouse
Kotas, W. A. (2000). A brief history of cryptography. University of Tennessee - https://ve42.co/Kotas2000
Hellman, M. (1976). New directions in cryptography. IEEE transactions on Information Theory, 22(6), 644-654. - https://ve42.co/Hellman1976
Rivest, R. L., Shamir, A., & Adleman, L. (1978). A method for obtaining digital signatures and public-key cryptosystems. Communications of the ACM, 21(2), 120-126. - https://ve42.co/Rivest1978
Kak, A. (2023). Lecture 12: Public-Key Cryptography and the RSA Algorithm - https://ve42.co/Kak2023
Calderbank, M. (2007). The RSA Cryptosystem: History, Algorithm, Primes. University of Chicago. - https://ve42.co/Calderbank2007
Cryptographic Key Length Recommendation, Keylength - https://ve42.co/KeyLength
Coppersmith, D. (2002). An approximate Fourier transform useful in quantum factoring. arXiv preprint quant-ph/0201067. - https://ve42.co/Coppersmith2002
Quantum Fourier Transform, Qiskit - https://ve42.co/Qiskit
Shor, P. W. (1994, November). Algorithms for quantum computation: discrete logarithms and factoring. In Proceedings 35th annual symposium on foundations of computer science (pp. 124-134). IEEE. - https://ve42.co/Shor1994
Shor’s algorithm, Wikipedia - https://ve42.co/ShorWiki
Euler’s totient function, Wikipedia - https://ve42.co/EulerWiki
Asfaw, A. (2020). Shor’s Algorithm Lecture Series, Qiskit Summer School - https://ve42.co/ShorYT
How Quantum Computers Break Encryption, minutephysics via YouTube - https://ve42.co/PQCmpyt
Breaking RSA Encryption - an Update on the State-of-the-Art, QuintessenceLabs - https://ve42.co/QuintessenceLabs
O'Gorman, J., & Campbell, E. T. (2017). Quantum computation with realistic magic-state factories. Physical Review A, 95(3), 032338. - https://ve42.co/OGorman2017
Gidney, C., & Ekerå, M. (2021). How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits. Quantum, 5, 433. - https://ve42.co/Gidney2021
2021 Quantum Threat Timeline Report, Global Risk Institute - https://ve42.co/QuantumRisk
The IBM Quantum Development Roadmap, IBM - https://ve42.co/IBMQC
Post-Quantum Cryptography, Computer Security Resource Center (NIST) - https://ve42.co/CSRCPQC
Alagic, G., et al. (2022). Status report on the third round of the NIST post-quantum cryptography standardization process. US Department of Commerce, NIST. - https://ve42.co/Alagic2022
Thijs, L. (2015). Lattice cryptography and lattice cryptanalysis - https://ve42.co/Thijs2015
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What Is Project Management? | Introduction To Project Management | PMP Training Videos | Simplilearn
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This video on what is project management will help us understand the basics of project management. The video explains everything that project management includes beginning from What is a project and the components of project management. We will understand the project life cycle and the responsibilities in project management. Furthermore, it tells about various certifications that one may take to become a project manager and excel in the field of project management. Finally, we will learn the risks in project management and how to manage those risks. Now, let us get started and understand project management in detail.
Below topics are explained in this project management tutorial:
1. What is project management? 00:47
2. What is a project? 03:17
3. Components of project management 01:46
4. Project life cycle 05:17
5. Key focus areas in project management 12:17
6. Job Roles in project management 33:27
7. Project management certifications 38:27
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The 7 Stages of AI
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Welcome to an enlightening journey through the 7 Stages of AI, a comprehensive exploration into the world of artificial intelligence. If you've ever wondered about the stages of AI, or are interested in how the 7 stages of artificial intelligence shape our technological world, this video is your ultimate guide.
Artificial Intelligence (AI) is revolutionizing our daily lives and industries across the globe. Understanding the 7 stages of AI, from rudimentary algorithms to advanced machine learning and beyond, is vital to fully grasp this complex field. This video delves deep into each stage, providing clear explanations and real-world examples that make the concepts accessible for everyone, regardless of their background.
Throughout this video, we demystify the fascinating progression of AI, starting from the basic rule-based systems, advancing through machine learning, deep learning, and the cutting-edge concept of self-aware AI. Not only do we discuss the technical aspects of these stages, but we also explore their societal implications, making this content valuable for technologists, policy makers, and curious minds alike.
Leveraging our in-depth knowledge, we illuminate the intricate complexities of artificial intelligence's 7 stages. By the end of the video, you'll have gained a robust understanding of the stages of AI, the applications and potential of each stage, and the future trajectory of this game-changing technology.
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Welcome to AI Uncovered, your ultimate destination for exploring the fascinating world of artificial intelligence! Our channel delves deep into the latest AI trends and technology, providing insights into cutting-edge AI tools, AI news, and breakthroughs in artificial general intelligence (AGI). We simplify complex concepts, making AI explained in a way that is accessible to everyone.
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Learn how to develop Dynamic Database-Driven Web Apps with Python, Flask, and MySQL. This course is broken up into two parts. In part one, you will learn how to build and deploy a site using the Flask Python web framework. In part two, you will connect the Flask application from the first part to a cloud MySQL database and learn how to deploy a production-ready database-driven web application.
✏️ Aakash N S created this course.
🔗 Submit your project & earn a certificate: https://jovian.com/learn/web-d....evelopment-with-pyth
🔗 Check out Jovian’s YouTube channel: https://youtube.com/@jovianhq
Notes & references links:
🔗 Part 1: https://jovian.com/aakashns/we....b-development-with-p
🔗 Part 2: https://jovian.com/aakashns/da....tabase-driven-web-ap
⭐️ Contents ⭐️
Part 1
⌨️ (0:00:00) Introduction
⌨️ (0:02:07) 1.1 Project Setup & Flask Basics
⌨️ (0:22:25) 1.2 Building Web Pages using HTML
⌨️ (0:40:57) 1.3 Styling with CSS & Bootstrap
⌨️ (1:08:25) 1.4 Dynamic Data using Templates
⌨️ (1:27:22) 1.5 Deploying to the Cloud with Render
⌨️ (1:42:39) 1.6 Functional and Aesthetic Improvements
⌨️ (1:58:44) 1.7 Summary & Future Work
Part 2
⌨️ (2:04:19) Database-Driven Web Applications
⌨️ (2:07:24) 2.1 Project Setup & Deployment
⌨️ (2:21:44) 2.2 Cloud MySQL Database Setup
⌨️ (2:36:20) 2.3 DB Connection with SQLAlchemy
⌨️ (2:56:22) 2.4 Display DB Data on Web Page
⌨️ (3:20:04) 2.5 Dynamic Database-Driven Pages
⌨️ (3:49:23) 2.6 HTML Form for Applications
⌨️ (4:15:37) 2.7 Saving Applications to DB
⌨️ (4:26:23) 2.8 Summary & Future Work
⌨️ (4:37:50) Conclusion
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Google BigQuery Tutorial | Analyze Data in BigQuery |Google Cloud Platform Training | Edureka Rewind
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00:48 Agenda
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05:55 Google Big Query Architecture
11:26 Overview of Google Big Query Storage
16:31 Ingestion Data into Google Big Query
20:33 Pricing
26:22 Hands-On
37:15 Use cases
38:46 Case study
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