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국소적으로 낮은 엔트로피 수준을 가진 시스템에 저장되었다가 높은 엔트로피 수준으로 퍼져간다는 표현이 좀 더 정확할 테지만 이해를 위해 쉽게 풀었습니다.
One of the most important, yet least understood, concepts in all of physics. 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.
If you're looking for a molecular modeling kit, try Snatoms - a kit I invented where the atoms snap together magnetically: https://snatoms.com
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A huge thank you to those who helped us understand different aspects of this complicated topic - Dr. Ashmeet Singh, Supriya Krishnamurthy, Dr. Jos Thijssen, Dr. Bijoy Bera, Dr. Timon Idema, Álvaro Bermejillo Seco and Dr. Misha Titov.
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References:
Carnot, S. (1824). Reflections on the motive power of heat: and on machines fitted to develop that power. - https://ve42.co/Carnot1890
Harnessing The True Power Of Atoms | Order And Disorder Documentaries, Spark via YouTube - https://ve42.co/OrderDisorder
A better description of entropy, Steve Mould via YouTube - https://ve42.co/Mould2016
Dugdale, J. S. (1996). Entropy and its physical meaning. CRC Press. - https://ve42.co/Dugdale1996
Schroeder, D. V. (1999). An introduction to thermal physics. - https://ve42.co/Schroeder2021
Fowler, M. Heat Engines: the Carnot Cycle, University of Virginia. - https://ve42.co/Fowler2023
Chandler, D.L. (2010). Explained: The Carnot Limit, MIT News - https://ve42.co/Chandler2010
Entropy, Wikipedia - https://ve42.co/EntropyWiki
Clausius, R. (1867). The mechanical theory of heat. Van Voorst. - https://ve42.co/Clausius1867
What is entropy? TED-Ed via YouTube - https://ve42.co/Phillips2017
Thijssen, J. (2018) Lecture Notes Statistical Physics, TU Delft.
Schneider, E. D., & Kay, J. J. (1994). Life as a manifestation of the second law of thermodynamics. Mathematical and computer modelling, 19(6-8), 25-48. - https://ve42.co/Schneider1994
Lineweaver, C. H., & Egan, C. A. (2008). Life, gravity and the second law of thermodynamics. Physics of Life Reviews, 5(4), 225-242. - https://ve42.co/Lineweaver2008
Michaelian, K. (2012). HESS Opinions" Biological catalysis of the hydrological cycle: life's thermodynamic function". Hydrology and Earth System Sciences, 16(8), 2629-2645. - https://ve42.co/Michaelian2012
England, J. L. (2013). Statistical physics of self-replication. The Journal of chemical physics, 139(12), 09B623_1. - https://ve42.co/England2013
England, J. L. (2015). Dissipative adaptation in driven self-assembly. Nature nanotechnology, 10(11), 919-923. - https://ve42.co/England2015
Wolchover, N. (2014). A New Physics Theory of Life, Quantamagazine - https://ve42.co/Wolchover2014
Lineweaver, C. H. (2013). The entropy of the universe and the maximum entropy production principle. In Beyond the Second Law: Entropy Production and Non-equilibrium Systems (pp. 415-427). Berlin, Heidelberg: Springer Berlin Heidelberg. - https://ve42.co/LineweaverEntropy
Bekenstein, J.D. (1972). Black holes and the second law. Lett. Nuovo Cimento 4, 737–740. - https://ve42.co/Bekenstein1972
Carroll, S.M. (2022). The Biggest Ideas in the Universe: Space, Time, and Motion. Penguin Publishing Group. - https://ve42.co/Carroll2022
Black hole thermodynamics, Wikipedia - https://ve42.co/BlackHoleTD
Cosmology and the arrow of time: Sean Carroll at TEDxCaltech, TEDx Talks via YouTube - https://ve42.co/CarrollTEDx
Carroll, S. M. (2008). The cosmic origins of time’s arrow. Scientific American, 298(6), 48-57. - https://ve42.co/Carroll2008
The Passage of Time and the Meaning of Life | Sean Carroll (Talk + Q&A), Long Now Foundation via YouTube - https://ve42.co/CarrollLNF
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Written by Casper Mebius, Derek Muller & Petr Lebedev
Edited by Trenton Oliver & Jamie MacLeod
Animated by Mike Radjabov, Ivy Tello, Fabio Albertelli and Jakub Misiek
Filmed by Derek Muller, Albert Leung & Raquel Nuno
Molecular collisions video by CSIRO's Data61 via YouTube: Simulation of air
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Produced by Derek Muller, Petr Lebedev, Emily Zhang, & Casper Mebius
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Картонка и рисунок — вот и всё, что нужно, чтобы запутать такой тонкий инструмент обработки информации, как наш мозг. В новом видео Дерек расскажет об оптической иллюзии, известной как «Окно Эймса» и объяснит, как окружающая обстановка заставляет нас видеть не то, что происходит, и расскажет, что ещё влияет на визуальное восприятие. Кстати, возможно, несколько первых месяцев жизни вы видели мир немножко больше таким, какой он есть.
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Каждый, кому хотя бы раз приходилось сталкиваться с фунтами и унциями, наверняка задавался вопросом: почему США не перейдёт на метрическую систему?! Дерек Маллер пообщался на эту тему с одним из сотрудников Национального института стандартов и технологий. Оказалось, ситуация странная, и, похоже, ваше возмущение вполне уместно.
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🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Selecting The Correct Predictive Modeling Technique' covers the various deciding factors to choose the correct predictive modeling technique. Following are the topics discussed:
00:00 - Introduction
00:51 - What is Predictive Analysis?
02:58 - Predictive Analysis Techniques
06:37 - Choosing a Predictive Analysis Technique
09:03 - Predictive Analysis Models
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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. Furthermore, you will be taught of 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 the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.
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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. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
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Who should go for this Machine Learning Certification Training using Python?
Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
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🔥Edureka Data Scientist Course Master Program https://www.edureka.co/masters....-program/data-scient (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka tutorial explains the 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, Various techniques used for feature selection like filter methods, wrapper methods. Embedded methods along with practical examples in Python. Explore the feature selection statistics and advantages and disadvantages of feature selection.
We will be covering the following topics in this video:
00:00:00 - Introduction
00:00:52 - Need for Feature Selection
00:02:15 - What is Feature Selection?
00:02:51 - Importance of Feature Selection
00:03:32 - Feature Selection Statistics
00:04:52 - Various Techniques
00:05:28 - Filter Method with Hands-on
00:10:20 - Wrapper Method with Hands-on
00:14:22 - Embedded Method with Hands-on
00:17:48- Advantages of Feature Selection
00:18:27 - Disadvantages of Feature Selection
📝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
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr
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#DataScience #FeatureSelection #ArtificialIntelligence #Edureka
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 [email protected] or call us at IND: +91-9606058418 / US: 18338555775
🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.
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------------------------------------Edureka Online Training and Certification---------------------------------
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-----------------------------------------Edureka Masters Programs---------------------------------------------------
🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
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🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
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---------------------------------------Edureka Post Graduate Courses-------------------------------------------
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#Edureka #PythonEdureka #NaiveBayes #ClassificationAlgorithem #artificialIntelligenceEdureka #MachineLearningEdureka #howtolearnAIML #learnAIML #withMe
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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
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 be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - - - - -
About the Course :
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide 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 python programming language. Furthermore, you will be taught of 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 the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the 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. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
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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.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)
🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.
Topics covered in this session:
00:00:00 Introduction
00:00:25 Agenda
00:01:35 What is Machine Learning
00:13:47 Introduction to Classification
00:17:28 Classification Algorithms
00:18:30 What is Naïve Bayes
00:31:36 Mathematical Working of Naïve Bayes
00:39:24 Example
📝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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---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬---------
🔵 DevOps Engineer Masters Program: https://bit.ly/37p4goY
🌕 Cloud Architect Masters Program: https://bit.ly/35LP0SV
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🔵 Machine Learning Engineer Masters Program:https://bit.ly/3ueP9rm
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🔵 Cyber Security Masters Program: https://bit.ly/3uo98UN
🌕 Full Stack Developer Masters Program : https://bit.ly/3NUlVGb
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🌕 Python Developer Masters Program : https://bit.ly/3j8YYkg
🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax
--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr
📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?count...
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📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/
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.
🔥E&ICT Academy, NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This video on Step by step Guide to learn Machine Learning and AI will give you a detailed plan to get started with AI and ML.
🔷🔸About the Speaker🔸🔷
Name: Mr. Sharath Chandra
Details:
1. Data Scientist and Digital Transformation lead with extensive experience of 15+ years.
2. Have developed several AI model prototypes in AWS Cloud involving Amazon Connect, Amazon Lex, and Alexa integration.
3. An Alumnus of IIT Kanpur
🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
------------------------------------Edureka Online Training and Certification---------------------------------
🔵 DevOps Online Training: https://bit.ly/2BPwXf0
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🔵 AWS Online Training: https://bit.ly/2ZnbW3s
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🟣 Tableau Online Training: https://bit.ly/3g784KJ
-----------------------------------------Edureka Masters Programs---------------------------------------------------
🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf
-----------------------------------------Edureka PGP Courses---------------------------------------------------
🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
🟣CyberSecurity PGP: https://bit.ly/3eHvI0h
🔵Digital Marketing PGP: https://bit.ly/38cqdnz
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🔵Data Science PGP: https://bit.ly/3dIeYV9
🟣Cloud Computing PGP: https://bit.ly/2B9tHLP
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#edureka #artificialIntelligenceEdureka #MachineLearningEdureka #howtolearnAIML #learnAIML #withMe
----------------------------------------------
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
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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
--------------------------------------------
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 [email protected] 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!
- - - - - - - - - - - - - -
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 [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).
🔥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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🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
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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.
For more information, Please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).
🔥NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka video on Machine Learning Algorithms Explained 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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🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ
-----------------------------------------Edureka Masters Programs---------------------------------------------------
🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
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🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q
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#edureka #MachineLearningEdureka #machineLearningAlgorithms #MachinelearningTutorial #machineLearningPython #LearnMachineLearning #withMe
----------------------------------------------
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
--------------------------------------------
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
--------------------------------------------
For more information, Please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).
🔥AI Engineer Specialist: https://l.linklyhq.com/l/1yhn3
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=FeatureSelectioninMachineLearning&utm_medium=Descriptionff&utm_source=youtube
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=23AugustTubebuddyExpPCPAIandML&utm_medium=DescriptionFF&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=FeatureSelectioninMachineLearning&utm_medium=Descriptionff&utm_source=youtube
In Machine Learning, not all the data you collect is useful for analysis. In this video, you will learn about Feature Selection. You will understand the need for feature selection and what is feature selection. You will look at the various feature selection methods and get an idea about feature selection statistics. Finally, you will learn how to select features using a dataset and perform analysis in Python.
00:00:00 What's in it for you
00:00:32 Need for feature selection
00:01:53 What is Feature selection
00:02:55 Feature selection method
00:07:16 Feature selection stats
00:08:06 Demo
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#FeatureSelectionInMachineLearning #FeatureSelectionTechniquesExplained #FeatureSelectionTechniquesWithExamples #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #SimplilearnMachineLearning #MachineLearningCourse
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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…
👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=FeatureSelectioninMachineLearning&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
In this video, we dive deep into Generative AI, exploring the power of Large Language Models like ChatGPT. Discover how these advanced models generate human-like text and uncover their possibilities for various applications. Want to learn more about it? Visit our blog for an in-depth exploration of Generative AI, LLMs, and ChatGPT's capabilities! https://bit.ly/3WXuHIi
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🔥Edureka AWS Training: https://www.edureka.co/aws-certification-training
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker. These are the topics covered in the AWS Machine Learning Tutorial video:
00:00:00 Introduction
00:01:14 What is Amazon Sagemaker?
00:04:21 Create your AWS Account
00:06:46 Create your First Notebook Instance
00:17:39 Train your Model on AWS
00:24:37 Deploy your Model on AWS
00:26:33 Evaluate your Model on AWS
00:29:03 AWS SageMaker Case Study: Grammarly
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How it Works?
1. This is a 5 Week Instructor led Online Course.
2. 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!
- - - - - - - - - - - - - -
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, 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
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.
If you are looking for live online training, write back to us at [email protected] or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.