La gente ha sido testigo de las supernovas desde hace milenios, pero ¿qué tipo de amenaza posan para el planeta Tierra? Este video es patrocinado por Brilliant. Puedes comenzar gratis, o las primeras 200 personas en suscribirse vía https://brilliant.org/veritasium obtendrán un 20% de descuento.

Agradecemos enormemente al Prof. Hans-Thomas Janka por ayudarnos con la física de una supernova y GRBs. También al Prof. Brian Thomas por toda su ayuda con los efectos terrestres de las supernovas y GRBs. Este video no hubiera sido posible sin ninguno de ellos. Además al Dr. Luke Barnes por su ayuda inicial en la investigación de la literatura relacionada.

El dato sobre la bomba de hidrogeno vs la supernova fue sacado de este gran artículo por xkcd/Randall Munroe - https://what-if.xkcd.com/73/ (based on the calculation by Andrew Karam, 2002)

El video de la burbúja cósmica de: https://www.cfa.harvard.edu/ne....ws/1000-light-year-w

Referencias: Melott, A. et al. (2019). Hypothesis: Muon radiation dose and marine megafaunal extinction at the End-Pliocene supernova. Astrobiology, 19(6), 825-830. – https://ve42.co/Melott1

Thomas, B. C. et al. (2016). Terrestrial effects of nearby supernovae in the early Pleistocene. The Astrophysical Journal Letters, 826(1), L3 – https://ve42.co/Thomas1

Melott, A. L., & Thomas, B. C. (2019). From cosmic explosions to terrestrial fires?. The Journal of Geology, 127(4), 475-481. – https://ve42.co/Melott2

Fields, B. et al. (2019). Near-Earth supernova explosions: Evidence, implications, and opportunities. arXiv preprint arXiv:1903.04589. – https://ve42.co/Fields1

Thomas, B. C., Atri, D., & Melott, A. L. (2021). Gamma-ray bursts: not so much deadlier than we thought. Monthly Notices of the Royal Astronomical Society, 500(2), 1970-1973. – https://ve42.co/Thomas2

Melott, A. et al. (2004). Did a gamma-ray burst initiate the late Ordovician mass extinction?. International Journal of Astrobiology, 3(1), 55-61. – https://ve42.co/Melott3

Firestone, R. B. (2014). Observation of 23 supernovae that exploded less than 300 pc from Earth during the past 300 kyr. The Astrophysical Journal, 789(1), 29. – https://ve42.co/firestone1

Janka, H. T. (2017). Neutrino emission from supernovae. arXiv preprint arXiv:1702.08713. – https://ve42.co/Janka1

Janka, H. T., & Hillebrandt, W. (1989). Neutrino emission from type II supernovae-an analysis of the spectra. Astronomy and astrophysics, 224, 49-56. – https://ve42.co/Janka2

Janka, H. T. (2017). Neutrino-driven explosions. arXiv preprint arXiv:1702.08825. – https://ve42.co/Janka3

Karam, P. A. (2002). Gamma and neutrino radiation dose from gamma ray bursts and nearby supernovae. Health physics, 82(4), 491-499. – https://ve42.co/Karam1

Melott, A. L., Thomas, et al.. (2017). A supernova at 50 pc: effects on the Earth's atmosphere and biota. The Astrophysical Journal, 840(2), 105. – https://ve42.co/Melott4

Ludwig, P., et al. (2016). Time-resolved 2-million-year-old supernova activity discovered in Earth’s microfossil record. Proceedings of the National Academy of Sciences, 113(33), 9232-9237. – https://ve42.co/Ludwig1

Gritschneder, et al. (2011). The supernova triggered formation and enrichment of our solar system. The Astrophysical Journal, 745(1), 22. – https://ve42.co/Gritschneder1

Motizuki, Y., Takahashi, et al. (2009). An Antarctic ice core recording both supernovae and solar cycles. arXiv preprint arXiv:0902.3446. – https://ve42.co/Motizuki

Zucker, C. et al. (2022). Star formation near the Sun is driven by expansion of the Local Bubble. Nature, 601(7893), 334-337. – https://ve42.co/Zucker1

Hirata, K. et al.(1987). Observation of a neutrino burst from the supernova SN1987A. – https://ve42.co/Hirata1

Hayes, L. A., & Gallagher, P. T. (2022). A Significant Sudden Ionospheric Disturbance Associated with Gamma-Ray Burst GRB 221009A. Research Notes of the AAS, 6(10), 222.

Video original en: https://www.youtube.com/watch?v=evUfG3lrk5U
Agradecimiento especial a nuestros mecenas en Patreon:
James Sanger, Louis Lebbos, Elliot Miller, Brian Busbee, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin, Jr., OnlineBookClub.org, Matthew Gonzalez, Eric Sexton, John Kiehl, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Mike Schneider, John Bauer, jim buckmaster, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi

Escrito por Petr Lebedev & Derek Muller
Editado por Fabio Albertelli
Animado por Fabio Albertelli, Jakub Misiek, Alex Drakoulis, Ivy Tello, Mike Radjabov, and Charlie Davies
Filmado por Derek Muller
Investigación adicional por Kovi Rose & Katie Barnshaw
Videos/fotos provistos por NASA, ESA, Pond5, and Getty Images
Producido por Derek Muller, Petr Lebedev, and Emily Zhang

🔵 In this live session on the SQL course, firstly we will introduce you to what is a database, DBMS and later on, we will teach you SQL from scratch to an advanced level along with hands-on demo and interview questions. This video is must watch for everyone who wishes to learn SQL and make a career in it.

00:00 - SQL Full Course
01:07 - Introduction to Database
07:56 - Introduction to DBMS
09:58 - Introduction to SQL
15:37 - Applications of SQL
18:40 - Basics: SQL Tables
20:40 - SQL Tables: Datatypes
23:07 - Installation of SQL Server
27:36 - Create, use and Drop Database in SQL
29:52 - constraints in SQL
31:46 - Creating a table in SQL
35:03 - Insert Query Syntax in SQL
38:41 - Select Statement Syntax in SQL
41:51 - Select Distinct Syntax in SQL
46:06 - Operators in SQL
57:28 - Functions in SQL
01:06:59 - Clauses in SQL
01:17:03 - Statements in SQL
01:23:20 - Joins in SQL
01:43:53 - Union Operator in SQL
01:46:37 - Except Operator in SQL
01:48:20 - Intersect Operator in SQL
01:50:15 - Views in SQL
01:52:56 - How to Alter Table in SQL
01:55:42 - Merge statement in SQL
02:01:22 - Types of user-defined Functions
02:07:50 - Temporary table
02:10:40 - Case Statement in SQL
02:15:45 - IIF() Function in SQL
02:19:26 - Stored Procedure in SQL
02:24:39 - Exception Handling in SQL
02:34:02 - Data Base Administrator
02:35:44 - Types of DBA
02:37:35 - Intro to MS SQL Server
02:38:04 - Evolution of SQL Server
02:41:12 - Editions of SQL Server
02:43:26 - Installing MS SQL Server
02:43:47 - SQL Server System Databases
02:44:14 - Master Database
02:46:08 - Restoring "AdventureWorks" Database through GUI
02:48:14 - Recovery Models
02:51:14 - Planning a Backup Strategy
02:54:52 - Backup models in SSMS
02:55:48 - Point in Time Recovery
02:57:04 - Importing Data
03:02:38 - SQL Server OS Related DMV's
03:05:02 - Activity Monitor
03:05:32 - Starting Activity Monitor
03:07:59 - System Monitor/ Performance Monitor
03:10:56 - Working with SQL Server Profiler
03:12:36 - Ensuring Data Integrity
03:13:44 - Index in SQL
03:17:03 - Fragmentation
03:20:41 - CRUD Operations: SQL Queries
03:32:51 - What is SQL Injection with Hands-on?
03:55:34 - How to become an SQL Developer
04:04:32 - SQL Demo
04:22:14 - SQL vs MySQL
04:26:56 - Skills to become SQL Developer
04:29:22 - Career Path: SQL Developer
04:36:22 - SQL Interview Questions & Answers

🔵 Intellipaat SQL course: https://intellipaat.com/micros....oft-sql-server-certi

#SQLCourse #SQLTraining #SQLTutorialForBeginners #LearnSQL #SQL #StructuredQueryLanguage #Intellipaat

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🔵 Interested to learn SQL still more? Please check similar SQL blogs here:- https://goo.gl/d3a6H2

Are you looking for something more? Enroll in our MS SQL Server course and become a certified SQL professional (https://intellipaat.com/micros....oft-sql-server-certi). It is a 16 hrs training where you can learn SQL through instructor-led training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this SQL Training, Like us and Subscribe to our channel for more similar informative SQL course tutorials.
Got any questions about SQL Tutorial For Beginners video? Ask us in the comment section below.
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1. 24*7 Lifetime Access & Support
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6. Lifetime free Course Upgrade
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🔵 Why should you opt for a SQL career?

SQL optimization has always been a popular topic in database management. SQL Database optimization can be an extremely difficult task, in particular for large-scale data wherever a minute variation can result or impact drastically on the performance. So learning this skill will definitely help you grab the best jobs in top MNCs after finishing Intellipaat SQL online training. The entire Intellipaat SQL course is in line with the industry needs. There is a huge demand for SQL certified professionals. The salaries for SQL professionals are very good. Hence this Intellipaat SQL database tutorial for beginners is your stepping stone to a successful career!
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Day - 1 | Introduction to Generative AI

The moment we've all been eagerly waiting for is finally here! Today marks the commencement of our much-anticipated course on GENERATIVE AI. 🎉

We'll be diving into fascinating topics like LLM, LlamaIndex, Vector DB, and much more. It's your chance to embark on a comprehensive exploration of cutting-edge concepts.

For course details please visit : https://ineuron.ai/course/gene....rative-ai-community-

Connect with us on : +91 8071176111

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐌𝐏® 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/pmp-cer....tification-exam-trai (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on Project Management Fundamentals will give you the list of terms used mostly by the Project Managers along with other fundamental concepts in Project Management. Below are the topics covered in this tutorial:
0:00 Introduction
0:21 Topics For Today's Discussion
0:54 What is a Project?
3:39 Project Attributes
8:02 Project Lifecycle
14:19 Project vs Program vs Portfolio
16:43 Need for Project Management
20:18 Project Management Terminologies
35:02 Project Management Phases
37:06 Knowledge Areas
39:35 Project Management Processes
📝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---------

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🔵 Machine Learning Engineer Masters Program:https://bit.ly/3ueP9rm
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🔵 Python Developer Masters Program:https://bit.ly/3j8YYkg
🌕 RPA Developer Masters Program: https://bit.ly/3JgqQ0g
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🌕 Full Stack Developer Masters Program : https://bit.ly/3NUlVGb
🔵 Automation Testing Engineer Masters Program : https://bit.ly/3E0rFcZ
🌕 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
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

About Course :
Online PMP® exam prep course is designed to help aspiring professionals earn PMP® certification in the first attempt. The goal of this course is to empower the current and future Project Managers to manage the project more efficiently and effectively throughout the Project Management Life Cycle.

This course is taught by PMP® Certified Trainers, who have years of experience in training. These instructors have been practicing Project and Program Management with some of the top organizations across industries. They leverage their rich, hands-on industry experience to help participants understand the practical application of all the 10 knowledge areas covered in ‘The PMBOK® Guide’ (A Guide to the Project Management Body of Knowledge) – Sixth Edition.

Who should go for this course?

PMP® Certification is useful for anyone who has Project Management experience and desires a globally recognized credential that will lead to professional career growth and recognition.

Why learn PMP® Certification?

Project Management Professional (PMP)® is a global credential offered by PMI Inc. PMP® Certification is a globally recognized, rigorous, education and/or professional experience, and examination-based credential program. .

***** Python Certification Training for Data Science: https://www.edureka.co/data-sc....ience-python-certifi *****
This Edureka video on "Machine Learning Tutorial" will help you get started with all the Machine Learning concepts. Below are the topics covered in this video:

1. Why Machine Learning?
2. What is Machine Learning?
3. Types of Machine Learning
4. What can you do with Machine Learning?
5. Machine Learning Demo in Python

Subscribe to our channel to get video updates. Hit the subscribe button above.

Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-gr....aduate/machine-learn

Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-gr....aduate/data-science-
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

#DataScience #MachineLearningTutorial #MachineLearningAlgorithm

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

About the Course

Edureka's Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.

Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.

Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.

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

Course Objectives

After completing this Data Science Certification training, you will be able to:

1. Programmatically download and analyze data
2. Learn techniques to deal with different types of data – ordinal, categorical, encoding
3. Learn data visualization
4. Using I python notebooks, master the art of presenting step by step data analysis
5. Gain insight into the 'Roles' played by a Machine Learning Engineer
6. Describe Machine Learning
7. Work with real-time data
8. Learn tools and techniques for predictive modeling
9. Discuss Machine Learning algorithms and their implementation
10. Validate Machine Learning algorithms
11. Explain Time Series and its related concepts
12. Perform Text Mining and Sentimental analysis
13. Gain expertise to handle business in future, living the present

- - - - - - - - - - - - - - - - - - -
Why learn Python for Data Science?


It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.

It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.

It has evolved as the most preferred Language for Data Analytics and the increasing search trends on Python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain.

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

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** Machine Learning Training with Python: https://www.edureka.co/data-sc....ience-python-certifi **
This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.
Topics covered in this session:
00:00 Introduction
00:33 Google Maps
02:01 Facebook
03:38 UberEats
05:15 Amazon
06:16 iPhone
07:52 Tesla
09:49 Netflix
10:32 Moley
11:43 Google Translate
12:43 Kuka

Check out our playlist for more videos: http://bit.ly/2taym8X

Subscribe to our channel to get video updates. Hit the subscribe button above.
#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining

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 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.

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 future, living the present

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Why learn Machine Learning with Python?

Data Science is a set of techniques that enable 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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This Edureka session on "Scikit-learn Tutorial" will introduce you to machine learning in Python. It will also take you through regression and clustering techniques along with a demo on SVM classification on the famous iris dataset.
Topics covered in this video are:
00:00:00 Introduction
00:03:00 Machine Learning Overview
00:09:31 Introduction to Scikit-learn
00:16:48 Installation of Scikit-learn
00:17:10 Regression & Classification
00:18:00 SVM &KNN
00:20:00 Hands-on
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

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About Course :

About the Natural Language Processing with Python course
Edureka's Natural Language Processing Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. This NLP course has been packed up with a lot of real-life examples, where you can apply the learned content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics, and Machine Learning have been discussed as a part of this NLP training. This NLP course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of this NLP Certification course, we will be discussing various practical use cases of NLP in the python programming language to enhance your learning experience.

What are the prerequisites for this NLP Course?
The prerequisites for this Natural Language Processing course is Python programming and a good understanding of Machine Learning concepts.

As a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on Python to brush up on your Python Skills.

Learn more about watsonx: https://ibm.biz/BdvxDS

What is really the difference between Artificial intelligence (AI) and machine learning (ML)? Are they actually the same thing? In this video, Jeff Crume explains the differences and relationship between AI & ML, as well as how related topics like Deep Learning (DL) and other types and properties of each.

#ai #ml #dl #artificialintelligence #machinelearning #deeplearning #watsonx

this is my first true list on YouTube. I mean i hope it does well since it took me 5 months. Enjoy!