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🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=_tESQLUw03g&utm_medium=Lives&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=_tESQLUw03g&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=_tESQLUw03g&utm_medium=Lives&utm_source=Youtube
The Generative AI Full Course 2025 by Simplilearn starts with an introduction to Generative AI, covering beginner tutorials and the AI career landscape in 2025. It delves into the Gen AI engineer roadmap, the top AI technologies, and Deepseek R1. Learners explore deep learning, GANs, transformers, and LLMs, along with Search GPT and Langchain. The course provides a strong foundation in machine learning, reinforcement learning, and benchmarking LLMs. Practical applications include ChatGPT analysis, OpenAI Sora, and Hugging Face tutorials. The course concludes with AI tools for job interviews, Agentic AI, Google Quantum AI, and deep learning interview questions.
Following are the topics covered in the Gen AI Full Course 2025:
00:00:00 Introduction to Gen AI Full Course 2025
00:04:37 What is Gen AI ?
00:05:22 Genrative AI Tutorial For Beginners
00:16:24 AI Carrers in 2025
00:24:33 Gen AI Engineer Roadmap
00:33:40 Top 10 AI Technologies in 2025
00:57:46 Introduction to Deepseek r1
01:04:45 Deep Learning Tutorial
01:13:02 What is Search GPT
01:15:17 Langchain Tutorial
02:11:52 Generative Adversarial Tutorial
02:21:14 What are GANS?
02:22:15 Transformers in AI
02:34:44 LSTM Tutorial
02:36:08 Introduction to LLM
03:37:21 What is Machine Learning?
04:33:53 Machine Learning Tutorial
06:39:16 Reinforcement Learning
06:59:07 ChatGPT Analyse
07:10:03 Openai sora
07:18:56 LLM Benchmarkeing
08:09:39 Hugging Face Tutorial
08:25:03 OpenAI ChatGPT o1 model
08:30:12 Gen AI Tools for Job Interview
09:07:14 Agentic AI Tutorial
09:15:37 Google Quantam AI
11:15:58 Deep learning Interview questions and Answers
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#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025
➡️ About Professional Certificate Program in Generative AI and Machine Learning
Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.
Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics
Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass
👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=_tESQLUw03g&utm_medium=Lives&utm_source=Youtube
🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐲𝐒𝐐𝐋 𝐃𝐁𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/mysql-dba (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on 'SQL Basics for Beginners will help you understand the basics of SQL and also SQL queries which are very popular and essential. In this SQL Tutorial for Beginners, you will learn SQL from scratch with examples. The following topics have been covered in this SQL tutorial:
00:00:00 Introduction
00:00:32 Agenda
00:00:54 Introduction to SQL
00:02:26 Features of SQL
00:03:41 Data & Database
00:07:55 Table
00:11:02 Basic SQL Queries
00:11:46 SELECT
00:12:33 WHERE
00:13:06 AND, OR, NOT
00:15:04 INSERT INTO
00:16:06 AGGREGATE FUNCTIONS
00:18:53 GROUP BY, HAVING, ORDER BY
00:21:26 NULL
00:22:57 UPDATE & DELETE
00:24:26 IN & BETWEEN OPERATORS
00:25:51 ALIASES IN SQL
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
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** Data Science Certification using R: https://www.edureka.co/data-science **
This Edureka "Data Science Applications" video takes you through the various domains in which data science is being deployed today, along with some potential applications of this technology. The world today runs on data and this video shows exactly that.
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist
-------------------------------------
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#datascience #statisticsfordatascience #rstatistics #datascienceessentials #datasciencewithr
--------------------------------------
How it Works?
1. This is a 30-hour Instructor-led Online Course.
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 Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.
-------------------------------------
Who should go for this course?
The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
Developers aspiring to be a 'Data Scientist'
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
'R' professionals who wish to work Big Data
Analysts wanting to understand Data Science methodologies
-------------------------------------
Why learn Data Science?
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.
Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.
Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.
-------------------------------------
Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.
For Data Science Training and Certification, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).
🔥Cyber Security Course for 3-8 Yrs Work Exp: https://l.linklyhq.com/l/1tx76
🔥Cyber Security Course for 0-3 Yrs Work Exp: https://l.linklyhq.com/l/1ugBy
🔥Cyber Security Course for 8+ Yrs Work Exp: https://l.linklyhq.com/l/1tx7J
In this Cyber Security Crash Course video, you will learn all about cyber security, know the importance of cyber security, what cyber security means, and the different types of cyberattacks with a hands-on demo for each. Let's begin this Cyber Security Training For Beginners!
The topics covered in this Cyber Security Crash Course video are:
00:00:00 Introduction to Cyber Security
00:12:40 Malware Attack
00:20:22 Phishing Attack
00:25:07 Man-in-the-Middle Attack
00:27:28 Denial of Service Attack
00:28:09 SQL Injection Attack
00:29:27 Password Attack
00:34:08 Network Attacks
00:25:07 Man-in-the-Middle Attack
00:35:03 History of Cybercrimes
00:40:28 What is Cyber Security?
00:42:20 Network Terminologies
01:05:36 CIA
01:08:55 Tackling Cybercrime
01:20:07 Metasploit Attack
01:31:40 Who Is a Cyber Security Expert?
01:41:56 Ethical Hacking Introduction
01:49:27 What Is Ethical Hacking?
02:27:04 Kali Linux Installation & Cyberattack demo
03:26:18 Cyber Security Career
03:42:08 Ethical Hacking Career
03:53:18 CISSP Certification
04:09:00 Cyber Security Interview Questions & Answers
🔥FREE Cyber Security Course: https://www.simplilearn.com/learn-cyber-security-basics-skillup?utm_campaign=CyberSecurityCrashCourse&utm_medium=Description&utm_source=youtube
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#CyberSecurityFullCourse #CyberSecurityTutorial #CyberSecurityCourse #CyberSecurityTrainingForBeginners #CyberSecurity #CyberSecurityTraining #CyberSecurity #Simplilearn
➡️ About Post Graduate Program In Cyber Security
This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.
✅ Key Features
- Simplilearn Post Graduate Certificate
- Masterclasses from MIT Faculty
- Featuring Modules from MIT SCC and EC-Council
- 8X higher interaction in live online classes conducted by industry experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Industry case studies in cyber security
- Access to CEH Pro Version
- 25+ hands-on projects
- Capstone project in 3 domains
- MIT CSAIL Professional Programs Community
✅ Skills Covered
- Advanced Hacking Concepts
- Network Packet Analysis
- Ethical Hacking
- IDS Firewalls and Honeypots
- Security and Risk Management
- Network Security
- Software Development Security
- Cryptography OSI and TCPIP Models
- Identity and Access Management
- Security Assessment and Testing
- Trojans Backdoors and Countermeasures
- Mobile and Web Technologies
👉 Learn More at: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=CyberSecurity&utm_medium=Description&utm_source=youtube
🔥IIIT Bangalore Advanced Executive Program In Cybersecurity (India Only): https://www.simplilearn.com/pgp-advanced-executive-program-in-cyber-security?utm_campaign=SCE-IIITBangaloreCS&utm_medium=DescriptionFF&utm_source=youtube
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This Logistic Regression video will help you understand how a Logistic Regression algorithm works in Machine Learning. You will learn what is Supervised Learning, what is a classification problem, and the maths behind Logistic Regression. In the end, you will see a demo on how to predict the number present in an image using Logistic Regression in Python.
Below topics are covered in this Logistic Regression Tutorial:
0:00 - 01:52 Introduction
01:52 - 05:35 What is Supervised Learning?
05:35 - 06:10 What is Classification?
06:10 - 15:49 What is Logistic Regression?
15:49 - 16:58 Comparing Linear and Logistic regression
16:58 - 18:40 Logistic regression applications
18:40 - 38:17 Use case - Predicting the number in an image
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We've partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here - https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=Logistic-Regression-XnOAdxOWXWg&utm_medium=Tutorials&utm_source=youtube
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#LogisticRegression #LogisticRegressionMachineLearning #LogisticRegressionInPython #MachineLearningPython #MachineLearningAlgorithms #MachineLearnAlgorithms #MachineLearning #Simplilearn
What is Logistics Regression?
Logistic regression is a classification algorithm that is used to predict a binary outcome based on a set of independent variables. Logistic regression uses a logistic function to estimate the probability of a target variable belonging to a particular class or category. It assumes that the dependent variable is binary or dichotomous and there should be no or very little multicollinearity between the predictor variables. Logistic regression
➡️ 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
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- 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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- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At:
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
![Cybersecurity Full Course - 10 Hours | Cyber Security Training for Beginners [2024] | Edureka](https://i.ytimg.com/vi/JcaYwZ5fqjU/maxresdefault.jpg)
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐲𝐛𝐞𝐫 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/cyberse....curity-certification
In this comprehensive "Cybersecurity Full Course" by Edureka, you'll explore the fundamental principles of cybersecurity. Whether you're new to the field or a seasoned professional, this Cybersecurity course is designed to help you grasp the core concepts of cybersecurity. Throughout this Cybersecurity course, you'll cover a wide range of topics essential for understanding digital security.
00:00:00 Introduction
00:01:26 Agenda
00:03:51 Introduction to cybersecurity
00:05:18 Cyber Threats
00:08:41 Cyber security
00:09:39 CIA Triad
00:18:50 Cyber Attack
00:22:13 History of Cybersecurity
00:36:13 Types of HAckers
00:54:06 Penetration testing
01:01:20 FootPrinting?
01:27:26 Google Hacking
01:34:11 History of The Internet
01:39:30 OSI an TCP/IP Model
01:51:35 Addressing : Unicast
01:53:31 Wireshark
01:59:18 DHCP
02:04:37 Cryptography
02:07:31 Digital Encryption Standard
02:30:13 Certificates
02:36:59 Hashing
02:41:20 History of SSL
02:48:35 Bitlocker
02:56:47 Cyber security Components
03:19:01 Firewall
03:23:51 Demo Time!
03:32:32 Types of Framework
03:46:04 Kali Linux
04:08:46 Installing kali Linux Tools on Linux Distributions
04:26:38 What is NMAP?
04:42:06 What is Ethical hacking ?
04:55:08 Fingerprointing
04:57:33 Phases of Ethical HAcking
05:12:03 MAintaining access
05:53:07 What is PRoxychain
06:08:34 What is MAcAdress
06:39:58 Introduction to cryptography
06:57:50 What is Brute Force
07:14:45 Steganography
07:22:28 Basic Steganographic Model
07:48:46 Steganographic tools
07:56:17 What is DOS and DDOS?
08:16:35 Cross Site Scripting
08:47:59 What is SQL injection
09:05:22 Top 10 Reasons to learn Cybersecurity
09:15:02 Job roles in Cybersecurity
09:25:10 Cybersecurity Interview Questions
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https://www.youtube.com/c/Veri....tasiumenespañol?sub_
La transformación rápida de Fourier es usada en todas partes y tiene una fascinante historia de origen que pudo haber terminado la carrera por las armas nucleares. Este video es patrocinado por "80,000 Hours". Dirígete a http://80000hours.org/veritasium para suscribirte a su tablero de noticias y recibir una copia gratis de su guía de carreras a profundidad.
Muchas gracias al Dr. Richard Garwin por tomarse el tiempo de hablar con nosotros.
Gracias al Dr. Steve Brunton de la universidad de Washington por su ayuda en el entendimiento de la transformación rápida de Fourier.
gracias al Dr. Cliff Thurber de la Universidad de Wisconsin-Madison, Dr. Paul Richards de la Universidad de Columbia y al Dr. Steven Gibbons de Instituto Geotécnico de Noruega por su colaboración.
Referencias:
Kristensen, H.M., Korda, M. (2022). Status of World Nuclear Forces. Federation of American Scientists (FAS). https://ve42.co/Stockpile2022
Barth, K. H. (1998). Science and politics in early nuclear test ban negotiations. Physics Today, 51(3), 34-39. - https://ve42.co/Barth1998
Schmalberger, T. (1991). In pursuit of a nuclear test ban treaty - https://ve42.co/Schmalberger1991
Bowers, D., & Selby, N. D. (2009). Forensic seismology and the comprehensive nuclear-test-ban treaty. Annual Review of Earth and Planetary Sciences, 37, 209-236 - https://ve42.co/Bowers2009
Incorporated Research Institutions for Seismology (IRIS). (2022). How Often Do Earthquakes Occur? https://ve42.co/IRIS2022
Kimball, D. (2022). The Nuclear Testing Tally. Arms Control Association. https://ve42.co/TestTally2022
Kværna, T., & Ringdal, F. (2013). Detection capability of the seismic network of the International Monitoring System for the Comprehensive Nuclear Test Ban Treaty. Bulletin of the Seismological Society of America, 103(2A), 759-772 - https://ve42.co/Kvrna2013
Sykes, L. R., & Evernden, J. F. (1982). The verification of a comprehensive nuclear test ban. Scientific American, 247(4), 47-55 - https://ve42.co/Sykes1982
Peterson, J., & Hutt, C. R. (2014). World-wide standardized seismograph network: a data users guide (p. 82). US Department of the Interior, US Geological Survey. - https://ve42.co/Peterson2014
Richards, P. G., & Kim, W. Y. (2009). Monitoring for nuclear explosions. Scientific American, 300(3), 70-77 - https://ve42.co/Richards2009
Jacobsen, L. L., Fedorova, I., & Lajus, J. (2021). The seismograph as a diplomatic object: The Soviet–American exchange of instruments, 1958–1964. Centaurus, 63(2), 277-295 - https://ve42.co/Jacobsen2021
Schwartz S. I. (1998). The Hidden Costs Of Our Nuclear Arsenal: Overview Of Project Findings. The Brookings Institution - https://ve42.co/Schwartz1998
Ricón, J.L. (2016). The Soviet Union: Military Spending. Nintil - https://ve42.co/Nintil2016
Heideman, M. T., Johnson, D. H., & Burrus, C. S. (1985). Gauss and the history of the fast Fourier transform. Archive for history of exact sciences, 265-277 - https://ve42.co/Heideman1985
Ford, D. (2004). Richard Garwin - Session IV. American Institute of Physics (AIP). - https://ve42.co/Ford2004
Aaserud, F. (1986). Richard Garwin - Session I. American Institute of Physics (AIP). - https://ve42.co/Aaserud1986
Goldstein, A. (1997). James W. Cooley, an oral history. IEEE History Center, Piscataway, NJ, USA - https://ve42.co/Goldstein1997
Cooley, J., Garwin, R., Rader, C., Bogert, B., & Stockham, T. (1969). The 1968 Arden House workshop on fast Fourier transform processing. IEEE Transactions on Audio and Electroacoustics, 17(2), 66-76 - https://ve42.co/Cooley1969
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Créditos:
Filmado por Derek Muller y Raquel Nuno
Animado por Ivy Tello, Jakub Misiek, Alex Drakoulis, and Fabio Albertelli
Editado por Albert Leung & Derek Muller
Asistente de investigación: Katie Barnshaw
Videos/fotos adicionales provistas por Pond5 y Getty Images
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Produced by Derek Muller, Petr Lebedev, and Emily Zhang
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About the Course :
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--------------------------------------
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.
--------------------------------------------
Who should go for this Course?
Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
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
--------------------------------
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).
Random Forest in Machine Learning | Machine Learning Training | Edureka | Machine Learning Rewind- 5
🔥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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🔹Blog Series: https://bit.ly/2PX5lIp
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-----------------------------------------Edureka Masters Programs---------------------------------------------------
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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.
--------------------------------------------------------------------
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)
🔥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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---------------------------------------Edureka Post Graduate Courses-------------------------------------------
🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q
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).
🔥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.
00:00:00 Agenda
00:01:10 What is Classification
00:01:45 Classification vs Regression
00:02:18 Types of Classification Algorithms
00:02:33 Understanding Random Forest
00:02:38 What is Random Forest
00:03:12 Why Random Forest
00:03:31 Terminology Alert-What is Ensemble Learning
00:08:15 Ensemble Mode- Bagging
00:09:20 Ensemble Mode Technology Alert- Boosting
00:10:21 Random Forest Analogy
00:13:40 What is Random Forest
00:14:05 Creating a Random Forest: Steps Involved
00:14:48 Step 1: Creating a Bootstrap Dataset
00:15:49 Stewp2:Create Decision Tree: Bootstrapped Dataset
00:17:07 Step 3 & 4: Counting the votes for predicting
00:17:21 How Good is your Model
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------------------------------------Edureka Online Training and Certification---------------------------------
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🔵 Java Online Training: https://bit.ly/31rxJcY
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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
🟣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---------------------------------------------------
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🟣CyberSecurity PGP: https://bit.ly/3eHvI0h
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#Edureka #PythonEdureka #RandomForestAlgorithm #pythonMachineLearning #pythonTraining #Python
------------------------------------------------------------------
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.
--------------------------------------
--------------------------------------------------------------------
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)
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearningCourse-YjMAasOOr4g&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 Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=SCE-AIMasters&utm_medium=DescriptionFF&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=MachineLearningCourse-YjMAasOOr4g&utm_medium=Descriptionff&utm_source=youtube
This video on Machine Learning Full Course will help you learn the basics and advanced concepts in machine learning. You will look at the different algorithms along with hands-on demos in Python. You will understand reinforcement learning, regularization, principal component analysis and see the top interview questions as well.
So, here's what you'll be learning in this Machine Learning Course:
00:00:00 Basics of Machine Learning
00:09:17 Machine Learning Algorithms
02:17:36 What is K-Means Clustering?
03:32:45 Mathematics for ML
05:22:55 Reinforcement Learning
06:21:05 PCA
06:51:55 Regularization in ML
07:20:46 Feature Selection in ML
07:42:19 US Election Prediction
08:11:16 ML Interview Questions
Dataset Link - https://drive.google.com/drive..../folders/15lSrc4176J
🔥Free Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearningCourse&utm_medium=Description&utm_source=youtube
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Machine Learning tutorial videos: https://www.youtube.com/watch?v=ukzFI9rgwfU&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy
#MachineLearning #MachineLearningTutorial #MachineLearningPython #MachineLearningFullCourse #MachineLearningCourse #MachineLearningAlgorithms
➡️ 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: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearningCourse-YjMAasOOr4g&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=24JunUSPriority&utm_medium=DescriptionFF&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=AI-9dFhZFUkzuQ&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
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=AI-9dFhZFUkzuQ&utm_medium=DescriptionFF&utm_source=youtube
🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=SCE-AIMasters&utm_medium=DescriptionFF&utm_source=youtube
This Machine Learning vs Deep Learning vs Artificial Intelligence video will help you understand the differences between ML, DL, and AI, and how they are related to each other. The tutorial video will also cover what Machine Learning, Deep Learning, and Artificial Intelligence entail, how they work with the help of examples, and whether they really are all that different.
This Machine Learning Vs Deep Learning Vs Artificial Intelligence video will explain the topics listed below:
Start (0:00)
1. Artificial Intelligence example ( 00:29 )
2. Machine Learning example ( 01:29 )
3. Deep Learning example ( 01:44 )
4. Human vs Artificial Intelligence ( 03:34 )
5. How Machine Learning works ( 06:11 )
6. How Deep Learning works ( 07:09 )
7. AI vs Machine Learning vs Deep Learning ( 12:33 )
8. AI with Machine Learning and Deep Learning ( 13:05 )
9. Real-life examples ( 15:29 )
10. Types of Artificial Intelligence ( 17:50 )
11. Types of Machine Learning ( 20:32 )
12. Comparing Machine Learning and Deep Learning ( 22:46 )
13. A glimpse into the future ( 25:46 )
Subscribe to our channel for more Machine Learning & AI Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi
📚ML vs DL vs AI Article: https://bit.ly/3fh6HIP
Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=What-is-Machine-Learning-7JhjINPwfYQ&utm_medium=Tutorials&utm_source=youtube
You can also go through the Slides here: https://goo.gl/cdQ7uy
#SimplilearnMachineLearning #SimplilearnAI #SimplilearnDeepLearning #Artificialintelligence #MachineLearningTutorial
➡️ 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:
🔥 Enroll for FREE Machine Learning Course & Get your Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
🔥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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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
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📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/
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---------
🔵 DevOps Online Training: http://bit.ly/3qqcotZ
🌕 Python Online Training: http://bit.ly/3i7DiDD
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🌕 Power BI Online Training: https://bit.ly/3zq1WHX
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🔵 DevOps Engineer Masters Program: http://bit.ly/2MY1OMc
🌕 Cloud Architect Masters Program: http://bit.ly/2MY1OMc
🔵 Data Scientist Masters Program: http://bit.ly/3qaVZJA
🌕 Big Data Architect Masters Program: http://bit.ly/3qaVZJA
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3bxAhLG
🌕 Business Intelligence Masters Program: http://bit.ly/3byBhiS
🔵 Python Developer Masters Program: http://bit.ly/3nw4Rb2
🌕 RPA Developer Masters Program: http://bit.ly/3nw4Rb2
----------------------------------
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 [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
