Top videos
๐ฅE&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.
๐ธ๐น๐ถ๐น๐๐๐จ๐ฎ๐ญ ๐๐ก๐ ๐๐ฉ๐๐๐ค๐๐ซ๐น๐ถ๐น๐ธ
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.
๐ดSubscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
------------------------------------Edureka Online Training and Certification---------------------------------
๐ต DevOps Online Training: https://bit.ly/2BPwXf0
๐ฃ Python Online Training: https://bit.ly/2CQYGN7
๐ต AWS Online Training: https://bit.ly/2ZnbW3s
๐ฃ RPA Online Training: https://bit.ly/2Zd0ac0
๐ต Data Science Online Training: https://bit.ly/2NCT239
๐ฃ Big Data Online Training: https://bit.ly/3g8zksu
๐ต Java Online Training: https://bit.ly/31rxJcY
๐ฃ Selenium Online Training: https://bit.ly/3dIrh43
๐ต PMP Online Training: https://bit.ly/3dJxMTW
๐ฃ Tableau Online Training: https://bit.ly/3g784KJ
-----------------------------------------Edureka Masters Programs---------------------------------------------------
๐ตDevOps Engineer Masters Program: https://bit.ly/2B9tZCp
๐ฃCloud Architect Masters Program: https://bit.ly/3i9z0eJ
๐ตData Scientist Masters Program: https://bit.ly/2YHaolS
๐ฃBig Data Architect Masters Program: https://bit.ly/31qrOVv
๐ตMachine Learning Engineer Masters Program: https://bit.ly/388NXJi
๐ฃBusiness Intelligence Masters Program: https://bit.ly/2BPLtn2
๐ตPython Developer Masters Program: https://bit.ly/2Vn7tgb
๐ฃRPA Developer Masters Program: https://bit.ly/3eHwPNf
-----------------------------------------Edureka PGP Courses---------------------------------------------------
๐ตArtificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
๐ฃCyberSecurity PGP: https://bit.ly/3eHvI0h
๐ตDigital Marketing PGP: https://bit.ly/38cqdnz
๐ฃBig Data Engineering PGP: https://bit.ly/3eTSyBC
๐ตData Science PGP: https://bit.ly/3dIeYV9
๐ฃCloud Computing PGP: https://bit.ly/2B9tHLP
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#edureka #DataScienceEdureka #LogisticRgression #LogisticRegressionusingPython #learnAIML #withMe
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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).
๐ฅNIT 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!
๐ดTo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
------------------------------------Edureka Online Training and Certification---------------------------------
๐ต DevOps Online Training: https://bit.ly/2BPwXf0
๐ฃ Python Online Training: https://bit.ly/2CQYGN7
๐ต AWS Online Training: https://bit.ly/2ZnbW3s
๐ฃ RPA Online Training: https://bit.ly/2Zd0ac0
๐ต Data Science Online Training: https://bit.ly/2NCT239
๐ฃ Big Data Online Training: https://bit.ly/3g8zksu
๐ต Java Online Training: https://bit.ly/31rxJcY
๐ฃ Selenium Online Training: https://bit.ly/3dIrh43
๐ต PMP Online Training: https://bit.ly/3dJxMTW
๐ฃ Tableau Online Training: https://bit.ly/3g784KJ
-----------------------------------------Edureka Masters Programs---------------------------------------------------
๐ตDevOps Engineer Masters Program: https://bit.ly/2B9tZCp
๐ฃCloud Architect Masters Program: https://bit.ly/3i9z0eJ
๐ตData Scientist Masters Program: https://bit.ly/2YHaolS
๐ฃBig Data Architect Masters Program: https://bit.ly/31qrOVv
๐ตMachine Learning Engineer Masters Program: https://bit.ly/388NXJi
๐ฃBusiness Intelligence Masters Program: https://bit.ly/2BPLtn2
๐ตPython Developer Masters Program: https://bit.ly/2Vn7tgb
๐ฃRPA Developer Masters Program: https://bit.ly/3eHwPNf
---------------------------------------Edureka Post Graduate Courses-------------------------------------------
๐ต Artificial and Machine Learning PGD: https://bit.ly/3AylL0q
-----------------------------------------------------------------------------------------------------------
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Meetup: https://www.meetup.com/edureka
#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).
๐ฅAI Engineer Specialist: https://l.linklyhq.com/l/1yhn3
๐ฅ 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
๐ฅProfessional 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
๐ฅAI & 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
โ
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#FeatureSelectionInMachineLearning #FeatureSelectionTechniquesExplained #FeatureSelectionTechniquesWithExamples #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #SimplilearnMachineLearning #MachineLearningCourse
To learn more about this topic, visit: https://www.simplilearn.com/tutorials/machine-learning-tutorial/feature-selection-in-machine-learning?utm_campaign=FeatureSelectionInMachineLearning&utm_medium=Description&utm_source=youtube
๐ฅFree Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=FeatureSelectioninMachineLearning&utm_medium=Description&utm_source=youtube
โก๏ธ 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.
โ
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
โ
Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโฆ
๐ Learn More At: ๐ฅ 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
๐ฅ๐ฅ Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
๐ฅ Artificial Intelligence Full Course 2024 | ๐ดLearn It LIVE | AI & MLFull Course | Simplilearn
๐ฅ Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=A1NY2fL1qI8&utm_medium=DescriptionFirstFold&utm_source=youtube
๐ฅProfessional 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=A1NY2fL1qI8&utm_medium=DescriptionFF&utm_source=youtube
๐ฅAI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=A1NY2fL1qI8&utm_medium=DescriptionFirstFold&utm_source=youtube
๐ฅAI Engineer Specialist Program : https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=A1NY2fL1qI8&utm_medium=DescriptionFirstFold&utm_source=youtube
This video on the Artificial Intelligence full course video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.
โ
Check out the honest Simplilearn reviews : https://www.reddit.com/r/Simpl....iLearn/comments/1c1c
โ
Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn
โฉ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq
โฉ Like the video? Share Your Genuine Reviews: Let's Hear Your Experiences!
https://www.reddit.com/r/Simpl....iLearn/comments/1bpr
#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn
What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.
โก๏ธ 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.
โ
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 Job Assist 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
โ
Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many Moreโฆ
๐Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=12Sep2024LiveAIFC&utm_medium=Description&utm_source=youtube
๐Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities:
๐ก AI & Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=A1NY2fL1qI8&utm_medium=Description&utm_source=youtube
๐ข Cyber Security - https://www.simplilearn.com/vapt-vulnerability-assessment-penetration-testing-certification?utm_campaign=A1NY2fL1qI8&utm_medium=Description&utm_source=youtube
๐ด Data Analytics - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=A1NY2fL1qI8&utm_medium=Description&utm_source=youtube
๐ Data Science - https://www.simplilearn.com/iitk-professional-certificate-course-data-science?utm_campaign=A1NY2fL1qI8&utm_medium=Description&utm_source=youtube
๐ฅEdureka Tensorflow Training: https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
00:00:00 Agenda
00:02:37 What is Natural Language Processing
00:04:00 Ways to Process Text Data
00:05:46 Recurrent Neural Networks
00:12:26 Long short term Memory
00:17:06 Long short term memory use cases
00:18:06 Real time applications of LSTM
00:18:09 Name Entity Recognition
00:20:45 Sentiment Analysis
00:22:40 Machine Translation
00:24:32 Hands-on
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
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#Edureka #DeepLearningEdureka #LSTMExplained #NeuralNetworks #DeepLearningTraining #DeepearningTutorial #EdurekaTraining
---------------------------------------Edureka Post Graduate Courses-------------------------------------------
๐ต Artificial and Machine Learning PGD: https://bit.ly/3AylL0q
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 โHello Wordโ 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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Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
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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.
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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๐ฅ Prompt Engineering Course: https://www.edureka.co/prompt-....engineering-generati
This informative video on Prompt Engineering for Code Generation will help you understand prompt engineering for code generation, its principles, and a few practical questions. Gain insights into how prompt engineering for code generation is shaping various industries and staying ahead in the dynamic field of artificial intelligence. In this informative video of Prompt Engineering For Code Generation, we will cover essential topics such as:
โ
00:00 - Introduction
โ
00:58 - Prompt engineering for code generation
โ
01:32 - Principles of Prompt Engineer
โ
05:15 - Prompt engineering for coding practical examples
โ
Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
๐ต Data Science Training Masters Program: https://bitly.ws/37Ehr
๐ Data Science with Python Certification Course: https://bitly.ws/37EhS
๐ต Data Science with R Programming Certification Training Course : https://bitly.ws/37Eki
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๐ต DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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๐ต Data Scientist Masters Program: http://bit.ly/3tUAOiT
๐ Big Data Architect Masters Program: http://bit.ly/3tTWT0V
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
๐ Business Intelligence Masters Program: http://bit.ly/3UZPqJz
๐ต Python Developer Masters Program: http://bit.ly/3EV6kDv
๐ RPA Developer Masters Program: http://bit.ly/3OteYfP
๐ต Web Development Masters Program: http://bit.ly/3U9R5va
๐ Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
๐ต Cyber Security Masters Program: http://bit.ly/3U25rNR
๐ Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
๐ต Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
๐ Python Developer Masters Program : https://bit.ly/3EV6kDv
๐ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH
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๐ต Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
๐ Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh
๐ต Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8
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๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
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About Prompt Engineering Course
A streamlined curriculum covering fundamental engineering concepts in physics, electronics, and mathematics is provided by the Prompt Engineering Course. Through projects and assessments, it places a strong emphasis on experiential learning, preparing students for careers in entry-level engineering or for further study.
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Who should go for this course?
The Prompt Engineering Course is appropriate for people who want to work in engineering or related fields and need a structured introduction to basic ideas and practical experience. It serves both novices and those seeking to reinforce their grasp of fundamental engineering concepts.
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What are the Prerequisites for this course?
Although there are no formal prerequisites for the Prompt Engineering Course, it usually helps to have a basic understanding of mathematics and physics. It is intended for people who want to learn the fundamentals of engineering in order to pursue careers or further education in engineering-related fields.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#edureka #edurekatraining #promptengineer #code generation #prompt #promptcodegeneration #edurekacourse"
๐ฅEdureka Tensorflow Training (Use Code "๐๐๐๐๐๐๐๐๐"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" 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.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models
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00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models
#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining
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How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ 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.
- - - - - - - - - - - - - -
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).
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๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
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This Edureka "Convolutional Neural Network Tutorial" video (Blog: https://goo.gl/4zxMfU) will help you in understanding what is Convolutional Neural Network and how it works. It also includes a use-case, in which we will be creating a classifier using TensorFlow.
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MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
** New 2024 Edition **
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline
0:00โ - Introduction
3:42โ - Sequence modeling
5:30โ - Neurons with recurrence
12:20 - Recurrent neural networks
14:08 - RNN intuition
17:14โ - Unfolding RNNs
19:54 - RNNs from scratch
22:41 - Design criteria for sequential modeling
24:24 - Word prediction example
31:50โ - Backpropagation through time
33:40 - Gradient issues
37:15โ - Long short term memory (LSTM)
40:00โ - RNN applications
44:00- Attention fundamentals
46:46 - Intuition of attention
49:13 - Attention and search relationship
51:22 - Learning attention with neural networks
57:45 - Scaling attention and applications
1:00:08 - Summary
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00:00 Step by step roadmap to become data analyst with no experience
02:27 What does data analyst do?
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โก๏ธ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
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Are you overwhelmed by complex data and unsure of how to interpret it? Do you want to enhance your data analysis skills? You've come to the right place! Our course is designed to teach you the essentials of Business Intelligence using Power BI.
Whether you're a student, a young professional, or a manager, this course is tailored for you. Led by expert instructor, you'll learn everything from connecting to data sources to creating interactive dashboards and visualizations. You'll discover how to transform and clean data, and how to use advanced features like tooltips, animations, and bookmarks to make your data more engaging. Additionally, you'll learn to design effective dashboards.
By the end of this course, you'll be proficient in analyzing and visualizing data, empowering you to make informed, data-driven decisions. You'll be equipped to elevate your data analysis skills and advance your career.
Don't miss this chance to unlock the full potential of your data. Start learning today! This educational YouTube series is a full course on Power BI, covering all essential features and functions. It's perfect for business analysts, data analysts, and anyone interested in Business Intelligence and data analytics. Led by Mr. Pavan Lalwani, this tutorial will guide you from the basics to advanced usage, helping you effectively utilize Power BI for data analysis and visualization.
You'll learn how to enhance your visualizations with Power BI tooltips, animations, and bookmarks, and design impactful dashboards. This course will provide you with the knowledge and skills needed to confidently analyze and present data using Power BI.
โก๏ธ About PL-300 Microsoft Power BI Certification Training
* Aligned with PL-300: Microsoft Power BI Data Analyst certification
* Topics include Power BI Desktop layouts, BI reports, dashboards, DAX commands, and functions
* Learn to experiment, refine, prepare, and present data with ease
* Explore comprehensive Power BI training for hands-on applied learning
* Learn through a practical approach to help you gain expertise
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Key Features
30+ hours of blended learning
Industry-based projects for experiential learning
Dedicated live sessions by faculty of industry experts
Curriculum aligned with PL-300: Microsoft Power BI Data Analyst certification
Lifetime access to self-paced learning content
Industry-recognized course completion certificate
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Skills Covered
- Data Modelling
-Dashboard Creation
- MobileSpecific Data Visualization
- Builtin Aggregations
- DAX Commands and Functions
- Data Visualization
- Data Model Performance Optimization
- Desktop Layout
- Reports and Dashboards
Get the interactive demo โ https://ibm.biz/BdmPEb
Learn about the technology โ https://ibm.biz/BdmPEp
Oftentimes, GAI and RAG discussions are interconnected. Learn more about about RAG is and how it works alongside your databases, LLMs and vector databases for better results with Luv Aggarwal and Shawn Brennan.
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Grokking Machine Learning Book: https://www.manning.com/books/....grokking-machine-lea
40% discount promo code: serranoyt
A friendly introduction to the main algorithms of Machine Learning with examples.
No previous knowledge required.
What is Machine Learning: (0:05)
Linear Regression: (2:25)
Gradient Descent: (4:10)
Naive Bayes: (6:20)
Decision Trees: (10:35)
Logistic Regression: (13:20)
Neural networks: (17:00)
Support Vector Machines: (18:50)
Kernel trick: (20:05)
K-Means clustering: (26:00)
Hierarchical Clustering: (28:30)
Summary๏ปฟ: (29:40)
(Thanks to Nick Kartha for breaking down the topics!)
If you like this, there's an extended version in this playlist:
https://www.youtube.com/playli....st?list=PLAwxTw4SYaP
This video is a friendly introduction to quantum computing and machine learning. No knowledge required.
This video is part of a blog post with Zapata computing:
https://www.zapatacomputing.co....m/why-generative-mod
QCBM Paper: https://www.nature.com/articles/s41534-019-0157-8
Video 2: Non-gradient optimizers, CMA-ES and PSO https://www.youtube.com/watch?v=oi5GQvJzy5I
Video 3: The mathematics behind qubits (coming soon!)
Introduction: (0:00)
Quantum and classical machine learning: (1.46)
Probability: (5:12)
The qubit: (8:23)
Quantum measurement: (12:08)
Qubits as generative models: (13:42)
Measuring with different bases: (14:15)
Quantum gates: (22:27)
Quantum entanglement: (25:23)
Entanglement gates: (35:31)
Quantum machine learning (36:04)
Training models: (39:50)
Loss functions and KL divergence: (47:55)
Labs, code, etc: (49:59)