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About the Webinar
Unlock the transformative power of artificial intelligence with our Applied Generative AI Specialization in partnership with Purdue University.
Join us on April 18th, 09:00 PM, for an exclusive insight into our Applied Generative AI Specialization. Discover the cutting-edge curriculum, hands-on projects, and unique features of this program designed to prepare you for success in developing and deploying AI-driven solutions.
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#ArtificialIntelligence #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn
Topics Covered:
In this enlightening session, we will explore key components of our Applied AI Course, including:
✅ Foundational AI Concepts
✅ Developing AI Applications
✅ AI in Practice
✅ AI Governance
✅ Interactive Q&A Session
About Applied Generative AI Specialization
Master Generative AI with this cutting-edge program delivered collaboratively by Purdue University Online and Simplilearn. Explore concepts like prompt engineering, large language models, attention mechanisms, and LLM fine-tuning. Learn in-demand tools and shape the future of intelligent systems.
Key Features
✅ Program completion certificate from Purdue University Online and Simplilearn
✅ Access to Purdue’s alumni association membership on program completion
✅ 50+ hours of core curriculum delivered in live online classes by industry experts
✅ Build Generative AI-enabled applications through hands-on projects
✅ Live online masterclasses delivered by Purdue faculty and staff
✅ Gain exposure to ChatGPT, OpenAI, Hugging Face, DALL-E 2 and other prominent tools
✅ Explore concepts like prompt engineering, attention mechanism, transformers, LLM application development, and LLM fine-tuning
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Earn official trophy and badges for ‘Microsoft Azure AI Fundamentals: Generative AI’ on the Microsoft Learn portal
Applied Gen AI Course Advantage
Gain a competitive edge with hands-on learning in the transformative arena of Generative AI. Master prompt engineering, LLMs, attention mechanisms, fine-tuning techniques, and LLM application development.
Applied Gen AI Course Details
Explore our Applied Generative AI program to deploy advanced techniques in real-world scenarios. Master GANs, VAEs, and prompt engineering, alongside tools like ChatGPT, DALL-E 2, OpenAI and Hugging Face. Develop LLM applications, fine-tuning skills, and explore governance principles.
Learning Path
✅ AGS: Program Induction
✅ AGS: Python Basics (Optional)
✅ AGS: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ AGS: Advanced Generative AI - Models and Architecture
✅ AGS: Advanced Generative AI - Building LLM Applications
✅ AGS: Advanced Generative AI - Image Generation Capabilities
✅ AGS: Generative AI Governance
Electives:
✅ AGS: Microsoft Azure AI Fundamentals - Generative AI
✅ AGS: Academic Masterclass
Skills Covered
✅ Python Programming
✅ Explainable AI
✅ Prompt Engineering
✅ Variational Autoencoders VAEs
✅ Generative Adversarial Networks GANs
✅ Transformers
✅ LLM Architecture
✅ Attention Mechanism
✅ Langchain for Workflow Design
✅ GenAI Application Development
✅ LLM Fine Tuning
✅ LLM Benchmarking
✅ Stable Diffusion
✅ Generative AI Governance
Tools Covered
✅ Python
✅ ChatGPT
✅ OpenAI
✅ Hugging Face
✅ Bard
✅ Dall-E-2
✅ LangChain
✅ Gradio
✅ Chroma
✅ StreamLit
Industry Projects
✅ Project 1
Craft an AI Powered HR Assistant
✅ Project 2
Build a Creative Logo Designer
✅ Project 3
Conversational Chatbot for Document Interaction
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In this video on large language models, we’ll take a look at Large Language Models (LLMs) and understand what they are all about. First, we’ll explain what LLMs are and why they’re becoming so important in the world of technology. You’ll learn what these models do and how they’re used in areas like healthcare, finance, and customer service. We’ll also talk about how large language models are trained. These models use huge amounts of data to learn and create human-like text. We’ll break down how they work, from understanding language to predicting what comes next in a sentence.
Lastly, we’ll explore where LLMs are used today, such as in chatbots, content creation, and translations. These models are helping businesses work smarter and faster.
00:00 Introduction to LLMs
02:17 What are large language models?
03:22 How LLMs are trained?
05:05 How LLMsWork?
05:48 Applications Of LLMs
What is a large language model?
A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data — hence the name "large." LLMs are built on machine learning: specifically, a type of neural network called a transformer model.
Is ChatGPT a large language model?
The reason is that Large Language Models like ChatGPT are actually trained in phases. Phases of LLM training: (1) Pre-Training, (2) Instruction Fine-Tuning, (3) Reinforcement from Human Feedback (RLHF).
What are LLM examples?
For example, LLMs could be used to create personalized education or healthcare plans, leading to better patient and student outcomes. LLMs can be used to help businesses and governments make better decisions by analyzing large amounts of data and generating insights.
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
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In this video, we guide you through a comprehensive Generative AI roadmap for beginners, breaking down the essential steps to kickstart your journey. From learning Python and basic machine learning concepts to diving into deep learning and building generative models like GANs and VAEs, this step-by-step guide covers everything you need. Whether you're just starting out or looking to build a solid foundation in AI, this roadmap will give you the skills and confidence to explore the exciting world of Generative AI. Don't miss out on this must-watch for aspiring AI enthusiasts!
✅ How to learn gen AI for beginners?
To learn Generative AI as a beginner, start by mastering Python and basic machine learning concepts. Then, explore deep learning frameworks like TensorFlow or PyTorch. Study neural networks and dive into generative models like GANs and VAEs. Practice with hands-on projects to build real-world experience.
✅ Does generative AI require coding?
Yes, generative AI typically requires coding, especially in languages like Python. You’ll need to understand coding to work with frameworks such as TensorFlow or PyTorch, build models, and manipulate data. However, some tools and platforms now offer low-code or no-code solutions for those with limited programming skills.
✅ Is AI highly paid?
Yes, AI professionals are highly paid due to the increasing demand for specialized skills in machine learning, data science, and AI development. Roles like AI engineers, data scientists, and machine learning specialists command high salaries, reflecting the value of AI expertise in industries like tech, healthcare, finance, and more.
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
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Dive into the world of Large Language Models with our How Large Language Models Work video! In this Introduction to LLM video, we explore the fascinating technology behind large language models like GPT-3 and their impact on AI. Discover how these models work, their impressive capabilities, and how they’re transforming fields like natural language processing and machine learning.
Here in this Introduction to LLM video, we cover the following topics:
00:00 Introduction
02:09 From RNNs to Transformers
05:07 Transformer Architecture Diagram
07:21 Why Transformers Can Predict Text?
08:16 What is LLM
09:37 Capabilities
10:39 Real World Applications
11:42 How Do Large Language Models Work?
12:03 Learnings
12:28 Customization Techniques
12:58 Types
13:37 Advantages and Challenges
✅What are large language models?
Large language models are advanced AI systems capable of understanding and generating human-like text based on vast amounts of data. They excel in tasks like translation, summarization, and conversation due to their deep learning architecture
✅Q2 How do large language models work?
They use complex algorithms and deep learning techniques to predict and generate text. By processing large datasets, these models learn patterns in language, enabling them to create coherent and contextually relevant responses.
✅Q3 What are some applications of large language models?
These models are used in chatbots, virtual assistants, automated content creation, and enhancing search engines and recommendation systems.
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=08Aug2024-Large-Language-Models&utm_medium=Description&utm_source=youtube
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This K Means clustering algorithm tutorial video will take you through machine learning basics, types of clustering algorithms, what is K Means clustering, how does K Means clustering work with examples along with a demo in python on K-Means clustering - color compression. This Machine Learning algorithm tutorial video is ideal for beginners to learn how K Means clustering work.
Below topics are covered in this K-Means Clustering Algorithm Tutorial:
1. Types of Machine Learning? ( 07:08 )
2. What is K Means Clustering? ( 00:10 )
3. Applications of K Means Clustering ( 09:27 )
4. Common distance measure ( 10:20 )
5. How does K Means Clustering work? ( 12:27 )
6. K Means Clustering Algorithm ( 20:08 )
7. Demo In Python: K Means Clustering ( 26:20 )
8. Use case: Color compression In Python ( 38:38 )
Dataset Link - https://drive.google.com/drive..../folders/1RdPdB3Fkqo
What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
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You will find in-depth content on the Machine Learning. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE.
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At:
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In this Machine Learning with R full-course video, you will understand the basics of machine learning and look at the various applications of Machine Learning. You will learn R programming in detail, understand some of the vital machine learning algorithms, such as linear regression, logistic regression, decision tree, random forest, SVM, and hierarchical clustering techniques. Finally, this video will help you understand the time series analysis in R.
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Machine Learning basics
R Programming
Machine Learning algorithms
Linear regression
Logistic regression
Decision Tree and Random forest
SVM - Support Vector Machine
Clustering
Time Series Analysis
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What is Supervised Learning?
In supervised learning, we use known or labeled data for the training data. Since the data is known, the learning is, therefore, supervised, i.e., directed into successful execution. The input data goes through the Machine Learning algorithm and is used to train the model.
What is Unsupervised Learning?
In unsupervised learning, the training data is unknown and unlabeled - meaning that no one has looked at the data before. Without the aspect of known data, the input cannot be guided to the algorithm, which is where the unsupervised term originates from. This data is fed to the Machine Learning algorithm and is used to train the model. The trained model tries to search for a pattern and give the desired response. In this case, it is often like the algorithm is trying to break code like the Enigma machine but without the human mind directly involved but rather a machine.
What is Reinforcement Learning?
Like traditional types of data analysis, here, the algorithm discovers data through a process of trial and error and then decides what action results in higher rewards. Three major components make up reinforcement learning: the agent, the environment, and the actions.
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About Post Graduate Program in AI and Machine Learning:
Fast track your career with our comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM. This AI and machine learning certification program will prepare you for one of the world’s most exciting technology frontiers. This Post Graduate Program in AI and Machine Learning covers statistics, Python, machine learning, deep learning networks, NLP, and reinforcement learning. You will build and deploy deep learning models on the cloud using AWS SageMaker, work on voice assistance devices, build Alexa skills, and gain access to GPU-enabled labs.
Key Features:
✅ Purdue Alumni Association Membership
✅ Industry-recognized IBM certificates for IBM courses
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This KNN Algorithm in Machine Learningtutorial will help you understand what is KNN, why do we need KNN, and how KNN algorithm works using Python. You will learn how do we choose the factor 'K', when do we use KNN, with proper hands on demonstration to predict whether a person will have diabetes or not, using the KNN algorithm.
Below topics are explained in this K-Nearest Neighbor Algorithm (KNN Algorithm) tutorial:
00:00 Introduction to KNN(K Nearest Neighbor)
00:57 Why do we need KNN?
02:33 What is KNN?
03:51 How do we choose the factor 'K'?
05:46 When do we use KNN?
06:42 How does the KNN algorithm work?
09:19 Use case - Predict whether a person will have diabetes or not?
Dataset Link - https://drive.google.com/drive..../folders/1YylTjWxmkU
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When Do We Use the KNN Algorithm?
The KNN algorithm is used in the following scenarios:
✅Data is labeled
✅Data is noise-free
✅Dataset is small, as KNN is a lazy learner
Pros and Cons of Using KNN
✅Pros: Since the KNN algorithm requires no training before making predictions, new data can be added seamlessly, which will not impact the accuracy of the algorithm.
KNN is very easy to implement. There are only two parameters required to implement KNN—the value of K and the distance function (e.g. Euclidean, Manhattan, etc.)
✅Cons: The KNN algorithm does not work well with large datasets. The cost of calculating the distance between the new point and each existing point is huge, which degrades performance.
Feature scaling (standardization and normalization) is required before applying the KNN algorithm to any dataset. Otherwise, KNN may generate wrong predictions.
➡️ About Post Graduate Program In AI And Machine Learning
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Generative Adversarial Network are very popular in the field of Deep Learning. In this video, you will learn what GANs are and understand about Generators and Discriminators. You will understand how GANs works and look at the mathematical equation of GAN. Finally, you will learn the types od GANs and see the different applications of GANs.
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
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Large Language Models Explained | What Is Large Language Model (LLM) | Machine Learning |Simplilearn
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In this video on Large Language Models Explainedwe will go through the basic understanding of what is large language model(LLM) in machine learning. In this machine learning video, we will cover topics like what is LLM, how large language model works, applications of large language models, and many more.
Below are the topics covered in this video:-
00:00 Large Language Models Explained
02:50 What are Large Language Models?
04:03 What are Large Language models used for?
04:27 How LLM trained
07:12 Applications of Large Language Models
🔵What are the large language models?
Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), are advanced artificial intelligence systems designed to understand and generate human-like text. These models are built using deep learning techniques and have been trained on vast amounts of text data from the internet.
🔵What are large language models used for?
Large language models are utilized in scenarios where there is limited or no domain-specific data available for training. These scenarios include both few-shot and zero-shot learning approaches, which rely on the model's strong inductive bias and its capability to derive meaningful representations from a small amount of data or even no data at all.
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➡️ About Post Graduate Program In AI And Machine Learning
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In this Machine Learning with R full course video, you will understand the basics of machine learning and look at the various applications of Machine Learning. You will learn R programming in detail and understand some vital machine learning algorithms, such as linear regression, logistic regression, decision trees, random forests, SVM, and hierarchical clustering techniques.
00:00:00 Machine Learning basics
00:14:25 R Programming
00:32:03 Machine Learning algorithms
05:51:25 Linear regression
06:20:16 Logistic regression
06:38:14 Decision Tree and Random forest
07:47:52 SVM - Support Vector Machine
08:06:56 Clustering
08:48:55Time Series Analysis
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What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. These applications learn, grow, change, and develop when exposed to new data.
What is Supervised Learning?
In supervised learning, we use known or labeled data for the training data. Since the data is known, the learning is supervised, i.e., directed into successful execution. The input data goes through the Machine Learning algorithm and is used to train the model.
What is Unsupervised Learning?
In unsupervised learning, the training data is unknown and unlabeled - meaning that no one has looked at the data before. Without known data, the input cannot be guided to the algorithm, which is where the unsupervised term originates. This data is fed to the Machine Learning algorithm and is used to train the model. The trained model searches for a pattern and gives the desired response. In this case, it is often like the algorithm is trying to break code like the Enigma machine but without the human mind directly involved but rather a machine.
➡️ 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
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✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
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This video on Reinforcement Learning will help you understand the basics of reinforcement learning. You will learn the concepts like reward and states. You will also understand about actions in reinforcement learning. Finally, you'll look at a demo on Tic Tac Toe using Reinforcement Learning in Python.
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=ReinformentLearning--daMfdwpmAg&utm_medium=Description&utm_source=youtube
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This video on Top 10 applications of machine learningwill explain some of the applications of Machine Learning which we come across in everyday life. Machine learning is starting to reshape how we live and it has become a part of our lives. We are already seeing how this technology is being implemented in a wide variety of industries.
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Below are the Top 10 applications of Machine Learningthat were discussed in this video.
00:00 - 00:13 Introduction
00:13 - 00:49 Virtual personal assistants
00:49 - 02:10 Traffic predictions
02:10 - 02:38 Social media personalization
02:38 - 03:11 Email spam filtering
03:11 - 03:48 Online fraud detection
03:48 - 04:05 Stock market trading
04:05 - 05:22 Assistive medical technology
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➡️ Professional Certificate Program In AI And Machine Learning
In collaboration with Purdue, our AI and ML Course will help you unlock your AI and ML potential. You'll study Machine Learning, Deep Learning, Computer Vision, NLP, Speech Recognition, and Reinforcement Learning with Simplilearn's AI ML course online.
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Ever wondered how we can talk to machines and have them answer back? That is due to the magic of NLP. In this video, we will answer the question 'What is NLP?' for you. We will then look at some important steps involved in NLP, all in 5 minutes! Don't forget to take the quiz at 04:07!
00:00:00 Introduction to NLP
00:00:29 What is NLP?
00:01:10 Natural language processing Use-Case(AutoCorrect)
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=NLPin5Min-CMrHM8a3hqw&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
🔥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=ABriefHistoryMachineLearning-lY1SELMvoVs&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=ABriefHistoryMachineLearning-lY1SELMvoVs&utm_medium=Descriptionff&utm_source=youtube
Ever wondered how your favorite technology, or the one you're working on came to be? What and how it changed over the years? These are some of the questions our new series, FlashbackFriday answers. Today, we'll be delving into the history and important milestones of the Machine Learning.
If you are interested to learn more about Machine Learning, check out our Machine Learning playlist here: https://www.youtube.com/watch?v=ukzFI9rgwfU&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy
Learn more about Machine Learning at https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Flashback-Friday-Episode-03-lY1SELMvoVs&utm_medium=Tutorials&utm_source=youtube
To learn more about Machine Learning, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi
#FlashBackFriday #MachineLearning #MachineLearningForBeginners #IntroductionToMachineLearning #HistoryOfMachineLearning #SimplilearnTraining #Simplilearn
➡️ 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 about Java programming at https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Flashback-Friday-Episode-03-lY1SELMvoVs&utm_medium=Tutorials&utm_source=youtube
🔥Free Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=ABriefHistoryMachineLearning&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
🔥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
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🔥Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearning-7JhjINPwfYQ&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 video on What is Machine Learning will make you understand the basics of Machine Learning and how Machine Learning works. By the end of this tutorial, you will be able to understand the different types of Machine Learning algorithms and some of the breakthroughs in the Machine Learning field. You will also learn what machine learning has to offer in terms of career opportunities in this machine learning tutorial.
This Machine Learning tutorial video will cover the following topics:
00:00 - 00:55 Real-life applications of Machine Learning
00:55 - 01:56 Challenges before Machine Learning
01:56 - 02:41 How did Machine Learning evolve?
02:41 - 03:48 Why Machine Learning / Machine Learning benefits
03:48 - 04:48 What is Machine Learning?
04:48 - 05:22 Types of Machine Learning
05:22 - 08:44 Machine Learning algorithms
08:44 - 12:57 Breakthroughs in Machine Learning
12:57 - 14:38 Machine Learning future
14:30 - 15:26 Machine Learning career
15:26 - 17:10 Machine Learning job trends
#WhatisMachineLearing #MachineLearningAlgorithms #Datasciencecourse #datascience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn
What is Machine Learning?
Machine Learning is a method that enables computers to imitate and adapt human-like behaviour, just like you and me. It isn’t programmed to perform a task. It analyses the data it has received previously, learns from it, and makes predictions or decisions for the problem scenario. In a way, the computer is training itself to perform a task the right way, after it learns everything it can from the data.
Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi
You can also go through the Slides here: https://goo.gl/j2N7Yt
Get this presentation on Slideshare - https://www.slideshare.net/secret/CONdhE0NPJekCw
To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=What-is-Machine-Learning-7JhjINPwfYQ&utm_medium=Tutorials&utm_source=youtube
➡️ 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:
🔥Free Machine Learning Course: 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
🔥AI Engineer Specialist: https://l.linklyhq.com/l/1yhn3
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=FeatureSelectioninMachineLearning&utm_medium=Descriptionff&utm_source=youtube
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=23AugustTubebuddyExpPCPAIandML&utm_medium=DescriptionFF&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=FeatureSelectioninMachineLearning&utm_medium=Descriptionff&utm_source=youtube
In Machine Learning, not all the data you collect is useful for analysis. In this video, you will learn about Feature Selection. You will understand the need for feature selection and what is feature selection. You will look at the various feature selection methods and get an idea about feature selection statistics. Finally, you will learn how to select features using a dataset and perform analysis in Python.
00:00:00 What's in it for you
00:00:32 Need for feature selection
00:01:53 What is Feature selection
00:02:55 Feature selection method
00:07:16 Feature selection stats
00:08:06 Demo
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4
#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
🔥Free Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=FeatureSelectioninMachineLearning&utm_medium=Description&utm_source=youtube
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=FeatureSelectioninMachineLearning&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
