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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.
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#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.
➡️ 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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Shane Legg, the visionary founder of Deepmind has just dropped a bombshell: he envisions DeepMind achieving Artificial General Intelligence, or AGI, by the year 2028. This announcement comes as a seismic shift in the AI landscape, setting the stage for a future where machines possess human-level cognitive abilities. The implications are nothing short of revolutionary, promising to reshape industries, economies, and the very fabric of our existence!
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Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.
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TIMESTAMPS:
00:00 AGI By 2028 confirmed
01:10 Deepmind is working towards AGI
05:04 How AGI will be created
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#deepmind #ai #agi
Data Blending in Tableau |Data Blending vs Data Joining in Tableau |Tableau Training |Edureka Rewind
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/tableau....-certification-train (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on "Data Blending in Tableau" talks about a method for combining data when there is related data in multiple data sources, which you want to analyze together in a single view. Tableau has two inbuilt data sources named Sample-superstore and Sample coffee chain.mdb which will be used to illustrate data blending.
We shall discuss the following topics:
00:00:00 Introduction
00:01:10 Objective of data blending
00:03:53 Introduction to Data Blending
00:04:12 Joining vs Blending
00:07:12 Blending in Tableau
00:10:13 Limitations of Data Blending
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Machine Learning helps you build models that can make predictions and take decisions of their own. This video on Types of Machine Learning and Algorithms will make you understand what Machine Learning is and the various types of Machine Learning. You will learn about Supervised, Unsupervised, and Reinforcement learning. You will know how they work and how to choose the right Machine Learning algorithm. Finally, we'll implement a Machine Learning project/ hands-on demo using Python.
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#TypesOfMachineLearning #MachineLearningAlgorithms #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #SimplilearnMachineLearning #MachineLearningCourse
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=TypesofMachineLearning&utm_medium=Description&utm_source=youtube
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This video will be focusing on a free and open-source framework known as Streamlit and will be providing a complete guide on a Streamlit tutorial. We will also be looking at how to build a Machine Learning Application using Streamlit. let's begin your journey on streamlit with Intellipaat.
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Intellipaat is a global online professional training provider. We are offering some of the most updated, industry-designed certification training programs which includes courses in Big Data, Data Science, Artificial Intelligence and 150 other top trending technologies.
We help professionals make the right career decisions, choose the trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape.
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Dive into the world of Database Management Systems (DBMS) with this easy-to-follow Introduction To DBMS tutorial! We'll explain what DBMS is and why it's important. Learn about different types of databases like Relational, NoSQL, Object-oriented, Hierarchical, and Network databases. Each type has unique features that make them useful for different tasks. We'll also cover basic DBMS concepts such as tables, rows, and columns, primary and foreign keys, and how indexes and queries work. Plus, find out about future trends like Big Data, distributed and cloud databases, and how machine learning is changing the way we manage data. This video uses simple language and clear visuals to make complex ideas easy to understand. Whether you're new to databases or just want to learn more, this tutorial is perfect for you. Watch now and start your journey to mastering DBMS!
In this Introduction To DBMS video, we cover the following topics:
00:00:06 Introduction
00:00:29 Introduction to Databases
00:01:58 What is DBMS?
00:03:28 Components of DBMS
00:04:55 Functions of DBMS
00:05:43 Advantages of Using DBMS
00:06:56 Types of DBMS
00:09:25 Common Use Cases of DBMS
00:11:09 Future Trends in DBMS
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➡️ About SQL Certification Course
This SQL certification course gives you all of the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn how to correctly structure your database, author efficient SQL statements and clauses, and manage your SQL database for scalable growth.
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Covers basic to advanced SQL concepts
Dedicated live sessions by faculty of industry experts
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Hands-on projects for real-world application
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Industry-recognized certificate upon completion
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- SQL
- Database Management System DBMS
- RealWorld Problem Solving
- MySQL
- Data Analysis
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This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!
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How it Works?
1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. 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
Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.
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Why Learn Data Science?
Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.
After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R
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Who should go for this course?
The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. 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. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies
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Customer Reviews:
Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
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.
00:00 Introduction
00:18 Agenda
02:35 Introduction to NLP
04:08 Ways to process Text Data
05:55 Recurrent Nuetral Networks
16:06 Long Short-term Memory
17:17 LSTM Use Cases
18:15 Name Entity Recognition
20:55 Sentiment Analysis
22:50 Machine Translation
24:19 Hands-on
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝
-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------
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---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬---------
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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
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NIT Warangal: https://bit.ly/3Kji6bb
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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr
📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_lea...
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?count...
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/
About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, in this Machine Learning with Python Training, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.
What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous.
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In this video, we're going to dive into the details of three popular ways to store data: databases, data lakes, and data warehouses. These terms are often thrown around in the tech world, especially during job interviews, so it's important to know what each one means and how they differ. We'll start off by explaining what each of these data storage options is and highlight their main features. Next, we'll look at the advantages and disadvantages of using each type of storage solution, helping you understand when and why you might choose one over the others. We will also compare how each system handles data. This includes discussing how they manage various forms of data, from well-organized structured data to more flexible semi-structured data and even unstructured data, which can be more complex to organize. After that, we'll go over some typical uses for databases, data lakes, and data warehouses, sharing examples to show how each is applied in real-life situations. By the end of this video, you'll have a solid grasp of the key differences between a database, a data lake, and a data warehouse. This knowledge will not only boost your understanding but also prepare you to discuss these topics confidently in job interviews.
00:00:00 - Introduction to Data Storage
00:01:58 - What is a Database?
00:03:37 - What is a Data Warehouse?
00:05:29 - What is a Data Lake?
00:07:14 - A Quick Recap
00:09:32 - Factors to Consider to Choose the Right Platform
You can also go through the slides here: https://www.slideshare.net/sli....deshow/database-vs-d
✅ Is BigQuery a data lake or data warehouse?
BigQuery is a data warehouse. It is a fully managed, serverless, highly scalable, and cost-effective multi-cloud data warehouse offered by Google Cloud. BigQuery is designed for analyzing large datasets quickly and efficiently using SQL queries.
✅ Is data lake SQL or NoSQL?
A data lake itself is neither SQL nor NoSQL; rather, it is a storage repository designed to hold large amounts of raw data in its native format, including structured, semi-structured, and unstructured data. The type of data stored in a data lake can vary, and both SQL and NoSQL databases can be part of a data lake ecosystem.
✅ Does data lake use ETL?
Yes, data lakes use ETL (Extract, Transform, Load) processes, but they can also use ELT (Extract, Load, Transform) processes.
✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
#Database #DataLake #DataWarehouse #CloudComputing #2024 #simplilearn
➡️ About AWS Cloud Practitioner Course
AWS Cloud Practitioner course is for individuals seeking an overall understanding of Amazon Web Services Cloud, independent of specific technical roles. To build AWS Cloud knowledge, you will learn about AWS Cloud concepts, services, security, architecture and support. This course also helps prepare for the AWS Certified Cloud Practitioner exam.providers: Microsoft Azure, AWS, and GCP.
✅ Key Features
- Official AWS live class training content
- Self-paced learning videos authored by AWS
- Live online training from AWS Authorized Instructors
- 1-day Instructor-Led Training Course for accelerated learning
✅ Skills Covered
- AWS Cloud Adoption Framework
- AWS Global Infrastructure
- AWS data migration solutions
- Storage and databases
- AWS IAM security levels
- AWS Compute Services
- Amazon Cloud
- Front and Edge locations
- Networking concepts
- Payasyougo pricing model
- AWS pricing models and support
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This Introduction to Artificial Intelligence Full Course by Simplilearn provides a complete roadmap to mastering AI. It begins with an introduction to artificial intelligence, its future, and essential concepts like machine learning, deep learning, and generative AI. You’ll explore AI careers, the AI engineer roadmap, and how to land a job in this field. Dive into practical tutorials on using AI for coding, creating digital products, and building websites. Advanced topics include transformers, reinforcement learning, Q-learning, and LangChain. You’ll learn about AI bias, multimodal AI, and concepts like LLMs, benchmarking, and running models privately. The course also covers prompt engineering, data analytics with AI, and AI-powered tools like Cursor AI. Additionally, you’ll get hands-on with projects for beginners, including machine learning and AI, and explore top hackathons in India. Finally, you’ll gain insights into interview preparation and how to earn money using tools like ChatGPT.
00:00:00 Introduction To Artificial Intelligence Full Course
00:08:08 Introduction To Artificial Intelligence
00:17:14 Future Of Artificial Intelligence
00:24:13 Deep Learning Tutorial For Beginners
00:36:17 Best Artificial Intelligence Coding tools
00:45:55 Top 10 Technologies To Learn
00:52:37 Artificial Intelligence Careers Tutorial
01:04:31 How Create And Sell Digital Products Using AI
01:05:16 What Is Generative AI
01:15:48 Artificial Intelligence Engineer Roadmap
01:30:53 How To Get A Job In Artificial Intelligence
02:27:30 What Is Machine Learning
02:33:11 AI Bias
02:38:53 Open AI Strawberry
02:45:04 Difference between Artificial Intelligence, Machine Learning, And Deep Learning
02:46:11 Run Lama Privately
02:54:55 Introduction To LLM
03:08:24 LLM Benchmarkeing
03:14:01 Mutimodel Artificial Intelligence
03:33:52 Chatgpt Analyse Tutorial
03:34:53 Transformers In Artificial Intelligence
06:59:07 Reinforcement Learning
06:59:57 Q Learning
07:22:58 Langchain Explained
07:37:26 What Is Prompt Engineering
07:59:49 Data Analytics Using Artificial Intelligence
08:01:31 Cursor AI
10:17:41 Recurrent Neural Network
10:35:26 Machine Learning Projects For Beginners
11:01:07 Build Website With Artificial Intelligence
11:19:18 Confusion Matrix In Machine Learning
11:27:32 Top Hackathons In india
11:40:51 Artificial Intelligence Projects With Source Code For Beginers
11:46:00 Generative AI Tools For Job Interview
13:41:50 Artificial Intelligence and Deep learning Interview Questions
13:42:50 How To Earn Money Using ChatGPT
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⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq
https://www.reddit.com/r/Simpl....iLearn/comments/1bpr
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➡️ About Post Graduate Program In AI And Machine Learning
✅ 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
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Blue - Yung Kai💗Best OPM Tagalog Love Songs With Lyrics💗OPM Trending 2024 Playlist #vol1 #opmsongs
👉https://youtu.be/tqv99O4qixQ
Tracklist:
[00:00:00] 01. Blue - Yung Kai
[00:03:17] 02. Sining - Dionela ft. Jay R
[00:06:06] 03. Palagi - TJxKZ Version
[00:10:04] 04. I Need You - Arthur Miguel
[00:12:53] 05. Maybe This Time - Sarah Geronimo
[00:16:13] 06. Dilaw - Maki
[00:19:43] 07. Randomantic - James Reid
[00:23:24] 08. This Na Malambing - Ryannah J, Nateman
[00:27:45] 09. Oksihina - Dionela
[00:31:13] 10. Raining in Manila - Lola Amour
[00:34:23] 11. Tadhana - KZ Tandingan
[00:37:21] 12. Muli - Ace Banzuelo
[00:40:21] 13. Mahal Pa Rin Kita - Rockstar
[00:46:01] 14. Kung San Ka Masaya - Bandang Lapis
[00:50:27] 15. Umaasa - Calein
[00:53:18] 16. Babaero - gins&melodies Ft. Hew Abi
[00:56:03] 17. Nang Dumating Ka - Bandang Lapis
[01:02:05] 18. Huling Sandali - December Avenue
[01:07:43] 19. Unang Sayaw - Nobita
[01:10:53] 20. Biyahe - Josh Santana
Welcome to my channel!
On this channel, you'll find a compilation of the most popular and in-demand tracks that are taking the Philippines by storm.
Stay tuned for regular updates as I keep a close eye on the latest trends and releases, ensuring that you never miss out on the hottest songs and artists.
If you're a music lover who wants to stay ahead of the curve and discover the next big hit, you've come to the right place. Don't forget to hit that subscribe button and join our community of passionate music enthusiasts. Get ready to groove and enjoy the best of trending music on YouTube Philippines!
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In this video, Top 10 No-Code App Builders in 2025, we explore the best platforms that let you create apps without writing any code. No-code tools have become more powerful, allowing anyone—from beginners to businesses—to build mobile and web apps easily. We’ll start by explaining how no-code platforms work, from setting up a database to designing your app and automating workflows. Then, we’ll dive into the top 10 no-code app builders, including Softr, Bubble, Glide, Adalo, and more. Some platforms are great for beginners, while others offer advanced features to build full-scale applications. Whether you want to launch a simple project, create a business tool, or build a scalable app, this video will help you find the best platform. No-code is changing the way apps are built, making development faster and more accessible.
00:00:00 – Introduction
00:01:15 – Step 1: Creating a Database
00:01:30 – Step 2: Building the User Interface
00:01:45 – Step 3: Logic and Automation
00:01:48 – 1. Softr
00:07:14 – 2. Bubble
00:11:15 – 3. Glide
00:14:52 – 4. Adalo
00:16:52 – 5. Backendless
00:18:54 – 6. Quickbase
00:20:06 – 7. Zapier Interfaces
00:22:17 – 8. FlutterFlow + Firebase
00:24:34 – 9. WeWeb + Xano
00:26:20 – 10. Bravo Studio
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➡️ 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
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Highlight: At 33:30 Josh Starmer, Statsquatch, and the Normalsaurus from @statquest have an awesome cameo!
Get 20% off NVIDIA certification exams using the code "TechWithTim20" from here: https://nvda.ws/46Sehq8
Today we're diving deep into one of the hottest topics in AI right now. Building actual agents in Python. Not just chat bots to respond to your queries, but autonomous systems with memory goals and the ability to take actions in the world.
Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter
⏳ Timestamps ⏳
00:00 | AI Agents
00:37 | NVIDIA Free AI Courses
01:38 | AI Agent Building Blocks
05:30 | Python Frameworks
09:01 | Python Tools
09:40 | AI Agent Patterns
13:15 | Picking Your Stack
Hashtags
#Nvidia #AiAgents #Python
Welcome to the ultimate Claude Code Full Course! 🤯 In this video, we are building a fully autonomous AI Marketing Officer completely from scratch.
If you are looking for a Claude Code Crash Course for Beginners NOW, this is it. This Claude Code tutorial works as a complete Claude Code beginners guide, walking you through how to setup Claude Code in VS Code (Visual Studio Code). By the end of this video, you'll have a system where you can type one sentence, and Claude will research the topic, draft a week's worth of content (including visuals), and schedule it across your social media platforms.
This isn't just a coding tutorial; it’s a guide on how to use AI to have leverage and scale yourself. Whether you are wondering about Claude Code vs n8n for automation or just want to Master Claude Code in a few hours, this build-along guide covers it all.
In this deep-dive tutorial, we cover:
Claude Code Setup: Installing Claude Code, VS Code, and handling permissions safely.
Skills: Creating custom skills to generate posts from YouTube videos.
Brand Voice: Teaching the AI to write like you (or like Alex Hormozi/Justin Welsh).
Quality Gates: Using hooks to automatically check for bad formatting or banned words.
Sub-Agents: Running parallel agents to post to Twitter and LinkedIn simultaneously.
Claude Code Tips: Essential tricks from 500+ hours of usage.
Don't start your Claude Code course without watching this practical example of building a real-world tool using the Blotato API.
Timestamps
00:00 - Claude Code Full Course Intro & Demo
00:49 - Course Outline: Building an AI Marketing Officer
03:15 - How to Install Claude Code & VS Code Setup
06:34 - Managing Permissions & Safe Mode Prompts
09:24 - Claude Code Modes: Plan Mode vs. Edit Mode
11:23 - Managing Context Windows & Models (Opus 4.6)
13:09 - Building Skill #1: The Social Media 'Post' Skill
16:46 - Integrating the Blotato API for Visuals
24:00 - Testing the Post Skill with a YouTube Video
27:10 - Debugging Live: Handling API Errors
30:39 - Generating Content from Perplexity Search
32:35 - Adding Brand Voice (Alex Hormozi & Justin Welsh Styles)
36:51 - Setting up Quality Gates & Hooks (Validating Posts)
42:19 - Creating Sub-Agents for Cross-Platform Publishing
45:08 - Testing Parallel Publishing (Twitter & LinkedIn)
49:57 - Building Skill #2: The 'Plan Week' Automation
53:38 - Setting up Scheduling Slots for Batch Content
59:00 - Analyzing a 2-Hour Video for Content Angles
01:02:00 - Reviewing the Full Weekly Content Plan
01:07:54 - Creating the CLAUDE.MD Documentation File
01:11:36 - Next Steps & Repurposing this Tool
#ClaudeCode #AIAutomation #n8n
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I'm Sabrina Ramonov. I'm on a mission to teach 1 million people AI. I'm also the solo founder of Blotato.com. It's a SaaS app for creators/entrepreneurs to go viral faster with AI, just like me (0 to 500k+ in 6 months solo).
How I got here…
0: Born in Quezon City, Philippines 🇵🇭
22 yrs old: Graduated UC Berkeley with degrees in Computer Science and Physics... and $250k in student loans.
23 yrs old: Started Qurious, as Founder/CEO, doing natural language processing (AI) in healthcare.
25 yrs old: Closed pilots with billion-dollar pharmaceutical companies, but failed to reach product market fit.
26 yrs old: Pivoted Qurious a lot, then settled on real-time call guidance for sales and customer support, combining streaming speech recognition (AI) and natural language processing (AI).
28 yrs old: Made the Forbes 30 Under 30 list, while living in a living room of 2BR San Francisco apartment.
30 yrs old: Sold 100% of Qurious to Pegasystems (NASDAQ: Pega) in cash and stock deal ($10M+ total).
31 yrs old: Integrated Qurious with Pegasystems Customer Service to launch Pega Voice AI, now used by 1000s of support agents.
32 yrs old: Started angel investing in VC/seed funds, crypto, and passion areas 🍄 while recovering from burnout by hiking, skiing, and reading. Dropped 50 lbs to get back in shape.
33 yrs old: Started making free content to teach 1 million people AI.
34 yrs old: 0 to 500k+ followers in 6 months with $0 budget, 0 team, $0 paid ads, 0 masterminds.
Today: Started https://Blotato.com to distribute 100+ pieces of content per week. 1000s of creators & entrepreneurs use Blotato to go viral faster with AI.
Get FREE AI prompts, playbooks, and agents 👉 https://sabrina.dev/p/free
📢 Access top AI models and creators like Anthropic’s Claude, OpenAI’s GPT, Meta’s Llama, DeepSeek, Moonshot AI’s Kimi, plus image generation with Black Forest Labs (Flux) and Recraft — all in one place with Mammouth starting at just $10/month: https://mammouth.ai
Anthropic is back with massive upgrades to Claude Code! From Claude Code Security to Claude Engineer and built-in git worktree support, this update takes AI-assisted development to the next level.
🔗 My Links:
Sponsor a Video or Do a Demo of Your Product, Contact me: [email protected]
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Something coming soon :) https://www.skool.com/worldofai-automation
[Must Watch]:
Gemini 3.1 Pro Is Google's Greatest Model Ever! Most Powerful AI EVER! (Fully Tested): https://youtu.be/_uQKI-NOCFg
Claude Code + Figma MCP Is The Greatest AI Design System I've Ever Used!: https://youtu.be/mBJNfze9H0I
Claude Sonnet 4.6: The Best AI Coding Model Ever! 1M Context, Cheap, & More! (Fully Tested): https://youtu.be/enoBTzLziEs
📌 LINKS & RESOURCES
Claude Code Desktop: https://claude.com/download
Claude Code Secruity: https://www.anthropic.com/news..../claude-code-securit
Waitlist: https://claude.com/contact-sales/security
Boris Thread On Worktrees: https://x.com/bcherny/status/2025007393290272904
In this video, we dive into:
Claude Code Desktop Preview – Spin up apps, iterate, and preview running servers in real time
PR & CI Monitoring – Auto-fix failures, auto-merge PRs, and keep working on your next task while Claude handles the last one
Session Mobility – Move CLI sessions to desktop, cloud, web, or mobile
Claude Code Security – Scan for vulnerabilities, suggest patches, and review fixes with human oversight
Git Worktree Support – Run multiple agents in parallel without interference
Anthropic is clearly reshaping software engineering, automating complex tasks, and helping developers work smarter, faster, and safer. Don’t miss this deep dive into everything new!
Tags/Keywords:
Claude Code, Claude Code Desktop, Claude Code Security, Claude Engineer, Anthropic AI, AI coding assistant, AI software engineer, PR monitoring, CI automation, frontend development AI, git worktree, session mobility, code review AI, AI dev tools, Opus 4.6, AI cybersecurity, code vulnerability scanner
Hashtags:
#ClaudeCode #AnthropicAI #AICoding #SoftwareEngineering #CodeSecurity #AIEngineer #GitWorktree #CI #DevTools #AIProductivity
MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6
Introduction to natural language processing, including vectorization, the bag-of-words model, and includes demonstration in CoLab.
License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
Lets Make a Question Answering chatbot using the bleeding edge in deep learning (Dynamic Memory Network). We'll go over different chatbot methodologies, then dive into how memory networks work, with accompanying code in Keras.
Code + Challenge for this video:
https://github.com/llSourcell/....How_to_make_a_chatbo
Nemanja's Winning Code:
https://github.com/Nemzy/langu....age-translation/blob
Vishal's Runner up code:
https://github.com/erilyth/Dee....pLearning-Challenges
Web app to run the code yourself:
https://ethancaballero.pythonanywhere.com
Please subscribe! And like. And comment. That's what keeps me going.
More Learning resources:
https://www.youtube.com/watch?v=FCtpHt6JEI8&t=643s
https://www.youtube.com/watch?v=Qf0BqEk5n3o&t=637s
https://yerevann.github.io/201....6/02/05/implementing
https://www.youtube.com/watch?v=2A5DKPA5lAw
http://www.wildml.com/2016/01/....attention-and-memory
https://github.com/domluna/memn2n
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