The future is enhanced with the AI and its technology. Here i write a few points about artificial intelligence, its concepts, uses and its applications.Hope it might be useful for your learning
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Robotic Process Automation (RPA) Basics in Automation Anywhere tool Part 1 This video explained about the RPA with cognitive automation. It improves processes on its own to achieve improved speed and accuracy with near-zero error rates, and lower costs.
This mini documentary takes a look at Elon Musk and his thoughts on artificial intelligence. Giving examples on how it is being used today – from Tesla cars to Facebook, and Instagram. And what the future of artificial intelligence has in store for us – from the risks and Elon Musk’s Neuralink chip to robotics. The video will also go over the fundamentals and basics of artificial intelligence and machine learning. Breaking down ai for beginners into simple terms – showing what is ai, along with neural nets. Elon Musk’s Book Recommendations (Affiliate Links) • Life 3.0: Being Human in the Age of Artificial Intelligence • Our Final Invention: Artificial Intelligence and the End of the Human Era • Superintelligence: Paths, Dangers, Strategies Other topics covered in this video include: • Elon Musk’s motivation for building Neuralink, testing with pigs first before humans • The risks of artificial intelligence and the ethics behind it • How Tesla cars use artificial intelligence for autopilot (using cameras, sensors, and radar) • Elon Musk’s OpenAi company he started – acting as a research lab for ai • The books Elon recommends for understanding artificial intelligence • Breaking down the basic branches of ai (computer vision, speech recognition, natural language processing, pattern recognition, and machine learning)
Confused about understanding machine learning models? Well, this video will help you grab the basics of each one of them. From what they are, to why they are used, and what purpose do they serve. 7 Basic Machine Learning Concepts for Beginners What is Deep Learning and How it Works | Deep Learning Explained Machine Learning Model Deployment Explained What is Neural Network and How it Works | Neural Network Explained After watching this video, you’ll be able to answer, – How many machine learning models are there – Some common machine learning models explained – What is supervised learning – What is unsupervised learning – What is regression – Types of ml models – Common types of regression – Common types of classification – What is classification – What are popular ML models explained – What are the types of supervised learning – What are the types of unsupervised learning – Understanding the basics of machine learning models – Learn machine learning models from scratch – What are common machine learning models for beginners – Understand machine learning models overview – Whats are few ml models basics to grasp Obviously, there is a ton of complexity if you dive into any particular model, but this should give you a fundamental understanding of how each machine learning model works! Read the full blog on Like my content? Be sure to smash that like button and hit Subscribe to get the latest updates! Let’s get social! [More]
Let’s learn the basics of personalizing with artificial intelligence. To learn more, visit: Learn more about Salesforce: Website:​​​ Facebook:​​​ Twitter:​​​ Instagram:​​​ LinkedIn:…​ About Salesforce: Salesforce is a customer relationship management solution that brings companies and customers together. It’s one integrated CRM platform that gives all your departments — including marketing, sales, commerce, and service — a single, shared view of every customer.
Computer Networks: Basics of Cisco Packet Tracer (Part 1) Topics discussed: 1) The download procedure of Cisco Packet Tracer. 2) The basics of Cisco Packet Tracer. 3) Example packet tracer peer-to-peer network. Follow Neso Academy on Instagram: @nesoacademy ( Contribute: Memberships: Books: Website ► Forum ► Facebook ► Twitter ► Software source: Music: Axol x Alex Skrindo – You [NCS Release] #ComputerNetworksByNeso #ComputerNetwork #CiscoPacketTracer
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo. INFO: Website: GitHub: Slides: Playlist: Blog post: OUTLINE: 0:00 – Introduction 0:53 – Deep learning in one slide 4:55 – History of ideas and tools 9:43 – Simple example in TensorFlow 11:36 – TensorFlow in one slide 13:32 – Deep learning is representation learning 16:02 – Why deep learning (and why not) 22:00 – Challenges for supervised learning 38:27 – Key low-level concepts 46:15 – Higher-level methods 1:06:00 – Toward artificial general intelligence CONNECT: – If you enjoyed this video, please subscribe to this channel. – Twitter: – LinkedIn: – Facebook: – Instagram:
This will help you to learn how artificial intelligence is improving our lifestyle daily. What are the types of artificial intelligence? How can artificial intelligence will be creative and mimic humans. How we are transforming our all dependencies on Artificial Intelligence. So watch complete video.
Not sure what natural language processing is and how it applies to you? In this video, we lay out the basics of natural language processing so you can better understand what it is, how it works, and how it’s being used in the real world today. To learn more on how SparkCognition is taking artificial intelligence into the real world, check out our DeepNLP solution:
This Machine Learning basics video will help you understand what is Machine Learning, what are the types of Machine Learning – supervised, unsupervised & reinforcement learning, how Machine Learning works with simple examples, and will also explain how Machine Learning is being used in various industries. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results. Machine learning is starting to reshape how we live, and it’s time we understood what it is and why it matters. Now, let us deep dive into this short video and understand the basics of Machine Learning. Below topics are explained in this Machine Learning basics video: 1. What is Machine Learning? ( 00:21 ) 2. Types of Machine Learning ( 02:43 ) 2. What is Supervised Learning? ( 02:53 ) 3. What is Unsupervised Learning? ( 03:46 ) 4. What is Reinforcement Learning? ( 04:37 ) 5. Machine Learning applications ( 06:25 ) Subscribe to our channel for more Machine Learning Tutorials: Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning, and follow the path towards your dream [More]