Resource of free step by step video how to guides to get you started with machine learning.
Friday, February 18, 2022
#Lec 6: AI Vs Machine Learning Vs Deep Learning with real time examples |Hostbox cse
This video useful for learn Artificial Intelligence. Lecture by Nagarajan.S Artificial Intelligence is the concept of creating smart intelligent machines. Machine Learning is a subset of artificial intelligence that helps you build AI-driven applications. Deep Learning is a subset of machine learning that uses vast volumes of data and complex algorithms to train a model What is Artificial Intelligence is the process of imparting data, information, and human intelligence to machines. The main goal of Artificial Intelligence is to develop self-reliant machines that can think and act like human Ex: Amazon Echo is a smart speaker that uses Alexa, the virtual assistant AI technology developed by Amazon. Amazon Alexa is capable of voice interaction, playing music, setting alarms, playing audiobooks, and giving real-time information such as news, weather, sports, and traffic reports What is Deep Learning? subset of machine learning that deals with algorithms inspired by the structure and function of the human brain. Algorithms can work with an enormous amount of both structured and unstructured data The major difference between deep learning vs machine learning is the way data is presented to the machine. Machine learning algorithms usually require structured data, whereas deep learning networks work on multiple layers of artificial neural networks. #Tutorial for operating system(GATE/UGC/NET) https://www.youtube.com/playlist?list=PLXoVVqHAvpMnZNw-hxOoSy1yNcCaf9Xnv #Tutorial for Computer Networks(GATE/UGC/NET) https://www.youtube.com/playlist?list=PLXoVVqHAvpMmpoPznn25CK3oexZvumBEq #Tutorial for Java Beginners(GATE/UGC/NET) https://www.youtube.com/playlist?list=PLXoVVqHAvpMkQxAB_GNLoKayGC_z6K96c #Tutorial for C programming(GATE/UGC/NET) https://www.youtube.com/playlist?list=PLXoVVqHAvpMmPzruQ4UrpylfwBnIPCHJJ #Tutorial for Artificial Intelligence(GATE/UGC/NET) https://www.youtube.com/playlist?list=PLXoVVqHAvpMldDE1F8F1eTz2ke-0LYnuq #Tutorial for Computer Organization/Architecture(GATE/UGC/NET) https://www.youtube.com/playlist?list=PLXoVVqHAvpMk9N8Bq3tqHpMnb1p1mX4CQ #Tutorial for Python Beginners https://www.youtube.com/playlist?list=PLXoVVqHAvpMlxyO5SWVCUoze0GtMWnkYt #Tutorial for Python Interview Q& A by Mr.Uday https://www.youtube.com/playlist?list=PLXoVVqHAvpMmeNc0x7hQphOp8T-56aA-L #Tutorial for Computer Organization(GATE/UGC/NET) https://www.youtube.com/playlist?list=PLXoVVqHAvpMl-OUrtyysPSpzBuKtrPAG_
Subscribe to:
Post Comments (Atom)
-
JavaやC++で作成された具体的なルールに従って動く従来のプログラムと違い、機械学習はデータからルール自体を推測するシステムです。機械学習は具体的にどのようなコードで構成されているでしょうか? 機械学習ゼロからヒーローへの第一部ではそのような疑問に応えるため、ガイドのチャー...
-
Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow) [Collection] In a special live ep...
-
#minecraft #neuralnetwork #backpropagation I built an analog neural network in vanilla Minecraft without any mods or command blocks. The n...
-
Using More Data - Deep Learning with Neural Networks and TensorFlow part 8 [Collection] Welcome to part eight of the Deep Learning with ...
-
Linear Algebra Tutorial on the Determinant of a Matrix 🤖Welcome to our Linear Algebra for AI tutorial! This tutorial is designed for both...
-
STUMPY is a robust and scalable Python library for computing a matrix profile, which can create valuable insights about our time series. STU...
-
❤️ Check out Fully Connected by Weights & Biases: https://wandb.me/papers 📝 The paper "Alias-Free GAN" is available here: h...
-
Why are humans so good at video games? Maybe it's because a lot of games are designed with humans in mind. What happens if we change t...
-
Visual scenes are often comprised of sets of independent objects. Yet, current vision models make no assumptions about the nature of the p...
-
#ai #attention #transformer #deeplearning Transformers are famous for two things: Their superior performance and their insane requirements...
No comments:
Post a Comment