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5 Basic Concepts to Become a Machine Learning Expert
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5 programing language for blockchain
Hai friends👋 welcome back to my blog today we going to see about Flash news: wow😱 we reached 50000 views thanks for all 50000+ viewer and you 5 programing language for blockchain Introduction : Blockchain development has revolutionized various aspects of technology. It has a wide range of applications especially the ones that involve data storage and manipulation. Currently, blockchain is one of the most-sought technology. Everyone is looking to incorporate it into their products. Just like most technologies, the root of blockchaindevelopment is programming languages. A programming language must be used to design, configure and develop the functionality of this technology. So, which programming languages are necessary for this technology? If you have the desires of getting into blockchain programming, try to master the following programming languages. Click here 👍for 5 programing language for Artificial intelligence🤖 1. C++ C++ was created
Five must skill for learn machine learning
Five must skill for learn machine learning
5 Best programming languages for AI
Health technology🤔
Page views Health tech The definition of Health Tech, or digital📺 health, is the use of technology (databases, applications, mobiles📱, wearables) to improve the delivery, payment, and/or consumption of care, with the ability to increase the development and commercialization of medicinal products. Some examples for health tech 1.GPS patches Miniature sensors embedded in the skin of patients have been tested since 2011 to monitor and locate disabled people and Alzheimer sufferers. 2.Communicating pens, telemonitoring and videoconference patients on dialysis French charity Calydial received the innovation prize at last year’s HIT (Health Information Technologies) fair for its telemedicine projects, which include monitoring patients with kidney failure. Calydial’s doctors can remotely monitor patients undergoing dialysis, live, thanks to a system of surveillance cameras set up by the patients’ bedside. 3. 3D Printing Originally used primarily in man
Drone vs Eagle
Conversation between drone and Eagle Hai friends 👋 welcome back to new article Drone.🚡: hi 👋 eagke s that I look like you and I can also fly like you . Eagle🦅: Ahh!😱 How this is possible I think birds only fly but now you can also.can you explain how? Eagle🦅: don't get more excited i will tell one by one. Drone🚡: Are you know? The birds are fly because they are light in their weight. So we are made up of material which are less in weight such as aluminum and alloy. Eagle🦅: ohh! So you light in weight . But we have wings to fly . Do you know our wings have features and strong muscles attached to the body with help of strong arm and chest muscles we can flap with wings and fly🕊️ Drone🚡: You using wings to fly . We using propeller blade on the four side my body and blade push air down by using Newton third law (Every action have an
Machine learning
Google self-driving car
Note :This article contains special characters, emoji. Without proper rendering support, you may see question marks, boxes, or other symbols. 🚙Google self-driving car Hai 🙋 friends today we going to see the conversation between me and Google self-driving car so let's drive in to the conversation 🚑 🚒 🚙 🚜 🚕 (When i am waiting for bus in bus stand i saw a google self-driving car and the conversation Start ) Me😎: Hai Google self driving car Google self-driving car🚔: Hai man Me😎: can you drop me on my home🏣 Google self-driving car🚔 : yes I can ok let's go so where is your home 🏣?can you mark the location on Google Map🗺️ Me😎: this is my location Google self-driving car🚔: So let's go Me😎: I have a question how you know what objects are in your surrounding? Google self-driving car🚔: I am using laser beams🚨,360 rotating camera📷 in top of my roof and sensor in front and back . By using
Deep learning
Types of Machine Learning
Types of Machine Learning Machine learning algorithms can be divided into three broad categories: Supervised learning : The computer is presented with example inputs and their desired outputs, and the goal is to learn a general rule that maps inputs to outputs. An example is an email spam filter. Unsupervised learning : No labels are given to the learning algorithm, leaving it on its own to find structure in its input (discovering hidden patterns in data). For example, imagine having data about all cars and their buyers. The system can find patterns and identify that, for example, people in the suburbs prefer SUVs with petrol engines, but people who live near to downtown, prefer smaller electrical cars. Knowing this can help the system predict who will buy which car. Reinforcement learning : A computer program interacts with a dynamic environment in which it must perform a certain goal (such as driving a vehicle or playing a game against an opponent). The progra