Artificial Intelligence is making rapid growth in different industries with the potential to change the way of delivering services with more accuracy and without the involvement of humans. There are several intelligent systems currently in use to make people’s lives easier. Similarly, the health industry is one of the fastest-growing industries around the globe. AI and the … [Read more...] about Use of Robotic Surgery in Healthcare
Machine Learning
AI in Agriculture market is projected to reach US$ 3013 million during the forecast period 2020…
According to BlueWeave Consulting, The Global AI in Agriculture market is projected to reach the valuation of US$ 3013 million by the year 2026 by growing at a CAGR of 21.6%. This can be attributed to factors such as rising demand for agricultural production, increased adoption of advanced technologies and smart sensors, rapid demand for drones in farms, and increased need for … [Read more...] about AI in Agriculture market is projected to reach US$ 3013 million during the forecast period 2020…
Klasifikasi dan Perhitungan Kendaraan dengan Algoritma Deep Learning YOLOv4 dan Darknet
Halo semua! Sekarang kita akan lanjut lagi nih pembahasan mengenai algoritma Deep Learning YOLO versi keempat, setelah kita mengetahui keunggulan YOLOv4 dibandingkan versi sebelumnya, dan sudah mencoba berbagai aplikasi dengan YOLOv4, sekarang kita akan coba implementasikan proses klasifikasi dan menghitung kendaraan. Contohnya kita bisa lihat aplikasi Vehicle Counting … [Read more...] about Klasifikasi dan Perhitungan Kendaraan dengan Algoritma Deep Learning YOLOv4 dan Darknet
How to simplify dataset in data mining
Since data is the important thing in machine learning, the first time that we should do is simplifying the data that we have collected. Because almost all the data we get at the beginning is still messy and a lot of noise. That means we have to filter the large data that we have obtained so that it can be processed later. Here are the following steps you can take to simplify … [Read more...] about How to simplify dataset in data mining
Low-Code AI in Enterprise: Benefits and Use Cases
Software and apps rule the world today, and for your business to succeed, it has to keep pace with the trend. But designing and launching a new solution takes time and money. Can a modest start-up or a business with a variety of needs get solutions quicker and more affordably? The answer to this challenge is low-code AI — a game-changer in artificial intelligence simplifying … [Read more...] about Low-Code AI in Enterprise: Benefits and Use Cases
#TIL: Day #2 with Machine Learning. Machine Learning Systems’ Types
There are many different types of Machine Learning systems base on each criterion.This criterion has 4 main types: supervised, unsupervised, semi-supervised, and reinforcement learning.Supervised LearningAs the name indicates, supervised learning has the presence of a supervisor as a teacher. We train our program using data that is “well labeled” — data is tagged with the … [Read more...] about #TIL: Day #2 with Machine Learning. Machine Learning Systems’ Types
The role of Regularization in Linear Regression Models
One of the most simple algorithms out there is linear regression, and it comes in handy when trying to model a linear relationship between features and targets.When implementing some learning algorithm is quite reasonable to think about a cost (or risk) function to transform a problem of finding the right coefficients to fit the regression hyperplane into an optimization … [Read more...] about The role of Regularization in Linear Regression Models
All about the Vaginal Flora.
What’s something that’s in you, all over you, and is your signature ?It digests your food, affects your mood, and provides a fighting snood?Source : https://www.sciencephoto.com/It’s your microbiome. We harbor trillions of microbes in our bodies. These microbes have a profound role in human health and every one of our microbiomes are unique. The microbiome is the genetic … [Read more...] about All about the Vaginal Flora.
Don’t Let Them Fool You: Why Economists Makes Great Data Scientists
The steps I took into making my Master’s Thesis in Economic Analysis can be summed up as: 1. Identifying an economic problem, 2. Identifying the data needed to solve the problem, 3. Gathering the data and cleaning it, 4. Exploration of the data, 5. Modelling the data (statistical modelling, predictive modelling, you name it), 6. Communicating the findings, tying it back to how … [Read more...] about Don’t Let Them Fool You: Why Economists Makes Great Data Scientists
The Glory of XGBoost
There are so many machine learning algorithms out there, how do you choose the best one for your problem? This question is going to have a different response based on the application and the data. Is it classification, regression, supervised, unsupervised, natural language processing, time series? There are so many avenues to take but in this article I am going to focus on on … [Read more...] about The Glory of XGBoost