Understanding Basics Knowledge

Original article was published by Rachmawati Ari Taurisia on Artificial Intelligence on Medium

Understanding Basics Knowledge

Big Data, ML, AI, and DeepLearning For beginners

Imagine how many people in the world today connect with others through social media. YouTube views are 38,745,040, Twitter has 4.182,272 tweets, Instagram photos are 449,379, latest update: February 15, 2020. Imagine what would happen if you were on the internet. Youtube videos are watched 24 million times, Google Search 26 million times, Facebook posted 18 million times, and so on.

So, What do you think? There is a huge amount of data daily. What will do with this data? You can make predictions based on data analysis, you can calculate probabilities with a specific result, and so on.

How about the stored data. Last decade, we still use a floppy disk or CD to store data. Manual paper records, save files, floppy, and disk. But, now, We can store all the data on the cloud. We can store and access from anywhere and anytime. The exponential growth of data is so huge, it might Terrabyte, or even petabytes.

Big Data

Behind many ongoing waves of digital transformation, Big Data is very important today. So what is Big Data? Big Data is a collection the huge data, complex, and growing exponentially, the speed when created and collect from multiple sources and multiple formats with the variety or scope data encompass unstructured, semi-structured and structured results to capture, curate, manage, and process data within a tolerable in elapsed time.

Artificial Intelligence (AI)

AI changes the way we experience the world and increases attention in recent years. Innovation, The collection of Big Data and cause to grow the Internet of things (IoT) may soon have significant effects closer to our daily lives.

Machine Learning (ML)

Machine Learning is a sub-area application of artificial intelligence (AI) that can get access to data and ability to train independently, to recognize patterns based on existing algorithms that find solutions to the problem.

The Types of Machine Learning :

Supervised Learning

Unsupervised Learning

Reinforcement Learning


Deep learning is a subset of machine learning Cliches: it based on learning from large amounts of data and improving on its own by examining computer algorithms with artificial neural networks gives machines an enhanced ability to find and amplify, even the smallest patterns, algorithms inspired by the human brain filters information. This technique’s name is a deep neural network. Deep because the neural networks have various (deep) layers that enable learning through data and deliver an ultimate result in the prediction’s form.

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