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DATA SCIENCE
DATA SCIENCE
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Machine Learning

Machine learning (ML) is a subset of artificial intelligence. It focuses on the study of computer algorithms that improve automatically on their own, through experience. These algorithms are used in a large variety of different applications, from computer vision to mathematical optimizations. ML algorithms are necessary when it is difficult or not feasible to develop conventional algorithms to perform a necessary task.

The four main types of ML include:

  • Supervised machine learning algorithms that can apply what has already been learned in previous situations to new data using labeled examples to predict possible future events.
  • Unsupervised machine learning algorithms are used when the information used to train the model is neither classified nor labeled. Unsupervised learning can infer a function to describe a hidden structure from unlabeled data. Likewise, the system isn’t intended to figure out the right output, but it explores the data and can draw inferences from datasets to describe hidden structures from unlabeled data.
  • Semi-supervised machine learning algorithms fall in between supervised and unsupervised learning. They use both labeled and unlabeled data for training, skewing towards unlabeled data. Semi- supervised learning is selected when the acquired labeled data requires qualified and appropriate resources to train/learn from that. Otherwise, unlabeled data acquisition typically needs no additional capital.
  • Reinforcement machine learning algorithms is a learning method that produces actions and discovers errors through its environment. This method allows the algorithm to automatically understand behavior within a specific context in order to maximize its performance. Reward feedback is needed for the agent to understand which action is best, and this is known as a reinforcement signal.
Machine Learning

A Layman’s Guide to K Means Clustering

K means clustering is a form of unsupervised learning. Data scientists use it when they have loads of unlabeled data (any info without defined...

by Data Science Team 1 year agoDecember 18, 2020
K means Clustering
Machine Learning

Types of the Machine Learning Algorithm

Our world is changing through technological advancements, and machine learning is at the forefront. It is one of the factors affecting how machines perform...

by Data Science Team 1 year agoDecember 17, 2020
Machine Learning

Machine Learning for Recommender systems — Part 1 (algorithms, evaluation and cold start)

Algorithms Machine learning algorithms in recommender systems are typically classified into two categories — content-based and community-oriented sifting techniques albeit present day recommenders consolidate...

by Data Science Team 1 year agoDecember 18, 2020
Machine Learning

DBSCAN Grouping in ML | Thickness based bunching

Clustering analysis or simply Clustering is essentially an Unaided learning technique that partitions the information focuses on various explicit clumps or gatherings, with the...

by Data Science Team 1 year agoNovember 7, 2020
Machine Learning

What is a variational autoencoder?

To get an understanding of a VAE, we’ll first start from an easy network and add parts step by step. A common way of...

by Data Science Team 1 year agoNovember 6, 2020
Machine Learning

What is a Data Pipeline?

You may have seen the long-lasting episode of “I Love Lucy” where Lucy and Ethel get jobs wrapping chocolates during a candy factory. The...

by Data Science Team 1 year agoMay 2, 2020
Machine Learning

Residual Neural Networks – What You Need to Know

What is a Residual Neural Network? A residual neural network referred to as “ResNet” is a renowned artificial neural network. It assembles on constructs...

by Data Science Team 1 year agoDecember 18, 2020
Machine Learning

Reinforcement Learning and the Importance

Machine learning acts as the basis for various high-end technologies and different sub-types. For instance, deep learning and reinforcement learning are common types of...

by Data Science Team 1 year agoDecember 17, 2020
Machine Learning

Introduction to the Concept of LSTM

Think about when we are listening to a story or someone is communicating with us. Do we consider their every word individually and process...

by Data Science Team 1 year agoNovember 27, 2020
Machine Learning

How to Become a Data Scientist

What is a knowledge Scientist? Data science may be a complex and sometimes confusing field, and it involves dozens of various skills that make...

by Data Science Team 1 year agoNovember 28, 2020
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