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Posts In Category "Machine Learning"

Top 21 Machine Learning Books that You Must Read

Reading machine learning books can help to understand what machine learning is about. Machine Learning allows us to automate tasks and make continuous improvements to daily tasks and organizational strategies.  According to Dave Waters,  “Machine Learning will automate jobs that most people thought could only be done by people.” What is Machine Learning? So, what […]

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Demystifying Machine Learning Tutorial

Do you shop online? Have you noticed the suggestions? They will be about other products you may find appealing or products you can buy along with the one you are considering. Have you wondered how these suggestions come about? You can thank machine learning for them.  Machine learning has permeated everything from online shopping to […]

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Importance of Feature Engineering in Machine Learning

Machine learning is about teaching a computer to perform specific tasks based on inferences drawn from previous data. You do not need to provide explicit instructions. However, you do need to provide sufficient data to the algorithm to train it.  The data is initially in a raw form. You need to extract features from this […]

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An Ultimate Guide to Understanding Supervised Learning

In the early 18th century, the invention of the steam engine took the world by a storm and by paving the way for the industrial revolution, changed the course of the world. The world shifted from manual labour to mechanized operations. In the mid 20th century, the advent of computers and digital electronics, in general, […]

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Getting Started with Research Papers on Machine Learning: What to Read & How

A quick glance into any of the top-rated research papers on Machine Learning shows us how Machine Learning and digital technologies are becoming an integral part of every industry. According to recent research by Gartner, “Smart machines will enter mainstream adoption by 2021.” Adopting Machine Learning help your organization gain a major competitive edge. Why […]

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Representation Learning

Representation Learning 101- Get Ready, Set & Go!

Representation learning, a part of decision tree representation in machine learning, is also known as feature learning. It comprises of a set of techniques that helps the system discover representations required to detect the features or to classify the raw data available. This learning is an important part of decision tree representation in machine learning […]

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Machine Learning Jobs: Scope and Career Prospects

Machine Learning is one of the hottest career choices today. AI will create 2.3 million Machine Learning jobs by 2020, according to a recent report from Gartner. LinkedIn’s 2017 U.S. Emerging Jobs Report shows there are 9.8 times more Machine Learning Engineers working today than five years ago with 1,829 open positions listed on their […]

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Bias Variance Tradeoff In Machine Learning

Data engineers are constantly involved in managing data as well as organizing the same. While doing this, they are also required to keep themselves updated regularly with the new trends and the inconsistencies which may significantly impact the business goals. Keeping this thought into consideration, we have come up with this post on bias-variance tradeoff. According […]

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A Comprehensive Guide to Types of Neural Networks

Much of modern technology is based on computational models known as artificial neural networks. There are many different types of neural networks which function on the same principles as the nervous system in the human body. As Howard Rheingold said, “The neural network is this kind of technology that is not an algorithm, it is […]

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Document Classification Using Python and Machine Learning

Document Classification or Document Categorization is a problem in information science or computer science. We assign a document to one or more classes or categories. This can be done either manually or using some algorithms. Manual Classification is also called intellectual classification and has been used mostly in library science while as the algorithmic classification […]

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