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All Blog Posts Tagged 'Learning' (164)

3 Types of Machine Learning in AI

When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence

Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…

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Added by Mahesh Kumar CV on May 5, 2019 at 1:00am — No Comments

The Anatomy of K-means

A complete guide to K-means clustering algorithm



Let’s say…

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Added by Diego Lopez Yse on April 30, 2019 at 2:17pm — No Comments

The Complete Guide to Decision Trees

Everything you need to know about a top algorithm in Machine Learning

In the…

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Added by Diego Lopez Yse on April 30, 2019 at 2:00pm — 3 Comments

Building machine learning models in Apache Spark using SCALA in 6 steps

Introduction:

When dealing with building machine learning models, Data scientists spend most of the time on 2 main tasks when building machine learning models

Pre-processing and Cleaning

The major portion of time goes in to collecting, understanding, and analysing, cleaning the data and then building features. All the above steps mentioned are very important and critical to build successful machine learning…

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Added by Rohit Walimbe on April 21, 2019 at 9:00pm — 1 Comment

How to use anomaly detection to seal revenue leakages due to price errors

Price errors and their impact:



Price errors are one of the ways in which revenue leakage occurs in e-commerce business. Although retailers put various checks and balances in place, pricing errors are still common. Data entry mistakes, misplaced decimal points, reversal of digits, and other clerical errors made in hurry are the major contributors. It can also occur because errors in feeding promotional offer dates. Promotions might unintendedly start early or end late. Such revenue…

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Added by Avinash Udaykumar on March 26, 2019 at 7:57pm — No Comments

What is Automated Machine Learning (AutoML)?

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

With the right tools, today’s average business user can become a Citizen Data Scientist, using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as…

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Added by Kartik Patel on March 13, 2019 at 3:00am — 3 Comments

[New] Handbook of Deep Learning Applications (Springer)

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artifacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique…

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Added by Sanjiban Sekhar Roy on March 1, 2019 at 11:30pm — No Comments

Advanced Analytic Platforms – Incumbents Fall – Challengers Rise

Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard.  Some major incumbents have fallen and some new challengers have emerged.

 

The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard.  Say what you will about our profession but as a platform developer you…

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Added by William Vorhies on February 4, 2019 at 9:30am — 2 Comments

Stocks, Significance Testing & p-Hacking: How volatile is volatile?

October is historically the most volatile month for stocks, but is this a persistent signal or just noise in the data?

Stocks, Significance Testing & p-Hacking. Follow me on Twitter (twitter.com/pdquant) for more. Over the past 32 years, October has been the most volatile month on average for the S&P500 and December the least, in this article we will use simulation to assess the…

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Added by Patrick David on January 18, 2019 at 5:30am — No Comments

Your Guide to Natural Language Processing (NLP)

How machines process and understand human language



Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our tone, our selection of words, everything adds some type of information that can be interpreted and value extracted from it. In theory, we can understand and even predict human behaviour using that information.…

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Added by Diego Lopez Yse on January 18, 2019 at 3:46am — No Comments

A Machine Learning approach to strategic market research and segmentation

Machine learning is the branch of computer science and a subfield of Artificial Intelligence that utilizes past data to learn from and use its knowledge to make future decisions. Machine learning is at the intersection of computer science, engineering, and statistics. The goal of machine learning is to generalize a detectable pattern or to create an unknown rule from given examples.



Machine learning is broadly classified into three categories but nonetheless, based on the…

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Added by Malvika Mathur on December 8, 2018 at 11:00pm — No Comments

Business Problems and Data Science Solutions Part 1

An important principle of data science is that data mining is a process. It includes the application of information technology, such as the automated discovery and evaluation of patterns from data. It also includes an analyst’s creativity, business knowledge, and common sense. Understanding the whole process helps to structure data mining projects.

Since the data mining process breaks up the overall task…

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Added by Mehmet Gökce on October 24, 2018 at 8:58am — No Comments

K-means: A step towards Marketing Mix Modeling

                                                                                                  Source: www.mstecker.com/…

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Added by Ridhima Kumar on October 23, 2018 at 11:00am — No Comments

My Learning Sabbatical

This post came out of the inspiration I got after I read Rafael Knuth's Learning Sabbatical. I read part 1 of his sabbatical too and I felt compelled to put my experience and future plan .

Background:  After…

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Added by Arnuld on September 24, 2018 at 12:30am — No Comments

What is the difference between Machine Learning and Artificial Intelligence?

Artificial Intelligence and Machine Learning are two terms related to the world of computer science that can be heard a lot these days. These technologies are helping to bring about a considerable change in different fields today. Be it medical sciences, meteorology, robotics, understanding customer perspectives or scientific developments; these fields are offering an excellent way to move forward without letting technology stagnate.…

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Added by Vijay Singh on September 22, 2018 at 9:00pm — No Comments

Data Science vs AI: Get to the Fundamentals

Introduction: Deriving meaningful information out of heap of data is the minimal requirement for any establishment today for its survival & sustenance. There are many terminologies and buzz words related to this area that blurs the meaning leaving people confused,…

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Added by Niraj Kumar on September 22, 2018 at 5:57am — No Comments

Machine Learning for CEOs

Lee Sedol Vs Alpha Go

When I worked as a McKinsey consultant, I served the CEO of a bank regarding his small business strategy. I wanted to run regressions on the bank's data but I was advised against it: "They don't even understand statistics. How…

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Added by Pedro URIA RECIO on September 14, 2018 at 3:00am — 1 Comment

General Myths to avoid in Data Science and Machine Learning

What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even people in leadership positions, this is a question which is puzzling everyone in its own way.

For beginners…

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Added by Vibhor Nigam on August 15, 2018 at 7:30pm — 1 Comment

How Can You Find The Best Machine Learning Frameworks?

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Added by Pratik Kanada on August 15, 2018 at 4:01am — No Comments

Getting Started with NLP: Simple Topic Modeling in R (Part 1)

What is NLP?

Natural Language Processing (NLP) can be simply defined as teaching an algorithm to read and analyze human (natural) languages just like the human brain does, but a lot faster than a human could, more accurately and on very large amounts of data.

It is a great skill to have if you are an aspiring data scientist or data analyst because has…

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Added by Aymone Kouame on August 11, 2018 at 2:00pm — No Comments

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