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All Blog Posts Tagged 'data' (771)

Advanced Analytic Platforms – Changes in the Leaderboard 2020

Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become.  Of course there are also some interesting winner and loser stories.

 

The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out for 2020.  The really big news is how many excellent choices are now available.  In a remarkable move, the whole field of…

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Added by William Vorhies on February 17, 2020 at 12:19pm — 2 Comments

Visually Explained: What Companies Get Wrong About Failure?

Many traditional businesses hate to fail. They embrace concepts such as Fail Fast in public, but deep inside their hearts, they are scared to fail. Failure is what gives corporate employees sleepless nights. In fact, many corporate initiatives fail, such as data science projects, for example. Why is failure so unloved, and what can we do about it? We have to change the way we think about failure.



Failure is not an event, it's a process.

This distinction is…

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Added by Rafael Knuth on February 13, 2020 at 6:51am — No Comments

Apache Flink in 10 Minutes

What is Flink?

Apache Flink is an open-source stream processing framework. It is widely used by a lot of companies like Uber, ResearchGate, Zalando. At its core, it is all about the processing of stream data coming…

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Added by Igor Bobriakov on February 6, 2020 at 8:00am — No Comments

Sentiment Analysis with Naive Bayes and LSTM

In this notebook, we try to predict the positive (label 1) or negative (label 0) sentiment of the sentence. We use the UCI Sentiment Labelled Sentences Data Set.

Sentiment analysis is very useful in many areas.…

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Added by Igor Bobriakov on February 4, 2020 at 11:00am — 3 Comments

A Pivotal Year for Data Scientists- 2020

Data scientist remains to be one of the best jobs in 2020.

According to McKinsey, the US will be facing a shortfall of 250,000 data scientists by 2024. Though the jobs market is in constant change, a data scientist job still hits the top list. With many organizations looking for professionals adept in data science skills, a data science career is an ideal choice.

Why learn data science in 2020?

Companies worldwide are generating data.…

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Added by Yoey Thamas on February 4, 2020 at 1:52am — No Comments

Refined Data is the Key to Train Machine Learning

All machine intelligence is powered by data. This isn't ground-breaking, or even news – we've known about data's value for decades now. However, not all data are created equal, and we'll be looking at executing machine learning products from a standpoint that prioritizes the quality of the data streaming into them.

Machine Learning (ML) is a specific subset of…

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Added by Maha Islomova on January 24, 2020 at 7:30am — No Comments

Top 8 Google AI Tools

There is no doubt that Google is an absolute giant in the IT world. It creates various software tools for almost any imaginable area of activity existing today. Whatever you could want, Google, probably, has a solution. Either it is a smart voice helper or an…

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Added by Igor Bobriakov on January 23, 2020 at 11:30pm — No Comments

What are the recent advances in Cognitive radio and its functionalities

With the rapid growth of wireless communication there are many advances that are discovered and still in development due to the demand of innovations, competitions investment and regulations in radio spectrum is needed. One of the main advancement is Cognitive radio otherwise defined as Software defined radio which is a programmed radio that can change its transmitter parameters based on interaction with the environment in which it…

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Added by rajesh kumar on January 19, 2020 at 10:47pm — No Comments

How Can Companies Get The Most Value Out Of Their Data

Having spent the better part of the last decade helping organisations in the U.S. and the U.K. use data to drive profit, efficiency, and performance improvements, I thought it would be helpful to jot down best practices for organizations that are looking to get the most value out of their enterprise-level financial and operational data sets.

Every organisation entering the roaring 20s knows that they must use their data as a strategic differentiator to gain a competitive advantage and…

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Added by Fahad Zaidi on January 19, 2020 at 6:00am — No Comments

Top Data Science Use Cases in HR

Data Science methods and techniques allow new approaching the solution of complex tasks in terms of mathematics, and statistics for the various aspects and areas of our life, work, and business. Therefore, this makes it possible to produce the most unobvious…

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Added by Igor Bobriakov on January 16, 2020 at 10:30am — No Comments

Docker in 10 minutes

Software is always not only a set of instructions but also a context that manages, interacts and executes these instructions. At the start of developing, the engineer configures a dev environment. He can continue to change it in all stages of development. The problem appears when…

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Added by Igor Bobriakov on January 14, 2020 at 6:00pm — No Comments

Scylla vs Cassandra: Performance Comparison

One of the main requirements for modern information systems is the high data processing rate.  Among the solutions to solve this problem the popular one is to use high-performance databases. This article will review and compare two popular databases in performance terms:…

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Added by Igor Bobriakov on January 10, 2020 at 12:12am — No Comments

5 Best Python Machine Learning Courses Online for 2020

Best Python Machine Learning course tutorial class certification training online

25 Experts have compiled this list of Best Python for Machine Learning Course, Tutorial, Training, Class, and Certification available online for 2020. It includes both paid and free resources to help you learn Python for Machine Learning and these courses are suitable for beginners, intermediate learners as well as experts.

1.Machine Learning with Python (Coursera) 

If you are interested in getting started with the field…

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Added by Digital Defynd on January 3, 2020 at 9:30pm — No Comments

Not tools, focusing on problems: a project cycle in data science

As a data scientist in an organization you frequently find yourself in a couple of situations:

  • you have a business…
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Added by Mab Alam on December 27, 2019 at 8:00pm — No Comments

Ontologies and Semantic Annotation. Part 1: What Is an Ontology

Ontologies and Semantic Annotation. Part 1: What Is an Ontology





In the abundance of…

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Added by Max Ved on December 23, 2019 at 2:31pm — No Comments

Top NLP Algorithms & Concepts

Today, one of the most popular tasks in Data Science is processing information presented in the text form. Exactly this is text representation in the form of mathematical equations, formulas, paradigms, patterns in order to understand the text semantics (content) for its further…

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Added by Igor Bobriakov on December 21, 2019 at 6:56am — 1 Comment

Top 8 Data Science Use Cases in Production

Production sphere embraces a wide range of processes related to all branches and stages of creating material goods. In addition, these material goods may be of different values and even have rather contrasting goals. 

Under conditions…

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Added by Igor Bobriakov on December 18, 2019 at 8:30am — No Comments

Top 9 Data Science Use Cases in Analytics

Data science and analytics are growing in their popularity and range of applications in the modern world. Data science deals with answering questions and uncovering hidden insights, while analytics is rather concentrated on the processing itself and conducting of statistical…

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Added by Igor Bobriakov on December 18, 2019 at 8:00am — No Comments

H2O Framework for Machine Learning

H2O is a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks. The dataset we are using is the Bank Marketing Dataset. Here we need to train a model which will be able to predict if the client of the bank opens…

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Added by Igor Bobriakov on December 16, 2019 at 8:00am — No Comments

Sports Telemetry in Real-Time

The history of F1 motor racing and the use of telemetry as a way to monitor car setup and performance dates back to the 80s. The first electronic systems were installed onboard the car, collected information for only one lap and the data were then downloaded when the car was back in the garage. The explosion of computing capabilities, in the 90s, contributed to the growth of intelligent data usage in the F1 and the…

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Added by Valeria on December 13, 2019 at 1:00am — 1 Comment

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