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14 search results for "data science"

AutoML – Accelerate, Democratize and Scale AI

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The most fascinating thing about machine learning (ML) is that it can be applied to itself to accelerate and scale its own development, which is the core idea behind automatic machine learning (AutoML). Gartner predicts that by 2020, more than 40% of the data science tasks would have the possibility of being automated. AutoML aims to do just that, makes decisions in a data-driven, objective, and a...

Top 5 Reasons to Move Enterprise Data Science Off the Laptop and to the Cloud

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We live in a world that is inundated with data. Data science and machine learning (ML) techniques have come to the rescue in helping enterprises analyze and make sense of these large volumes of data. Enterprises have hired data scientists — people who apply scientific methods to data to build mathematical software models — to generate insights or predictions that enable data-driven business decisi...

What does data science used for?

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Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. The other terms: Business Analytics, Data Analytics, Data Mining, Predictive Analytics are essentially the same as Data Science. Data Science is concerned with analyzing data and extracting useful knowledge from it. Bui...

Airflow on Anaconda: A Match Made in Heaven, Perfected by Qubole

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Apache Airflow is a workflow management platform used to author workflows as Directed Acyclic Graphs (DAGs). This makes it easier to build data pipelines, monitor them, and perform ETL operations. A simple machine learning task may involve complex data pipelines. Triggering and monitoring these pipelines manually may cause unnecessary overhead and errors. Qubole offers Airflow running on top of th...

Deal between Data Science and Blockchain

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We all need Data, but, we have Responsibility that ensures Data Security and Data accuracy. Especially it explains the Deal between Data Science and Blockchain.

NASSCOM Research – The most credible technology, insights & thought leadership in India

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Join the fastest growing tech #Analytics #DataScience #researchers #introvideo

Transforming Sports to a Science with Technology

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The best part about living in India? The diversity. There’s so much to look up to, in so many different languages, cultures, ethnicities, cuisines…I could go on, but you get the picture. What’s better than this diversity? Something that binds us all together. And what better example to take than Cricket. I can bet everyone was hooked on to their televisions two nights ago, because there’s nothing ...

How did the GPU Accelerated System Transform Data Science?

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Data has become the most important resource for an organization. This has empowered the role of data science in transforming businesses into AI-fuelled enterprises. Data analytics and machine learning have become essential to business success. They are instrumental in helping businesses make more informed decisions and hence improve efficiency daily. Despite the growing use of these technologies, ...

Introduction to data science : How to big data with python

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Information science, investigation, AI, huge information… All commonplace terms in the present tech features, yet they can appear to be overwhelming, murky or essentially incomprehensible. In spite of their schick glimmer, they are *real* fields and you can ace them! We’ll jump into what information science comprises of and how we can utilize Python to perform information examination for us....

How can Data Science make UX Design better?

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Web design has evolved a lot especially with coming in of the UX design. UX or User Experience Design is basically a process of product creation involving the complete integration of product i.e. function, usability, design, branding etc. to provide a relevant and smooth experience to users. It does not consider a product as an island or an isolated entity but works through all the stages to give ...

Is there any standard process to follow to develop data science project like in software engineering have ERP, UML diagrams or documents etc.?

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here i am asking about specific to how to document AI/ML project not project life cycle like data collection, data cleaning, modeling, tuning etc.

The Art & Science of Data Storytelling

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“ You can have data without information, but you cannot have information without data”. Plato once said those who tell the stories rule the society. In a world that is getting increasingly data-driven, this statement holds especially true. It is only when we apply the art of storytelling to the science of data do we create visualizations that deliver business value. In 2016, Forbes called data sto...

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