Analytics Vidhya
APRIL 29, 2020
Overview Deploying your machine learning model is a key aspect of every ML project Learn how to use Flask to deploy a machine learning. The post How to Deploy Machine Learning Models using Flask (with Code!) appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 27, 2020
Believe it or not, the business and technology world have become so correlated that every time the development of technology enters the next phase, the business economy also experiences a significant impact. Whenever a new technology enters the list, the entrepreneurs and marketers begin to unveil its potential and related opportunities to revamp their existing business model and processes.
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Eugene Yan
APRIL 25, 2020
What I learned about measuring diversity, novelty, surprise, and serendipity from 10+ papers.
Hacker News
APRIL 26, 2020
In the fall of 1999 I got the biggest productivity boost of my entire career as a software developer. In the October issue of IEEE Computer magazine, there was an article by Kent Beck called “Embracing change with extreme programming” In it, he outlined Extreme Programming (XP), which includes much of what we now refer to as agile development.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Analytics Vidhya
APRIL 27, 2020
Highlights NumPy is a core Python library every data science professional should be well acquainted with This comprehensive NumPy tutorial covers NumPy from scratch, The post The Ultimate NumPy Tutorial for Data Science Beginners appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 30, 2020
In recent years, the term Big Data has become the talk of the town, or should we say, the planet. By definition , big data analytics is the complex process of analyzing huge chunks of data, trying to uncover hidden information — common patterns, unusual relationships, market trends, and above all, client preferences. All these are taken into careful consideration and big decisions are made based on the calculations, with high hopes of success.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science 101
MAY 1, 2020
The post All About Live Streaming with Marco Novo appeared first on Ryan Swanstrom.
Analytics Vidhya
APRIL 25, 2020
Overview Microsoft Excel is one of the most widely used tools for data analysis Learn the essential Excel functions used to analyze data for. The post 10+ Simple Yet Powerful Excel Tricks for Data Analysis appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 29, 2020
Big data is changing the nature of IT support. The impact of big data on this field is two-fold: Companies are using big data to provide better IT support Big data technology has created a number of new challenges that need to be addressed. IT support services are exploring new ways to use big data to offer better services. Margaret Rouse of TechTarget reports that IT companies are using big data in innovative ways.
DataRobot
APRIL 29, 2020
For Symphony Care Network, typical payment models didn’t make sense for either the patients or the company. The type of patients they see at their facilities are post-acute patients, typically having recently had some type of orthopedic or cardiac surgery who are looking to stay for up to two weeks for rehabilitation. Given their unique model and to improve both quality measures and the company’s financial sustainability, they implemented -- with the help of DataRobot’s Enterprise AI platform --
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Alation
APRIL 27, 2020
The post What Public Health Interventions Can Teach Us About Building Data Literacy Programs appeared first on Alation.
Analytics Vidhya
APRIL 28, 2020
Introduction to the Normal Distribution Have you heard of the bell curve? It tends to be among the most discussed water-cooler topics among people. The post Statistics for Data Science: What is Normal Distribution? appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 30, 2020
In this modern age, if you want to take your business to new heights and want to get ahead of your competitors, then you will have to keep up with the technology and trends in digital marketing. One way in which digital marketing helps you a lot is that it provides you social data. No matter what your target audience is, they have social media accounts, they are using hundreds of different kinds of mobile apps, and they are consuming content on YouTube or Netflix.
DataCentric podcast
APRIL 27, 2020
IT infrastructure needs maintenance, and, as we reconfigure for a remote workforce, it needs critical expansion. This is challenging in an environment where social distancing has become the norm. What does it take to deploy, maintain, and grow infrastructure in this environment? Pure Storage's VP of of World Wide Systems Engineering joins hosts Matt Kimball and Steve McDowell to talk about this, as well as what Pure is doing to help out.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Alation
APRIL 27, 2020
The post How to Approach a Comprehensive Data Literacy Program appeared first on Alation.
Analytics Vidhya
APRIL 30, 2020
This article talks about various roles available in Business Analytics and Data Science world and the career path you can expect from each of these roles. The post Career Paths in Business Analytics – Plan your Next Best Role in the Data Science World appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 30, 2020
The term “data” has been a staple of the internet industry ever since its inception in the ’80s. With more and more focus shifting towards the digital sphere managing data has been quite essential especially considering the amount of data that needs to be stored and analysed. Big data is the field of science that deals with data sets that are too large and complex that your traditional data processing tools cannot handle.
Analytics Vidhya
APRIL 26, 2020
The Importance of Exploratory Data Analysis (EDA) There are no shortcuts in a machine learning project lifecycle. We can’t simply skip to the model. The post A Beginner’s Guide to Exploratory Data Analysis (EDA) on Text Data (Amazon Case Study) appeared first on Analytics Vidhya.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Smart Data Collective
APRIL 30, 2020
The demand for big data increased by $1.89 billion last year. As the need for data technology grows, so will the demand for data scientists. Unfortunately, many people struggle to develop the skills to become high-paid data scientists. They have a lot of difficulty with the programming aspects of the job. If you intend to become a professional data scientist , then you need to understand the basics as a programmer.
Smart Data Collective
APRIL 29, 2020
As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one.
Smart Data Collective
APRIL 30, 2020
In terms of the coronavirus pandemic, we are all in the same proverbial boat. At this stage there is an insufficient amount of data concerning the health risks, so we must all take the same precautions for our own safety and for the safety of others around us. We are also required to follow the same restrictive measures that attempt to contain or mitigate the spread of the virus.
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