Analytics Vidhya

SEPTEMBER 18, 2019

Overview Writing optimized Python code is a crucial piece in your data science skillset Here are four methods to optimize your Python code (with. The post 4 Unique Methods to Optimize your Python Code for Data Science appeared first on Analytics Vidhya.

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KDnuggets

SEPTEMBER 17, 2019

We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.

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Dataconomy

SEPTEMBER 3, 2019

A data management plan in a company is not something that can be implemented in isolation by one department or a team in your organisation, it is rather a collective effort – similar to how different players perform in a basketball court. From the smallest schoolyard to the biggest pro. The post Lessons from the Basketball Court for Data Management appeared first on Dataconomy.

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Data Science 101

SEPTEMBER 28, 2019

Amazon and Coursera have teamed up to create Getting Started with AWS Machine Learning. Topics covered are: Machine Learning. Computer Vision. NLP. Amazon Sagemaker. Happy Learning!

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Eugene Yan

SEPTEMBER 2, 2019

OMSCS CS6750 (Human Computer Interaction) - You are not your user! Or how to build great products.

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Smart Data Collective

SEPTEMBER 13, 2019

As industry buzzwords, “Big Data” is one of those phrases that has become seemingly ubiquitous. Everyone wants to be using big data to better their operation. The maintenance department is no exception to this trend. Accordingly, maintenance teams are beginning to embrace the use of big data and analytics to improve performance. In emphasizing the use of “big data”, maintenance can establish predictive maintenance programs, which reduce downtime and save on maintenance costs.

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KDnuggets

SEPTEMBER 9, 2019

This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when starting on your journey.

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Dataconomy

SEPTEMBER 12, 2019

What is the big problem with the right to be forgotten (right to erasure, Article 17) under the GDPR? As Blockchain generally is immutable, and the GDPR requires personal data to be deleted – many people therefore conclude that it is impossible to store any kind of personal data on. The post Everything you want to know about GDPR’s Right to be Forgotten in Blockchain appeared first on Dataconomy.

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Data Science 101

SEPTEMBER 24, 2019

A number of new impactful open source projects have been released lately. Open Source Data Science Projects. Pythia – from Facebook for deep learning with vision and language, “such as answering questions related to visual data and automatically generating image captions “ InterpretML – from Microsoft, ” package for training interpretable models and explaining blackbox systems “ ML framework for Julia – from Alan Turing Institute, MLJ is a machine learni

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Victor Zhou

SEPTEMBER 16, 2019

I finally started using Git more heavily a few years ago when I first began building some of my bigger side projects. Now, it’s true that typing git status and git push is pretty easy, but if you’ve got some Git experience you know some commands can get rather long. The one that always got me was: $ git commit --amend --no-edit This amends your staged changes into your most recent commit without changing its commit message (so Git won’t open a text editor!).

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Smart Data Collective

SEPTEMBER 25, 2019

Data breaches are becoming more common in today’s society. Hackers know they can sell compromised information on the dark web or use it for purposes such as blackmail. However, encryption technology for data protection is widely available. It involves protecting information with cryptography via a scrambled code. Only people with the key to decode the data can read it.

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Analytics Vidhya

SEPTEMBER 4, 2019

Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more. The post Everything you Should Know about p-value from Scratch for Data Science appeared first on Analytics Vidhya.

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KDnuggets

SEPTEMBER 23, 2019

Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.

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Dataconomy

SEPTEMBER 26, 2019

Before you start using the next amazing new femtech innovation, you may want to weigh the benefits against your right to privacy. You might want to think twice before accepting that sweet employer incentive for participating in health monitoring. Yes. Corporate wellness monitoring programs offer benefits, but they also have. The post The Rise Of “Menstrual Surveillance” and the Fight for Data Privacy in Women’s Health appeared first on Dataconomy.

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Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Data Science 101

SEPTEMBER 26, 2019

I am putting together some of my own resources on Data Strategy. Here are a few of the top resources I found helpful so far. What is a Data Strategy? – various definitions of a data strategy The 5 essential Components of a Data Strategy – a detailed whitepaper(PDF) from SAS How to Create a Successful Data Strategy – a detailed report from MIT How Do You Develop a Data Strategy (including 6 steps) – by Bernard Marr, He has created more data strategies than anyone, so his a

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DataRobot Blog

SEPTEMBER 11, 2019

Financial Planning and Analysis (FP&A) business professionals are responsible for mapping out a company’s financial future. They transform company goals into actionable plans by analyzing the current state of financial management affairs, then take the time to create a roadmap plan that details how to reach the destination. . Creating those plans require ingesting massive amounts of data resources, aggregating, cleansing, and standardizing that data, and then performing analysis on the finis

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Smart Data Collective

SEPTEMBER 15, 2019

Big data is changing the financial industry in a truly astounding way. Countless financial professionals are looking towards machine learning and other new tools to improve the quality of the services that they offer to their customers. K. Hussain of Atos Spain published a white paper on the growing relevance of big data in the finance and insurance verticals.

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Analytics Vidhya

SEPTEMBER 29, 2019

Overview Seaborn is a popular data visualization library for Python Seaborn combines aesthetic appeal and technical insights – two crucial cogs in a data. The post Become a Data Visualization Whiz with this Comprehensive Guide to Seaborn in Python appeared first on Analytics Vidhya.

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

KDnuggets

SEPTEMBER 3, 2019

These three deep learning frameworks are your go-to tools for NLP, so which is the best? Check out this comparative analysis based on the needs of NLP, and find out where things are headed in the future.

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Dataconomy

SEPTEMBER 24, 2019

With ecommerce sales skyrocketing, the options for online transactions are manifold. But what are the problems that come with these many choices to pay? Find out. Global e-commerce sales hit $29 trillion in 2017 according to data released by the United Nations Conference on Trade and Development (UNCTAD) early this. The post Three Trends in E-commerce Payments to be Concerned About appeared first on Dataconomy.

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Data Science 101

SEPTEMBER 20, 2019

Just released this week, Nuts about Data , is a fun introductory book about the data science process. Meor Amer tells a witty story about squirrels, mining for nuts, teamwork, and survival. It brings together the entire data science lifecycle from asking questions to final storytelling. It is a quick read and really fun. I highly recommend it and hope you enjoy it.

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DataCentric podcast

SEPTEMBER 25, 2019

A catch-up podcast as Moor Insights & Strategy technology analysts Matt Kimball & Steve McDowell run through a very news-filled September. The guys recap Red Hat Summit, Pure Accelerate, and also hit product announcements from Dell EMC, IBM, and Huawei, bemoan the dwindling quality of conference SWAG, and more. Much, much, more: Red Hat might be owned by IBM, but its about helping enterprises manage digital transformation, focused on where "opportunity and innovation intersect" S

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Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Smart Data Collective

SEPTEMBER 13, 2019

Big Data is among one of the most impressive tech advancements that have hit the marketing world in recent memory. While it has been tossed around as a buzzword in certain circles, Big Data is so much more than just a phrase. For a definition , Oracle recommends Gartner’s 2001 description of Big Data, which describes it as data containing a greater variety, getting to the source in increasing volume and at ever-higher velocity.

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Analytics Vidhya

SEPTEMBER 24, 2019

Overview Google’s BERT has transformed the Natural Language Processing (NLP) landscape Learn what BERT is, how it works, the seismic impact it has made, The post Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework appeared first on Analytics Vidhya.

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KDnuggets

SEPTEMBER 5, 2019

This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers.

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Dataconomy

SEPTEMBER 17, 2019

Vice-President of XING’s Data Science team, Dr. Sébastien Foucaud, believes the time of blackbox AI is behind us. The market leader in the DACH region has a vision for its Machine Learning: it should be explainable to the boss, as well as to users. Focussing on German-speaking countries since 2012, The post A Simple and Transparent Machine Learning Approach Proves to Conquer the German Market appeared first on Dataconomy.

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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

AI

Twilio Segment

SEPTEMBER 5, 2019

Segment had a security incident. Here's what you need to know.

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DataCentric podcast

SEPTEMBER 12, 2019

Want to hear a good origin story? Or about the future of data? You're in luck. As Pure Storage heads into its annual Pure Accelerate Conference in Austin next week, it's looking to celebrate its 10th anniversary. 10 years in which Pure has grown from a seed-stage start-up to a ~$4B publically traded company. And Pure continues to be a disrupter in the storage industry.

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Smart Data Collective

SEPTEMBER 19, 2019

Machine learning has played a very important role in the development of technology that has a large impact on our everyday lives. However, machine learning is also influencing the direction of technology that is not as commonplace. Text to speech technology is a prime example. Text to speech technology predates machine learning by over a century. However, machine learning has made the technology more reliable than ever.

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Analytics Vidhya

SEPTEMBER 22, 2019

Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply. The post How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy appeared first on Analytics Vidhya.

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.