KDnuggets
SEPTEMBER 25, 2019
As a data scientist, you can get lost in your daily dives into the data. Consider this advice to be certain to follow in your work for being diligent and more impactful for your organization.
datapine
SEPTEMBER 11, 2019
Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. Business intelligence steps up into this process by creating a comprehensive perspective of data, enabling teams to generate actionable insights on their own.
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Analytics Vidhya
SEPTEMBER 11, 2019
Overview A data-science-driven product consists of multiple aspects every leader needs to be aware of Machine learning algorithms are one part of a whole. The post 4 Key Aspects of a Data Science Project Every Data Scientist and Leader Should Know appeared first on Analytics Vidhya.
Corinium
SEPTEMBER 16, 2019
Enterprises across the globe are waking up to the fact that data is an asset that requires its own strategy. Those that treat it as such are now seeing substantial returns on their investments.
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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?
erwin
SEPTEMBER 5, 2019
Why planning your 5G roadmap requires significant input from enterprise architects. 5G is coming and bringing with it the promise to transform any industry. And while the focus has been on the benefits to consumers, the effects on the enterprise are far- reaching. Few examples of emerging technology have the potential to disrupt and downright revolutionize certain markets and processes than 5G.
CIO Business Intelligence
SEPTEMBER 5, 2019
There is golden knowledge in the sea of data that businesses are swimming in. Being able to fish out the business intelligence you need — when you need it — is the key to steering your ship.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
datapine
SEPTEMBER 4, 2019
The secret is out, and has been for a while: In order to remain competitive, businesses of all sizes, from startup to enterprise, need business intelligence (BI). Business intelligence has evolved into smart solutions that provide effective data management – from extracting, monitoring, analyzing, and deriving actionable insights needed to stay competitive on the market, to powerful visualizations created with a dashboard builder which enables business users to interact with data and drill into
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.
Bruno Aziza
SEPTEMBER 22, 2019
Today, as data has become a lifeblood of industry leading firms, competing on analytics has become an unquestioned mantra, and firms have anointed Chief Data Officers to occupy the C-Suite.
erwin
SEPTEMBER 19, 2019
Data governance isn’t a one-off project with a defined endpoint. It’s an on-going initiative that requires active engagement from executives and business leaders. Data governance, today, comes back to the ability to understand critical enterprise data within a business context, track its physical existence and lineage, and maximize its value while ensuring quality and security.
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CIO Business Intelligence
SEPTEMBER 12, 2019
Business intelligence (BI) and analytics platforms have long been a staple for business, but thanks to the rise of self-service BI tools, responsibility for analytics has shifted from IT to business analysts, with support from data scientists and database administrators.
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.
datapine
SEPTEMBER 25, 2019
In the Age of Information, data equals power. By harnessing the power of your business’s most valuable digital insights, you will enhance decision-making, improve internal communication, and accelerate your success. But with so much information and such little time in the day, how do you get the most from your data? Data is most effective when it’s visual, easy to analyze, and accessible to everyone in the organization.
Analytics Vidhya
SEPTEMBER 1, 2019
Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on. The post Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills! appeared first on Analytics Vidhya.
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 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!
erwin
SEPTEMBER 26, 2019
The benefits of Data Vault automation from the more abstract – like improving data integrity – to the tangible – such as clearly identifiable savings in cost and time. So Seriously … You Should Automate Your Data Vault. By Danny Sandwell. Data Vault is a methodology for architecting and managing data warehouses in complex data environments where new data types and structures are constantly introduced.
IBM Big Data Hub
SEPTEMBER 5, 2019
Among organizations investing in AI hardware, software or services, more will buy IBM and rely on Watson than any other vendor. This according to a new IDC report which names IBM as 2018’s market leader in AI. So just what sets apart IBM as leader of the AI provider pack?
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.
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.
Domino Data Lab
SEPTEMBER 18, 2019
This post covers data exploration using machine learning and interactive plotting. If interested in running the examples, there is a complementary Domino project available. Introduction. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Visualization tools help make the shape of the data more obvious, surface patterns that can easily hide in hundreds of rows of data, and can even assist
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.
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
erwin
SEPTEMBER 12, 2019
Strong internal business process modeling and management helps data-driven organizations compete and lead. In short, an internal business process is a documented account of how things should be done to maximize efficiency and achieve a particular goal. In the book “Exponential Organizations” by Salim Ismail, Michael S. Malone and Yuri van Geest , the authors, examine how every company is or will evolve into an information-based entity in which costs fall to nearly zero, abundance replaces scarci
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Ontotext
SEPTEMBER 9, 2019
My great grandparents were married for more than sixty years. They had a telepathy that comes from living together that long. They could finish each other’s sentences or anticipate when one wanted a coffee or lunch. An exchange could go like this. ‘Remember those figs?’ Grandma said. ‘You’re talking about that holiday to France in ’76 and it wasn’t figs, it was apples.’.
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.
Teradata
SEPTEMBER 11, 2019
AI & Deep Learning allow organizations to maximize player performance while minimizing player risk through better insights from performance and wellness data.
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.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
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
MLWhiz
SEPTEMBER 1, 2019
We as data scientists have gotten quite comfortable with Pandas or SQL or any other relational database. We are used to seeing our users in rows with their attributes as columns. But does the real world really behave like that? In a connected world, users cannot be considered as independent entities. They have got certain relationships between each other and we would sometimes like to include such relationships while building our machine learning models.
Ontotext
SEPTEMBER 4, 2019
My great grandparents were married for more than sixty years. They had a telepathy that comes from living together that long. They could finish each other’s sentences or anticipate when one wanted a coffee or lunch. An exchange could go like this. ‘Remember those figs?’ Grandma said. ‘You’re talking about that holiday to France in ’76 and it wasn’t figs, it was apples.’.
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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