INDUSTRY INSIGHTS YOUR PEERS ARE READING
Whenever we hear "data," the first thing that comes to mind is SQL! SQL comes with easy and quick to learn features to organize and retrieve data, as well as perform actions on it in order to gain useful insights. 2019 Aug Tutorials, Overviews Data Science Data Scientist SQL MORE
Every once in a while, someone claims that data visualization can be enhanced when viewed in virtual reality (e.g., by wearing a VR headset). Not once, however, has anyone demonstrated any real benefits. If you think about it for a moment, this isn’t surprising. MORE
Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily. The post 10 Powerful Python Tricks for Data Science you Need to Try Today appeared first on Analytics Vidhya. MORE
In our previous blog posts, we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by Cluster Labs and Replication Manager (repmgr) by 2ndQuadrant. MORE
Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs. 2019 Aug Tutorials, Overviews Backpropagation Neural Networks numpy Python MORE
I recently discovered a LinkedIn debate over whether or not non-data scientists could lead data science teams. The debate was polarised between those arguing for technical knowledge & those who focussed on leadership skills. MORE
The purpose of this article is to outline a set of guidelines and recommended practices for managing Microsoft Power BI projects. This guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects. MORE
Billionaire Tilman Fertitta walks into the room. You can’t believe this heavyweight, the CEO and sole owner of multiple restaurant franchises, has given you the time of day. Tilman sits down, settles himself, and glances at the clock. MORE
Creating new knowledge is an intuitive human endeavour and it brings value and change to individuals, companies and society by shedding light the patterns, practices, inconsistencies and paradoxes in the observed world. MORE
Speed may never be more important to your business than it is today. The right data analytics solution can help your team to react quickly to the needs of your customers and the changes in your industry, products and suppliers that influence your business. MORE
Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few. The post The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need appeared first on Analytics Vidhya. Machine Learning Python clustering kmeans kmeans clustering kmeans in python machine learning python unsupervised learning MORE
What does a new device, downloading of an app, signing up on a platform all have in common……the “accepting” of t’s & c’s. MORE
CCO Melbourne CCO New Zealand CCO Sydney 2019 MORE
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Sci-Fi writers, futurologists and IT researchers and practitioners sometimes conceptualize ‘human-level AI’ as the Holy Grail of AI research. The idea of symbiosis between humans and machines is also settled in mass conscience creating new hopes and new phobias. MORE
Due to the increasing risks brought about by cyberattack threats, cybersecurity has risen to the top of the agenda of most organizations. Companies are investing heavily in IT and cybersecurity solutions are expected to account a significant portion of overall spending. MORE
Businesses are going through a major change where business operations are becoming predominantly data-intensive. As per studies , more than 2.5 quintillions of bytes of data are being created each day. This pace suggests that 90% of the data in the world is generated over the past two years alone. MORE
Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. MORE
Big data is changing the future of organizational decision making. Belkacem Athamena, a professor at Al Ain University of Science and Technology wrote a white paper on the evolution of big data in decision making. MORE
Overview Effectively translating business requirements to a data-driven solution is key to the success of your data science project Hear from a data science. The post How can you Convert a Business Problem into a Data Problem? A Successful Data Science Leader’s Guide appeared first on Analytics Vidhya. Career Data Science business to data data driven solution data science data science leader data science solution data science thought leader MORE
Modern machine learning applications need to process a humongous amount of data and generate multiple features. Python’s datatable module was created to address this issue. It is a toolkit for performing big data (up to 100GB) operations on a single-node machine, at the maximum possible speed. MORE
They say robots are conquering the world, and there is some truth in it. Statista expects the robotics market to grow at an annual rate of around 37.4%. If the trend remains, by 2025 the market size will reach almost 500 billion U.S. dollars. MORE
Millman has introduced some articles on the benefits of big data in the retirement industry. Wade Matterson wrote an article on LinkedIn on the value of big data for solving the retirement riddle. A growing body of research shows that big data can be invaluable for people planning for retirement. MORE
Data overload is a growing problem for enterprise businesses. Analysis teams must often work manually to navigate seas of data and generate the specific insights their colleagues request.It can take multiple analysts weeks to gather, integrate and process the data they need. MORE
Suppose you are a data steward, responsible for integrating a collection of data sources, S1, …, Sn. Historically, you would perform the following steps: Have your best programmer define a global schema GS, which the various sources will accommodate. MORE
In a manufacturing or wholesale business, there is a lot of information to keep track of. As an IT manager, you might find that everyone is looking to you for all the answers too, which can be stressful. MORE
According to IBISWorld the electrical wholesale industry generated $219bn in the last 12 months in the US, UK and Australia and has an expected annual grow rate of two per cent. Those using data analytics are reportedly getting a $9 return for every dollar spent. MORE
Hugo Bowne-Anderson, data scientist and host of our podcast DataFramed, deconstructs the essential topics and skills that employees need to know to work with data MORE
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Republished courtesy of Suren Pillay. Orginally published here: [link]. Join Suren at Future Enterprise Systems Africa 2019, 16-17 October, Focus Rooms Sunninghill, Johannesburg ( www.fes-africa.com ). FESA Insights MORE
Corinium
AUGUST 23, 2019
Republished courtesy of Suren Pillay. Orginally published here: [link]. Join Suren at Future Enterprise Systems Africa 2019, 16-17 October, Focus Rooms Sunninghill, Johannesburg ( www.fes-africa.com ). FESA Insights
DataFloq
AUGUST 20, 2019
Sci-Fi writers, futurologists and IT researchers and practitioners sometimes conceptualize ‘human-level AI’ as the Holy Grail of AI research. The idea of symbiosis between humans and machines is also settled in mass conscience creating new hopes and new phobias.
Analytics Vidhya
AUGUST 19, 2019
Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily. The post 10 Powerful Python Tricks for Data Science you Need to Try Today appeared first on Analytics Vidhya.
Phocas
AUGUST 22, 2019
Speed may never be more important to your business than it is today. The right data analytics solution can help your team to react quickly to the needs of your customers and the changes in your industry, products and suppliers that influence your business.
Speaker: Nima Gardideh, CTO, Pearmill
Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you. Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.
datapine
AUGUST 21, 2019
Billionaire Tilman Fertitta walks into the room. You can’t believe this heavyweight, the CEO and sole owner of multiple restaurant franchises, has given you the time of day. Tilman sits down, settles himself, and glances at the clock.
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Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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Corinium
AUGUST 21, 2019
Data overload is a growing problem for enterprise businesses. Analysis teams must often work manually to navigate seas of data and generate the specific insights their colleagues request.It can take multiple analysts weeks to gather, integrate and process the data they need.
DataFloq
AUGUST 21, 2019
They say robots are conquering the world, and there is some truth in it. Statista expects the robotics market to grow at an annual rate of around 37.4%. If the trend remains, by 2025 the market size will reach almost 500 billion U.S. dollars.
Phocas
AUGUST 19, 2019
In a manufacturing or wholesale business, there is a lot of information to keep track of. As an IT manager, you might find that everyone is looking to you for all the answers too, which can be stressful.
datapine
AUGUST 20, 2019
Businesses are going through a major change where business operations are becoming predominantly data-intensive. As per studies , more than 2.5 quintillions of bytes of data are being created each day. This pace suggests that 90% of the data in the world is generated over the past two years alone.
Speaker: Steve Johnson, VP of Products, Pragmatic Institute
Product Management is one of the most exciting - and most misunderstood - functions in technical organizations. Is it strategic or tactical? Is it a planning role or a support role? Many product professionals are unclear about what is (and isn't) product management. After all, product management spans many activities from business planning to market readiness. In this session, we’ll examine many product activities and artifacts for product strategy, planning, and growth, and introduce a simple tool that you can use in your organization to clarify the roles of product management and others. Steve Johnson explores the many roles of Product Management in this fun talk focused on why product managers should obsess on problems instead of solutions.
Analytics Vidhya
AUGUST 18, 2019
Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few. The post The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need appeared first on Analytics Vidhya. Machine Learning Python clustering kmeans kmeans clustering kmeans in python machine learning python unsupervised learning
Corinium
AUGUST 21, 2019
What does a new device, downloading of an app, signing up on a platform all have in common……the “accepting” of t’s & c’s.
DataFloq
AUGUST 22, 2019
I recently discovered a LinkedIn debate over whether or not non-data scientists could lead data science teams. The debate was polarised between those arguing for technical knowledge & those who focussed on leadership skills.
Phocas
AUGUST 20, 2019
According to IBISWorld the electrical wholesale industry generated $219bn in the last 12 months in the US, UK and Australia and has an expected annual grow rate of two per cent. Those using data analytics are reportedly getting a $9 return for every dollar spent.
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The 3rd annual Dresner 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. Learn about the core set of capabilities that make data catalogs critical for self-service analytics.
KDnuggets
AUGUST 23, 2019
Whenever we hear "data," the first thing that comes to mind is SQL! SQL comes with easy and quick to learn features to organize and retrieve data, as well as perform actions on it in order to gain useful insights. 2019 Aug Tutorials, Overviews Data Science Data Scientist SQL
Analytics Vidhya
AUGUST 20, 2019
Overview Learn how to remove stopwords and perform text normalization in Python – an essential Natural Language Processing (NLP) read We will explore the.
Corinium
AUGUST 18, 2019
CCO Melbourne CCO New Zealand CCO Sydney 2019
DataFloq
AUGUST 18, 2019
Creating new knowledge is an intuitive human endeavour and it brings value and change to individuals, companies and society by shedding light the patterns, practices, inconsistencies and paradoxes in the observed world.
Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando
It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.
Paul Turley
AUGUST 24, 2019
The purpose of this article is to outline a set of guidelines and recommended practices for managing Microsoft Power BI projects. This guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects.
Domino Data Lab
AUGUST 22, 2019
Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens.
KDnuggets
AUGUST 20, 2019
Modern machine learning applications need to process a humongous amount of data and generate multiple features. Python’s datatable module was created to address this issue. It is a toolkit for performing big data (up to 100GB) operations on a single-node machine, at the maximum possible speed.
Smart Data Collective
AUGUST 21, 2019
Big data is changing the future of organizational decision making. Belkacem Athamena, a professor at Al Ain University of Science and Technology wrote a white paper on the evolution of big data in decision making.
Speaker: Sam McAfee, Product Development Consultant, Startup Patterns
You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.
DataFloq
AUGUST 22, 2019
In our previous blog posts, we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by Cluster Labs and Replication Manager (repmgr) by 2ndQuadrant.
DataCamp
AUGUST 23, 2019
Hugo Bowne-Anderson, data scientist and host of our podcast DataFramed, deconstructs the essential topics and skills that employees need to know to work with data
Tamr
AUGUST 21, 2019
Suppose you are a data steward, responsible for integrating a collection of data sources, S1, …, Sn. Historically, you would perform the following steps: Have your best programmer define a global schema GS, which the various sources will accommodate.
KDnuggets
AUGUST 23, 2019
Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs. 2019 Aug Tutorials, Overviews Backpropagation Neural Networks numpy Python
Speaker: Sari Harrison, Product Management Instructor, Product School
As a product manager, it's your job to realize your product’s vision by executing your chosen strategy. It’s also your job to deliver value to the business. Ultimately, these two outcomes are aligned so the temptation is to focus primarily on business metrics. Doing this can cause you to lose focus on the real value you are trying to achieve, in favor of moving the vanity metrics such as launches and time spent. Join Sari Harrison, Product Management Instructor at Product School, as she explains how to use immeasurable success criteria along with your more standard KPIs to deliver products that don't just get used a lot, but deliver real value.
Smart Data Collective
AUGUST 21, 2019
Millman has introduced some articles on the benefits of big data in the retirement industry. Wade Matterson wrote an article on LinkedIn on the value of big data for solving the retirement riddle. A growing body of research shows that big data can be invaluable for people planning for retirement.
DataFloq
AUGUST 22, 2019
Due to the increasing risks brought about by cyberattack threats, cybersecurity has risen to the top of the agenda of most organizations. Companies are investing heavily in IT and cybersecurity solutions are expected to account a significant portion of overall spending.
Perceptual Edge
AUGUST 19, 2019
Every once in a while, someone claims that data visualization can be enhanced when viewed in virtual reality (e.g., by wearing a VR headset). Not once, however, has anyone demonstrated any real benefits. If you think about it for a moment, this isn’t surprising.
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