Rocket-Powered Data Science

The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. Hodler.

Data Science Blogs-R-Us

Rocket-Powered Data Science

I have written articles in many places. I will be collecting links to those sources here. The list is not complete and will be constantly evolving. There are some older blogs that I will be including in the list below as I remember them and find them. Also included are some interviews in which I provided detailed answers to a variety of questions. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter.

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Glossaries of Data Science Terminology

Rocket-Powered Data Science

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Data Science Glossary on DataScienceCentral. Data Science Glossary.

Shocking Amount of Data

Rocket-Powered Data Science

50 years after the publication of Alvin Toffler ’s landmark book “ Future Shock “, a new book “ After Shock ” is here.

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters.

Top 10 Conversations That You Do Not Want to Have on Data Innovation Day

Rocket-Powered Data Science

[Note: this post is a slightly modified version of an earlier post. Although written with light (perhaps weak) humor, this post was created to bring attention to the Benefits of Open Data for innovation, value creation, and digital transformation on Open Data Day.]. Data Innovation is a powerful strategic goal for data-intensive organizations, especially to be celebrated through Data Innovation Day events , whenever they may occur.

Bias-Busting with Diversity in Data

Rocket-Powered Data Science

Diversity in data is one of the three defining characteristics of big data — high data variety — along with high data volume and high velocity.

Analytics By Design, For The Analytics Win

Rocket-Powered Data Science

We hear a lot of hype that says organizations should be “ Data – first ”, or “AI- first , or “ Data – driven ”, or “ Technology – driven ”.

Data Scientist’s Dilemma – The Cold Start Problem

Rocket-Powered Data Science

The ancient philosopher Confucius has been credited with saying “study your past to know your future.” This wisdom applies not only to life but to machine learning also.

Sensor Analytics on Big Data at Micro Scale

Rocket-Powered Data Science

We often think of analytics on large scales, particularly in the context of large data sets (“Big Data”). However, there is a growing analytics sector that is focused on the smallest scale. That is the scale of digital sensors — driving us into the new era of sensor analytics.

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

Data Makes Possible Many Things: Insights Discovery, Innovation, and Better Decisions

Rocket-Powered Data Science

In the early days of the big data era (at the peak of the big data hype), we would often hear about the 3 V’s of big data (Volume, Variety, and Velocity). Then, people started adding more V’s, including Veracity and Value , plus many more!

Variety is the Secret Sauce for Big Discoveries in Big Data

Rocket-Powered Data Science

When I was out for a walk recently, I heard a loud low-flying aircraft passing overhead. This was not unusual since we live in the flight path of planes landing at a major international airport about 10 miles from our home.

Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Career Relevance. Definitions of terminology frequently seen and used in discussions of emerging digital technologies. NOTE: This page is a WIP = Work In Progress.). AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) 4) Credit Card Fraud Alerts. (5)

Blockchain applications in the Federal Government sector

Rocket-Powered Data Science

My current position is Principal Data Scientist and Executive Advisor at global technology consulting firm Booz Allen Hamilton. In this role, I am frequently asked many questions about the work we are doing, specifically with the U.S. federal government. I always defer those types of questions to open source materials, including articles, press releases, and content published on my company’s website. I was recently asked about federal government applications of blockchain technology.

Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns. The following insightful quote by Dan Olley (EVP of Product Development and CTO at Elsevier) sums up the urgency and criticality of the situation: “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.” ” This statement also applies to CMOs.

Future-Proofing Your Information Governance Strategy

Speaker: Crystal Cao, Lindsey Simon & Lisa Ripley

Join Onna and experts from Quip, Airbnb, and Oracle for this live webinar as they dive into proactive data deletion policies, retention strategies, and legal hold practices that are essential to a modern enterprise information governance strategy.

Data Science Training Opportunities

Rocket-Powered Data Science

A few years ago, I generated a list of places to receive data science training. That list has become a bit stale. So, I have updated the list, adding some new opportunities, keeping many of the previous ones, and removing the obsolete ones.

Statistics for Data Science: What is Skewness and Why is it Important?

Analytics Vidhya

Overview Skewness is a key statistics concept you must know in the data science and analytics fields Learn what is skewness, the formula for. The post Statistics for Data Science: What is Skewness and Why is it Important? appeared first on Analytics Vidhya.

Farfetch CDO Kshitij Kumar: Data Availability has Never Been More Important

Corinium

With data and analytics leaders across the globe transforming the way their businesses operate to meet the challenges of COVID-19, we caught up with Farfetch CDO Kshitij Kumar to get his take on what the future has in store. As a fashion retailer, Farfetch must have been affected by COVID-19.

8 SQL Techniques to Perform Data Analysis for Analytics and Data Science

Analytics Vidhya

Overview SQL is a must-know language for anyone in analytics or data science Here are 8 nifty SQL techniques for data analysis that ever. The post 8 SQL Techniques to Perform Data Analysis for Analytics and Data Science appeared first on Analytics Vidhya.

The North Star Playbook

Every product needs a North Star. In this guide, we will show you the metrics product managers need to tie product improvements to revenue impact. If you are looking for a more-focused, less-reactive way to work, this guide is for you.

22 Widely Used Data Science and Machine Learning Tools in 2020

Analytics Vidhya

Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.

7 Open Source Data Science Projects you Should Add to your Resume

Analytics Vidhya

Overview Open source data science projects add a lot of value to your resume and help you stand out in an interview Here are. The post 7 Open Source Data Science Projects you Should Add to your Resume appeared first on Analytics Vidhya.

3 Building Blocks of Machine Learning you Should Know as a Data Scientist

Analytics Vidhya

Overview A machine learning system consists of multiple building blocks that need to be managed Learn about the three key building blocks of machine. The post 3 Building Blocks of Machine Learning you Should Know as a Data Scientist appeared first on Analytics Vidhya.

10 Compelling Reasons you Should Use JupyterLab for Data Science Coding

Analytics Vidhya

Overview JupyterLab is a brilliant coding environment to perform data science tasks These 10 reasons will convince to switch to JupyterLab from Jupyter Notebooks. The post 10 Compelling Reasons you Should Use JupyterLab for Data Science Coding appeared first on Analytics Vidhya.

How to Choose the Best Embedded Analytics Solution to Modernize Your Application

If you are looking to modernize your application to improve competitiveness, then one of the quickest wins you can have is to embed sophisticated analytics that will wow your existing and prospective customers.

What Data Analysts Need from Their Leadership

Corinium

Ahead of his appearance at this year’s Chief Data & Analytics Officer Africa conference, Michiel van Staden, Data Analytics Lead: Everyday Banking Growth at Absa, shares three things his experiences to date have taught him about data leadership. The value of data analytics rests on communication.

Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python

Analytics Vidhya

Overview Information extraction is a powerful NLP concept that will enable you to parse through any piece of text Learn how to perform information. The post Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python appeared first on Analytics Vidhya.

Tips for Operationalizing AI from DCO Financial Services EU

Corinium

Conversations at this two-day digital event centered around how to extract maximum value from financial services AI and analytics initiatives.

Python Style Guide | How to Write Neat and Impressive Python Code

Analytics Vidhya

Overview The Python Style Guide will enable you to write neat and beautiful Python code Learn the different Python conventions and other nuances of. The post Python Style Guide | How to Write Neat and Impressive Python Code appeared first on Analytics Vidhya.

B2B Pocket Playbook: End-to-End Guide to Sales Enablement

Sales enablement is the strategic process of providing sales teams with the content, guidance, and mentorship needed to engage targeted buyers. It’s all about equipping sales professionals with the tools they need to put their best-selling foot forward. And if sales teams want to continuously sell better -- and faster -- their sales enablement process must have a game-winning strategy. It's time for you to start selling smarter - and hitting your sales number - with the best B2B database in the market. Get started today.

Video: Data Conversations Over Coffee with Thuthukile Rakharebe

Corinium

This is the first in a short series promoting the Data Management profession. Data and Analytics

10 matplotlib Tricks to Master Data Visualization in Python

Analytics Vidhya

Overview matplotlib is a widely used Python library for performing data visualization and exploratory data analysis These 10 matplotlib tricks will enable you to. The post 10 matplotlib Tricks to Master Data Visualization in Python appeared first on Analytics Vidhya.

Demand for Data and Analytics Soars in the Wake of COVID-19

Corinium

Faced with unprecedented global disruption, organizations are hungry for reliable insights to guide them through the global COVID-19 pandemic. In times of crisis, organizations often need to make tough decisions fast.

DCO Government Highlights Data-Driven Innovation in the Public Sector

Corinium

This two-day digital event shone a spotlight on the most innovative data strategies, data-driven cultures and digital transformations in the US public sector.

Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?

Business Analytics vs. Data Science – Which Path Should you Choose?

Analytics Vidhya

Introduction “Business Analytics” and “Data Science” – these two terms are used interchangeably wherever I look. But there’s one indisputable fact – both industries. The post Business Analytics vs. Data Science – Which Path Should you Choose?

How CDAO Priorities are Shifting in 2020

Corinium

An increased focus on meeting workforce demands may be an indication of what the future has in store for data and analytics leadership roles. The roles of the CDO, CAO and CDAO are constantly evolving.

An Introduction to Machine Learning Libraries for C++

Analytics Vidhya

Introduction I love working with C++, even after I discovered the Python programming language for machine learning. C++ was the first programming language I. The post An Introduction to Machine Learning Libraries for C++ appeared first on Analytics Vidhya.

Tips for Advancing Analytics Capabilities from Data Champions Online, US

Corinium

The importance of company-wide buy-in and cross-functional collaboration emerged as key themes at this months Data Champions Online, US digital event.

Pressure Points: How to Ensure Your B2B Pipeline Passes Inspection

This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E (you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement.