Scalable and efficient data pipelines are as important for the success of analytics and ML as reliable supply lines are for winning a war.
I share a list of recommended free books for Data Science & AI from introductory level to advanced techniques: The LION Way: Machine Learning plus Intelligent Optimization Computer Vision Natural Language Processing with Python Bayesian Reasoning and Machine Learning Data Mining Algorithms In R Data Mining and Analysis: Fundamental Concepts and Algorithms Gaussian Processes for… Read More »Free Books Data Science & AI
Ever heard of the DIKW pyramid? It stands for the Data / Information / Knowledge / Wisdom pyramid. Sometimes it is also referenced as “DIKW Hierarchy”, “Wisdom Hierarchy”, &…
Dashboard Data Viz UI UX Big Data designed by Tim Degner. Connect with them on Dribbble; the global community for designers and creative professionals.
Lode Emmanuel Palle has established a commendable presence in the world of open source contribution. With an ardent passion for collaborative software development, he has consistently demonstrated …
As FP&A Professionals it is your job to provide high quality analysis and insights to your organization. Download the High resolution… | 32 comments on LinkedIn
Data has been a valuable commodity for more than a decade now. It not only has changed the way our civilization is progressing but, has also provided us with a new perspective with which we look at…
Delve into how tech is revolutionizing personalized learning for autistic children.
Proper data governance is vital to avoid corrupt modelling and inefficient decisions. A data governance roadmap drives a strategic approach.
Here is a nice summary of traditional machine learning methods, from Mathworks. I also decided to add the following picture below, as it illustrates a method that was very popular 30 years ago but that seems to have been forgotten recently: mixture of Gaussian. In the example below, it is used to separate the data set… Read More »Machine Learning Summarized in One Picture
Tham & Videgård designed the Hemnet Home, a Swedish house that used big data to determine its many characteristics.
Making good decisions is hard. And often, it’s the process that’s behind your decision that needs the most help. How you develop judgment and good decision making habits matters. That’s why I’ve been looking around for simple tools that help better “decisioning” become a habit.
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I developed R and Python cheatsheets last year. The advanced R version is posted on RStudio Inc. website. Below links you can find these cheatsheets: For original article, click here
Every application generates data, but what do those data mean? This is a question all data scientists are hired to answer. There is no doubt that this information is the most precious commodity for a business. But making sense of data, creating insights and turning them into decisions, is even more important. As the data keep growing in volume, the data analytics pipelines have to be scalable to adapt the rate of change. And for this reason, choosing to set up the pipeline in the cloud makes
Today, the big data sector amounts to more than 7.5 percent of total venture investments. So where are we in the world of big data, and is the recent obsession with AI still fundamentally related to big data?
Por Víctor Martín Robles y Demetrio Barragán. En la última década, la sociedad ha vivido una revolución digital...
Big data isn’t just for those who can wrangle Hadoop or wrestle with R. Service interfaces (APIs) make it easy for even the relative novice explorer some creative solutions. Working for an innovation centre I often find the need to quickly glue together service APIs to gain some insight from the data flowing around our sector. More often than not I turn to Google Sheets (Spreadsheets) and Google Apps Script to rapidly develop dashboards I can share with colleagues. It’s reassuring to see I’m not the only one who uses this approach.
Want to work with big data, machine learning, and business analytics? Learn everything in these data analytics courses online.
If you like this article, check out another by Robbie: My Curated List of AI and Machine Learning Resources There are many facets to Machine Learning. As I started brushing up on the subject, I came…
This program is a blend of the Data Science & Analytics Placement Assistance Program and the Data Engineering Placement Assistance Program.
Here are the must-know top 10 design patterns for beginners synthesized from the Kubernetes Patterns book. Getting familiar with these patterns will help you understand foundational Kubernetes concepts, which in turn will help you in discussions and when designing Kubernetes-based applications.
Data Patrons is an Edu-tech company for professional and higher education. It offers programs in business analytics, python for data science, machine learning, etc.
Big Query is about running queries on Big data. Google Big Query is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure.
These 12 data visualization books will teach you more about its theory and history, as well walk you through how to create more effective visualizations.
Implementing Streaming Use Case From REST to Hive with Apache NiFi and Apache Kafka Part 1 With Apache Kafka 2.0, Apache NiFi 1.8 and many new features and abilities coming out. It's time to put them to the test. So to plan out what we are going to do, I have a high level architecture diagram. We a...
So many times I have been asked for help with a query, where the question really comes down to the understanding of the difference between INNER and LEFT or RIGHT JOINs. I created this poster a few years ago and … MySQL JOIN Types Poster Read More »
