Luca Massaron

Luca Massaron is a data scientist specialized in organizing and interpreting big data and transforming it into smart data by means of the simplest and most effective data mining and machine learning techniques. Because of his job as a quantitative marketing consultant and marketing researcher, he has been involved in quantitative data since 2000 with different clients and in various industries, and is one of the top 10 Kaggle data scientists.

Articles & Books From Luca Massaron

Artificial Intelligence For Dummies
Dive into the intelligence that powers artificial intelligence Artificial intelligence is swiftly moving from a sci-fi future to a modern reality. This edition of Artificial Intelligence For Dummies keeps pace with the lighting-fast expansion of AI tools that are overhauling every corner of reality. This book demystifies how artificial intelligence systems operate, giving you a look at the inner workings of AI and explaining the important role of data in creating intelligence.
Cheat Sheet / Updated 04-12-2024
A wide range of tools is available that are designed to help big businesses and small take advantage of the data science revolution. Among the most essential of these tools are Microsoft Power BI, Tableau, SQL, and the R and Python programming languages.Comparing Microsoft Power BI and ExcelMicrosoft markets Power BI as a way to connect and visualize data using a unified, scalable platform that offers self-service and enterprise business intelligence that can help you gain deep insights into data.
Data Analytics & Visualization All-in-One For Dummies
Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.
Algorithms For Dummies
Your secret weapon to understanding—and using!—one of the most powerful influences in the world todayFrom your Facebook News Feed to your most recent insurance premiums—even making toast!—algorithms play a role in virtually everything that happens in modern society and in your personal life. And while they can seem complicated from a distance, the reality is that, with a little help, anyone can understand—and even use—these powerful problem-solving tools!
Article / Updated 04-12-2021
One of the machine learning applications of working with images that affects nearly everyone today is computer vision, which is the technique of viewing the individual objects within a frame from a camera or some other source.When you look at an image, you see objects— perhaps individual people, stoplights, cars, and other items.
Article / Updated 04-12-2021
Improving a decision tree by replicating it many times and averaging results to get a more general solution sounded like such a good idea that it spread, and both academics and practitioners derived various solutions. When the problem is a regression, the technique averages results from the ensemble. However, when the trees deal with a classification task, the technique can use the ensemble as a voting system, choosing the most frequent response class as an output for all its replications.
Article / Updated 04-12-2021
Even though supervised learning is the most popular and frequently used of the three types, all machine learning algorithms respond to the same logic. The central idea is that you can represent reality using a mathematical function that the algorithm doesn’t know in advance but can guess after having seen some data.
Article / Updated 04-12-2021
You can use a number of packages to perform machine learning tasks. This article tells you how to obtain your copy of Anaconda, the Anaconda3-2020.07 version. Here's a brief overview of Anaconda as a product. How to download Anaconda The basic Anaconda package is a free download that you obtain at Anaconda.com.
Article / Updated 04-12-2021
Machine learning is only part of what a system requires to become an AI. The machine learning portion of the picture enables an artificial intelligence (AI) to perform these tasks: Adapt to new circumstances that the original developer didn’t envision Detect patterns in all sorts of data sources Create new behaviors based on the recognized patterns Make decisions based on the success or failure of these behaviors The use of algorithms to manipulate data is the centerpiece of machine learning.
Machine Learning For Dummies
One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale.