data science – Buonaiuto@Work

Learning World Models Better Than The World Itself

Massimo2022-09-0504,K views

The blog post delves into the concept of learning world models more effectively than reality itself, focusing on Denoised MDPs (Markov Decision Processes). By filtering out irrelevant information, these models enhance an agent’s decision-making capabilities. This innovative approach, elucidated by Wang et al., demonstrates how artificial agents can discern and utilize only pertinent data for optimal performance in various tasks. Through rigorous experimentation and theoretical groundwork, the study showcases the superiority of denoised world models over conventional methods. Explore more about Denoised MDPs and their implications in navigating complex environments.

Interleaving algorithm for optimization of neural networks with self-learning perceptrons

Massimo2022-01-010408 views

Exploring the Efficiency of Interleaving Algorithms in Neural Network Optimization, this study introduces a novel application of team draft interleaving, diverging from traditional A/B testing methods. By simulating a sports team selection process, this approach enhances compound selection from a dataset. Highlighting its utility in artificial intelligence, particularly in self-learning perceptrons, the method enables perceptrons to adapt activation functions dynamically. This preemptive adjustment, facilitated by interleaving, marks a significant departure from conventional error backpropagation, demonstrating potential for more responsive learning mechanisms in neural networks.

Speaker at “AI, Data Analytics & Insights Summit – DACH”, 11th – 12th November 2021

Massimo2021-07-060419 views

At the upcoming “AI, Data Analytics & Insights Summit – DACH” on 11th – 12th November 2021, a session will be dedicated to exploring Artificial Intelligence applications within Research and Development. This interactive, senior-level online meeting will convene 250 experts from the DACH region, offering a unique platform for sharing insights and advancements in the field.

How many fields in data science?

Massimo2021-06-270397 views

Data Science is a research activity… mostly Data-driven scientific discovery is regarded as the fourth science paradigm The twenty-first century has ushered in a new age that is coined as data science and big data analytics. Data-driven scientific discovery is regarded as the fourth science paradigm. Data science has been a core driver of the new-generation science, technologies and economy, and is driving new researches, innovation, profession, applications and education across both disciplines and business domains. There are many scientific and technical challenges associated with big data, ranging from data capture, creation, storage, search, sharing, modeling, representation, analysis, learning, visualization, explanation, and decision making. Among the many data characteristics and complexities to be addressed, I mention the hybridization of heterogeneous, multisource, hierarchical, interactive, dynamic,…

Speaker at the next Future Labs 2021

Massimo2021-01-290421 views

In the realm of innovation, Future Labs Live 2021 stands as a beacon, uniting over eighty global experts in a comprehensive dialogue on the forefront of digital transformation, data science, Artificial Intelligence, and Machine Learning. This event, spanning two days, is pivotal, addressing the urgent need for technological, organisational, and cultural shifts across industries.

Download my book

Massimo2017-09-120459 views

Unlock the power of your website with our guide on measuring impact through data analytics. Learn to evaluate usage, usability, and usefulness to enhance audience engagement and achieve your objectives. Download our book today for essential insights and practical examples. Improve your website’s impact with web analytics, surveys, and purpose-driven strategies. Ensure your website’s success by understanding and implementing the 3Us effectively. Don’t miss out on this valuable resource for communication specialists, information managers, and IT technical specialists.

Leveraging Advanced Sensor Technology for Climate Change Assessment at the United Nations

Massimo2017-06-020479 views

Introduction In my role as a senior manager at the United Nations, I had the unique opportunity to lead a team of data scientists and architects on a groundbreaking climate change project. The project aimed to provide actionable insights on the impact of climate change on agrobiodiversity and plant genetics. Utilizing a range of advanced sensors, we were able to capture a wealth of data, enabling us to make accurate models and analyses. This article delves into the specifics of the sensor technology used and the invaluable data collected for climate change assessment. https://www.youtube.com/watch?v=JNAELNPlzy4&cc_load_policy=1&cc_lang_pref=EN The Sensor Arsenal Soil Moisture Sensors These sensors were crucial in understanding how changing climate conditions affect soil water content, a key factor in plant health.…

Ridge Regression with Scikit-Learn

Massimo2015-02-030345 views

Ridge Regression with Scikit-Learn offers powerful techniques for robust predictive modeling. Learn to implement it effortlessly with closed-form solutions or opt for Stochastic Gradient Descent for versatility and efficiency. Elevate your predictive analytics game with Scikit-Learn’s Ridge Regression.