Showing results for "Data Science" in Money & Finance

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

FinOps brings financial accountability to the variable spend model of cloud. Used by the majority of global enterprises, this management practice has grown from a fringe activity to the de facto discipline managing cloud spend. In this book, authors J. R. Storment and Mike Fuller outline the process of building a culture of cloud FinOps by drawing on real-world successes and failures of large-scale cloud spenders. Complete with a road map to get you started, this revised second edition includes new chapters that cover forecasting, sustainability, and connectivity to other frameworks.

There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI...

It is Clinical Data Management Best Practices podcast by IBA. Scientists need professional Data managers and Tools to be able to make the right decisions and establish their hypotheses correctly. We bring you interviews with leading specialists in Data Management, Biotechnology, Life Sciences, and Digital Health.

How do I get into a data science and AI career? What roles are available to me? Do I need a STEM degree or equivalent to work in this world? What does day-to-day life look like in various data science-related roles? Can I make a positive impact on society in this role? If you have ever wondered about the answer to these questions, then you have come to the right place: The Alan Turing Institute’s Spotlight Series. In this series, which is comprised of short videos and longer podcast interviews, we ask current data science professionals working across government and academia these exact ...

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But...

Welcome to High Signal, the podcast for data science, AI, and machine learning professionals. High Signal brings you the best from the best in data science, machine learning, and AI. Hosted by Hugo Bowne-Anderson and produced by Delphina, each episode features deep conversations with leading experts, such as Michael Jordan (UC Berkeley), Andrew Gelman (Columbia) and Chiara Farranato (HBS). Join us for practical insights from the best to help you advance your career and make an impact in these rapidly evolving fields. More on our website: https://high-signal.delphina.ai/

Leaders already know that the classic approach to strategy - analyze, plan, execute - is losing relevance. But they don't yet know what replaces it. As everyone and everything becomes more interconnected and digitized, how do you operate, compete, and win? Ming Zeng, the former chief of staff and strategy adviser to Alibaba Group's founder, Jack Ma, explains how the latest technological developments, such as artificial intelligence, machine learning, the mobile internet, and cloud computing, are redefining how value is created.

The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions on our understanding of risk and the ways we live. Beginning with dramatic advances in quantitative investing and precision medicine, this book explores how predictive technology is quietly reshaping our world in fundamental ways, from crime fighting and warfare to monitoring individual health and elections.

Brought to you by Penguin. The global, open internet is fragmenting. How To Save the Internet outlines the global cooperation needed to reform Big Tech and preserve the internet as we know it. As democracies aim to control Big Tech, Silicon Valley adopts an America-first agenda, and...

This podcast will help you learn data science and programming in easiest possible way. We will be talking about changes in data science industry, how to switch to data science, interview techniques and a lot of data science stuff, so stay tuned. Connect with our community to learn data science at :- https://t.me/+M9Ev2OTyyqpjNzFl Listen to all my podcasts at : https://anchor.fm/ankit-bansal-ds Follow me on Linkedin: https://www.linkedin.com/in/ankitbansal1412/ Twitter: https://x.com/ankitbansal1412

First Arabic Podcast about Data Science. This podcast gives industry experience, insights, analysis, and research about data technologies, Artificial intelligence, and Machine Learning. أول بودكاست عن علم البيانات باللغه العربيه يقدم هذا البودكاست الخبرة والأفكار والتحليل والبحوث حول تقنيات البيانات والذكاء الاصطناعي وتعلم الآلة. يقدم البودكاست باللغه العربيه واللغه الانجليزيه https://www.linkedin.com/in/...

Deutschlands meistgehörter Data Science Podcast – jetzt reinhören, ganz ohne Anmeldung Ob Data Science, Machine Learning oder künstliche Intelligenz – in diesem Podcast bekommst du mehr als nur Theorie. Prof. Dr. René Brunner liefert verständliche Einblicke in komplexe Themen und zeigt, wie Daten echte Wirkung entfalten. Praxisnah, aktuell und inspirierend. Was dich erwartet: Jede Episode beleuchtet ein spannendes Thema – zusammen mit Expertinnen und Experten aus der Wirtschaft. Es geht um konkrete Anwendungsfälle, Best Practices und Trends direkt aus dem Unternehmensalltag. Dein ...

Welcome to the Data Science Conversations Podcast hosted by Damien Deighan and Dr Philipp Diesinger. We bring you interesting conversations with the world’s leading Academics working on cutting edge topics with potential for real world impact. We explore how their latest research in Data Science and AI could scale into broader industry applications, so you can expand your knowledge and grow your career. Every 4 or 5 episodes we will feature an industry trailblazer from a strong academic background who has applied research effectively in the real world. Podcast Website: ...

Data Science Mixer features top experts in lively and informative conversations that will change the way you do data science. We'll explore important topics in machine learning and AI with the innovators shaping the field, diving deep but keeping it light with happy hour beverages and snacks. https://community.alteryx.com/t5/Data-Science-Mixer/bg-p/mixer

Podcast Title: The Data Science Blueprint Episode Title: Welcome to The Data Science BlueprintEpisode Description:In this introductory episode of The Data Science Blueprint, Shawna shares her personal journey from accounting to data science, blending her formal education—earning a master’s degree in data science—with being largely self-taught. She offers insight into how she transitioned into the world of tech and data science, and what you can expect from the podcast.Whether you’re just starting out or looking to deepen your skills, this episode will give you an overview of the topics...

Join MedPro Systems industry veterans and subject matter experts as they dive into the new and evolving trends and regulations impacting the Life Sciences industry.

Data science is reshaping the world by unravelling valuable insights from vast datasets. Its significance lies in the ability to extract meaningful patterns, aiding decision-making across diverse sectors. From healthcare to finance, data science empowers organizations to optimize processes, enhance efficiency, and uncover previously unseen opportunities.

KPMG's podcast series addressing the basics of Data and Analytics including the difference between Data Science, AI, ML and Deep Learning.

Parlons Data Science !Entrez dans le monde de la Data Science avec DataScientest au travers de uses cases passionnant venant d'intervenants de qualité !Retrouvez également nos alumni prendre la parole à travers plusieurs podcasts 🔊Chacun de nos anciens apprenants vous parlera d'un sujet en particulier : Syndrome de l'imposteur, gestion du temps de travail ou reconversion totale, bref : leur parcours, et leur ressenti vis à vis de nos formations aux métiers de la Data : Data Analyste, Data Scientist, Data Engineer, ou encore Machine Learning Engineer.Abonnez-vous pour ne rien manquer ! ...