In this talk we will reflect on the challenges facing students who actively use English in different areas and situations in their lives. We will also explore what different needs these students can have and will look at implications for choosing texts and materials.
In this talk we will reflect on the challenges facing students who actively use English in different areas and situations in their lives. We will also explore what different needs these students can have and will look at implications for choosing texts and materials.
Conseguenze e valutazioni per le famiglie ed imprese detentrici di titoli di ...Giorgio Zoppo
L'articolo è uno stralcio di un trattato che ho scritto per l'università ove viene valutata in maniera semplicizzata la bontà nel detenere il proprio risparmio SOLO BTP rispetto alla bontà nel detenere SOLO gestioni finanziarie a basso profilo GESTITE (come la stragrande maggioranza dei miei clienti) che sono composte NON SOLO da titoli obbligazionari ma ANCHE da una minima percentuale di azioni e materie prime creando il cosiddetto principio della diversificazione.
Ringrazio per l'ospitalità e la splendida location HI.FI Natali e tutto lo staff, Alessio Cintelli per la cura e la qualità delle bevande, e tutti gli intervenuti.
How organizations can become data-driven: three main rulesAndrea Gigli
The presentation shows how organization can successfully become data driven and avoid wasting time and money. It explain how to prioritize business questtions, how to combine properly people, tech&data and processes, and how to structure a transforamtional journey for becoming a data driven.
Cosa si intende per Data Analytics e Data Science.
Perché i dati rappresentano una risorsa strategica in ogni settore industriale e il ruolo della Data Science nelle aziende.
La Data Science in pratica: obiettivi strategici e processo di creazione del valore.
La professione del Data Scientist: management, leadership, recruiting.
Balance-sheet dynamics impact on FVA, MVA, KVAAndrea Gigli
In this talk I show how balance-sheet dynamics and changes in the Asset/Liability portfolio have and impact on the calculation of FVA, MVA and KVA through a simple multi-period structural model.
Recommendation Systems in banking and Financial ServicesAndrea Gigli
Robot advisory is a hot topic in Banking and Finance nowadays. The quality of any Robot relies on its ability to anticipate the choices of customers and engage them toward action. For this reason, recommendation systems are gaining ground in the banking sector as an alternative or supplementary approach to classical Portfolio Selection models. In this talk, I show how to build recommendation systems in Python using two different ideas, one inspired by graph theory, and the other by word embedding
Fast Feature Selection for Learning to Rank - ACM International Conference on...Andrea Gigli
My talk on fast feature selection filter algorithms at the ACM International Conference on the Theory of Information Retrieval (ICTIR 2016) held in Newark, DE, US
Feature Selection for Document RankingAndrea Gigli
Feature selection for Machine Learning applied to Document Ranking (aka L2R, LtR, LETOR). Contains empirical results on Yahoo! and Bing public available Web Search Engine data.
Impact of Valuation Adjustments (CVA, DVA, FVA, KVA) on Bank's Processes - An...Andrea Gigli
The talk hold in London on September 10th at the 5th Annual XVA Forum on Funding, Capital and Valuation. It covered some implications of Valuation Adjustments like CVA, DVA, FVA and KVA (XVAs) in the Pricing of Derivatives, Data Model Definition, Risk Management, Accounting, Trade Workflow processing.
Comparing Machine Learning Algorithms in Text MiningAndrea Gigli
In this project I compare different Machine Learning Algorithm on different Text Mining Tasks.
ML algorithms: Naive Bayes, Support Vector Machine, Decision Trees, Random Forest, Ordinal Regression as ML task
Tasks considered: Classifying Positive and Negative Reviews, Predicting Review Stars, Quantifying Sentiment Over Time, Detecting Fake Reviews