Search results for Investment Risk Management

Found 77 documents, 5930 searched:

• Optimization with Python: How to make the most amount of money with the least amount of risk?

  Learn how to apply Python data science libraries to develop a simple optimization problem based on a Nobel-prize winning economic theory for maximizing investment profits while minimizing risk.

  https://www.kdnuggets.com/2019/06/optimization-python-money-risk.html

• Comet.ml – Machine Learning Experiment Management

  This article presents comet.ml – a platform that allows tracking machine learning experiments with an emphasis on collaboration and knowledge sharing.

  https://www.kdnuggets.com/2018/04/comet-ml-machine-learning-experiment-management.html

• Unsupervised Investments: A Comprehensive Guide to AI Investors

  This article presents a list of 80 funds investing in Artificial Intelligence and Machine Learning.

  https://www.kdnuggets.com/2017/03/unsupervised-investments-guide-ai-investors.html

• Data Analytics Models in Quantitative Finance and Risk Management

  We review how key data science algorithms, such as regression, feature selection, and Monte Carlo, are used in financial instrument pricing and risk management.

  https://www.kdnuggets.com/2016/12/data-analytics-models-quantitative-finance-risk-management.html

• Learning from Hurricanes: Big Data Analytics, Risk, & Data Visualization

  This year, Florida has experienced its 10th consecutive year without a hurricane, which is longest period without a hurricane strike in modern times. Exploring this is worthy of some examination, as it offers us many lessons in Big Data Analytics, Risk, and Data Visualization.

  https://www.kdnuggets.com/2015/12/walker-hurricanes-big-data-analytics-risk-visualization.html

• How Predictive Analytics is Revolutionizing Decision-Making in Tech

  Learn how predictive analytics work in a business environment.

  https://www.kdnuggets.com/how-predictive-analytics-is-revolutionizing-decisionmaking-in-tech

• Investing In AI? Here Is What To Consider

  Everything you need to know about investing in AI initiatives.

  https://www.kdnuggets.com/investing-in-ai-here-is-what-to-consider

• Who Will Make Money from the Generative AI Gold Rush?

  Buckle up for the Generative AI gold rush! Will BigTech rule with its picks and shovels? Which startups will strike it rich? Will “copilot for X” be the business strategy to hit pay dirt? How can startups dig moats to keep out other prospectors? And will the US once again have the richest gold seams?

  https://www.kdnuggets.com/2023/08/make-money-generative-ai-gold-rush.html

• 5 Skills All Marketing Analytics and Data Science Pros Need Today

  Join us at the MADS conference in Washington, D.C., from Sept. 26 to 28, 2023. Learn more below and register with code KDN100 for $100 off your conference pass.

  https://www.kdnuggets.com/2023/08/mads-5-skills-marketing-analytics-data-science-pros-need-today.html

• Things You Should Know When Scaling Your Web Data-Driven Product

  Scaling your data-driven product helps grow your business, but it requires certain expertise. In this article, you will learn how scaling works and what to keep in mind while doing it.

  https://www.kdnuggets.com/2023/08/things-know-scaling-web-datadriven-product.html

• A Comprehensive Guide to MLOps

  Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

  https://www.kdnuggets.com/2023/08/comprehensive-guide-mlops.html

• Introduction to Data Science: A Beginner’s Guide

  This article is a guide for new data scientists, and it's designed to help you get started quickly. It's meant to be a starting point, but if you're already in the market for a new job, you may want to read this article more.

  https://www.kdnuggets.com/2023/07/introduction-data-science-beginner-guide.html

• Evolution of the Data Landscape

  The article follows the story of evolution in the data space through the lens of evolutionary patterns. It talks of the state of significant milestones in the evolutionary journey, their achievements, challenges, and the next milestone that solved those challenges. The article comes from both a business and technical perspective, owing to the persona of the authors.

  https://www.kdnuggets.com/2023/06/evolution-data-landscape.html

• Top 5 Advantages That CatBoost ML Brings to Your Data to Make it Purr

  This article outlines the advantages of CatBoost as a GBDTs for interpreting data sources that are highly categorical or contain missing data points.

  https://www.kdnuggets.com/2023/02/top-5-advantages-catboost-ml-brings-data-make-purr.html

• Machine Learning in the Enterprise: Use Cases & Challenges

  This article provides insights into how leading data scientists are embracing machine learning in their organizations and covers some of the major ML challenges and trends in the enterprise.

  https://www.kdnuggets.com/2022/08/dss-machine-learning-enterprise-cases-challenges.html

• How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services

  Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.

  https://www.kdnuggets.com/2022/07/ml-model-explainability-accelerates-ai-adoption-journey-financial-services.html

• Top Industries and Employers Hiring Data Scientists in 2022

  This article presents the top industries and companies that are currently actively hiring data scientists.

  https://www.kdnuggets.com/2022/06/top-industries-employers-hiring-data-scientists-2022.html

• How Has the Adoption of AI in Algorithmic Trading Affected the Finance Industry?

  Algorithmic trading is the execution of trading operations according to a given algorithm. Read on to find out more.

  https://www.kdnuggets.com/2022/04/adoption-ai-algorithmic-trading-affected-finance-industry.html

• Effective Testing for Machine Learning

  Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.

  https://www.kdnuggets.com/2022/01/effective-testing-machine-learning.html

• 10 Key AI & Data Analytics Trends for 2022 and Beyond

  What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

  https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.html

• Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022

  We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

  https://www.kdnuggets.com/2021/12/developments-predictions-data-science-analytics-industry.html

• What Does a Data Scientist Do?

  This guide provides you with the best possible, most direct, and clear answers to "What is data science?" and "What does a data scientist do?".

  https://www.kdnuggets.com/2021/12/what-does-a-data-scientist-do.html

• A Guide to 14 Different Data Science Jobs">A Guide to 14 Different Data Science Jobs

  The field of data science is growing into one that features a variety of job titles This guide reviews different positions available for you to consider if you have a data science background.

  https://www.kdnuggets.com/2021/10/guide-14-different-data-science-jobs.html

• Building and Operationalizing Machine Learning Models: Three tips for success

  With more enterprises implementing machine learning to improve revenue and operations, properly operationalizing the ML lifecycle in a holistic way is crucial for data teams to make their projects efficient and effective.

  https://www.kdnuggets.com/2021/10/building-operationalizing-machine-learning-models.html

• MLOps and ModelOps: What’s the Difference and Why it Matters

  These two terms are often used interchangeably. However, there are key distinctions between the functionality and features each provide, and the AI value and scalability at your organization depend on them.

  https://www.kdnuggets.com/2021/09/mlops-modelops-difference.html

• Computer Vision in Agriculture

  Deep learning isn’t just for placing ads or identifying cats anymore. Instead, a slew of young startups have started to incorporate the advances in computer vision made possible through larger and larger neural networks to real working robots in the fields.

  https://www.kdnuggets.com/2021/09/computer-vision-agriculture.html

• 300 Data Science Leaders Share What’s Holding Their Teams Back

  Flawed investments in people, processes, and tools are crushing potential business impact.

  https://www.kdnuggets.com/2021/09/domino-300-data-science-leaders.html

• Including ModelOps in your AI strategy

  The strategic power of AI has been established thoroughly across many industries and companies, leading to surges in model creation. Investments in the people, processes, and tools for operationalizing models, referred to as ModelOps, lag. This function of operationalizing, integrating, and deploying AI models in line with businesses value expectations is growing into a core business capability as global use of AI matures.

  https://www.kdnuggets.com/2021/08/modelops-ai-strategy.html

• AWS Webinar: How are data-driven companies using ESG and sustainability data to make actionable decisions?

  In this virtual session, on Jul 29 @ 11AM PT, 2PM ET, our panel of experts will uncover how companies across several verticals use ESG data to move beyond the reporting benchmark, deepen business insights, and create competitive differentiation.

  https://www.kdnuggets.com/2021/07/roidna-aws-webinar-data-driven-esg-sustainability-decisions.html

• Five types of thinking for a high performing data scientist"> Five types of thinking for a high performing data scientist

  The way you think about a problem and the conceptual process you go through to find a solution may be guided by your personal skills or the type of problem at hand. Many mental models exist representing a variety of thinking patterns -- and as a Data Scientist, appreciating different approaches can help you more effectively model data in the business world and communicate your results to the decision-makers.

  https://www.kdnuggets.com/2021/06/five-types-thinking-data-scientist.html

• How to Apply Transformers to Any Length of Text

  Read on to find how to restore the power of NLP for long sequences.

  https://www.kdnuggets.com/2021/04/apply-transformers-any-length-text.html

• Must Know for Data Scientists and Data Analysts: Causal Design Patterns">Must Know for Data Scientists and Data Analysts: Causal Design Patterns

  Industry is a prime setting for observational causal inference, but many companies are blind to causal measurement beyond A/B tests. This formula-free primer illustrates analysis design patterns for measuring causal effects from observational data.

  https://www.kdnuggets.com/2021/03/causal-design-patterns.html

• 10 Steps for Tackling Data Privacy and Security Laws in 2020

  Data privacy laws, such as the CCPA, GDPR, and HIPAA, are here to stay and significantly impact everyone in the digital era. These steps will guide organizations to prepare for compliance and ensure they support the fundamental privacy rights of their customers and users.

  https://www.kdnuggets.com/2020/07/10-steps-data-privacy-security-laws.html

• Free Economics & Finance Courses for Data Scientists

  Here is a selection of courses for those interested in diversifying their domain knowledge into the related realms of economics and finance, with the goal of being able to apply your data science skills to these domains.

  https://www.kdnuggets.com/2020/06/free-economics-finance-courses-data-scientists.html

• Four Ways to Apply NLP in Financial Services

  Natural language processing (NLP) is increasingly used to review unstructured content or spot trends in markets. How is Refinitiv Labs applying NLP in financial services to meet challenges around investment decision-making and risk management?

  https://www.kdnuggets.com/2020/06/four-ways-apply-nlp-financial-services.html

• 4 Realistic Career Options for Data Scientists

  It’s almost 10 years since "Data Science" became mainstream. We ask less about how to get into Data Science, but wonder "what’s next?" This article includes insights on four non-trivial, but practical, options and their pitfalls.

  https://www.kdnuggets.com/2020/04/4-career-options-data-scientists.html

• Top Process Mining Software Companies, Updated

  Understanding the real business processes of a company through analysis of its information systems can guide digital transformations. Here, the top 10 process mining software companies are reviewed that can assist businesses in process optimizations through unique insights of business systems.

  https://www.kdnuggets.com/2020/04/process-mining-software-companies.html

• Fidelity on How to Find a Tailor-Fit Unicorn Data Scientist

  Predictive Analytics World for Financial Services in Las Vegas, May 31-Jun 4 is honored to host an exceptional keynote by Fidelity Investments’ AI and Data Science Center of Excellence Leader, Victor Lo: "How to Find a Tailor-Fit 'Unicorn' Data Scientist for Financial Services". Use the code KDNUGGETS for a 15% discount on your Predictive Analytics World ticket.

  https://www.kdnuggets.com/2020/02/paw-find-tailor-fit-unicorn-data-scientist.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020

  We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

  https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-technology.html

• Top 7 Data Science Use Cases in Trust and Security

  What are trust and safety? What is the role of trust and security in the modern world? Read this overview of 7 data science application use cases in the realm of trust and security.

  https://www.kdnuggets.com/2019/12/top-7-data-science-use-cases-trust-security.html

• How AI will transform healthcare (and can it fix the US healthcare system?)">How AI will transform healthcare (and can it fix the US healthcare system?)

  This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.

  https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

• The Death of Big Data and the Emergence of the Multi-Cloud Era">The Death of Big Data and the Emergence of the Multi-Cloud Era

  The Era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multi-cloud support, machine learning, and real-time analytics.

  https://www.kdnuggets.com/2019/07/death-big-data-multi-cloud-era.html

• How AI can help solve some of humanity’s greatest challenges – and why we might fail

  AI represents a step change in humanity’s ability to rise to its greatest challenges. We explore three areas in which AI can contribute to the UN’s Global Goals - and why we could fall short.

  https://www.kdnuggets.com/2019/02/ai-help-solve-humanity-challenges.html

• How will automation tools change data science?

  This article provides an overview of recent trends in machine learning and data science automation tools and addresses how those tools will change data science.

  https://www.kdnuggets.com/2018/12/automation-data-science.html

• Modern Graph Query Language – GSQL

  This post introduces the prospect of fulfilling the need for a modern graph query language with GSQL

  https://www.kdnuggets.com/2018/06/modern-graph-query-language-gsql.html

• Top 7 Data Science Use Cases in Finance

  We have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial solutions.

  https://www.kdnuggets.com/2018/05/top-7-data-science-use-cases-finance.html

• Operational Machine Learning: Seven Considerations for Successful MLOps

  In this article, we describe seven key areas to take into account for successful operationalization and lifecycle management (MLOps) of your ML initiatives

  https://www.kdnuggets.com/2018/04/operational-machine-learning-successful-mlops.html

• How To Grow As A Data Scientist">How To Grow As A Data Scientist

  In order for a data scientist to grow, they need to be challenged beyond the technical aspects of their jobs. They need to question their data sources, be concise in their insights, know their business and help guide their leaders.

  https://www.kdnuggets.com/2018/01/how-grow-data-scientist.html

• Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018">Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

  The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.

  https://www.kdnuggets.com/2017/12/data-science-machine-learning-main-developments-trends.html

• Big Data: Main Developments in 2017 and Key Trends in 2018">Big Data: Main Developments in 2017 and Key Trends in 2018

  As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Big Data experts as to the most important developments of 2017 and their 2018 key trend predictions.

  https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

• The Qualitative Side of Quantitative Research

  Kevin and Koen may buy the same brand for the same reasons. On the other hand, they may buy the same brand for different reasons, or buy different brands for the same reasons, or even different brands for different reasons. The brands they purchase and the reasons why may vary by occasion, too.

  https://www.kdnuggets.com/2017/11/qualitative-side-quantitative-research.html

• Top 10 Videos on Machine Learning in Finance">Top 10 Videos on Machine Learning in Finance

  Talks, tutorials and playlists – you could not get a more gentle introduction to Machine Learning (ML) in Finance. Got a quick 4 minutes or ready to study for hours on end? These videos cover all skill levels and time constraints!

  https://www.kdnuggets.com/2017/09/top-10-videos-machine-learning-finance.html

• How To Write Better SQL Queries: The Definitive Guide – Part 1

  Most forget that SQL isn’t just about writing queries, which is just the first step down the road. Ensuring that queries are performant or that they fit the context that you’re working in is a whole other thing. This SQL tutorial will provide you with a small peek at some steps that you can go through to evaluate your query.

  https://www.kdnuggets.com/2017/08/write-better-sql-queries-definitive-guide-part-1.html

• Spotlight on the Remarkable Potential of AI in KYC (Know Your Customer)

  Most people would have heard of the headline-making tremendous achievements in artificial intelligence (AI): Systems defeating world champions in board games like GO and winning quiz shows. These are small realizations of AI, but there is a silent revolution taking place in other areas, including Regulatory Compliance in Financial Services.

  https://www.kdnuggets.com/2017/07/spotlight-remarkable-potential-ai-kyc.html

• The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

  What’s going on now in the field of ‘AI’ resembles a soap bubble. And we all know what happens to soap bubbles eventually if they keep getting blown up by the circus clowns (no pun intended!): they burst.

  https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html

• Do You Suffer From Analytic Personality Disorder (APD)?

  Read this lighthearted take on Analytics Personality Disorder, a (nonexistent) syndrome for those obsessed with analytics.

  https://www.kdnuggets.com/2016/11/analytic-personality-disorder.html

• Thinking About Analytics Readiness

  This article touches upon an important but under-discussed topic of analytics readiness, including whether and when organizations should engage in analytics.

  https://www.kdnuggets.com/2016/06/thinking-domain-readiness.html

• Where are the Opportunities for Machine Learning Startups?

  Machine learning has permeated data-driven businesses, which means almost all businesses. Here are a few areas where it’s possible that big corporations haven’t already eaten everybody’s lunch.

  https://www.kdnuggets.com/2016/06/opportunites-machine-learning-startups.html

• Three Pitfalls to Avoid When Building Data Science Into Your Business

  An overview of pitfalls to avoid when building data science into your business, how to avoid them, and what to do instead.

  https://www.kdnuggets.com/2016/04/pitfalls-building-data-science-business.html

• How to Tackle a Lottery with Mathematics

  With mathematical rigor and narrative flair, Adam Kucharski reveals the tangled history of betting and science. The house can seem unbeatable. In this book, Kucharski shows us just why it isn't. Even better, he shows us how the search for the perfect bet has been crucial for the scientific pursuit of a better world.

  https://www.kdnuggets.com/2016/01/how-tackle-lottery-mathematics.html

• How big data can help in home health care?

  Proper home care services can reduce both the chances and the cost of hospitalization and manage illness. Understand what big data promises for the healthcare sector and what are practical hurdles standing between the current solutions.

  https://www.kdnuggets.com/2015/10/big-data-home-healthcare.html

• Paradoxes of Data Science

  There are many paradoxes, ironies and disconnects in today’s world of data science: pain points, things ignored, shoved under the rug, denied or paid lip.

  https://www.kdnuggets.com/2015/08/paradoxes-data-science.html

• Interview: Eli Collins, Cloudera on Evolution and Future of Big Data Ecosystem

  We discuss the change in Big Data priorities, risks, Big Data ecosystem, rise of data culture in organizations, challenges, advice and more.

  https://www.kdnuggets.com/2015/02/interview-eli-collins-cloudera-big-data-ecosystem.html

• KDnuggets™ News 14:n27, Oct 22

  Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n27.html

• KDnuggets™ News 14:n26, Oct 8

  Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP Read more »

  https://www.kdnuggets.com/2014/n26.html

• KDnuggets™ News 14:n14, Jun 10

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  https://www.kdnuggets.com/2014/n14.html

• Stacking the Deck: The Next Wave of Opportunity in Big Data

  A leading venture capitalist explains why Big Data infrastructure market is mostly mature and where lies the next big area of opportunities related to Big Data.

  https://www.kdnuggets.com/2014/05/stacking-deck-next-wave-opportunity-big-data.html

• KDnuggets™ News 14:n12, May 21

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  https://www.kdnuggets.com/2014/n12.html

• KDnuggets™ News 14:n03, Feb 5

  Features (9) | Software (4) | Webcasts (2) | Courses, Events (9) | Meetings (3) | Jobs (9) | Academic (3) | Competitions (1) | Publications (7) | Tweets (7) | NewsBriefs (3) | CFP (14) | Quote Features Top Trends in Analytics and Big Data ahead of Strata 2014 Read more »

  https://www.kdnuggets.com/2014/n03.html

• 2013 Nov: Analytics, Big Data, Data Mining and Data Science Posts

  All (116) | News, Software (28) | Courses, Events (23) | Jobs | Academic | Publications (36) Yahoo SAMOA, Open Source Platform for Mining Big Read more »

  https://www.kdnuggets.com/2013/11/index.html

• Data Mining, Data Science, and Analytics News, Oct 2013

  All (109) | News, Software (30) | Courses, Events (28) | Jobs | Academic | Publications (32) Adjunct Faculty, develop and teach courses Data Mining, Read more »

  https://www.kdnuggets.com/2013/10/index.html

• KDnuggets™ News 13:n27, Nov 13

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• KDnuggets™ News 13:n22, Sep 10

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• KDnuggets™ News 13:n14, Jun 5

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• Solutions using Analytics, Data Mining and Data Science

  SaaS Analytics, analytics on-demand, analytics in the cloud. BI (Business Intelligence), Database and OLAP software Bioinformatics and Pharmaceutical solutions CRM (Customer Relationship Management) Data Providers, Read more »

  https://www.kdnuggets.com/solutions/index.html

• KDnuggets™ News 13:n08, Mar 27

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  https://www.kdnuggets.com/2013/n08.html

• KDnuggets™ News 13:n03, Feb 13

  Features (9) | Software (6) | Webcasts (2) | Courses, Events (3) | Jobs (6) | Meetings (5) | Academic (1) | Competitions (4) | Publications Read more »

  https://www.kdnuggets.com/2013/n03.html