Optimizing Large Language Models: Techniques and Future Directions for Efficiency

Making AI transparent- The What, Why and  How of Explainable AI 

Insights from the Data Science Salon’s AI & Machine Learning Conference in San Francisco

Tackling burnout with Large Language Models

Data Privacy Challenges with Large Language  Models

Introduction: From Simple to Multiple Linear Regression

Exchanging Knowledge and Insights About AI and ML with DSS Community Events

Understanding Customer Concerns in Retail: A review of LLMs and Traditional ML-based methods for Topic Modeling and Multi-label Classification

Machine Learning in Production

Selection Bias in product analytics and common pitfalls

Data Literacy as a Basic Need: The Vital Role of Data Literacy in the AI Era for Bridging the Gap

Linear regression basics guide - part 1

Graphing Wisdom: Empowering Large Language Models using Knowledge Graphs

DSS NYC 2024 - practical examples of leveraging AI for Finance

250+ women in AI and Machine Learning to follow - Data Science Salon guide

DSS NYC 2024 - where Finance meets AI and Machine Learning

Unlocking insights: The art and science of data visualization

Leveraging diverse data sources: An introduction to entity resolution

Ten Things to Know About Your AI Solutions

A deep dive into LLMs practice - Convergence 2024

A Critical Role of AI in Cybersecurity

How AI is making humans more (not less) valuable

Fraud Detection using AI: A Shield in a Constantly Shifting Technological Landscape

Defending Against Adversarial Attacks in the Era of Generative AI

Solving the Filter Bubble Problem using Machine Learning

Applications of Generative AI in the enterprise - case studies

Data driven decision making: Using Causal Inference for E-commerce growth

Key opportunities to use the generative AI in the enterprise

Decoding Adversarial Attacks: Types and Techniques in the Age of Generative AI

Demystifying Prompt Engineering for ChatGPT

Challenges for AI in e-commerce

Simple guide to AI in eCommerce

Generative AI and Cybersecurity: Understanding the Landscape

Data Science vs Business Analytics

Enhancing the generative AI answers with ML-based tagging and text shortening

Comparing AutoML Frameworks: A Comprehensive Review

Visual Commerce Transformed: A Deep Dive into Generative AI's Potential and Challenges

Decoding Data: Data Science vs Data Analytics Explained

Federated Learning for Privacy-Preserving AI: An In-Depth Exploration

DSS Miami 2023: Generative AI's Transformative Journey

Knowledge Graphs and LLMs - tackling limitations with synergy

Data Science Salon Miami 2023 Experts guide to generative AI challenges

Data Science Salon Miami 2023 Experts’ Guide to Generative AI in the Enterprise

Meta-Learning and Few-Shot Learning: Adapting Deep Learning Models to Learn from Limited Data

Correlation and Regression Analysis: Exploring Relationships in Data

Machine Learning Podcasts: Top Shows for Deepening Your Understanding

Using Deep Learning for Anomaly Detection in Cybersecurity

A Deeper Look into Generative AI and LLMs

What a Wonderful Week at DSSNYC

What AI means to Media & Advertising in 2023

Machine Learning for Quantitative Finance: Use Cases and Challenges

Responsible Application of Generative AI – Human-AI Collaboration

Bridging the Data Fluency Gap: Strategies in Digital Thinking for Enterprises Approaching AI

Future Proofing Women in Tech: Breaking Barriers & Brighter Outcomes

Best of DSS ATX: Industry Leaders’ Insights on AI & Machine Learning in the Enterprise

The Significance of AIOps

Experimental Unsupervised Log Anomaly Detection

Explainability – A Must-Have Skill in a Data Scientist's Toolkit

9 Things We Learned at Data Science Salon NYC 2022

Product Innovation and Enterprise AI in Finance

Knowledge Graphs in E-Commerce

How AI is Augmenting the Digital Transformation in Finance

Git Your Way Up Collaboration

Generalization Power of Machine Learning Algorithms

11 Takeaways from Data Science Salon Miami 2022

An Agile Approach to Data Strategy

Designing a Successful Enterprise AI Strategy

Demystifying Quantum Machine Learning

Future-Proofing Your Big Data Infrastructure

Building a Champion Data Engineering Team

Top Data Science Conferences to Attend in 2023

The Significance of Adopting Data Democratization as a Culture

Cloud Migration and its Benefits

Bringing DSS Back to Miami with a Unique Hybrid Event Experience

All You Need to Know about MLOps: Summary from Coffee Chat at DataConnect Conference

Becoming a Female Leader in Data Science

5 Winning Data Engineering Strategies for 2022

Dashboard Design Thinking

A Go-To Playbook for Multiple ML Retraining Strategies

How AI is Bolstering the Transformation in the Retail Industry

5 Tips to Successfully Implement ML in the Enterprise

Announcing DSSe at DataConnect Conference 2022

Machine learning Projects: Lab to Live Journey

A dogma of bias and variance

Using NLP to analyze customer feedback

Top 13 Data Science and Machine Learning Slack Communities

Interpretable Machine Learning and How to Build Trust in our Models

A Quick Guide to Data Monetization Strategies

How Natural Language Processing Supports Financial Services

How cloud computing benefits data science

Meet Hex Tiles: The Next Gen Tiling System for Large-Scale Spatial Analytics

Data analytics at the edge: benefits and challenges

Graph for All Million Dollar Challenge to tackle global challenges

AI and ML Applications in the Legal Industry

The role that AI and machine learning plays in cybersecurity

5 Winning Tactics for Data Literacy

MLOps: Enabling Machine Learning in the Wild

Data Science Predictions for 2022

Top AI applications across 5 major industries

Top Data Science Breakthroughs in 2021

Main Types of Annotation in Machine Learning

Top 5 Data Science Talks hosted at DSS

Use Data as Safely and Anonymously as Listening to Over-the-Air Radio

🎉 Celebrating 5 years DSS: an incredible journey

List of Top Data Science Communities to Join

Upskilling Opportunities for Data Scientists

Natural Language Processing for Beginners

Using data for personalization and recommendations at scale in retail

The State of AI Infrastructure 2021: Industry Report

The Future of Retail with Behavioral Data

The Role of Enterprise AI to Predict Content Performance and Trends

How to Bridge the Gender Gap in Tech

Why we need more women in data science now

5 Job Hunting Tips for Female Data Scientists

Imposter Syndrome: if you can’t overcome it, use it!

11 Communities for Women in Data Science to Join

The Power of Holistic ML for Business Growth

Driving Innovation in Ecommerce with AI: Best Practices and Trends

How Stitch Fix uses AI to predict what style a customer will love

How to Use Data and AI to Measure ESG Performance

Five things you might not be considering about your MLOps needs

Making Sure People Count with Big Data and Machine Learning

Highlights and Takeaways from DSSVirtual at VBTransform 2021

Time Series Forecasting in Retail

Being Agile While Developing AI Products

Adopting Machine Learning to Drive Revenue and Market Share

How to Monetize and Productize Data Science

Clickstream Data Mining With Markov Chain and cSPADE

How Does Auto ML Help Ask the Right Business Question?

Making Visual AI Ready for Mass Deployment

DSS Virtual: Media, Advertising & Entertainment Speakers on Big AI Trends and Challenges Impacting Their Industries

Do Neural Networks Really Need to Be So Big?

The Role of Natural Language Processing in Healthcare

Recapping DSSVirtual with a Data ‘Bang’ in Healthcare, Finance & Technology

Data Science Use Cases and Challenges in Healthcare in 2021

6 Data Science Trends to Watch in 2021

A Guide to Differential Privacy at Scale

Data Science Opportunities and Challenges in Retail amidst COVID-19

Using machine learning for content recommendations: Q&A with The New York Time's data science director

Top 25 Data Science Influencers to Follow in 2022

The Data Diet: How Data Journalism Becomes Sustainable

#BlackoutTuesday

Full Exposure: What Would Life Be Like Without Privacy?

Bias and Interpretability in Machine Learning

Leveraging Machine Learning and Open Data for Smart Cities

What Indeed’s Job Market Data Tells Us About Trends in Data Science

Building Data Science Infrastructure

Introducing AutoML

DSS ATX: Human & Machine Working Across the Maturing Data Lifecycle

Operationalizing Data Science

Time Series Analysis with Pandas

AI and the Index Management Problem

Medical Content Management Concepts And A Roadmap To Support Clinical Decision Support Software In A Global Marketplace

Automated Forecasting using AutoTS in RemixAutoML for R

Using Data Science for Digital Transformation at Carnival Cruise Line

How is Synthetic Media Transforming the Media Landscape?

Algorithmic Recommendations at The New York Times

Data Science Salon Miami Speakers Speak On Major AI Trends Affecting Their Industries

Customer Lifetime Values: Revisions for a Digital Retail Brand

DSS Elevate Panel at DSS NYC

Data Science That Works: Building Impactful Products for Media Clients

DSS NYC Speakers Weigh In On What Makes Data Effective

Solving Explainable AI Challenges For The FICO Score

Building a true enterprise data governance platform for the modern machine learning era

Highlights from Data Science Salon New York 2019

DSSe Austin Panel

AI will become boring – after it changes everything

Do women's tech groups make a difference?

Data Science and Entertainment Production at Netflix

Analytical approaches to understanding customer retention at Hulu

Machine Learning and Finance; Defining Use Cases and Gathering Data

Multivariate Time Series Forecasting Using Statistical Models and Neural-Network Based Models

DSSe April Newsletter

Interactive DataViz in Credit Apps: The Changing Face of Credit Analysis

THE UX OF DATA

APPLICATIONS OF EMBEDDINGS AND DEEP LEARNING AT GROUPON

DSSe March Newsletter

One More Thought On Imposter Syndrome

How I used my failures to overcome feeling like an imposter

Tuesdays Together Cultivates a Vibrant Community of Data Mavens

Announcing DSSe

Ten Tactics for Introverts in Open Office Plans

Automated Machine Learning: Using AI to build better AI

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