Search results for Information Policies

Found 100 documents, 5928 searched:

• The Case of Homegrown Large Language Models

  Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.

  https://www.kdnuggets.com/the-case-of-homegrown-large-language-models

• What Is Data Lineage, And Why Does It Matter?

  If you’ve ever had conversations with data professionals, you’ve probably heard “data lineage” pop up quite a few times. So what is data lineage all about, and why is it important?

  https://www.kdnuggets.com/what-is-data-lineage-and-why-does-it-matter

• Data Maturity: The Cornerstone of AI-Enabled Innovation

  This article outlines strategies for overcoming data maturity challenges and accelerating AI adoption.

  https://www.kdnuggets.com/data-maturity-the-cornerstone-of-ai-enabled-innovation

• A Data Lake, You Call It? It’s a Data Swamp

  How and why the data lake architecture often fails to meet its promises. And how better governance helps mitigate such challenges.

  https://www.kdnuggets.com/a-data-lake-you-call-it-it-a-data-swamp

• Strategies for Optimizing Performance and Costs When Using Large Language Models in the Cloud

  There are many cases where your LLM underperforms and costs you too much in the cloud platform. Simple strategies help you avoid that.

  https://www.kdnuggets.com/strategies-for-optimizing-performance-and-costs-when-using-large-language-models-in-the-cloud

• Beyond Human Boundaries: The Rise of SuperIntelligence

  From ANI to AGI and Beyond: Deciphering AI's Evolutionary Path.

  https://www.kdnuggets.com/beyond-human-boundaries-the-rise-of-superintelligence

• Job Trends in Data Analytics: Part 2

  Check out these skillsets in demand for the data analytics job market.

  https://www.kdnuggets.com/job-trends-in-data-analytics-part-2

• Building Data Pipelines to Create Apps with Large Language Models

  For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.

  https://www.kdnuggets.com/building-data-pipelines-to-create-apps-with-large-language-models

• RAG vs Finetuning: Which Is the Best Tool to Boost Your LLM Application?

  The definitive guide for choosing the right method for your use case.

  https://www.kdnuggets.com/rag-vs-finetuning-which-is-the-best-tool-to-boost-your-llm-application

• Job Trends in Data Analytics: NLP for Job Trend Analysis

  Perform job trend analysis and check the results using NLP.

  https://www.kdnuggets.com/job-trends-in-data-analytics-nlp-for-job-trend-analysis

• Want to Become a Data Scientist? Part 2: 10 Soft Skills You Need

  A quick 10-step soft skill guide on what you need to become a Data Scientist.

  https://www.kdnuggets.com/want-to-become-a-data-scientist-part-2-10-soft-skills-you-need

• This Week in AI, August 18: OpenAI in Financial Trouble • Stability AI Announces StableCode

  "This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

  https://www.kdnuggets.com/2023/08/this-week-ai-2023-08-18.html

• Whose Responsibility Is It To Get Generative AI Right?

  The limitless possibilities of the technology that transcends boundaries.

  https://www.kdnuggets.com/2023/08/whose-responsibility-get-generative-ai-right.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

• This Week in AI, August 7: Generative AI Comes to Jupyter & Stack Overflow • ChatGPT Updates

  "This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

  https://www.kdnuggets.com/2023/mm/this-week-ai-2023-08-07.html

• This Week in AI, July 31: AI Titans Pledge Responsible Innovation • The Beluga Invasion

  "This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

  https://www.kdnuggets.com/2023/07/this-week-ai-2023-07-31.html

• Unlocking the Power of Numbers in Health Economics and Outcomes Research

  Learn about the quantitative challenges that are present in HEOR research and how statistics can be used to address these issues.

  https://www.kdnuggets.com/2023/07/unlocking-power-numbers-health-economics-outcomes-research.html

• ChatGPT Plugins: Everything You Need To Know

  Learn more about the third-party plugins that OpenAI have rolled out to understand ChatGPTs in real-world use.

  https://www.kdnuggets.com/2023/06/chatgpt-plugins-everything-need-know.html

• The Effects of ChatGPT in Schools and Why It’s Getting Banned

  Many schools are banning ChatGPT for plagiarism, accuracy and privacy concerns. However, the chatbot could help students and teachers with the right application.

  https://www.kdnuggets.com/2023/06/effects-chatgpt-schools-getting-banned.html

• OpenAI’s Approach to AI Safety

  What will happen with safety approaches in AI systems after OpenAI’s CEO Sam Altman testified about the concerns around new technology?

  https://www.kdnuggets.com/2023/06/openai-approach-ai-safety.html

• A Deep Dive into GPT Models: Evolution & Performance Comparison

  The blog focuses on GPT models, providing an in-depth understanding and analysis. It explains the three main components of GPT models: generative, pre-trained, and transformers.

  https://www.kdnuggets.com/2023/05/deep-dive-gpt-models.html

• The Future of Work: How AI is Changing the Job Landscape

  With more and more companies integrating artificial intelligence into the workplace, what does this mean for employees' futures and careers?

  https://www.kdnuggets.com/2023/04/future-work-ai-changing-job-landscape.html

• Introducing the Testing Library for Natural Language Processing

  Deliver reliable, safe and effective NLP models.

  https://www.kdnuggets.com/2023/04/introducing-testing-library-natural-language-processing.html

• 5 Data Management Challenges with Solutions

  This report provides an overview of the challenges that arise in data management and the solutions that can help overcome these challenges.

  https://www.kdnuggets.com/2023/04/5-data-management-challenges-solutions.html

• How Watermarking Can Help Mitigate The Potential Risks Of LLMs?

  Adding embedding signals into generated text can help mitigate potential risks of plagiarism, misinformation, and abuse in large language models.

  https://www.kdnuggets.com/2023/03/watermarking-help-mitigate-potential-risks-llms.html

• First Open Source Implementation of DeepMind’s AlphaTensor

  The first open-source implementation of AlphaTensor has been released and opens the door for new developments to revolutionize the computational performance of deep learning models.

  https://www.kdnuggets.com/2023/03/first-open-source-implementation-deepmind-alphatensor.html

• Key Factors Affecting the Time to Insights

  This report provides an overview of the key factors affecting the time to insights, including the benefits of BI and the need for tailored solutions.

  https://www.kdnuggets.com/2023/03/key-factors-affecting-time-insights.html

• Tapping into the Potential of Data Products in 2023

  Learn how data can be treated as a product and how it can be used to derive value.

  https://www.kdnuggets.com/2023/01/tapping-potential-data-products-2023.html

• Social User Authentication in Django Framework

  Learn how to perform social user authentication in the Django web app using third-party services like Google.

  https://www.kdnuggets.com/2023/01/social-user-authentication-django-framework.html

• Data Lakes and SQL: A Match Made in Data Heaven

  In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

  https://www.kdnuggets.com/2023/01/data-lakes-sql-match-made-data-heaven.html

• Machine Learning Metadata Store

  In this article, we will learn about metadata stores, the need for them, their components, and metadata store management.

  https://www.kdnuggets.com/2022/08/machine-learning-metadata-store.html

• Data Governance and Observability, Explained

  Let’s dive in and understand the ins and outs of data observability and data governance - the two keys to a more robust data foundation.

  https://www.kdnuggets.com/2022/08/data-governance-observability-explained.html

• Why is Data Management so Important to Data Science?

  High data availability may help power digital transformation, but data management systems are needed to keep that data organized and make it accessible. Read this article to see why data management is important to data science.

  https://www.kdnuggets.com/2022/08/data-management-important-data-science.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

• 15 Trending MLOps Talks You can Access for Free at ODSC East 2022

  Covering topics like workflows and full-stack machine learning, these are 15 free MLOps talks coming to #ODSCEast 2022 that you can see with a free Bronze Pass.

  https://www.kdnuggets.com/2022/04/odsc-15-trending-mlops-talks-access-free-odsc-east-2022.html

• The Range of NLP Applications in the Real World: A Different Solution To Each Problem

  Most companies look at it like it’s one big technology, and assume the vendors’ offerings might differ in product quality and price but ultimately be largely the same. Truth is, NLP is not one thing; it’s not one tool, but rather a toolbox.

  https://www.kdnuggets.com/2022/03/different-solution-problem-range-nlp-applications-real-world.html

• How to Get Into Data Analytics If You Don’t Have the Right Degree

  So, is a career in data analytics a good fit for you?

  https://www.kdnuggets.com/2021/12/how-to-get-into-data-analytics.html

• The Evolution of Tokenization – Byte Pair Encoding in NLP

  Though we have SOTA algorithms for tokenization, it's always a good practice to understand the evolution trail and learning how have we reached here. Read this introduction to Byte Pair Encoding.

  https://www.kdnuggets.com/2021/10/evolution-tokenization-byte-pair-encoding-nlp.html

• Smart Ingestion: Using ontology-driven AI

  Imagine data that organizes itself to power your decision-making.

  https://www.kdnuggets.com/2021/09/smart-ingestion-ontology-driven-ai.html

• MLOps is an Engineering Discipline: A Beginner’s Overview

  MLOps = ML + DEV + OPS. MLOps is the idea of combining the long-established practice of DevOps with the emerging field of Machine Learning.

  https://www.kdnuggets.com/2021/07/mlops-engineering-discipline.html

• FluDemic – using AI and Machine Learning to get ahead of disease

  We are amidst a healthcare data explosion. AI/ML will be more vital than ever in the prevention and handling of future pandemics. Here, we walk you through the different facets of modeling infectious diseases, focusing on influenza and COVID-19.

  https://www.kdnuggets.com/2021/04/fludemic-ai-machine-learning-disease.html

• Using Data Science to Predict and Prevent Real World Problems

  Do you have an interest in data science but lack an understanding of what, exactly, it can be used to accomplish in the real world? Read this article for a few examples of just how helpful data science can be for predicting and preventing real world problems.

  https://www.kdnuggets.com/2021/04/data-science-predict-prevent-real-world-problems.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

• Machine learning adversarial attacks are a ticking time bomb

  Software developers and cyber security experts have long fought the good fight against vulnerabilities in code to defend against hackers. A new, subtle approach to maliciously targeting machine learning models has been a recent hot topic in research, but its statistical nature makes it difficult to find and patch these so-called adversarial attacks. Such threats in the real-world are becoming imminent as the adoption of machine learning spreads, and a systematic defense must be implemented.

  https://www.kdnuggets.com/2021/01/machine-learning-adversarial-attacks.html

• Top 10 Computer Vision Papers 2020">Top 10 Computer Vision Papers 2020

  The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.

  https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html

• 2020: A Year Full of Amazing AI Papers — A Review

  So much happened in the world during 2020 that it may have been easy to miss the great progress in the world of AI. To catch you up quickly, check out this curated list of the latest breakthroughs in AI by release date, along with a video explanation, link to an in-depth article, and code.

  https://www.kdnuggets.com/2020/12/2020-amazing-ai-papers.html

• Production Machine Learning Monitoring: Outliers, Drift, Explainers & Statistical Performance

  A practical deep dive on production monitoring architectures for machine learning at scale using real-time metrics, outlier detectors, drift detectors, metrics servers and explainers.

  https://www.kdnuggets.com/2020/12/production-machine-learning-monitoring-outliers-drift-explainers-statistical-performance.html

• A Friendly Introduction to Graph Neural Networks

  Despite being what can be a confusing topic, graph neural networks can be distilled into just a handful of simple concepts. Read on to find out more.

  https://www.kdnuggets.com/2020/11/friendly-introduction-graph-neural-networks.html

• The Best Data Science Certification You’ve Never Heard Of">The Best Data Science Certification You’ve Never Heard Of

  The CDMP is the best data strategy certification you’ve never heard of. (And honestly, when you consider the fact that you’re probably working a job that didn’t exist ten years ago, it’s not surprising that this certification isn’t widespread just yet.)

  https://www.kdnuggets.com/2020/11/best-data-science-certification-never-heard.html

• How to Make Sense of the Reinforcement Learning Agents?

  In this blog post, you’ll learn what to keep track of to inspect/debug your agent learning trajectory. I’ll assume you are already familiar with the Reinforcement Learning (RL) agent-environment setting and you’ve heard about at least some of the most common RL algorithms and environments.

  https://www.kdnuggets.com/2020/10/make-sense-reinforcement-learning-agents.html

• Fast Gradient Boosting with CatBoost

  In this piece, we’ll take a closer look at a gradient boosting library called CatBoost.

  https://www.kdnuggets.com/2020/10/fast-gradient-boosting-catboost.html

• Goodhart’s Law for Data Science and what happens when a measure becomes a target?">Goodhart’s Law for Data Science and what happens when a measure becomes a target?

  When developing analytics and algorithms to better understand a business target, unintended biases can sneak in that ensure desired outcomes are obtained. Guiding your work with multiple metrics in mind can help avoid such consequences of Goodhart's Law.

  https://www.kdnuggets.com/2020/10/goodharts-law-data-science-measure-target.html

• How Data Science Is Keeping People Safe During COVID-19

  Data, and more importantly, the way people use it, is shaping and refining approaches to COVID-19 safety. Here's a closer look at how this is happening.

  https://www.kdnuggets.com/2020/08/data-science-keeping-people-safe-covid-19.html

• GitHub is the Best AutoML You Will Ever Need

  This article uses PyCaret 2.0, an open source, low-code machine learning library in Python to develop a simple AutoML solution and deploy it as a Docker container using GitHub actions.

  https://www.kdnuggets.com/2020/08/github-best-automl-ever-need.html

• Exploring GPT-3: A New Breakthrough in Language Generation

  GPT-3 is the largest natural language processing (NLP) transformer released to date, eclipsing the previous record, Microsoft Research’s Turing-NLG at 17B parameters, by about 10 times. This has resulted in an explosion of demos: some good, some bad, all interesting.

  https://www.kdnuggets.com/2020/08/exploring-gpt-3-breakthrough-language-generation.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

• Before Probability Distributions

  Why do we use probability distributions, and why do they matter?

  https://www.kdnuggets.com/2020/07/before-probability-distributions.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

• Best Free Epidemiology Courses for Data Scientists">Best Free Epidemiology Courses for Data Scientists

  Are you interested in knowing more about epidemiology, the field which studies the spread and distribution of diseases? This article collects some free courses which are intended to help you do just that.

  https://www.kdnuggets.com/2020/04/epidemiology-data-scientists.html

• Microsoft Research Uses Transfer Learning to Train Real-World Autonomous Drones

  The new research uses policies learned in simulations in real world drone environments.

  https://www.kdnuggets.com/2020/03/microsoft-research-transfer-learning-train-real-world-autonomous-drones.html

• 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)">20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)

  We explain important AI, ML, Data Science terms you should know in 2020, including Double Descent, Ethics in AI, Explainability (Explainable AI), Full Stack Data Science, Geospatial, GPT-2, NLG (Natural Language Generation), PyTorch, Reinforcement Learning, and Transformer Architecture.

  https://www.kdnuggets.com/2020/03/ai-data-science-machine-learning-key-terms-part2.html

• NLP Year in Review — 2019

  In this blog post, I want to highlight some of the most important stories related to machine learning and NLP that I came across in 2019.

  https://www.kdnuggets.com/2020/01/nlp-year-review-2019.html

• Top 5 AI trends for 2020

  We are all witnessing a staggering growth of AI technology with so many new benefits for people while also changing the way we live and work. As AI continues to grow, which applications will have a significant impact in 2020?

  https://www.kdnuggets.com/2020/01/top-5-ai-trends-2020.html

• How Data Analytics Can Assist in Fraud Detection

  A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how to spot anomalies.

  https://www.kdnuggets.com/2019/11/data-analytics-assist-fraud-detection.html

• OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned

  OpenAI trained agents in a simple game of hide-and-seek and learned many other different skills in the process.

  https://www.kdnuggets.com/2019/10/openai-tried-train-ai-agents-play-hide-seek-instead-shocked-learned.html

• Natural Language in Python using spaCy: An Introduction

  This article provides a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.

  https://www.kdnuggets.com/2019/09/natural-language-python-using-spacy-introduction.html

• Jobs in Data Science, Machine Learning, AI & Analytics

  To add a free short entry here for a job related to Data Science, Machine Learning, AI or Analytics, email the following 5 items to Read more »

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

• Big Data for Insurance

  The insurance industry has always been quite conservative; however, the adoption of new technologies is not just a modern trend but a necessity to maintain the competitive pace. In the modern digital era, Big Data technologies help to process vast amounts of information, increase workflow efficiency, and reduce operational costs. Learn more about the benefits of Big Data for insurance from our material.

  https://www.kdnuggets.com/2019/07/big-data-insurance.html

• Collaborative Evolutionary Reinforcement Learning

  Intel Researchers created a new approach to RL via Collaborative Evolutionary Reinforcement Learning (CERL) that combines policy gradient and evolution methods to optimize, exploit, and explore challenges.

  https://www.kdnuggets.com/2019/07/collaborative-evolutionary-reinforcement-learning.html

• Beyond Siri, Google Assistant, and Alexa – what you need to know about AI Conversational Applications

  We discuss industry trends in Artificial Intelligence with Vijay Ramakrishnan, a machine learning engineer and expert in conversational applications.

  https://www.kdnuggets.com/2019/04/ai-conversational-applications.html

• Another 10 Free Must-Read Books for Machine Learning and Data Science">Another 10 Free Must-Read Books for Machine Learning and Data Science

  Here's a third set of 10 free books for machine learning and data science. Have a look to see if something catches your eye, and don't forget to check the previous installments for reading material while you're here.

  https://www.kdnuggets.com/2019/03/another-10-free-must-read-books-for-machine-learning-and-data-science.html

• ELMo: Contextual Language Embedding

  Create a semantic search engine using deep contextualised language representations from ELMo and why context is everything in NLP.

  https://www.kdnuggets.com/2019/01/elmo-contextual-language-embedding.html

• Explainable Artificial Intelligence (Part 2) – Model Interpretation Strategies

  The aim of this article is to give you a good understanding of existing, traditional model interpretation methods, their limitations and challenges. We will also cover the classic model accuracy vs. model interpretability trade-off and finally take a look at the major strategies for model interpretation.

  https://www.kdnuggets.com/2018/12/explainable-ai-model-interpretation-strategies.html

• AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019">AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019

  Review of 2018 and Predictions for 2019 from our panel of experts, including Meta Brown, Tom Davenport, Carla Gentry, Bob E Hayes, Cassie Kozyrkov, Doug Laney, Bill Schmarzo, Kate Strachnyi, Ronald van Loon, Favio Vazquez, and Jen Underwood.

  https://www.kdnuggets.com/2018/12/predictions-data-science-analytics-2019.html

• Why AI will not replace radiologists

  We investigate some of the reasons why radiologists will be safe from AI, including the fact that humans will always maintain ultimate responsibility, how productivity gains will drive demand, and more.

  https://www.kdnuggets.com/2018/11/why-ai-will-not-replace-radiologists.html

• Reinforcement Learning: The Business Use Case, Part 2

  In this post, I will explore the implementation of reinforcement learning in trading. The Financial industry has been exploring the applications of Artificial Intelligence and Machine Learning for their use-cases, but the monetary risk has prompted reluctance.

  https://www.kdnuggets.com/2018/08/reinforcement-learning-business-use-case-part-2.html

• DevOps for Data Scientists: Taming the Unicorn

  How do we version control the model and add it to an app? How will people interact with our website based on the outcome? How will it scale!?

  https://www.kdnuggets.com/2018/07/devops-data-scientists-taming-unicorn.html

• The Dirty Little Secret Every Data Scientist Knows (but won’t admit)

  Most people don’t realize, but the actual “fancy” machine learning algorithm is like the last mile of the marathon. There is so much that must be done before you get there!

  https://www.kdnuggets.com/2018/04/dirty-little-secret-data-scientist.html

• Top 20 Deep Learning Papers, 2018 Edition">Top 20 Deep Learning Papers, 2018 Edition

  Deep Learning is constantly evolving at a fast pace. New techniques, tools and implementations are changing the field of Machine Learning and bringing excellent results.

  https://www.kdnuggets.com/2018/03/top-20-deep-learning-papers-2018.html

• A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018">A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018

  In this article, we will compare the most commonly used platforms and analyze their main features to help you choose one or several platforms that will provide indispensable aid for your work communication.

  https://www.kdnuggets.com/2018/02/comparative-analysis-top-6-bi-data-visualization-tools-2018.html

• Exclusive Interview: Doug Laney on Big Data and Infonomics

  We discuss 3Vs of Big Data; Infonomics and many aspects of monetizing information including promising analytics methods, successful companies, main challenges; Information marketplaces and why data ownership concept is misguided, and more.

  https://www.kdnuggets.com/2018/01/exclusive-interview-doug-laney-big-data-infonomics.html

• Topological Data Analysis for Data Professionals: Beyond Ayasdi

  We review recent developments and tools in topological data analysis, including applications of persistent homology to psychometrics and a recent extension of piecewise regression, called Morse-Smale regression.

  https://www.kdnuggets.com/2018/01/topological-data-analysis.html

• Best Masters in Data Science and Analytics – Asia and Australia Edition

  The fourth edition of our comprehensive, unbiased survey on graduate degrees in Data Science and Analytics from around the world.

  https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-asia-australia.html

• The 10 Deep Learning Methods AI Practitioners Need to Apply

  Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.

  https://www.kdnuggets.com/2017/12/10-deep-learning-methods-ai-practitioners-need-apply.html

• Exclusive: Interview with Rich Sutton, the Father of Reinforcement Learning

  My exclusive interview with Rich Sutton, the Father of Reinforcement Learning, on RL, Machine Learning, Neuroscience, 2nd edition of his book, Deep Learning, Prediction Learning, AlphaGo, Artificial General Intelligence, and more.

  https://www.kdnuggets.com/2017/12/interview-rich-sutton-reinforcement-learning.html

• Evaluating Data Science Projects: A Case Study Critique

  It’s not necessary to understand the inner workings of a machine learning project, but you should understand whether the right things have been measured and whether the results are suited to the business problem. You need to know whether to believe what data scientists are telling you.

  https://www.kdnuggets.com/2017/09/evaluating-data-science-projects-case-study-critique.html

• Anonymization and the Future of Data Science

  This post walks the reader through a real-world example of a "linkage" attack to demonstrate the limits of data anonymization. New privacy regulation, most notably the GDPR, are making it increasingly difficult to maintain a balance between privacy and utility.

  https://www.kdnuggets.com/2017/04/anonymization-future-data-science.html

• Greed, Fear, Game Theory and Deep Learning

  The most advanced kind of Deep Learning system will involve multiple neural networks that either cooperate or compete to solve problems. The core problem of a multi-agent approach is how to control its behavior.

  https://www.kdnuggets.com/2017/03/greed-fear-game-theory-deep-learning.html

• Fixing Deployment and Iteration Problems in CRISP-DM

  Many analytic models are not deployed effectively into production while others are not maintained or updated. Applying decision modeling and decision management technology within CRISP-DM addresses this.

  https://www.kdnuggets.com/2017/02/fixing-deployment-iteration-problems-crisp-dm.html

• Bringing Business Clarity To CRISP-DM

  Many analytic projects fail to understand the business problem they are trying to solve. Correctly applying decision modeling in the Business Understanding phase of CRISP-DM brings clarity to the business problem.

  https://www.kdnuggets.com/2017/01/business-clarity-crisp-dm.html

• Doctor of Business Administration/Data Analytics, Online at Grand Canyon University

  Offered in a convenient online format, this doctoral program empowers expert data analysts to spark new industry-wide innovation.

  https://www.kdnuggets.com/2017/01/gcu-doctor-business-administration-data-analytics.html

• Deep Learning Research Review: Reinforcement Learning

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  https://www.kdnuggets.com/2016/11/deep-learning-research-review-reinforcement-learning.html

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  https://www.kdnuggets.com/2016/01/yahoo-largest-machine-learning-dataset.html

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