Search results for Business Innovation

Found 403 documents, 5946 searched:

• Context, Consistency, And Collaboration Are Essential For Data Science Success

  It’s crucial to investigate the reasons why data science teams require context, consistency, and secure collaboration of their data to ensure data science success. Let's quickly examine each of these requirements so that we can better understand what data science success moving forward may look like.

  https://www.kdnuggets.com/2022/01/context-consistency-collaboration-essential-data-science-success.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

• Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2021/12/trends-ai-data-science-ml-technology.html

• How Data Scientists Can Get the Ear of CFOs (And Why You Want It)

  Hey, data scientists! Here’s how to bend your CFO’s ear, equip your company with high-quality analysis, and boost your value and career in the process.

  https://www.kdnuggets.com/2021/12/data-scientists-get-ear-cfos-want.html

• Accelerating AI with MLOps

  Companies are racing to use AI, but despite its vast potential, most AI projects fail. Examining and resolving operational issues upfront can help AI initiatives reach their full potential.

  https://www.kdnuggets.com/2021/11/accelerating-ai-mlops.html

• 5 Tips to Get Your First Data Scientist Job

  Read some of the key things the author has learned during the infamous job seeking stage.

  https://www.kdnuggets.com/2021/11/5-tips-first-data-scientist-job.html

• Stop Blaming Humans for Bias in AI

  Can artificial intelligence be rid of bias? This is an important question, and it’s equally important that we look in the right place for the answer.

  https://www.kdnuggets.com/2021/11/stop-blaming-humans-bias-ai.html

• eBook: 101 Ways to Use Third-Party Data to Make Smarter Decisions

  To guide you in becoming a data-driven organization, AWS Data Exchange has created a new eBook, 101 Ways to Use Third-Party Data to Make Smarter Decisions. Learn how to transform the ‘currency’ of data into actionable business insights.

  https://www.kdnuggets.com/2021/11/roidna-ebook-101-ways-third-party-data-smarter-decisions.html

• How to Build Data Frameworks with Open Source Tools to Enhance Agility and Security

  Let’s take a look at how to harness open source tools to build your data frameworks.

  https://www.kdnuggets.com/2021/10/build-data-frameworks-open-source-tools-agility-security.html

• New Computing Paradigm for AI: Processing-in-Memory (PIM) Architecture

  As larger deep neural networks are trained on the latest and fastest chip technologies, an important challenge remains that bottlenecks performance -- and it is not compute power. You can try to calculate a DNN as fast as possible, but there is data -- and it has to move. Data pipelines on the chip are expensive and new solutions must be developed to advance capabilities.

  https://www.kdnuggets.com/2021/10/samsung-computing-paradigm-ai-in-memory.html

• AutoML: An Introduction Using Auto-Sklearn and Auto-PyTorch

  AutoML is a broad category of techniques and tools for applying automated search to your automated search and learning to your learning. In addition to Auto-Sklearn, the Freiburg-Hannover AutoML group has also developed an Auto-PyTorch library. We’ll use both of these as our entry point into AutoML in the following simple tutorial.

  https://www.kdnuggets.com/2021/10/automl-introduction-auto-sklearn-auto-pytorch.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

• 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

• How Data Scientists Can Compete in the Global Job Market

  Data scientists wanting to stay competitive or break into the field will need the right approach. These techniques will help them search for and secure a new position.

  https://www.kdnuggets.com/2021/09/data-scientists-compete-global-job-market.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

• eBook: A Practical Guide to Using Third-Party Data in the Cloud

  Download this eBook to learn how innovative teams are shifting their focus from data-driven business intelligence to accelerating insight-driven decision-making and now are turning to third-party datasets as a differentiator.

  https://www.kdnuggets.com/2021/09/roidna-ebook-guide-third-party-data-cloud.html

• The Significance of Data-centric AI

  How a systematic way of maintaining data quality can do wonders to your model performance.

  https://www.kdnuggets.com/2021/08/significance-data-centric-ai.html

• What I Learned From “Women in Data Science” Conferences

  Read the author's perspective after attending 3 "Women in Data Science" conferences.

  https://www.kdnuggets.com/2021/08/learned-women-data-science-conferences.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

• Towards a Responsible and Ethical AI

  It is not the technology at fault, but the intention.

  https://www.kdnuggets.com/2021/07/towards-responsible-ethical-ai.html

• The Brutal Truth About Data Science

  Many organizations approach data science as though it was a marketing tool — relabeling things that they already do as ‘data science’ as it involves the use of data. That is not real data science, and it completely misses the point of engaging in data science.

  https://www.kdnuggets.com/2021/07/brutal-truth-data-science.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

• Data Scientists and ML Engineers Are Luxury Employees">Data Scientists and ML Engineers Are Luxury Employees

  Maybe it seems that everyone wants to become a data scientist and every organization wants to hire one as quickly as possible. However, a mismatch often exists between what companies tend to need and what ML practitioners want to do. So, it's time for the field to take another step toward maturity through an enhanced appreciation of the broad range of technical foundations for an organization to become data-driven.

  https://www.kdnuggets.com/2021/07/data-scientists-machine-learning-engineers-luxury-employees.html

• Data Scientists are from Mars and Software Developers are from Venus

  Within the broad universe of IT in the business world, the approaches for deploying solutions by traditional software engineers and trendy, new data scientists couldn't be more different. However, appreciating these differences are incredibly important because great business value can be gained by integrating both worlds of development into driving more efficiency and effectiveness into an organization.

  https://www.kdnuggets.com/2021/06/data-scientists-mars-software-developers-venus.html

• Data Careers in Demand: Crowd Solutions Architect Explained

  How can crowdsourcing support the applications of data teams at an organization? With an ever-increasing demand for more and higher quality data, a new role of the Crowd Solutions Architect (CSA) can leverage the potential of the masses to bring an advantage to a business's capability to deliver effective AI-driven solutions.

  https://www.kdnuggets.com/2021/06/data-careers-crowd-solutions-architect.html

• These Soft Skills Can Make or Break Your Data Science Career

  In an industry long ruled by hard skills, the future career success of tomorrow’s data scientists might well depend on their ability to deploy a variety of soft skills into the workplace.

  https://www.kdnuggets.com/2021/05/soft-skills-data-science-career.html

• DataOps: 5 things that you need to know

  DataOps (Data Operations) has assumed a critical role in the age of big data to drive definitive impact on business outcomes. This process-oriented and agile methodology synergizes the components of DevOps and the capabilities of data engineers and data scientists to support data-focused workloads in enterprises. Here is a detailed look at DataOps.

  https://www.kdnuggets.com/2021/05/dataops-5-things-need-know.html

• The NoSQL Know-It-All Compendium

  Are you a NoSQL beginner, but want to become a NoSQL Know-It-All? Well, this is the place for you. Get up to speed on NoSQL technologies from a beginner's point of view, with this collection of related progressive posts on the subject. NoSQL? No problem!

  https://www.kdnuggets.com/2021/05/nosql-know-it-all-compendium.html

• Top 3 Challenges for Data & Analytics Leaders

  The author shares the 3 top challenges faced as they led and established a data & analytics function, as well as ways in which these challenges were addressed. How have you solved the one challenge which has remained elusive to the author?

  https://www.kdnuggets.com/2021/04/top-3-challenges-data-analytics-leaders.html

• Data careers are NOT one-size fits all! Tips for uncovering your ideal role in the data space

  Thriving as a data professional is about more than just making good money! It’s about FULFILLMENT & IMPACT. In this article, I will help you discover the BEST data role for you given your unique skill sets, personality & goals.

  https://www.kdnuggets.com/2021/04/data-careers-not-one-size-fits-all.html

• GPT-2 vs GPT-3: The OpenAI Showdown

  Thanks to the diversity of the dataset used in the training process, we can obtain adequate text generation for text from a variety of domains. GPT-2 is 10x the parameters and 10x the data of its predecessor GPT.

  https://www.kdnuggets.com/2021/02/gpt2-gpt3-openai-showdown.html

• My machine learning model does not learn. What should I do?

  This article presents 7 hints on how to get out of the quicksand.

  https://www.kdnuggets.com/2021/02/machine-learning-model-not-learn.html

• Past 2021 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning

  Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »

  https://www.kdnuggets.com/meetings/past-meetings-2021.html

• Vision Transformers: Natural Language Processing (NLP) Increases Efficiency and Model Generality

  Why do we hear so little about transformer models applied to computer vision tasks? What about attention in computer vision networks?

  https://www.kdnuggets.com/2021/02/vision-transformers-nlp-efficiency-model-generality.html

• Top 5 Reasons Why Machine Learning Projects Fail

  The rise in machine learning project implementation is coming, as is the the number of failures, due to several implementation and maintenance challenges. The first step of closing this gap lies in understanding the reasons for the failure.

  https://www.kdnuggets.com/2021/01/top-5-reasons-why-machine-learning-projects-fail.html

• Machine learning is going real-time

  Extracting immediate predictions from machine learning algorithms on the spot based on brand-new data can offer a next level of interaction and potential value to its consumers. The infrastructure and tech stack required to implement such real-time systems is also next level, and many organizations -- especially in the US -- seem to be resisting. But, what even is real-time ML, and how can it deliver a better experience?

  https://www.kdnuggets.com/2021/01/machine-learning-real-time.html

• Data Engineering — the Cousin of Data Science, is Troublesome">Data Engineering — the Cousin of Data Science, is Troublesome

  A Data Scientist must be a jack of many, many trades. Especially when working in broader teams, understanding the roles of others, such as data engineering, can help you validate progress and be aware of potential pitfalls. So, how can you convince your analysts to realize the importance of expanding their toolkit? Examples from real life often provide great insight.

  https://www.kdnuggets.com/2021/01/data-engineering-troublesome.html

• Where is Marketing Data Science Headed?

  Marketing data science - data science related to marketing - is now a significant part of marketing. Some of it directly competes with traditional marketing research and many marketing researchers may wonder what the future holds in store for it.

  https://www.kdnuggets.com/2021/01/marketing-data-science-headed.html

• Data Catalogs Are Dead; Long Live Data Discovery

  Why data catalogs aren’t meeting the needs of the modern data stack, and how a new approach – data discovery – is needed to better facilitate metadata management and data reliability.

  https://www.kdnuggets.com/2020/12/data-catalogs-dead-long-live-data-discovery.html

• Industry 2021 Predictions for AI, Analytics, Data Science, Machine Learning

  We bring you industry predictions from 12 innovative companies - what key trends they expect in 2021 in AI, Analytics, Data Science, and Machine Learning?

  https://www.kdnuggets.com/2020/12/industry-2021-predictions-ai-data-science-machine-learning.html

• Data Science Volunteering: Ways to Help

  No matter the field in which you hold some expertise, sharing your skills to benefit the lives of others or supporting non-profit organizations that try to make the world a better place is a noble and time-worthy personal pursuit. Many opportunities exist in data science to contribute to meaningful projects and crucial needs from your local community to a global scale.

  https://www.kdnuggets.com/2020/12/data-science-volunteering.html

• A Journey from Software to Machine Learning Engineer

  In this blog post, the author explains his journey from Software Engineer to Machine Learning Engineer. The focus of the blog post is on the areas that the author wished he'd have focused on during his learning journey, and what should you look for outside of books and courses when pursuing your Machine Learning career.

  https://www.kdnuggets.com/2020/12/journey-from-software-machine-learning-engineer.html

• Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology">Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2020 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2020/12/developments-trends-ai-data-science-machine-learning-technology.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021">AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021

  2020 is finally coming to a close. While likely not to register as anyone's favorite year, 2020 did have some noteworthy advancements in our field, and 2021 promises some important key trends to look forward to. As has become a year-end tradition, our collection of experts have once again contributed their thoughts. Read on to find out more.

  https://www.kdnuggets.com/2020/12/predictions-ai-machine-learning-data-science-research.html

• Data Science History and Overview

  In this era of big data that is only getting bigger, a huge amount of information from different fields is gathered and stored. Its analysis and extraction of value have become one of the most attractive tasks for companies and society in general, which is harnessed by the new professional role of the Data Scientist.

  https://www.kdnuggets.com/2020/11/data-science-history-overview.html

• AI and Automation meets BI">AI and Automation meets BI

  Organizations use a variety of BI tools to analyze structured data. These tools are used for ad-hoc analysis, and for dashboards and reports that are essential for decision making. In this post, we describe a new set of BI tools that continue this trend.

  https://www.kdnuggets.com/2020/11/ai-automation-meets-bi.html

• How to become a Data Scientist: a step-by-step guide">How to become a Data Scientist: a step-by-step guide

  Data science is everywhere. But what are the best ways to learn the field well enough to enter the profession? Read on for some tips and steps on doing so, and some great courses to help you get there.

  https://www.kdnuggets.com/2020/10/greatlearning-become-data-scientist-guide.html

• Data Protection Techniques Needed to Guarantee Privacy

  This article takes a look at the concepts of data privacy and personal data. It presents several privacy protection techniques and explains how they contribute to preserving the privacy of individuals.

  https://www.kdnuggets.com/2020/10/data-protection-techniques-guarantee-privacy.html

• AI in Healthcare: A review of innovative startups

  The AI innovation in healthcare has been overwhelming with the Global Healthcare AI Market accounting for $0.95 billion in 2017, and is expected to reach $19.25 billion by 2026. What drives this vibrant growth?

  https://www.kdnuggets.com/2020/09/ai-healthcare-review-innovative-startups.html

• How to Effectively Obtain Consumer Insights in a Data Overload Era

  Everybody knows how important is understanding your customer, but how to do that in an era of Information Overload?

  https://www.kdnuggets.com/2020/09/effectively-obtain-consumer-insights-data-overload-era.html

• Unpopular Opinion – Data Scientists Should Be More End-to-End

  Can a do-it-all Data Scientist really be more effective at delivering new value from data? While it might sound exhausting, important efficiencies can exist that might bring better value to the business even faster.

  https://www.kdnuggets.com/2020/09/data-scientists-should-be-more-end-to-end.html

• Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities">Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities

  We present the online courses and certificates in AI, Data Science, Machine Learning, and related topics from the top 20 universities in the world.

  https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.html

• Here’s what you need to look for in a model server to build ML-powered services

  More applications are being infused with machine learning while MLOps processes and best practices are becoming well established. Critical to these software and systems are the servers that run the models, which should feature key capabilities to drive successful enterprise-scale productionizing of machine learning.

  https://www.kdnuggets.com/2020/09/model-server-build-ml-powered-services.html

• Data is everywhere and it powers everything we do!

  In this article I would like to focus on how companies can start their data-centric strategies and how to achieve success in their data transformation journeys. Have tried to share my thoughts why companies have to consider data at its epitome for their growth, for being competitive, for being smarter, innovative and be prepared for any unforeseen market surprises.

  https://www.kdnuggets.com/2020/08/data-everywhere-powers-everything.html

• Performance Testing on Big Data Applications

  You can use performance testing in any application you’re working on but it’s especially useful for big data applications. Let’s see why.

  https://www.kdnuggets.com/2020/08/performance-testing-big-data-applications.html

• Top Google AI, Machine Learning Tools for Everyone">Top Google AI, Machine Learning Tools for Everyone

  Google is much more than a search company. Learn about all the tools they are developing to help turn your ideas into reality through Google AI.

  https://www.kdnuggets.com/2020/08/top-google-ai-machine-learning-tools.html

• How “Anonymous” is Anonymized Data?

  As the collection of personal data democratized over the previous century, the question of data anonymization started to rise. The regulations coming into effect around the world sealed the importance of the matter.

  https://www.kdnuggets.com/2020/08/anonymous-anonymized-data.html

• The List of Top 10 Lists in Data Science">The List of Top 10 Lists in Data Science

  The list of Top 10 lists that Data Scientists -- from enthusiasts to those who want to jump start a career -- must know to smoothly navigate a path through this field.

  https://www.kdnuggets.com/2020/08/top-10-lists-data-science.html

• How Natural Language Processing Is Changing Data Analytics

  As it becomes more prevalent, NLP will enable humans to interact with computers in ways not possible before. This new type of collaboration will allow improvements in a wide variety of human endeavors, including business, philanthropy, health, and communication.

  https://www.kdnuggets.com/2020/08/natural-language-processing-changing-data-analytics.html

• 10 Use Cases for Privacy-Preserving Synthetic Data

  This article presents 10 use-cases for synthetic data, showing how enterprises today can use this artificially generated information to train machine learning models or share data externally without violating individuals' privacy.

  https://www.kdnuggets.com/2020/08/10-use-cases-privacy-preserving-synthetic-data.html

• HOSTKEY GPU Grant Program

  The HOSTKEY GPU Grant Program is open to specialists and professionals in the Data Science sector performing research or other projects centered on innovative uses of GPU processing and which will glean practical results in the field of Data Science, with the objective of supporting basic scientific research and prospective startups.

  https://www.kdnuggets.com/2020/08/hostkey-gpu-grant-program.html

• The Uncommon Data Science Job Guide

  With the job landscape in Data Science becoming hyper-competitive, there are clear strategies you can consider to find your way to snagging a position in the field.

  https://www.kdnuggets.com/2020/08/data-science-job-guide.html

• 5 Big Trends in Data Analytics

  Data analytics is the process by which data is deconstructed and examined for useful patterns and trends. Here we explore five trends making data analytics even more useful.

  https://www.kdnuggets.com/2020/07/5-big-trends-data-analytics.html

• How to Handle Dimensions in NumPy

  Learn how to deal with Numpy matrix dimensionality using np.reshape, np.newaxis and np.expand_dims, illustrated with Python code.

  https://www.kdnuggets.com/2020/07/numpy-handle-dimensions.html

• Top 6 Reasons Data Scientists Should Know Java

  There are many reasons why data scientists should learn Java. Read this overview of 6 specific reasons to help decide if Java might be right for your projects.

  https://www.kdnuggets.com/2020/06/top-6-reasons-data-scientists-know-java.html

• If you had to start statistics all over again, where would you start?">If you had to start statistics all over again, where would you start?

  If you are just diving into learning statistics, then where do you begin? Find insight from those who have tread in these waters before, and see what they might have done differently along their personal journeys in statistics.

  https://www.kdnuggets.com/2020/06/start-statistics-all-over-again.html

• 13 must-read papers from AI experts">13 must-read papers from AI experts

  What research articles do top AI experts in the field recommend? Find out which ones and why, then be sure to add each to your reading to do list.

  https://www.kdnuggets.com/2020/05/13-must-read-papers-ai-experts.html

• How AI Can Help Manage Infectious Diseases

  With the capability to analyze huge amounts of data, including medical information, human behavior patterns, and environmental conditions, big data tools can be invaluable in dealing with deadly outbreaks.

  https://www.kdnuggets.com/2020/04/ai-manage-infectious-diseases.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

• Can Java Be Used for Machine Learning and Data Science?">Can Java Be Used for Machine Learning and Data Science?

  While Python and R have become favorites for building these programs, many organizations are turning to Java application development to meet their needs. Read on to see how, and why.

  https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.html

• 10 Must-read Machine Learning Articles (March 2020)">10 Must-read Machine Learning Articles (March 2020)

  This list will feature some of the recent work and discoveries happening in machine learning, as well as guides and resources for both beginner and intermediate data scientists.

  https://www.kdnuggets.com/2020/04/10-must-read-machine-learning-articles-march-2020.html

• Nine lessons learned during my first year as a Data Scientist">Nine lessons learned during my first year as a Data Scientist

  What is it like to be a Data Scientist? There can be many hats to wear, and so many problems to solve that are fed with data, churned by data science, and guided by business results. Find out about lessons learned from one Data Scientist about how best to work and perform in the role.

  https://www.kdnuggets.com/2020/03/nine-lessons-first-year-data-scientist.html

• Scaling Your Data Strategy

  This article presents a particular vision for a cohesive data strategy for addressing large-scale problems with data-driven solutions, based on prior professional experiences.

  https://www.kdnuggets.com/2020/03/scaling-data-strategy.html

• How Kubeflow Can Add AI to Your Kubernetes Deployments

  As Kubernetes is capable of working with other solutions, it is possible to integrate it with a collection of tools that can almost fully automate your development pipeline. Some of those third-party tools even allow you to integrate AI into Kubernetes. One such tool you can integrate with Kubernetes is Kubeflow. Read more about it here.

  https://www.kdnuggets.com/2020/02/kubeflow-ai-kubernetes-deployments.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 and Machine Learning In Our Every Day Life

  The curiosity and buzz around the most talked-about technology -- Artificial Intelligence -- have experts and technophiles busy decoding its exciting future applications. Of course, the use of AI and machine learning is already pervasive in our daily lives, as we review many of these popular features in this article.

  https://www.kdnuggets.com/2020/02/ai-machine-learning-everyday-life.html

• Past 2020 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning

  Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »

  https://www.kdnuggets.com/meetings/past-meetings-2020.html

• Top 10 Technology Trends for 2020">Top 10 Technology Trends for 2020

  With integrations of multiple emerging technologies just in the past year, AI development continues at a fast pace. Following the blueprint of science and technology advancements in 2019, we predict 10 trends we expect to see in 2020 and beyond.

  https://www.kdnuggets.com/2020/01/top-10-technology-trends-2020.html

• Introducing Generalized Integrated Gradients (GIG): A Practical Method for Explaining Diverse Ensemble Machine Learning Models

  There is a need for a new way to explain complex, ensembled ML models for high-stakes applications such as credit and lending. This is why we invented GIG.

  https://www.kdnuggets.com/2020/01/generalized-integrated-gradients-explaining-ensemble-models.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

• The 4 Hottest Trends in Data Science for 2020">The 4 Hottest Trends in Data Science for 2020

  The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.

  https://www.kdnuggets.com/2019/12/4-hottest-trends-data-science-2020.html

• Accuracy Fallacy: The Media’s Coverage of AI Is Bogus

  Such as the gross exaggerations Stanford researchers broadcasted about their infamous "AI gaydar" project, there exists a prevalent "accuracy fallacy" in relation to AI from the media. Find out more about how the press constantly misleads the public into believing that machine learning can reliably predict psychosis, heart attacks, sexuality, and much more.

  https://www.kdnuggets.com/2019/12/accuracy-fallacy-media-coverage-ai-bogus.html

• The Rise of User-Generated Data Labeling

  Let’s say your project is humongous and needs data labeling to be done continuously - while you’re on-the-go, sleeping, or eating. I’m sure you’d appreciate User-generated Data Labeling. I’ve got 6 interesting examples to help you understand this, let’s dive right in!

  https://www.kdnuggets.com/2019/12/rise-user-generated-data-labeling.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 to Become a Successful Healthcare Data Analyst

  Are you interested in starting your career in the data analysis domain? Read this informative blog on how to get your career off the ground.

  https://www.kdnuggets.com/2019/11/become-successful-healthcare-data-analyst.html

• How to Make an Agile Team Work for Big Data Analytics

  Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value for your Big Data products.

  https://www.kdnuggets.com/2019/10/agile-team-big-data-analytics.html

• Everything a Data Scientist Should Know About Data Management">Everything a Data Scientist Should Know About Data Management

  For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

  https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

• Lemma, Lemma, Red Pyjama: Or, doing words with AI

  If we want a machine learning model to be able to generalize these forms together, we need to map them to a shared representation. But when are two different words the same for our purposes? It depends.

  https://www.kdnuggets.com/2019/10/lemma-lemma-red-pyjama-words-ai.html

• Data Preparation for Machine learning 101: Why it’s important and how to do it

  As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.

  https://www.kdnuggets.com/2019/10/data-preparation-machine-learning-101.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 Future of Analytics and Data Science">The Future of Analytics and Data Science

  Learn about the current and future issues of data science and possible solutions from this interview with IADSS Co-founder, Dr. Usama Fayyad following his keynote speech at ODSC Boston 2019.

  https://www.kdnuggets.com/2019/09/future-analytics-data-science.html

• 12 Deep Learning Researchers and Leaders">12 Deep Learning Researchers and Leaders

  Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.

  https://www.kdnuggets.com/2019/09/12-deep-learning-research-leaders.html

• 6 Tips for Building a Training Data Strategy for Machine Learning

  Without a well-defined approach for collecting and structuring training data, launching an AI initiative becomes an uphill battle. These six recommendations will help you craft a successful strategy.

  https://www.kdnuggets.com/2019/09/6-tips-training-data-strategy-machine-learning.html

• Top 10 Data Science Use Cases in Energy and Utilities

  In this article, we will consider the most vivid data science use cases in the industry of energy and utilities.

  https://www.kdnuggets.com/2019/09/top-10-data-science-use-cases-energy-utilities.html

• How LinkedIn, Uber, Lyft, Airbnb and Netflix are Solving Data Management and Discovery for Machine Learning Solutions

  As machine learning evolves, the need for tools and platforms that automate the lifecycle management of training and testing datasets is becoming increasingly important. Fast growing technology companies like Uber or LinkedIn have been forced to build their own in-house data lifecycle management solutions to power different groups of machine learning models.

  https://www.kdnuggets.com/2019/08/linkedin-uber-lyft-airbnb-netflix-solving-data-management-discovery-machine-learning-solutions.html

• Learn how to use PySpark in under 5 minutes (Installation + Tutorial)

  Apache Spark is one of the hottest and largest open source project in data processing framework with rich high-level APIs for the programming languages like Scala, Python, Java and R. It realizes the potential of bringing together both Big Data and machine learning.

  https://www.kdnuggets.com/2019/08/learn-pyspark-installation-tutorial.html

• Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment

  This is an excerpt from a survey which sought to evaluate the relevance of machine learning in operations today, assess the current state of machine learning adoption and to identify tools used for machine learning. A link to the full report is inside.

  https://www.kdnuggets.com/2019/08/machine-learning-happening-now-survey-organizational-adoption-implementation-investment.html

• Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning">Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning

  Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.

  https://www.kdnuggets.com/2019/07/best-podcasts-ai-analytics-data-science-machine-learning.html

• What’s the Best Data Strategy for Enterprises: Build, buy, partner or acquire?

  Every large organization is investing heavily in building data solutions and tools. They are building data solutions from scratch when they could be taking advantage of readily available tools and solutions. Many organizations are re-inventing the wheel and wasting resources.

  https://www.kdnuggets.com/2019/07/best-data-strategy-enterprises-build-buy-partner-acquire.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

• How Data Science Is Used Within the Film Industry">How Data Science Is Used Within the Film Industry

  As Data Science is becoming pervasive across so many industries, Hollywood is certainly not being left behind. Learn about how Big Data, analytics, and AI are now core drivers of the movies we watch and how we watch them.

  https://www.kdnuggets.com/2019/07/data-science-film-industry.html

• How to Make a Success Story of your Data Science Team

  Today, data science is a crucial component for an organization's growth. Given how important data science has grown, it’s important to think about what data scientists add to an organization, how they fit in, and how to hire and build effective data science teams.

  https://www.kdnuggets.com/2019/06/success-story-data-science-team.html

• Spark NLP: Getting Started With The World’s Most Widely Used NLP Library In The Enterprise"> Spark NLP: Getting Started With The World’s Most Widely Used NLP Library In The Enterprise

  The Spark NLP library has become a popular AI framework that delivers speed and scalability to your projects. Check out what's under the hood and learn about how to getting started leveraging Spark NLP from John Snow Labs.

  https://www.kdnuggets.com/2019/06/spark-nlp-getting-started-with-worlds-most-widely-used-nlp-library-enterprise.html

• Becoming a Level 3.0 Data Scientist

  Want to be a Junior, Senior, or Principal Data Scientists? Find out what you need to do to navigate the Data Science Career Game.

  https://www.kdnuggets.com/2019/05/becoming-a-level-3-data-scientist.html

• What’s Going to Happen this Year in the Data World

  "If we wish to foresee the future of mathematics, our proper course is to study the history and present condition of the science." Henri Poncairé.

  https://www.kdnuggets.com/2019/05/whats-going-happen-this-year-data-world.html

• The 3 Biggest Mistakes on Learning Data Science">The 3 Biggest Mistakes on Learning Data Science

  Data science or whatever you want to call it is not just knowing some programming languages, math, statistics and have “domain knowledge” and here I show you why.

  https://www.kdnuggets.com/2019/05/biggest-mistakes-learning-data-science.html

• Learn About Data Science & the Future of Investing from Hedge Fund Leaders at Rev 2

  Rev 2 features interactive sessions, Q&A with industry luminaries, poster sessions for interesting modeling techniques and accomplishments, and stimulating conversations about how to make data science an enterprise-grade capability.

  https://www.kdnuggets.com/2019/04/domino-data-science-hedge-fund-rev-2.html

• Generative Adversarial Networks – Key Milestones and State of the Art

  We provide an overview of Generative Adversarial Networks (GANs), discuss challenges in GANs learning, and examine two promising GANs: the RadialGAN, designed for numbers, and the StyleGAN, which does style transfer for images.

  https://www.kdnuggets.com/2019/04/future-generative-adversarial-networks.html

• 3 Big Problems with Big Data and How to Solve Them

  We discuss some of the negatives of using big data, including false equivalences and bias, vulnerability to security breaches, protecting against unauthorized access and the lack of international standards for data privacy regulations.

  https://www.kdnuggets.com/2019/04/3-big-problems-big-data.html

• 2019 Best Masters in Data Science and Analytics – Europe Edition">2019 Best Masters in Data Science and Analytics – Europe Edition

  We provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across Europe.

  https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-europe.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

• Spatio-Temporal Statistics: A Primer

  Marketing scientist Kevin Gray asks University of Missouri Professor Chris Wikle about Spatio-Temporal Statistics and how it can be used in science and business.

  https://www.kdnuggets.com/2019/04/spatio-temporal-statistics-primer.html

• AI: Arms Race 2.0

  An analysis of the current state of the competition between US, Europe, and China in AI, examining research, patent publications, global datasphere, devices and IoT, people, and more.

  https://www.kdnuggets.com/2019/03/ai-arms-race-20.html

• Designing Ethical Algorithms

  Ethical algorithm design is becoming a hot topic as machine learning becomes more widespread. But how do you make an algorithm ethical? Here are 5 suggestions to consider.

  https://www.kdnuggets.com/2019/03/designing-ethical-algorithms.html

• 6 Books About Open Data Every Data Scientist Should Read

  Check out this collection of six books which tackle the hard skills required to make sense of the changing field known as open data and muse on the ethical implications of a digitally connected world.

  https://www.kdnuggets.com/2019/02/6-books-open-data-every-data-scientist-read.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

• Data Science For Our Mental Development

  In this blog, I aim to generalize how AI can help us with mental development in the future as well as discuss some of the present-day solutions.

  https://www.kdnuggets.com/2019/02/data-science-mental-development.html

• Past 2019 Meetings / Conferences on AI, Analytics, Big Data, Data Science, and Machine Learning

  Past | 2019 Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Read more »

  https://www.kdnuggets.com/meetings/past-meetings-2019.html

• AI is a Big Fat Lie

  Is AI legit? This treatise by Eric Siegel, which ridicules the widespread myth of artificial intelligence, is enlightening and actually pretty funny. It's time for the term AI to be “terminated.”

  https://www.kdnuggets.com/2019/01/dr-data-ai-big-fat-lie.html

• The Role of the Data Engineer is Changing

  The role of the data engineer in a startup data team is changing rapidly. Are you thinking about it the right way?

  https://www.kdnuggets.com/2019/01/role-data-engineer-changing.html

• About KDnuggets

  KDnuggets is a leading site on Data Science, Machine Learning, AI and Analytics. KDnuggets was founded by Gregory Piatetsky-Shapiro. KD stands for Knowledge Discovery.   Read more »

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

• Awards and Honors for KDnuggets

  Here are notable KDnuggets awards, honors, and mentions In Top DataScience Blogs to follow in 2021, Dev.to, Jun 2021. In Digital Scouting Top 100 Digital Read more »

  https://www.kdnuggets.com/about/awards.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

• 8 Reasons to Take Data Analytics Certification Courses

  We outline some of the benefits of taking data analytics classes, including the huge job opportunities, the current gap in the market, the salary aspect, the flexibility of working in any sector, and more.

  https://www.kdnuggets.com/2018/11/8-reasons-take-data-analytics-certification-courses.html

• BIG, small or Right Data: Which is the proper focus?">BIG, small or Right Data: Which is the proper focus?

  For most businesses, having and using big data is either impossible, impractical, costly to justify, or difficult to outsource due to the over demand of qualified resources. So, what are the benefits of using small data?

  https://www.kdnuggets.com/2018/10/big-small-right-data.html

• A Winning Game Plan For Building Your Data Science Team">A Winning Game Plan For Building Your Data Science Team

  We need to understand the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.

  https://www.kdnuggets.com/2018/09/winning-game-plan-building-data-science-team.html

• You Aren’t So Smart: Cognitive Biases are Making Sure of It">You Aren’t So Smart: Cognitive Biases are Making Sure of It

  Cognitive biases are tendencies to think in certain ways that can lead to systematic deviations from a standard of rationality or good judgment. They have all sorts of practical impacts on our lives, whether we want to admit it or not.

  https://www.kdnuggets.com/2018/09/practical-cognitive-biases.html

• Project Hydrogen, new initiative based on Apache Spark to support AI and Data Science

  An introduction to Project Hydrogen: how it can assist machine learning and AI frameworks on Apache Spark and what distinguishes it from other open source projects.

  https://www.kdnuggets.com/2018/08/databricks-project-hydrogen-apache-spark.html

• Big Data a $4.7 Billion opportunity in the healthcare and pharmaceutical industry

  This post contains some of the key findings from the SNS Telecom & IT's latest report, which indicates that Big Data investments in the healthcare and pharmaceutical industry are expected to reach nearly $4.7 Billion by the end of 2018.

  https://www.kdnuggets.com/2018/07/snstelecom-big-data-healthcare-pharm.html

• The Future of Map-Making is Open and Powered by Sensors and AI

  This article investigates the future of map-making and the role of Sensors, Artificial Intelligence and Machine Learning within that.

  https://www.kdnuggets.com/2018/07/future-map-making-open-sensors-ai.html