Search results for How to Invest

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• SQL Interviews Preparations Material Resources

  SQL is a must-known programming language for data people, and many modern jobs have SQL as a prerequisite. Here are material collections to prepare for your SQL interview.

  https://www.kdnuggets.com/2023/02/sql-interviews-preparations-material-resources.html

• What’s With All the Layoffs in Tech?

  Answering all the questions that you've been asking about the layoffs in the tech industry.

  https://www.kdnuggets.com/2023/02/layoffs-tech.html

• Is Data Science a Dying Career?

  At the end of the day, the value a data scientist provides to an organization lies in their ability to apply data to real-world use cases.

  https://www.kdnuggets.com/2022/01/data-science-dying-career.html

• Hypothesis Testing in Data Science

  Defining a hypothesis allows you to collect data effectively and determine whether it provides enough evidence to support your hypothesis.

  https://www.kdnuggets.com/2023/02/hypothesis-testing-data-science.html

• 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 2

  Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

  https://www.kdnuggets.com/2023/02/20-questions-detect-fake-data-scientists-chatgpt-2.html

• How I Make $3,500 Online Every Month With Data Science

  Here's how you can do the same.

  https://www.kdnuggets.com/2023/01/make-3500-online-every-month-data-science.html

• 5 Ways to Deal with the Lack of Data in Machine Learning

  Effective solutions exist when you don't have enough data for your models. While there is no perfect approach, five proven ways will get your model to production.

  https://www.kdnuggets.com/2019/06/5-ways-lack-data-machine-learning.html

• Scaling Data Management Through Apache Gobblin

  Software companies can manage big data at a hyper-scale on different infrastructure stacks using Apache Gobblin.

  https://www.kdnuggets.com/2023/01/scaling-data-management-apache-gobblin.html

• 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1

  Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

  https://www.kdnuggets.com/2023/01/20-questions-detect-fake-data-scientists-chatgpt-1.html

• RAPIDS cuDF for Accelerated Data Science on Google Colab

  GPU-accelerated dataframe library that implements the familiar pandas API for processing and analyzing your data.

  https://www.kdnuggets.com/2023/01/rapids-cudf-accelerated-data-science-google-colab.html

• Beginner’s Guide to Cloud Computing

  Learn how cloud computing works, different types of models, top cloud platforms, and applications.

  https://www.kdnuggets.com/2023/01/beginner-guide-cloud-computing.html

• Where Collaboration Fails Around Data (And 4 Tips for Fixing It)

  Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.

  https://www.kdnuggets.com/2023/01/collaboration-fails-around-data-4-tips-fixing.html

• Creating a Web Application to Extract Topics from Audio with Python

  A step-by-step tutorial to build and deploy a web application for topic modeling of a Spotify podcast.

  https://www.kdnuggets.com/2023/01/creating-web-application-extract-topics-audio-python.html

• Key Data Science, Machine Learning, AI and Analytics Developments of 2022

  It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

  https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

• What Can AI-Powered RPA and IA Mean For Businesses?

  RPA and IA have stunned the business world by availing impressive, intelligent automation capabilities for scales of businesses across industries, which we'll know in this blog.

  https://www.kdnuggets.com/2022/12/aipowered-rpa-ia-mean-businesses.html

• How To Overcome The Fear of Math and Learn Math For Data Science

  Many aspiring Data Scientists, especially when self-learning, fail to learn the necessary math foundations. These recommendations for learning approaches along with references to valuable resources can help you overcome a personal sense of not being "the math type" or belief that you "always failed in math."

  https://www.kdnuggets.com/2021/03/overcome-fear-learn-math-data-science.html

• How To Collect Data For Customer Sentiment Analysis

  Customer sentiment analysis involves collecting, analyzing, and leveraging data to understand customers' feelings. This article focuses on how to collect data for customer sentiment analysis.

  https://www.kdnuggets.com/2022/12/collect-data-customer-sentiment-analysis.html

• Free Intermediate Python Programming Crash Course

  Master the basics of python with this free crash course.

  https://www.kdnuggets.com/2022/12/free-intermediate-python-programming-crash-course.html

• How to Set Yourself Apart from Other Applicants with Data-Centric AI

  This article is designed to help you prepare for the job market and get yourself noticed in the industry.

  https://www.kdnuggets.com/2022/12/set-apart-applicants-datacentric-ai.html

• We Don’t Need Data Scientists, We Need Data Engineers

  As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.

  https://www.kdnuggets.com/2021/02/dont-need-data-scientists-need-data-engineers.html

• How to Use Analytics to Accelerate Business Growth?

  Many organizations are establishing a Data Analytics team to reap the benefits of their key strategic asset i.e. data. The post explains how you can leverage the power of analytics to understand the end user and generate actionable insights.

  https://www.kdnuggets.com/2022/12/analytics-accelerate-business-growth.html

• What are Moment-Generating Functions?

  A brief overview of what moment-generating functions are and how they are used in probability and statistics.

  https://www.kdnuggets.com/2022/12/momentgenerating-functions.html

• How Artificial Intelligence Will Change Mobile Apps

  There are numerous ways in which Artificial Intelligence (AI) will change the way we use mobile apps. As more and more users shift towards tablet computers and various mobile platforms, developers are coming up with new ideas for improving user experience. AI holds many key factors for the future of mobile app development and could indeed prove to be a game changer on almost all fronts.

  https://www.kdnuggets.com/2022/12/artificial-intelligence-change-mobile-apps.html

• How Machine Learning Can Benefit Online Learning

  Personalized learning, smart grading, skill gap assessment, and better ROI: The importance of incorporating Machine Learning in Online Learning cannot be overstated.

  https://www.kdnuggets.com/2022/12/machine-learning-benefit-online-learning.html

• Top 10 Data Science Myths Busted

  The data science field is full of job opportunities, yet there is still a lot of confusion about what data scientists actually do. This confusion is largely due to the many myths that exist about the role of a data scientist. In this article, we will bust the top 10 myths about data science. By the end of this article, you will have a better understanding of the role of a data scientist and what it takes to be one.

  https://www.kdnuggets.com/2022/12/top-10-data-science-myths-busted.html

• Data Science Projects That Can Help You Solve Real World Problems

  The best way to learn Data Science is by solving real-world problems with the data and building your own portfolio. In this article, we will discuss three projects that you can work on to build your portfolio and impress interviewers.

  https://www.kdnuggets.com/2022/11/data-science-projects-help-solve-real-world-problems.html

• Black Friday Deal – Master Machine Learning for Less with DataCamp

  Secure major savings on DataCamp’s Black Friday deal and Cyber Monday deal!

  https://www.kdnuggets.com/2022/11/datacamp-black-friday-deal-master-machine-learning-less-datacamp.html

• How Much Math Do You Need in Data Science?

  There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.

  https://www.kdnuggets.com/2020/06/math-data-science.html

• How to Use Graph Theory to Scout Soccer

  Take Soccer Analytics to the Next Level with Graph Theory: Here’s What to Know and How to Do It.

  https://www.kdnuggets.com/2022/11/graph-theory-scout-soccer.html

• 9 Free Resources to Master Python

  Python is the most popular general-purpose language and you can learn it for free.

  https://www.kdnuggets.com/2022/11/9-free-resources-master-python.html

• What To Expect for AI Quality Trends In 2023

  Based on the recent discussions with dozens of Fortune 500 data science teams, we can expect to see a continued spotlight on AI model quality in 2023.

  https://www.kdnuggets.com/2022/11/expect-ai-quality-trends-2023.html

• 6 Best Free Online Courses to Learn Python and Boost Your Career

  The demand for Data Scientists who are proficient in Python is at an all time high.  Python has helped people boost their careers in finance, consulting, research, software tech, and robotics. Explore 6 courses designed to help you learn Python.

  https://www.kdnuggets.com/2022/11/corise-6-best-free-online-courses-python-boost-career.html

• The Most Comprehensive List of Kaggle Solutions and Ideas

  Learn from top-performing teams in the competition to get better at understanding machine learning techniques.

  https://www.kdnuggets.com/2022/11/comprehensive-list-kaggle-solutions-ideas.html

• The Ultimate Guide To Different Word Embedding Techniques In NLP

  A machine can only understand numbers. As a result, converting text to numbers, called embedding text, is an actively researched topic. In this article, we review different word embedding techniques for converting text into vectors.

  https://www.kdnuggets.com/2021/11/guide-word-embedding-techniques-nlp.html

• The AI Education Gap and How to Close It

  AI education is broken, how do we solve it? Individuals end up learning a specific tool or tactic in a vacuum. They are missing the real-world applicability and collaboration that is critical to building impactful AI solutions in line with the organization’s strategy.

  https://www.kdnuggets.com/2022/11/ai-education-gap-close.html

• 30 Resources for Mastering Data Visualization

  Want to master data visualization? This list of 30 resources and tools will help you get started on your path toward mastering data visualization.

  https://www.kdnuggets.com/2022/11/30-resources-mastering-data-visualization.html

• The Gap Between Deep Learning and Human Cognitive Abilities

  How do we bridge this gap between deep learning and human cognitive ability?

  https://www.kdnuggets.com/2022/10/gap-deep-learning-human-cognitive-abilities.html

• Don’t Become a Commoditized Data Scientist

  Unicorns don't exist. Aim instead to be an endangered species.

  https://www.kdnuggets.com/2022/10/commoditized-data-scientist.html

• Getting Started with Automated Text Summarization

  This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.

  https://www.kdnuggets.com/2019/11/getting-started-automated-text-summarization.html

• Is OLAP Dead?

  OLAP enables citizen analysts to quickly, efficiently, and cost-effectively uncover new business insights at a reduced time-to-value.

  https://www.kdnuggets.com/2022/10/olap-dead.html

• The Evolution of Speech Recognition Metrics

  As Speech Recognition has become more accurate than ever, scenarios like dictation and meeting transcription are gaining popularity. Metrics need to evolve with the times and guide the research focus.

  https://www.kdnuggets.com/2022/10/evolution-speech-recognition-metrics.html

• Frameworks for Approaching the Machine Learning Process

  This post is a summary of 2 distinct frameworks for approaching machine learning tasks, followed by a distilled third. Do they differ considerably (or at all) from each other, or from other such processes available?

  https://www.kdnuggets.com/2018/05/general-approaches-machine-learning-process.html

• Become Data-Driven Faster with DataCamp’s Analyst Takeover

  Looking for a clear (and fast) data upskilling path? Discover DataCamp’s hands-on analyst tracks and certification program—no prior analyst experience required.

  https://www.kdnuggets.com/2022/10/datacamp-data-driven-faster-analyst-takeover.html

• Explaining Explainable AI for Conversations

  Something is missing in artificial intelligence – trust.

  https://www.kdnuggets.com/2022/10/explaining-explainable-ai-conversations.html

• How to Build a Data Science Enablement Team: A Complete Guide

  A Data Science Enablement Team consists of people from various departments like marketing, sales, product development, etc. They are responsible for providing the necessary tools and resources to help the data scientists do their job more efficiently.

  https://www.kdnuggets.com/2022/10/build-data-science-enablement-team-complete-guide.html

• 6 Best Free Online Courses to Jumpstart Your Learning of SQL

  We scoured the internet for the best free courses for anyone looking to learn SQL. We’re excited to share the top 6 resources we found.

  https://www.kdnuggets.com/2022/10/corise-6-best-free-online-courses-jumpstart-learning-sql.html

• Key-Value Databases, Explained

  Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

  https://www.kdnuggets.com/2021/04/nosql-explained-understanding-key-value-databases.html

• Are the Efforts of People Analytics Worth the Outcome?

  Learn about the connection between people analytics and creating diversity, equity, and inclusion (DEI) accountability.

  https://www.kdnuggets.com/2022/09/efforts-people-analytics-worth-outcome.html

• 8 Ways to Improve Your Search Application this Week

  There are many places to start improving and optimizing and it’s easy to get bogged down. The good news is that there are several easy ways to improve your search application’s quality and performance.

  https://www.kdnuggets.com/2022/09/corise-8-ways-improve-search-application-week.html

• Data Analyst Skills You Need for Your Next Promotion

  Get some advice from the “older” generation.

  https://www.kdnuggets.com/2022/09/data-analyst-skills-need-next-promotion.html

• IMPACT 2022: The Data Observability Summit, on Oct. 25-26

  In just one month, IMPACT 2022 will bring together the most insightful minds in data. Register for The Data Observability Summit now!

  https://www.kdnuggets.com/2022/09/monte-carlo-impact-2022-data-observability-summit.html

• How Data Science Fuels Fraud Prevention

  By themselves, these data points will probably not provide much insight into a single customer. However, a company that has some or all of this information is well-positioned to have a strong idea of how legitimate its visitors are.

  https://www.kdnuggets.com/2022/09/data-science-fuels-fraud-prevention.html

• Free SQL and Database Course

  Get up to speed on SQL and relational databases with this free video course.

  https://www.kdnuggets.com/2022/09/free-sql-database-course.html

• 8 Innovative BERT Knowledge Distillation Papers That Have Changed The Landscape of NLP

  All of the papers present a particular point of view of findings in the BERT utilization.

  https://www.kdnuggets.com/2022/09/eight-innovative-bert-knowledge-distillation-papers-changed-nlp-landscape.html

• 24 A/B Testing Interview Questions in Data Science Interviews and How to Crack Them

  Here’s everything you need to know about A/B testing interview questions in data science interviews.

  https://www.kdnuggets.com/2022/09/24-ab-testing-interview-questions-data-science-interviews-crack.html

• SQL vs NoSQL: 7 Key Takeaways

  People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

  https://www.kdnuggets.com/2020/12/sql-vs-nosql-7-key-takeaways.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 to Better Leverage Data Science for Business Growth

  Is data science for you? And if it is, how can you use it to grow your business?

  https://www.kdnuggets.com/2022/08/better-leverage-data-science-business-growth.html

• How to Use Data Visualization to Add Impact to Your Work Reports and Presentations

  For anyone whose work involves presenting data, understanding the art and science of data visualization — and its emphasis on storytelling — can make or break your ability to communicate key insights.

  https://www.kdnuggets.com/2022/08/data-visualization-add-impact-work-reports-presentations.html

• How Do Data Scientists and Data Engineers Work Together?

  If you’re considering a career in data science, it’s important to understand how these two fields differ, and which one might be more appropriate for someone with your skills and interests.

  https://www.kdnuggets.com/2022/08/data-scientists-data-engineers-work-together.html

• Machine Learning Over Encrypted Data

  This blog outlines a solution to the Kaggle Titanic challenge that employs Privacy-Preserving Machine Learning (PPML) using the Concrete-ML open-source toolkit.

  https://www.kdnuggets.com/2022/08/machine-learning-encrypted-data.html

• How to land an ML job: Advice from engineers at Meta, Google Brain, and SAP

  Check out this video, summary and transcript of a discussion between co:rise co-founder Jake Samuelson and three outstanding ML engineers — Kaushik Rangadurai, Shalvi Mahajan, and Frank Chen — to hear their advice on landing a job in machine learning.

  https://www.kdnuggets.com/2022/08/corise-land-ml-job-advice-engineers-meta-google-brain-sap.html

• 5 Key Data Science Trends & Analytics Trends

  Let’s have a look at some of the key tech trends on the horizon right now.

  https://www.kdnuggets.com/2022/08/5-key-data-science-trends-analytics-trends.html

• AI for Ukraine is a new educational project from AI HOUSE to support the Ukrainian tech community

  “AI for Ukraine” is a series of workshops and lectures held by international artificial intelligence experts to support the development of Ukraine’s tech community during the war. This is a non-commercial educational project by AI HOUSE – a company focused on building the AI/ML community in Ukraine and is part of the Roosh tech ecosystem.

  https://www.kdnuggets.com/2022/08/ai-house-ai-ukraine-new-educational-project-support-ukrainian-tech-community.html

• Free AI for Beginners Course

  Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all.

  https://www.kdnuggets.com/2022/08/free-ai-beginners-course.html

• Most In-demand Artificial Intelligence Skills To Learn In 2022

  Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.

  https://www.kdnuggets.com/2022/08/indemand-artificial-intelligence-skills-learn-2022.html

• Full Stack Everything? Organizational Intersections Between Data Science, Dev & Tech

  Breakthrough value is found when teams collaborate at their intersections to come up with innovative solutions.

  https://www.kdnuggets.com/2022/08/full-stack-everything-organizational-intersections-data-science-dev-tech.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

• 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem

  Trying to anticipate and defend against these failures is the constant uphill battle that today’s engineers are up against. But it doesn’t have to be.

  https://www.kdnuggets.com/2022/07/90-today-code-written-prevent-failure-problem.html

• Best Practices for Creating Domain-Specific AI Models

  Here are some best practices and techniques for domain-specific model adaptation that worked for us time and again.

  https://www.kdnuggets.com/2022/07/best-practices-creating-domainspecific-ai-models.html

• The Difficulty of Estimating the Carbon Footprint of Machine Learning

  Is machine learning killing the planet? Probably not, but let's make sure it doesn't.

  https://www.kdnuggets.com/2022/07/difficulty-estimating-carbon-footprint-machine-learning.html

• Benefits Of Becoming A Data-First Enterprise

  Data is everywhere but only data is not sufficient to reap the benefits that come with it. It needs to be organized to enable the organizations to make more informed business decisions. In this article, we will learn what are the various benefits of being a data-first enterprise and using the data in developing a business intelligence solution.

  https://www.kdnuggets.com/2022/07/benefits-becoming-datafirst-enterprise.html

• 5 Project Ideas to Stay Up-To-Date as a Data Scientist

  The skills you have need maintenance and occasional updates. Doing an interesting data science project is what will keep you from getting rusty.

  https://www.kdnuggets.com/2022/07/5-project-ideas-stay-uptodate-data-scientist.html

• Hone Your Data Skills With Free Access to DataCamp

  DataCamp has launched their Free Week, running now through to 11.59 pm ET on 24 July. For this whole week, anyone, anywhere, and anytime can have unlimited access to their site. Try it out now!

  https://www.kdnuggets.com/2022/07/datacamp-hone-data-skills-free-access-datacamp.html

• Why SQL Will Remain the Data Scientist’s Best Friend

  Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

  https://www.kdnuggets.com/2022/07/sql-remain-data-scientist-best-friend.html

• Data Preparation in R Cheatsheet

  Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.

  https://www.kdnuggets.com/2021/10/data-preparation-r-dplyr-cheat-sheet.html

• Machine Learning Model Management

  The tools used in the development cycle for Machine Learning and the managing of the models require MLOps - Machine Learning Operations.

  https://www.kdnuggets.com/2022/07/machine-learning-model-management.html

• Celebrating Women in Leadership Roles in the Tech Industry

  The technology industry, specifically, has been continuing to close the gender gap.

  https://www.kdnuggets.com/2022/07/celebrating-women-leadership-roles-tech-industry.html

• The Resilient ML Stack is Modular

  So how can an organization stay agile within an ever-shifting ML landscape? Part of the answer lies with establishing a modular ML architecture. Comet will be joined on July 6th in a live webinar by the AI Infrastructure Alliance and Superb AI to discuss how to accelerate AI value with modular MLOps. Register now.

  https://www.kdnuggets.com/2022/06/comet-resilient-ml-stack-modular.html

• Data Preparation with SQL Cheatsheet

  If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

  https://www.kdnuggets.com/2021/05/data-preparation-sql-cheat-sheet.html

• Data Science Career: 7 Expectations vs Reality

  Let’s get into some of the expectations of data scientists – and the reality they face.

  https://www.kdnuggets.com/2022/06/data-science-career-7-expectations-reality.html

• Prepare Your Data for Effective Tableau & Power BI Dashboards

  Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.

  https://www.kdnuggets.com/2022/06/prepare-data-effective-tableau-power-bi-dashboards.html

• Publications on Data Science, Machine Learning, AI & Analytics

    Featured Publications The Machine Learning Mastery EBook Catalog Machine Learning Mastery Frustrated with one-off articles and too much math? Take the Next Step and Read more »

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

• NLP, NLU, and NLG: What’s The Difference? A Comprehensive Guide

  This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.

  https://www.kdnuggets.com/2022/06/nlp-nlu-nlg-difference-comprehensive-guide.html

• A Structured Approach To Building a Machine Learning Model

  This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.

  https://www.kdnuggets.com/2022/06/structured-approach-building-machine-learning-model.html

• European AI Act: The Simplified Breakdown

  The AI act aims to ensure excellence in the EU, provide the correct conditions for the development of AI and guarantee that AI systems are beneficial to people.

  https://www.kdnuggets.com/2022/06/european-ai-act-simplified-breakdown.html

• Data Science is Overrated, Here’s Why

  Think twice before jumping on the data science bandwagon.

  https://www.kdnuggets.com/2022/06/data-science-overrated.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

• Predicting Cryptocurrency Prices Using Regression Models

  In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression. The factors investigated include predictions on various time intervals as well as the use of various features in the models such as opening price, high price, low price and volume.

  https://www.kdnuggets.com/2022/05/predicting-cryptocurrency-prices-regression-models.html

• The Definitive Guide To Switching Your Career Into Data Science

  Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

  https://www.kdnuggets.com/2022/05/definitive-guide-switching-career-data-science.html

• The Complete Collection of Data Science Books – Part 2

  Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

• Data Science, Statistics and Machine Learning Dictionary

  Check out this curated list of the most used data science terminology and get a leg up on your learning.

  https://www.kdnuggets.com/2022/05/data-science-statistics-machine-learning-dictionary.html

• 7 Unique Skills That Set Data Scientists Apart From Other Professions

  To be a data scientist, and especially to be a good one, you need these seven skills to do your job and stand out. These seven skills also transfer really well to other professions.

  https://www.kdnuggets.com/2022/05/7-unique-skills-set-data-scientists-apart-professions.html

• 3 Reasons Why Teamwork is an Essential Skill in Data Science

  This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.

  https://www.kdnuggets.com/2022/05/3-reasons-teamwork-essential-skill-data-science.html

• A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

  We give a taxonomy of the trustworthy GNNs in privacy, robustness, fairness, and explainability. For each aspect, we categorize existing works into various categories, give general frameworks in each category, and more.

  https://www.kdnuggets.com/2022/05/comprehensive-survey-trustworthy-graph-neural-networks-privacy-robustness-fairness-explainability.html

• Data Mesh Architecture: Reimagining Data Management

  The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

  https://www.kdnuggets.com/2022/05/data-mesh-architecture-reimagining-data-management.html

• Machine Learning’s Sweet Spot: Pure Approaches in NLP and Document Analysis

  While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.

  https://www.kdnuggets.com/2022/05/machine-learning-sweet-spot-pure-approaches-nlp-document-analysis.html

• Does AI Get its Own Batman?

  AI is sending up the Bat-signal and synthetic data is answering the call for more robust, powerful, and less-biased AI systems.

  https://www.kdnuggets.com/2022/05/ai-get-batman.html

• Hypothesis Testing Explained

  This brief overview of the concept of Hypothesis Testing covers its classification in parametric and non-parametric tests, and when to use the most popular ones, including means, correlation, and distribution, in the case of one sample and two samples.

  https://www.kdnuggets.com/2021/09/hypothesis-testing-explained.html

• MLOps: The Best Practices and How To Apply Them

  Here are some of the best practices for implementing MLOps successfully.

  https://www.kdnuggets.com/2022/04/mlops-best-practices-apply.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

• Prioritizing Data Science Models for Production

  Statistical performance metrics aren’t enough to pick the right models to bring to market.

  https://www.kdnuggets.com/2022/04/prioritizing-data-science-models-production.html

• 5 Things That Set a Data Scientist Apart From Other Professions

  Here are five things that help set the data scientist apart from other professions.

  https://www.kdnuggets.com/2021/11/5-things-set-data-scientist-apart-other-professions.html

• 4 Factors to Identify Machine Learning Solvable Problems

  The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.

  https://www.kdnuggets.com/2022/04/4-factors-identify-machine-learning-solvable-problems.html

• Uncertainty Quantification in Artificial Intelligence-based Systems

  The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.

  https://www.kdnuggets.com/2022/04/uncertainty-quantification-artificial-intelligencebased-systems.html

• How to Design Experiments for Data Collection

  Several factors must be taken into consideration when designing experiments for data collection.

  https://www.kdnuggets.com/2022/04/design-experiments-data-collection.html

• What is an MLOps Engineer?

  And why you should consider becoming one.

  https://www.kdnuggets.com/2022/03/mlops-engineer.html

• Top 13 Skills That Every Data Scientist Should Have

  Let me walk you through the top 13 data science skills that you should have to become a successful data scientist. Following this outline, you’ll have a great path of digestible steps to educate yourself and be prepared to apply for data scientist positions.

  https://www.kdnuggets.com/2022/03/top-13-skills-every-data-scientist.html

• MLOps Is a Mess But That’s to be Expected

  In this post, I want to focus the discussion about the state of machine learning operations (MLOps) today, where we are, where we are going.

  https://www.kdnuggets.com/2022/03/mlops-mess-expected.html

• GitHub Copilot Open Source Alternatives

  GitHub's Copilot code generation tool is currently only available via approved request. Here are 4 Copilot alternatives that you can use in your programming today.

  https://www.kdnuggets.com/2021/07/github-copilot-open-source-alternatives-code-generation.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

• Building a Geospatial Application in Python with Google Earth Engine and Greppo

  In this blog, you will see how to build a web-application with Greppo and Google Earth using Python.

  https://www.kdnuggets.com/2022/03/building-geospatial-application-python-google-earth-engine-greppo.html

• How to Generate Synthetic Tabular Dataset

  Check out this article on using CTGANs to create synthetic datasets for reducing privacy risks, training and testing machine learning models, and developing data-centric AI products.

  https://www.kdnuggets.com/2022/03/generate-tabular-synthetic-dataset.html

• Machine Learning Algorithms for Classification

  In this article, we will be going through the algorithms that can be used for classification tasks.

  https://www.kdnuggets.com/2022/03/machine-learning-algorithms-classification.html

• How a Level System can Help Forecast AI Costs

  To forecast costs for AI systems, it can be useful to talk about their “level” just like SAE has levels for self-driving cars. Adopting a level system can help organizations plan and prepare for AI systems that scale in complexity over time.

  https://www.kdnuggets.com/2022/03/level-system-help-forecast-ai-costs.html

• The Significance of Data Quality in Making a Successful Machine Learning Model

  Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.

  https://www.kdnuggets.com/2022/03/significance-data-quality-making-successful-machine-learning-model.html

• How Long Does It Take to Learn Data Science Fundamentals?

  This article discusses 2 levels of data science learning, and the amount of time that will need to go into each. From 6 months to 4 years, this write-up covers a number of skills and how long it takes to acquire them.

  https://www.kdnuggets.com/2022/03/long-take-learn-data-science-fundamentals.html

• What is Adversarial Machine Learning?

  In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model. 

  https://www.kdnuggets.com/2022/03/adversarial-machine-learning.html

• Analyzing the Probability of Future Success with Intelligence Node’s Attributes Evolution Model

  The analytics team at Intelligence Node have been working on developing a Limited Memory model (which first started as a Reactive model) aka the 'The Probability of Future Success' model. This model explores a new market driven approach to identifying future trends and probability of success for specific product attributes based on a series of dynamic metrics and attributes. Read this article to know more.

  https://www.kdnuggets.com/2022/02/analyzing-probability-future-success-intelligence-node-attributes-evolution-model.html

• Cloud Storage Adoption is the Need of the Hour for Business

  The rush towards cloud storage means that the cloud has to offer a valuable proposition to businesses. Let’s explore why businesses regardless of their size should consider moving to the cloud.

  https://www.kdnuggets.com/2022/02/cloud-storage-adoption-need-hour-business.html

• The Challenges of Creating Features for Machine Learning

  What are the challenges of creating features for machine learning and how can we mitigate them.

  https://www.kdnuggets.com/2022/02/challenges-creating-features-machine-learning.html

• 4 Ways Hackers Are Using Data Science to Steal Billions

  The best way to stop your enemy is to know your enemy. Here are four ways hackers are using data science - and how they can be stopped.

  https://www.kdnuggets.com/2022/02/4-ways-hackers-data-science-steal-billions.html

• How to Become a Successful Data Science Freelancer in 2022

  In this article, I will walk you through how you can use your data science skills to land freelance gigs.

  https://www.kdnuggets.com/2022/02/become-successful-data-science-freelancer-2022.html

• 19 Data Science Project Ideas for Beginners

  This article features 19 data science projects for beginners, categorized into 7 full project tutorials, 5 places to come up with your own data science projects using data, and 7 skills-based data science projects.

  https://www.kdnuggets.com/2021/11/19-data-science-project-ideas-beginners.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

• Unstructured Data: The Must-Have For Analytics In 2022

  Let's investigate the current need that enterprise organizations have to rapidly parse through unstructured data and examine several data management trends that are highly relevant in 2022.

  https://www.kdnuggets.com/2022/01/unstructured-data-analytics-2022.html

• How to Grow as a Data Scientist in an Ever-Changing World

  Just like tradespeople need to grow in their skill sets, data scientists must also grow in the ever-changing world we inhabit. With that said, let’s break down how you can evolve your data science skills while progressing your career.

  https://www.kdnuggets.com/2022/01/grow-data-scientist-everchanging-world.html

• The High Paying Side Hustles for Data Scientists

  Learn about some unconventional ways to boost your income by freelancing, contracting, copywriting, career counseling, and consultancy.

  https://www.kdnuggets.com/2022/01/high-paying-side-hustles-data-scientists.html

• Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

  In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.

  https://www.kdnuggets.com/2022/01/models-rarely-deployed-industrywide-failure-machine-learning-leadership.html

• Data Quality: The Good, The Bad, and The Ugly

  Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.

  https://www.kdnuggets.com/2022/01/data-quality-good-bad-ugly.html