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Found 13231 documents, 12960 searched:

• SQL, Syllogisms, and Explanations

  Check out the Executable English Platform, for self-explaining applications written in English that you can run in your browser.

  https://www.kdnuggets.com/2021/07/sql-syllogisms-explanations.html

• KDnuggets™ News 21:n26, Jul 14: Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python; 5 Python Data Processing Tips

  If Pandas not enough, here are a few good alternatives to processing larger and faster data in Python; 5 Python Data Processing Tips and Code Snippets; Relax! Data Scientists will not go extinct in 10 years, but the role will change; How to Get Practical Data Science Experience to be Career-Ready.

  https://www.kdnuggets.com/2021/n26.html

• Top June Stories: 5 Tasks To Automate With Python; Data Scientists Will be Extinct in 10 Years

  5 Tasks To Automate With Python; Data Scientists Will be Extinct in 10 Years: How to Generate Automated PDF Documents with Python; How I Doubled My Income with Data Science and Machine Learning.

  https://www.kdnuggets.com/2021/07/top-stories-2021-jun.html

• Building Tech Skills in 2021

  With all the workforce changes last year, it is not surprising that employees lack the skills to meet new demands. To be ready for today’s challenges, companies need sound methods to assess what skills their employees have, the ability to identify the gaps, and a plan to upskill them for success. You can read the survey results here, along with predicted learning and development trends, and insights for upskilling, cross-skilling and reskilling your workforce.

  https://www.kdnuggets.com/2021/07/sas-building-tech-skills.html

• Streamlit Tips, Tricks, and Hacks for Data Scientists

  Today, I am going to talk about a few tips that I learned within more than a year of using Streamlit, that you can also use to unleash your powerful DS/AI/ML (whatever they may be) applications.

  https://www.kdnuggets.com/2021/07/streamlit-tips-tricks-hacks-data-scientists.html

• AGI and the Future of Humanity

  The possibilities for humanity's future very likely includes at least one in which computers will exceed human abilities. Artificial General Intelligence (AGI) does not necessarily have to be all doom and gloom. However, we must begin now to understand how this technical evolution might progress and consider what actions to take now to prepare.

  https://www.kdnuggets.com/2021/07/agi-future-humanity.html

• How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?">How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates?

  A few easy (and not-so-easy) ways to prove to employers that your skills and attitudes place you in a higher bracket.

  https://www.kdnuggets.com/2021/07/distinguish-yourself-hundreds-other-data-science-candidates.html

• Top Stories, Jul 5-11: Data Scientists and ML Engineers Are Luxury Employees

  Also: Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python; A Learning Path To Becoming a Data Scientist; 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist; 5 Python Data Processing Tips & Code Snippets

  https://www.kdnuggets.com/2021/07/top-news-week-0705-0711.html

• KDnuggets Top Blogs Rewards for June 2021

  These top blogs were winners of KDnuggets Top Blog Rewards Program for June: 5 Tasks To Automate With Python; Data Scientists Will be Extinct in 10 Years; How to Generate Automated PDF Documents with Python; How I Doubled My Income with Data Science and Machine Learning; Pandas vs SQL: When Data Scientists Should Use Each Tool; Top 10 Data Science Projects for Beginners.

  https://www.kdnuggets.com/2021/07/top-blogs-rewards-jun.html

• Abstraction and Data Science: Not a great combination

  The article is about too much abstraction and how this programming concept when extended to Data Science makes Data Science non-intuitive.

  https://www.kdnuggets.com/2021/07/abstraction-data-science-not-great-combination.html

• Become an Analytics Engineer in 90 Days">Become an Analytics Engineer in 90 Days

  A new role of the Analytics Engineer is an exciting opportunity that crosses the skill sets of a Data Analyst and Data Engineer. Here, we describe how this position can evolve at an organization, and recommend self-learning resources that can be used to prepare for the multifaceted responsibilities.

  https://www.kdnuggets.com/2021/07/become-analytics-engineer-90-days.html

• How to Tell if You Have Trained Your Model with Enough Data

  WeightWatcher is an open-source, diagnostic tool for evaluating the performance of (pre)-trained and fine-tuned Deep Neural Networks. It is based on state-of-the-art research into Why Deep Learning Works.

  https://www.kdnuggets.com/2021/07/tell-model-trained-enough-data.html

• Exploring the SwAV Method

  This post discusses the SwAV (Swapping Assignments between multiple Views of the same image) method from the paper “Unsupervised Learning of Visual Features by Contrasting Cluster Assignments” by M. Caron et al.

  https://www.kdnuggets.com/2021/07/swav-method.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 4

  With the right software, hardware, and techniques at your fingertips, your capability to effectively develop high-performing models now hinges on leveraging automation to expedite the experimental process and building with the most efficient model architectures for your data.

  https://www.kdnuggets.com/2021/07/high-performance-deep-learning-part4.html

• 5 Python Data Processing Tips & Code Snippets">5 Python Data Processing Tips & Code Snippets

  This is a small collection of Python code snippets that a beginner might find useful for data processing.

  https://www.kdnuggets.com/2021/07/python-tips-snippets-data-processing.html

• A Lightning Fast Look at Single Line Exploratory Data Analysis

  Here's a very quick look at how you can perform EDA with a single line of code using D-Tale.

  https://www.kdnuggets.com/2021/07/single-line-exploratory-data-analysis.html

• Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python">Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python

  While the Pandas library remains a crucial workhorse in data processing and management for data science, some limitations exist that can impact efficiencies, especially with very large data sets. Here, a few interesting alternatives to Pandas are introduced to improve your large data handling performance.

  https://www.kdnuggets.com/2021/07/pandas-alternatives-processing-larger-faster-data-python.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

• eBook: How to use third-party data to make smarter decisions

  Get yourself a copy of this eBook and learn how to use third-party data to make smarter decisions.

  https://www.kdnuggets.com/2021/07/roidnab-ebook-data-smarter-decisions.html

• Relax! Data Scientists will not go extinct in 10 years, but the role will change">Relax! Data Scientists will not go extinct in 10 years, but the role will change

  About 70% of KDnuggets readers think that the demand for Data Scientists will increase, and 50% think it will increase significantly. At the same time, over 90% think the role of Data Scientist will change. What will the Data Scientist role be in 10 years?

  https://www.kdnuggets.com/2021/07/poll-data-scientists-not-extinct-10-years.html

• How to Get Practical Data Science Experience to be Career-Ready">How to Get Practical Data Science Experience to be Career-Ready

  Becoming a professional in the field of data science takes more than just book-smarts. You need to have experience with real-world data sets, frequently-used tools, and an intuition for solutions that you can only gain from hands-on experience. These resources will jump start developing your practical skills.

  https://www.kdnuggets.com/2021/07/practical-data-science-experience-career-ready.html

• How to Build An Image Classifier in Few Lines of Code with Flash

  Introducing Flash: The high-level deep learning framework for beginners.

  https://www.kdnuggets.com/2021/07/build-image-classifier-in-few-lines-of-code-with-flash.html

• KDnuggets™ News 21:n25, Jul 7: Data Scientists and ML Engineers Are Luxury Employees; 5 Lessons from McKinsey That Will Make You a Better Data Scientist

  Are Data Scientists and ML Engineers Luxury Employees? 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist; Managing Your Reusable Python Code as a Data Scientist; GitHub Copilot: Your AI pair programmer - what is all the fuss about? and more.

  https://www.kdnuggets.com/2021/n25.html

• ROC Curve Explained

  Learn to visualise a ROC curve in Python.

  https://www.kdnuggets.com/2021/07/roc-curve-explained.html

• A Learning Path To Becoming a Data Scientist">A Learning Path To Becoming a Data Scientist

  Becoming a professional data scientist may not be as easy as "1... 2... 3...", but these 10 steps can be your self-learning roadmap to kickstarting your future in the exciting and ever-expanding field of data science.

  https://www.kdnuggets.com/2021/07/learning-path-data-scientist.html

• How To Transition From Data Freelancer to Data Entrepreneur (Almost Overnight)

  Data freelancers trade hours for dollars while data entrepreneurs have found a way to make money while they sleep. Ready to make the transition? Keep reading to learn how to do it as SEAMLESSLY and PROFITABLY as possible.

  https://www.kdnuggets.com/2021/07/transition-data-freelancer-data-entrepreneur-overnight.html

• Top Stories, Jun 28 – Jul 4: 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist

  Also: What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct?; Add A New Dimension To Your Photos Using Python; Managing Your Reusable Python Code as a Data Scientist; Data Scientists are from Mars and Software Developers are from Venus

  https://www.kdnuggets.com/2021/07/top-news-week-0628-0704.html

• GitHub Copilot: Your AI pair programmer – what is all the fuss about?

  GitHub just released Copilot, a code completion tool on steroids dubbed your "AI pair programmer." Read more about it, and see what all the fuss is about.

  https://www.kdnuggets.com/2021/07/github-copilot-ai-pair-programmer.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

• Predict Customer Churn (the right way) using PyCaret

  A step-by-step guide on how to predict customer churn the right way using PyCaret that actually optimizes the business objective and improves ROI.

  https://www.kdnuggets.com/2021/07/pycaret-predict-customer-churn-right-way.html

• Semantic Search: Measuring Meaning From Jaccard to Bert

  In this article, we’ll cover a few of the most interesting — and powerful — of these techniques — focusing specifically on semantic search. We’ll learn how they work, what they’re good at, and how we can implement them ourselves.

  https://www.kdnuggets.com/2021/07/semantic-search-measuring-meaning-jaccard-bert.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 3

  Now that you are ready to efficiently build advanced deep learning models with the right software and hardware tools, the techniques involved in implementing such efforts must be explored to improve model quality and obtain the performance that your organization desires.

  https://www.kdnuggets.com/2021/07/high-performance-deep-learning-part3.html

• Prepare Behavioral Questions for Data Science Interviews

  This is part 5 of a series by the author which helps readers nail the data science interviews with confidence.

  https://www.kdnuggets.com/2021/07/prepare-behavioral-questions-data-science-interviews.html

• How to Use NVIDIA GPU Accelerated Libraries

  If you are wondering how you can take advantage of NVIDIA GPU accelerated libraries for your AI projects, this guide will help answer questions and get you started on the right path.

  https://www.kdnuggets.com/2021/07/nvidia-gpu-accelerated-libraries.html

• Learning Data Science Through Social Media

  Want your social media algorithms to show you actual algorithms? Spare a moment during your social media scrolling to learn a bit of data science. Here are suggestions for at-a-glance access to good ideas and tips on your favorite platforms.

  https://www.kdnuggets.com/2021/07/learning-data-science-through-social-media.html

• 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist">5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist

  How to stand out from your peers in the data world.

  https://www.kdnuggets.com/2021/07/5-lessons-mckinsey-taught-better-data-scientist.html

• Ethics, Fairness, and Bias in AI

  As more AI-enhanced applications seep into our daily lives and expand their reach to larger swaths of populations around the world, we must clearly understand the vulnerabilities trained machine leaning models can exhibit based on the data used during development. Such issues can negatively impact select groups of people, so addressing the ethical decisions made by AI--possibly unknowingly--is important to the long-term fairness and success of this new technology.

  https://www.kdnuggets.com/2021/06/ethics-fairness-ai.html

• From Scratch: Permutation Feature Importance for ML Interpretability

  Use permutation feature importance to discover which features in your dataset are useful for prediction — implemented from scratch in Python.

  https://www.kdnuggets.com/2021/06/from-scratch-permutation-feature-importance-ml-interpretability.html

• KDnuggets™ News 21:n24, Jun 30: What will the demand for Data Scientists be in 10 years?; Add A New Dimension To Your Photos Using Python

  What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct?; Add A New Dimension To Your Photos Using Python; Data Scientists are from Mars and Software Developers are from Venus; How to Train a Joint Entities and Relation Extraction Classifier using BERT Transformer with spaCy 3; In-Warehouse Machine Learning and the Modern Data Science Stack

  https://www.kdnuggets.com/2021/n24.html

• StreamSets DataOps Platform – Summer ‘21 Public Beta. Sign up today!

  Introducing StreamSets DataOps Platform - Summer ‘21 Public Beta! Bringing DataOps to the Cloud for Enterprises.

  https://www.kdnuggets.com/2021/06/streamsets-dataops-platform-summer-public-beta.html

• Computational Complexity of Deep Learning: Solution Approaches

  Why has deep learning been so successful? What is the fundamental reason that deep learning can learn from big data? Why cannot traditional ML learn from the large data sets that are now available for different tasks as efficiently as deep learning can?

  https://www.kdnuggets.com/2021/06/computational-complexity-deep-learning-solution-approaches.html

• Unleashing the Power of MLOps and DataOps in Data Science

  Organizations trying to move forward with analytics and data science initiatives -- while floating in an ocean of data -- must enhance their overall approach and culture to embrace a foundation on DataOps and MLOps. Leveraging these operational frameworks are necessary to enable the data to generate real business value.

  https://www.kdnuggets.com/2021/06/power-mlops-dataops-data-science.html

• 10 Mistakes You Should Avoid as a Data Science Beginner

  Read this article on how to gain a competitive advantage in the data science job market.

  https://www.kdnuggets.com/2021/06/10-mistakes-avoid-data-science-beginner.html

• Top Stories, Jun 21-27: Data Scientists Will be Extinct in 10 Years; Analytics Engineering Everywhere

  Also: Pandas vs SQL: When Data Scientists Should Use Each Tool; How to Land a Data Analytics Job in 6 Months; What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct?; How to create an interactive 3D chart and share it easily with anyone

  https://www.kdnuggets.com/2021/06/top-news-week-0621-0627.html

• Add A New Dimension To Your Photos Using Python">Add A New Dimension To Your Photos Using Python

  Read this to learn how to breathe new life into your photos with a 3D Ken Burns Effect.

  https://www.kdnuggets.com/2021/06/new-dimension-photos-python.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

• How to Train a Joint Entities and Relation Extraction Classifier using BERT Transformer with spaCy 3

  A step-by-step guide on how to train a relation extraction classifier using Transformer and spaCy3.

  https://www.kdnuggets.com/2021/06/train-joint-entities-relation-extraction-classifier-bert-spacy.html

• Applied Language Technology: A No-Nonsense Approach

  Here is a free entry-level applied natural language processing course that can fit into any beginner's roadmap to understanding NLP. Check it out.

  https://www.kdnuggets.com/2021/06/applied-language-technology.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 2

  As your organization begins to consider building advanced deep learning models with efficiency in mind to improve the power delivered through your solutions, the software and hardware tools required for these implementations are foundational to achieving high-performance.

  https://www.kdnuggets.com/2021/06/high-performance-deep-learning-part2.html

• How to create an interactive 3D chart and share it easily with anyone

  This is a short tutorial on a great Plotly feature.

  https://www.kdnuggets.com/2021/06/create-interactive-3d-chart-share.html

• Season 1 Of Data Science Perspectives Webcast Released

  Season 1 of Data Science Perspectives is now live and ready for viewing, where I interview many of the executives and professionals I’ve met to enable viewers to learn about how their careers unfolded, what skills they look for when hiring, what trends they think are coming next, and more.

  https://www.kdnuggets.com/2021/06/bill-frinks-season-1-data-science-perspectives-webcast.html

• What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct?">What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct?

  Participate in the latest KDnuggets survey and share your opinion: what does the next decade have in store for data scientist demand?

  https://www.kdnuggets.com/2021/06/poll-demand-data-scientists-10-years.html

• In-Warehouse Machine Learning and the Modern Data Science Stack

  As your organization matures its data science portfolio and capabilities, establishing a modern data stack is vital to enabling such growth. Here, we overview various in-data warehouse machine learning services, and discuss each of their benefits and requirements.

  https://www.kdnuggets.com/2021/06/in-warehouse-machine-learning-modern-data-science-stack.html

• 10 Python Code Snippets We Should All Know

  Check out these Python code snippets and start using them to solve everyday problems.

  https://www.kdnuggets.com/2021/06/10-python-code-snippets.html

• Workflow Orchestration with Prefect and Coiled

  Coiled helps data scientists use Python for ambitious problems, scaling to the cloud for computing power, ease, and speed—all tuned for the needs of teams and enterprises. In this demo example, see how to spin up a Coiled cluster to execute Prefect jobs during runtime.

  https://www.kdnuggets.com/2021/06/coiled-workflow-orchestration-prefect.html

• Create and Deploy Dashboards using Voila and Saturn Cloud

  Working with and training large datasets, maintaining them all in one place, and deploying them to production is a challenging job. In this article, we covered what Saturn Cloud is and how it can speed up your end-to-end pipeline, how to create dashboards using Voila and Python and publish them to production in just a few easy steps.

  https://www.kdnuggets.com/2021/06/create-deploy-dashboards-voila-saturn-cloud.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

• Fine-Tuning Transformer Model for Invoice Recognition

  The author presents a step-by-step guide from annotation to training.

  https://www.kdnuggets.com/2021/06/fine-tuning-transformer-model-invoice-recognition.html

• KDnuggets™ News 21:n23, Jun 23: Pandas vs SQL: When Data Scientists Should Use Each Tool; How to Land a Data Analytics Job in 6 Months

  Pandas vs SQL: When Data Scientists Should Use Each Tool; How to Land a Data Analytics Job in 6 Months; A Graph-based Text Similarity Method with Named Entity Information in NLP; The Best Way to Learn Practical NLP?; An introduction to Explainable AI (XAI) and Explainable Boosting Machines (EBM)

  https://www.kdnuggets.com/2021/n23.html

• The Word “WORD” Has 13 Meanings

  Thoughts around Knowledge Graphs, the semantic nature of language, and the two main types of word ambiguity.

  https://www.kdnuggets.com/2021/06/expert-word-has-13-meanings.html

• Amazing Low-Code Machine Learning Capabilities with New Ludwig Update

  Integration with Ray, MLflow and TabNet are among the top features of this release.

  https://www.kdnuggets.com/2021/06/ludwig-update-includes-low-code-machine-learning-capabilities.html

• Analytics Engineering Everywhere">Analytics Engineering Everywhere

  Many new roles have appeared in the data world ever since the rise of the Data Scientist took the spotlight several years ago. Now, there is a new core player ready to take center stage, and we may see in five years, nearly every organization will have an Analytics Engineering team.

  https://www.kdnuggets.com/2021/06/analytics-engineering-everywhere.html

• What is Segmentation?

  Segmentation refers to many things, and is one of the most frequently used words in marketing This article looks at segmentation from a somewhat different-than-usual perspective.

  https://www.kdnuggets.com/2021/06/what-segmentation.html

• Top Stories, Jun 14-20: Data Scientists Will be Extinct in 10 Years

  Also: Get Interactive Plots Directly With Pandas; How to Generate Automated PDF Documents with Python; Top 10 Data Science Projects for Beginners; Five types of thinking for a high performing data scientist

  https://www.kdnuggets.com/2021/06/top-news-week-0614-0620.html

• Using External Data to Accelerate Business in a Post-Vaccinated World

  Join this webinar, Jun 24, 2021, to learn how companies are developing insights to better prepare for growth opportunities, improve business performance and mitigate risk in a post-pandemic economy.

  https://www.kdnuggets.com/2021/06/roidna-external-data-accelerate-business-webinar.html

• Overview of AutoNLP from Hugging Face with Example Project

  AutoNLP is a beta project from Hugging Face that builds on the company’s work with its Transformer project. With AutoNLP you can get a working model with just a few simple terminal commands.

  https://www.kdnuggets.com/2021/06/overview-autonlp-hugging-face-example-project.html

• Pandas vs SQL: When Data Scientists Should Use Each Tool">Pandas vs SQL: When Data Scientists Should Use Each Tool

  Exploring data sets and understanding its structure, content, and relationships is a routine and core process for any Data Scientist. Multiple tools exist for performing such analysis, and we take a deep dive into the benefits and different approaches of two important tools, SQL and Pandas.

  https://www.kdnuggets.com/2021/06/pandas-vs-sql.html

• How to troubleshoot memory problems in Python

  Memory problems are hard to diagnose and fix in Python. This post goes through a step-by-step process for how to pinpoint and fix memory leaks using popular open source python packages.

  https://www.kdnuggets.com/2021/06/troubleshoot-memory-problems-python.html

• Major changes: Where Analytics, Data Science, Machine Learning were applied in 2020/21

  Our latest poll shows major change in where AI, Data Science, Machine Learning are being applied, with decline in interest in traditional fields like CRM/Consumer Analytics, and growth in applications to Computer Vision, COVID, Agriculture, and Education.

  https://www.kdnuggets.com/2021/06/poll-where-analytics-data-science-ml-applied.html

• High Performance Deep Learning, Part 1

  Advancing deep learning techniques continue to demonstrate incredible potential to deliver exciting new AI-enhanced software and systems. But, training the most powerful models is expensive--financially, computationally, and environmentally. Increasing the efficiency of such models will have profound impacts in many ways, so developing future models with this intension in mind will only help to further expand the reach, applicability, and value of what deep learning has to offer.

  https://www.kdnuggets.com/2021/06/efficiency-deep-learning-part1.html

• Data Science is Not Becoming Extinct in 10 Years, Your Skills Might

  4 reasons why data science is here to stay and what you need to do to ensure that your skillset stays in demand.

  https://www.kdnuggets.com/2021/06/data-science-not-becoming-extinct-10-years.html

• Submit Your Algorithm for a Chance to Win Prizes Totaling $700,000+

  Can your algorithm make fair and accurate #recidivism forecasts? Take part in US National Institute of Justice “Recidivism Forecasting Challenge” with prize money totaling over $700K.

  https://www.kdnuggets.com/2021/06/nij-recidivism-forecasting-challenge.html

• How to Land a Data Analytics Job in 6 Months">How to Land a Data Analytics Job in 6 Months

  Go from zero to hero in under six months. Data science has a very high barrier of entry. It is a very competitive field that everybody from different educational backgrounds are looking to get into. Here is useful advice on how to proceed.

  https://www.kdnuggets.com/2021/06/land-data-analytics-job-6-months.html

• Data storytelling: brains are built for visuals, but hearts turn on stories

  Today, we need much more than just numbers about our organization to understand, gain insights, and take relevant actions. While visualizations of the data are important, making an emotional connection with the stories behind the data is key. If you want to sell a story, send a missile to the heart.

  https://www.kdnuggets.com/2021/06/data-storytelling.html

• Dashboards for Interpreting & Comparing Machine Learning Models

  This article discusses using Interpret to create dashboards for machine learning models.

  https://www.kdnuggets.com/2021/06/dashboards-interpreting-comparing-machine-learning-models.html

• How a Polytechnic Helps You Make the Tech-Business Connection

  WPI welcomes professionals of all levels to its 100% online MS in Business Analytics — no GRE or GMAT required. Get started here.

  https://www.kdnuggets.com/2021/06/wpi-polytechnic-make-tech-business-connection.html

• The Best Way to Learn Practical NLP?

  Hugging Face has just released a course on using its libraries and ecosystem for practical NLP, and it appears to be very comprehensive. Have a look for yourself.

  https://www.kdnuggets.com/2021/06/best-way-learn-practical-nlp.html

• An introduction to Explainable AI (XAI) and Explainable Boosting Machines (EBM)

  Understanding why your AI-based models make the decisions they do is crucial for deploying practical solutions in the real-world. Here, we review some techniques in the field of Explainable AI (XAI), why explainability is important, example models of explainable AI using LIME and SHAP, and demonstrate how Explainable Boosting Machines (EBMs) can make explainability even easier.

  https://www.kdnuggets.com/2021/06/explainable-ai-xai-explainable-boosting-machines-ebm.html

• A Graph-based Text Similarity Method with Named Entity Information in NLP

  In this article, the author summarizes the 2017 paper "A Graph-based Text Similarity Measure That Employs Named Entity Information" as per their understanding. Better understand the concepts by reading along.

  https://www.kdnuggets.com/2021/06/graph-based-text-similarity-method-named-entity-information-nlp.html

• KDnuggets™ News 21:n22, Jun 16: Data Scientists Extinct in 10 Years? Generate Automated PDF Documents with Python

  Data Scientists be extinct in 10 years? How to generate PDF Documents with Python; Top 10 Data Science Projects for Beginners; Five types of thinking for a high performing data scientist; and how to get interactive plots directly with Pandas.

  https://www.kdnuggets.com/2021/n22.html

• KDnuggets Top Blogs Rewards for May 2021

  We announce the winners of the first KDnuggets Top Blog Rewards Program.

  https://www.kdnuggets.com/2021/06/top-blogs-rewards-may.html

• The Data Matters: Choosing the right data to analyze can make or break your analysis

  We started Nomad Data to help data scientists and business analysts quickly find the right commercial datasets to match their specific use case. We catalog use cases of data and use machine learning and AI to match analysis goals with datasets.

  https://www.kdnuggets.com/2021/06/nomad-data-matters.html

• 7 Data Security Best Practices for 2021

  Here are seven data security best practices to adopt this year.

  https://www.kdnuggets.com/2021/06/7-data-security-best-practices-2021.html

• Beginners Guide to Debugging TensorFlow Models

  If you are new to working with a deep learning framework, such as TensorFlow, there are a variety of typical errors beginners face when building and training models. Here, we explore and solve some of the most common errors to help you develop a better intuition for debugging in TensorFlow.

  https://www.kdnuggets.com/2021/06/beginners-guide-debugging-tensorflow-models.html

• Facebook Launches One of the Toughest Reinforcement Learning Challenges in History

  The FAIR team just launched the NetHack Challenge as part of the upcoming NeurIPS 2021 competition. The objective is to test new RL ideas using a one of the toughest game environments in the world.

  https://www.kdnuggets.com/2021/06/facebook-launches-toughest-reinforcement-learning-challenges.html

• Top Stories, Jun 7-13: 5 Tasks To Automate With Python; Five types of thinking for a high performing data scientist

  Also: How to Generate Automated PDF Documents with Python; Five types of thinking for a high performing data scientist; How I Doubled My Income with Data Science and Machine Learning; Top 10 Data Science Projects for Beginners

  https://www.kdnuggets.com/2021/06/top-news-week-0607-0613.html

• Data Scientists Will be Extinct in 10 Years">Data Scientists Will be Extinct in 10 Years

  And why it’s not a bad thing.

  https://www.kdnuggets.com/2021/06/data-scientists-extinct-10-years.html

• Get Interactive Plots Directly With Pandas">Get Interactive Plots Directly With Pandas

  Telling a story with data is a core function for any Data Scientist, and creating data visualizations that are simultaneously illuminating and appealing can be challenging. This tutorial reviews how to create Plotly and Bokeh plots directly through Pandas plotting syntax, which will help you convert static visualizations into interactive counterparts -- and take your analysis to the next level.

  https://www.kdnuggets.com/2021/06/interactive-plots-directly-pandas.html

• Building a Knowledge Graph for Job Search Using BERT

  A guide on how to create knowledge graphs using NER and Relation Extraction.

  https://www.kdnuggets.com/2021/06/knowledge-graph-job-search-bert.html

• Top 10 Data Science Projects for Beginners">Top 10 Data Science Projects for Beginners

  Check out these projects for ideas to strengthen your skills and build a portfolio that stands out.

  https://www.kdnuggets.com/2021/06/top-10-data-science-projects-beginners.html

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

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

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

• 9 Deadly Sins of Machine Learning Dataset Selection

  Avoid endless pain in model debugging by focusing on datasets upfront.

  https://www.kdnuggets.com/2021/06/9-deadly-sins-ml-dataset-selection.html

• Top May Stories: A Guide On How To Become A Data Scientist; Data Scientist, Data Engineer & Other Data Careers, Explained

  A Guide On How To Become A Data Scientist; Data Scientist, Data Engineer & Other Data Careers, Explained; Vaex: Pandas but 1000x faster; Data Preparation in SQL, with Cheat Sheet

  https://www.kdnuggets.com/2021/06/top-stories-2021-may.html

• Numerics V: Integrality – When Being Close Enough is not Always Good Enough

  Wow, already the fifth blog in this series…What is left to tell about numerics? There is another place where a MIP solver can sneak in minor violations that we have not yet discussed: The integrality conditions.

  https://www.kdnuggets.com/2021/06/fico-numerics-vs-integrality-close-enough.html

• The Essential Guide to Transformers, the Key to Modern SOTA AI

  You likely know Transformers from their recent spate of success stories in natural language processing, computer vision, and other areas of artificial intelligence, but are familiar with all of the X-formers? More importantly, do you know the differences, and why you might use one over another?

  https://www.kdnuggets.com/2021/06/essential-guide-transformers-key-modern-sota-ai.html

• Feature Selection – All You Ever Wanted To Know

  Although your data set may contain a lot of information about many different features, selecting only the "best" of these to be considered by a machine learning model can mean the difference between a model that performs well--with better performance, higher accuracy, and more computational efficiency--and one that falls flat. The process of feature selection guides you toward working with only the data that may be the most meaningful, and to accomplish this, a variety of feature selection types, methodologies, and techniques exist for you to explore.

  https://www.kdnuggets.com/2021/06/feature-selection-overview.html

• How to Generate Automated PDF Documents with Python">How to Generate Automated PDF Documents with Python

  Discover how to leverage automation to create dazzling PDF documents effortlessly.

  https://www.kdnuggets.com/2021/06/generate-automated-pdf-documents-python.html

• How to speed up a Deep Learning Language model by almost 50X at half the cost

  In this blog post, we show how to accelerate fine-tuning the ALBERT language model while also reducing costs by using Determined’s built-in support for distributed training with AWS spot instances.

  https://www.kdnuggets.com/2021/06/determined-ai-speed-up-deep-learning-language-model.html

• Data Scientists, You Need to Know How to Code

  You need to know how to code — and not just code, but write good code.

  https://www.kdnuggets.com/2021/06/data-scientists-need-know-code.html

• The 7 Best Open Source AI Libraries You May Not Have Heard Of

  AI researchers today have many exciting options for working with specialized tools. Although starting original projects from scratch is often not necessary, knowing which existing library to leverage remains a challenge. This list of generally unknown yet awesome, open-source libraries offers an interesting collection to consider for state-of-the-art research that spans from automatic machine learning to differentiable quantum circuits.

  https://www.kdnuggets.com/2021/06/7-open-source-ai-libraries.html

• How a Single Mistake Wasted 3 Years of My Data Science Journey

  Self-paced courses are just sleeping pills; Industry experts are the right choice.

  https://www.kdnuggets.com/2021/06/single-mistake-wasted-3-years-data-science.html

• KDnuggets™ News 21:n21, Jun 9: 5 Tasks To Automate With Python; How I Doubled My Income with Data Science and Machine Learning

  5 Tasks To Automate With Python; How I Doubled My Income with Data Science and Machine Learning; Will There Be a Shortage of Data Science Jobs in the Next 5 Years?; How to Make Python Code Run Incredibly Fast; Stop (and Start) Hiring Data Scientists

  https://www.kdnuggets.com/2021/n21.html

• SAS® Visual Data Science Decisioning powered by SAS® Viya®: Free Trial

  SAS® Visual Data Science Decisioning provides the ultimate analytics experience. Start your free trial and get access to the latest in data visualization, machine learning, forecasting, model deployment and more.

  https://www.kdnuggets.com/2021/06/sas-viya-visual-data-science-free-trial.html

• This Data Visualization is the First Step for Effective Feature Selection

  Understanding the most important features to use is crucial for developing a model that performs well. Knowing which features to consider requires experimentation, and proper visualization of your data can help clarify your initial selections. The scatter pairplot is a great place to start.

  https://www.kdnuggets.com/2021/06/data-visualization-feature-selection.html

• The only Jupyter Notebooks extension you truly need

  Now you don’t need to restart the kernel after editing the code in your custom imports.

  https://www.kdnuggets.com/2021/06/only-jupyter-notebooks-extension-truly-need.html

• 5 Tips for Picking an Edge AI Platform

  Edge Analytics isn’t just coding and tools. The different environment outside the datacenter or cloud means a purpose built platform is the best way to deliver consistent results. We discuss 5 different considerations for an edge platform to support your training and deployment.

  https://www.kdnuggets.com/2021/06/5-tips-edge-ai-platform.html

• 5 Data Science Open-source Projects You Should Consider Contributing to

  As you prepare to interview for a position in data science or are looking to jump to the next level, now is the time to enhance your skills and your resume with by working on rea, open-source projects. Here, we suggest a great selection of projects you can contribute to and help build something awesome, so, all you need to do choose one and tackle it head on.

  https://www.kdnuggets.com/2021/06/5-data-science-open-source-projects-contribute.html

• How to Fine-Tune BERT Transformer with spaCy 3

  A step-by-step guide on how to create a knowledge graph using NER and Relation Extraction.

  https://www.kdnuggets.com/2021/06/fine-tune-bert-transformer-spacy.html

• Top Stories, May 31 – Jun 6: A Guide On How To Become A Data Scientist (Step By Step Approach); How I Doubled My Income with Data Science and Machine Learning

  Also: 5 Tasks To Automate With Python; How I Doubled My Income with Data Science and Machine Learning; Will There Be a Shortage of Data Science Jobs in the Next 5 Years?; How to Make Python Code Run Incredibly Fast

  https://www.kdnuggets.com/2021/06/top-news-week-0531-0606.html

• PyCaret 101: An introduction for beginners

  This article is a great overview of how to get started with PyCaret for all your machine learning projects.

  https://www.kdnuggets.com/2021/06/pycaret-101-introduction-beginners.html

• 5 Tasks To Automate With Python">5 Tasks To Automate With Python

  Here are 5 tasks you can automate with Python, and how to do it.

  https://www.kdnuggets.com/2021/06/5-tasks-automate-python.html

• Beyond Brainless AI with a Feature Store

  AI-powered products that are limited to the data available within its application are like jellyfish: its autonomic system makes it functional, but it lacks a brain. However, you can evolve your models with data enriched "brains" through the help of a feature store.

  https://www.kdnuggets.com/2021/06/ai-with-feature-store.html

• 10 Deadly Sins of Machine Learning Model Training

  These mistakes are easy to overlook but costly to redeem.

  https://www.kdnuggets.com/2021/06/10-deadly-sins-machine-learning-model-training.html

• BigQuery vs Snowflake: A Comparison of Data Warehouse Giants

  In this article we are going to compare the two topmost data warehouses: BigQuery and Snowflake.

  https://www.kdnuggets.com/2021/06/bigquery-snowflake-comparison-data-warehouse-giants.html

• How a Data Scientist Should Communicate with Stakeholders

  Effective and collaborative communication with stakeholders is a skill that can help you survive in your role as a Data Scientist at your organization. Learn how to master this interaction, and you will perform your job better, see improved outcomes from your projects, and grow in your capabilities and career.

  https://www.kdnuggets.com/2021/06/data-scientist-communicate-stakeholders.html

• Will There Be a Shortage of Data Science Jobs in the Next 5 Years?">Will There Be a Shortage of Data Science Jobs in the Next 5 Years?

  The data science workflow is getting automated day by day.

  https://www.kdnuggets.com/2021/06/shortage-data-science-jobs-5-years.html

• Similarity Search: Euclid of Alexandria goes shoe shopping

  Many applications can be improved with similarity search. Similarity search can provide more relevant results and therefore improve business outcomes such as conversion rates, engagement rates, detected threats, data quality, and customer satisfaction.

  https://www.kdnuggets.com/2021/06/pinecone-similarity-search-euclid-alexandria-shoe-shopping.html

• Machine Learning Model Interpretation

  Read this overview of using Skater to build machine learning visualizations.

  https://www.kdnuggets.com/2021/06/machine-learning-model-interpretation.html

• Stop (and Start) Hiring Data Scientists

  Large companies are losing many data scientists to smaller companies, so what should executives and managers do? These three “stop & start” tactics can improve talent retention, and help define a new way of recruiting and working for the Data Science field.

  https://www.kdnuggets.com/2021/06/hiring-data-scientists.html

• How to Make Python Code Run Incredibly Fast">How to Make Python Code Run Incredibly Fast

  In this article, I have explained some tips and tricks to optimize and speed up Python code.

  https://www.kdnuggets.com/2021/06/make-python-code-run-incredibly-fast.html

• How to Create and Deploy a Simple Sentiment Analysis App via API

  In this article we will create a simple sentiment analysis app using the HuggingFace Transformers library, and deploy it using FastAPI.

  https://www.kdnuggets.com/2021/06/create-deploy-sentiment-analysis-app-api.html

• How I Doubled My Income with Data Science and Machine Learning">How I Doubled My Income with Data Science and Machine Learning

  Many career opportunities exist in the ever-expanding domain of data. Finding your place -- and finding your salary -- is largely up to your dedication, focus, and drive to learn. If you are an aspiring Data Scientist or have already started your professional journey, there are multiple strategies for maximizing your earning potential.

  https://www.kdnuggets.com/2021/06/double-income-data-science-machine-learning.html

• Overcoming the Simplicity Illusion with Data Migration

  What’s the key to a smooth data migration experience? It comes down to this primary issue: whether or not you can rapidly determine your dataset composition.

  https://www.kdnuggets.com/2021/06/overcoming-simplicity-illusion-data-migration.html

• Make Pandas 3 Times Faster with PyPolars

  Learn how to speed up your Pandas workflow using the PyPolars library.

  https://www.kdnuggets.com/2021/05/pandas-faster-pypolars.html

• Top 4 Data Extraction Tools

  Data extraction tools give you the boost you need for gathering information from a multitude of data sources. These four data extraction tools will help liberate you from manual data entry, understand complex documents, and simplify the data extraction process.

  https://www.kdnuggets.com/2021/05/top-4-data-extraction-tools.html

• Top Stories, May 24-30: A Guide On How To Become A Data Scientist (Step By Step Approach)

  Also: Top Programming Languages and Their Uses; Data Scientist, Data Engineer & Other Data Careers, Explained; Vaex: Pandas but 1000x faster; Choosing the Right BI Tool for Your Business

  https://www.kdnuggets.com/2021/05/top-news-week-0524-0530.html

• Supercharge Your Machine Learning Experiments with PyCaret and Gradio

  A step-by-step tutorial to develop and interact with machine learning pipelines rapidly.

  https://www.kdnuggets.com/2021/05/supercharge-machine-learning-experiments-pycaret-gradio.html

• State of Mathematical Optimization Report, 2021

  Download your copy of Gurobi's first-ever "State of Mathematical Optimization Report," which is based on data from a survey of commercial mathematical optimization users. Get yours now.

  https://www.kdnuggets.com/2021/05/gurobi-state-mathematical-optimization-report-2021.html

• Essential Math for Data Science: Basis and Change of Basis

  In this article, you will learn what the basis of a vector space is, see that any vectors of the space are linear combinations of the basis vectors, and see how to change the basis using change of basis matrices.

  https://www.kdnuggets.com/2021/05/essential-math-data-science-basis-change-basis.html

• 4 Tips for Dataset Curation for NLP Projects

  You have heard it before, and you will hear it again. It's all about the data. Curating the right data is also so important than just curating any data. When dealing with text data, many hard-earned lessons have been learned by others over the years, and here are four data curation tips that you should be sure to follow during your next NLP project.

  https://www.kdnuggets.com/2021/05/4-tips-dataset-curation-nlp-projects.html