Search results for Natural Language Processing

Found 1056 documents, 5970 searched:

• Using Numpy’s argmax()

  A simple overview of using an often-misunderstood yet useful function in Python: Numpy's argmax(). Read the what, the how, and the why of argmax() here.

  https://www.kdnuggets.com/2022/07/using-numpy-argmax.html

• 12 Most Challenging Data Science Interview Questions

  The simple but tricky data science questions that most people struggle to answer.

  https://www.kdnuggets.com/2022/07/12-challenging-data-science-interview-questions.html

• Free Python Automation Course

  Who wants to do boring stuff? Learn to automate the mundane with Python thanks to this free course. Set it and forget it!

  https://www.kdnuggets.com/2022/07/free-automate-python-course.html

• Free Artificial Intelligence And Deep Learning Crash Course

  Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.

  https://www.kdnuggets.com/2022/07/free-artificial-intelligence-deep-learning-crash-course.html

• KDnuggets News, July 13: Linear Algebra for Data Science; 10 Modern Data Engineering Tools

  Linear Algebra for Data Science; 10 Modern Data Engineering Tools; Python String Processing Cheatsheet; Simple Salary Guide for Tech Experts 2022; 16 Essential DVC Commands for Data Science

  https://www.kdnuggets.com/2022/n28.html

• Free Python Crash Course

  Python is the most popular programming language in the world. Master it with this free crash course.

  https://www.kdnuggets.com/2022/07/free-python-crash-course.html

• Market Data and News: A Time Series Analysis

  In this article we introduce a few tools and techniques for studying relationships between the stock market and the news. We explore time series processing, anomaly detection, and an event-based view of the news. We also generate intuitive charts to demonstrate some of these concepts, and share the code behind all of this in a notebook.

  https://www.kdnuggets.com/2022/06/market-data-news-time-series-analysis.html

• KDnuggets News, June 22: Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy

  Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy; Top Data Science Podcasts for 2022; Prepare Your Data for Effective Tableau & Power BI Dashboards; Generate Synthetic Time-series Data with Open-source Tools

  https://www.kdnuggets.com/2022/n25.html

• The Complete Collection of Data Science Interviews – Part 1

  The first part covers the list of Behavioral, Situational, Statistics, Python, R, SQL, Data Analytics, and Business Intelligence interview questions.

  https://www.kdnuggets.com/2022/06/complete-collection-data-science-interviews-part-1.html

• Deep Learning Key Terms, Explained

  Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

  https://www.kdnuggets.com/2016/10/deep-learning-key-terms-explained.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

• Every Engineer Should and Can Learn Machine Learning

  Read this interview with Sourabh Bajaj of co:rise, discussing the evolution of the ML role, how he designed the course to connect with today’s business needs, and how he thinks students can apply the covered topics at the end of each course!

  https://www.kdnuggets.com/2022/06/corise-every-engineer-learn-machine-learning.html

• Genetic Algorithm Key Terms, Explained

  This article presents simple definitions for 12 genetic algorithm key terms, in order to help better introduce the concepts to newcomers.

  https://www.kdnuggets.com/2018/04/genetic-algorithm-key-terms-explained.html

• Top 18 Data Science Groups on LinkedIn

  Join the best data science professional groups on LinkedIn to share insights and experiences, ask for guidance, and build valuable connections.

  https://www.kdnuggets.com/2022/06/top-18-data-science-group-linkedin.html

• Database Key Terms, Explained

  Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.

  https://www.kdnuggets.com/2016/07/database-key-terms-explained.html

• Descriptive Statistics Key Terms, Explained

  This is a collection of 15 basic descriptive statistics key terms, explained in easy to understand language, along with an example and some Python code for computing simple descriptive statistics.

  https://www.kdnuggets.com/2017/05/descriptive-statistics-key-terms-explained.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

• Operationalizing Machine Learning from PoC to Production

  Most companies haven’t seen ROI from machine learning since the benefit is only realized when the models are in production. Here’s how to make sure your ML project works.

  https://www.kdnuggets.com/2022/05/operationalizing-machine-learning-poc-production.html

• KDnuggets News, May 18: 5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management

  5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management; Popular Machine Learning Algorithms; Reinforcement Learning for Newbies ; Deep Learning For Compliance Checks: What's New?

  https://www.kdnuggets.com/2022/n20.html

• Reinforcement Learning for Newbies

  A simple guide to reinforcement learning for a complete beginner. The blog includes definitions with examples, real-life applications, key concepts, and various types of learning resources.

  https://www.kdnuggets.com/2022/05/reinforcement-learning-newbies.html

• Centroid Initialization Methods for k-means Clustering

  This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.

  https://www.kdnuggets.com/2020/06/centroid-initialization-k-means-clustering.html

• oBERT: Compound Sparsification Delivers Faster Accurate Models for NLP

  Discover "compound sparsification" and how to apply it to BERT models for 10x compression and GPU-level latency on commodity CPUs.

  https://www.kdnuggets.com/2022/05/obert-compound-sparsification-delivers-faster-accurate-models-nlp.html

• Deep Learning For Compliance Checks: What’s New?

  By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.

  https://www.kdnuggets.com/2022/05/deep-learning-compliance-checks-new.html

• 5 Free Hosting Platform For Machine Learning Applications

  Learn about the free and easy-to-deploy hosting platform for your machine learning projects.

  https://www.kdnuggets.com/2022/05/5-free-hosting-platform-machine-learning-applications.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

• Machine Learning Key Terms, Explained

  Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.

  https://www.kdnuggets.com/2016/05/machine-learning-key-terms-explained.html

• 6 Highest Paying Companies for Data Scientists

  These are the six top paying companies for data scientists. I’ve looked at absolute salary, but I’ll fill you in on other factors you should consider as well when it comes to picking a data science job for money.

  https://www.kdnuggets.com/2022/05/6-highest-paying-companies-data-scientists.html

• Best Data Science Career Tracks of 2022

  Top-rated data science tracks consist of multiple project-based courses covering all aspects of data. It includes an introduction to Python/R, data ingestion & manipulation, data visualization, machine learning, and reporting.

  https://www.kdnuggets.com/2022/04/best-data-science-career-tracks-2022.html

• Data Scientist, Data Engineer & Other Data Careers, Explained

  In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.

  https://www.kdnuggets.com/2021/05/data-scientist-data-engineer-data-careers-explained.html

• How Metadata Improves Security, Quality, and Transparency

  Metadata is the data providing context about the data, more than what you see in the rows and columns. By managing your metadata, you're effectively creating an encyclopedia of your data assets.

  https://www.kdnuggets.com/2022/04/metadata-improves-security-quality-transparency.html

• A Brief Introduction to Papers With Code

  One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

  https://www.kdnuggets.com/2022/04/brief-introduction-papers-code.html

• KDnuggets News 22:n16, Apr 20: Top YouTube Channels for Learning Data Science; Data Visualization in Python with Seaborn

  Top YouTube Channels for Learning Data Science; Data Visualization in Python with Seaborn; Deploy a Machine Learning Web App with Heroku; How to Ace Data Science Assessment Test by Using Automatic EDA Tools; Will DeepMind’s AlphaCode Replace Programmers?

  https://www.kdnuggets.com/2022/n16.html

• How to Determine the Best Fitting Data Distribution Using Python

  Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.

  https://www.kdnuggets.com/2021/09/determine-best-fitting-data-distribution-python.html

• Answering Questions with HuggingFace Pipelines and Streamlit

  See how easy it can be to build a simple web app for question answering from text using Streamlit and HuggingFace pipelines.

  https://www.kdnuggets.com/2021/10/simple-question-answering-web-app-hugging-face-pipelines.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

• Naïve Bayes Algorithm: Everything You Need to Know

  Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.

  https://www.kdnuggets.com/2020/06/naive-bayes-algorithm-everything.html

• Machine Learning Pipeline Optimization with TPOT

  Let's revisit the automated machine learning project TPOT, and get back up to speed on using open source AutoML tools on our way to building a fully-automated prediction pipeline.

  https://www.kdnuggets.com/2021/05/machine-learning-pipeline-optimization-tpot.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

• Junior vs Senior Data Scientist Salary: What’s the Difference?

  Check out this US salary deep dive for 2022 career decisions, work, & interests.

  https://www.kdnuggets.com/2022/03/junior-senior-data-scientist-salary-difference.html

• WTF is a Tensor?!?

  A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.

  https://www.kdnuggets.com/2018/05/wtf-tensor.html

• DIY Automated Machine Learning with Streamlit

  In this article, we will create an automated machine learning web app you can actually use.

  https://www.kdnuggets.com/2021/11/diy-automated-machine-learning-app.html

• How to Engineer Date Features in Python

  This article discusses and demonstrates how to quickly engineer some common date features using Python.

  https://www.kdnuggets.com/2021/08/engineer-date-features-python.html

• Become a Data Science Professional in Five Steps

  If your new year's resolution was to start a career in data science but you have stalled, simply follow these easy steps to acquire professional certification within a year.

  https://www.kdnuggets.com/2022/03/become-data-science-professional-five-steps.html

• What certification are you adding to your toolkit in 2022?

  Learn more about the popular certifications that will validate your data and analytics skills.

  https://www.kdnuggets.com/2022/03/sas-certification-adding-toolkit-2022.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

• Hybrid AI Will Go Mainstream in 2022

  Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.

  https://www.kdnuggets.com/2022/03/hybrid-ai-go-mainstream-2022.html

• How to Create a Dataset for Machine Learning

  Datasets - properly curated and labeled - remain a scarce resource. What can be done about this?

  https://www.kdnuggets.com/2022/02/create-dataset-machine-learning.html

• 6 Data Science Startups To Work For In 2022

  If you’re looking to put your skills to the test, here are the top six startups you should consider working for in 2022.

  https://www.kdnuggets.com/2022/02/6-data-science-startups-work-2022.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 You Can Use Machine Learning to Automatically Label Data

  AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.

  https://www.kdnuggets.com/2022/02/machine-learning-automatically-label-data.html

• Free MIT Courses on Calculus: The Key to Understanding Deep Learning

  Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

  https://www.kdnuggets.com/2020/07/free-mit-courses-calculus-key-deep-learning.html

• Top 5 Free Machine Learning Courses

  Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.

  https://www.kdnuggets.com/2022/02/top-5-free-machine-learning-courses.html

• Managing Your Reusable Python Code as a Data Scientist

  Here are a few approaches that I have settled on for managing my own reusable Python code as a data scientist, presented from most to least general code use, and aimed at beginners.

  https://www.kdnuggets.com/2021/06/managing-reusable-python-code-data-scientist.html

• The Complete Collection of Data Science Cheat Sheets – Part 1

  A collection of cheat sheets that will help you prepare for a technical interview, assessment tests, class presentation, and help you revise core data science concepts.

  https://www.kdnuggets.com/2022/02/complete-collection-data-science-cheat-sheets-part-1.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

• 8 Best Data Science Courses to Enroll in 2022 For Steep Career Advancement

  Here is the list of the top 8 data science courses and programs that you can consider for upskilling yourself and get the best data scientist job in 2022.

  https://www.kdnuggets.com/2022/02/scaler-8-best-data-science-courses-enroll-2022-steep-career-advancement.html

• How to Write SQL in Native Python

  If the idea of being able to link with SQL databases and define, manipulate, and query using Python sounds appealing, check out the SQLModel library.

  https://www.kdnuggets.com/2022/02/easy-sql-native-python.html

• Fine-Tuning BERT for Tweets Classification with HuggingFace

  In this blog, we used the Hugging Face library to fine-tune BERT on the classification task. We classified tweets related to COVID.

  https://www.kdnuggets.com/2022/01/finetuning-bert-tweets-classification-ft-hugging-face.html

• Learn Machine Learning 4X Faster by Participating in Competitions

  Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

  https://www.kdnuggets.com/2022/01/learn-machine-learning-4x-faster-participating-competitions.html

• Why Humbling Yourself Will Improve Your Data Science Skills

  Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life.

  https://www.kdnuggets.com/2022/01/humbling-improve-data-science-skills.html

• 6 Data Science Technologies You Need to Build Your Supply Chain Pipeline

  Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.

  https://www.kdnuggets.com/2022/01/6-data-science-technologies-need-build-supply-chain-pipeline.html

• KDnuggets™ News 22:n03, Jan 19: A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews

  A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews; 5 Things to Keep in Mind Before Selecting Your Next Data Science Job; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; Running Redis on Google Colab

  https://www.kdnuggets.com/2022/n03.html

• Query Your Pandas DataFrames with SQL

  Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.

  https://www.kdnuggets.com/2021/10/query-pandas-dataframes-sql.html

• What is Transfer Learning?

  During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject.

  https://www.kdnuggets.com/2022/01/transfer-learning.html

• Learn Deep Learning by Building 15 Neural Network Projects in 2022

  Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.

  https://www.kdnuggets.com/2022/01/15-neural-network-projects-build-2022.html

• 11 Best Companies to Work for as a Data Scientist

  This list of best data science companies aims to go beyond the usual and expected. Some great and perhaps underrated options to get a job as a data scientist.

  https://www.kdnuggets.com/2021/12/11-best-companies-work-data-scientist.html

• How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022

  AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.

  https://www.kdnuggets.com/2021/12/aiml-technology-integration-help-business-achieving-goals-2022.html

• Cutting Down Implementation Time by Integrating Jupyter and KNIME

  Are you a KNIME fan or a Jupyter fan? Well, here you don’t have to choose.

  https://www.kdnuggets.com/2021/12/cutting-implementation-time-integrating-jupyter-knime.html

• 6 Predictive Models Every Beginner Data Scientist Should Master">6 Predictive Models Every Beginner Data Scientist Should Master

  Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.

  https://www.kdnuggets.com/2021/12/6-predictive-models-every-beginner-data-scientist-master.html

• The Chatbot Transformation: From Failure to the Future

  The all-knowing chatbots we once thought to be the future have been replaced by specialized bots, and the results are outstanding.

  https://www.kdnuggets.com/2021/12/chatbot-transformation-failure-future.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

• My First Six Months as a Data Scientist

  The technical and non-technical lessons I’ve learned.

  https://www.kdnuggets.com/2021/12/first-six-months-data-scientist.html

• Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science">Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science

  How I flipped the educational model to become a more effective data scientist.

  https://www.kdnuggets.com/2021/12/stop-learning-data-science-find-purpose.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

• Analyzing Scientific Articles with fine-tuned SciBERT NER Model and Neo4j

  In this article, we will be analyzing a dataset of scientific abstracts using the Neo4j Graph database and a fine-tuned SciBERT model.

  https://www.kdnuggets.com/2021/12/analyzing-scientific-articles-finetuned-scibert-ner-model-neo4j.html

• Should You Become a Freelance Artificial Intelligence Engineer?

  Take the first step towards your machine learning engineering career and explore the UC San Diego Extension Machine Learning Engineering Bootcamp today. Those with prior software engineering or data science experience are encouraged to apply.

  https://www.kdnuggets.com/2021/12/ucsd-become-freelance-artificial-intelligence-engineer.html

• Sentiment Analysis API vs Custom Text Classification: Which one to choose?

  In this article, we are going to compare the sentiment extraction performance between Sentiment Analysis engines and Custom Text classification engines. The idea is to show pros and cons of these two types of engines on a concrete dataset.

  https://www.kdnuggets.com/2021/11/sentiment-analysis-api-custom-text-classification.html

• Sentiment Analysis with KNIME

  Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.

  https://www.kdnuggets.com/2021/11/sentiment-analysis-knime.html

• 3 Differences Between Coding in Data Science and Machine Learning

  The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.

  https://www.kdnuggets.com/2021/11/3-differences-coding-data-science-machine-learning.html

• Inside recommendations: how a recommender system recommends

  We describe types of recommender systems, more specifically, algorithms and methods for content-based systems, collaborative filtering, and hybrid systems.

  https://www.kdnuggets.com/2021/11/recommendations-recommender-system.html

• 10 AI Project Ideas in Computer Vision

  The field of computer vision has seen the development of very powerful applications leveraging machine learning. These projects will introduce you to these techniques and guide you to more advanced practice to gain a deeper appreciation for the sophistication now available.

  https://www.kdnuggets.com/2021/11/10-ai-project-ideas-computer-vision.html

• Dream Come True: Building websites by thinking about them

  From the mind to the computer, make websites using your imagination!

  https://www.kdnuggets.com/2021/11/dream-come-true-allennlp-hacks-21.html

• OpenAI’s Approach to Solve Math Word Problems

  OpenAI's latest research aims to solve math word problems. Let's dive a bit deeper into the ideas behind this new research.

  https://www.kdnuggets.com/2021/11/open-ai-approach-solve-math-word-problems.html

• Toloka 101 Live Demo: Learn how to get reliable training data for machine learning, Nov 11

  Toloka is a crowdsourced data labeling platform that handles data collection and annotation projects for machine learning at any scale. In this Nov 11 Live Demo, Learn how to get reliable training data for machine learning.

  https://www.kdnuggets.com/2021/11/toloka-training-data-machine-learning.html

• 7 of The Coolest Machine Learning Topics of 2021 at ODSC West

  At our upcoming event this November 16th-18th in San Francisco, ODSC West 2021 will feature a plethora of talks, workshops, and training sessions on machine learning topics, deep learning, NLP, MLOps, and so on. You can register now for 20% off all ticket types, or register for a free AI Expo Pass to see what some big names in AI are doing now.

  https://www.kdnuggets.com/2021/11/odsc-7-coolest-machine-learning-topics.html

• Salary Breakdown of the Top Data Science Jobs">Salary Breakdown of the Top Data Science Jobs

  Machine Learning vs NLP vs Data Engineer vs Data Scientist, and what it means to be in each role.

  https://www.kdnuggets.com/2021/11/salary-breakdown-top-data-science-jobs.html

• Want to Join a Bank? Everything Data Scientists Need to Know About Working in Fintech

  There is ample opportunity for data scientists in the financial services sector. The career experience can be very different, however, from similar roles at pure technology organizations. So, it's best to first consider if this industry is right for your interests, preferences for how you work, and long-term goals.

  https://www.kdnuggets.com/2021/10/bank-data-scientists-working-fintech.html

• Machine Learning Model Development and Model Operations: Principles and Practices">Machine Learning Model Development and Model Operations: Principles and Practices

  The ML model management and the delivery of highly performing model is as important as the initial build of the model by choosing right dataset. The concepts around model retraining, model versioning, model deployment and model monitoring are the basis for machine learning operations (MLOps) that helps the data science teams deliver highly performing models.

  https://www.kdnuggets.com/2021/10/machine-learning-model-development-operations-principles-practice.html

• Data Scientist vs Data Engineer Salary">Data Scientist vs Data Engineer Salary

  What are the differences between these two popular tech roles?

  https://www.kdnuggets.com/2021/10/data-scientist-data-engineer-salary.html

• 11 Most Practical Data Science Skills for 2022

  While the field of data science continues to evolve with exciting new progress in analytical approaches and machine learning, there remain a core set of skills that are foundational for all general practitioners and specialists, especially those who want to be employable with full-stack capabilities.

  https://www.kdnuggets.com/2021/10/11-most-practical-data-science-skills-2022.html

• The 20 Python Packages You Need For Machine Learning and Data Science">The 20 Python Packages You Need For Machine Learning and Data Science

  Do you do Python? Do you do data science and machine learning? Then, you need to do these crucial Python libraries that enable nearly all you will want to do.

  https://www.kdnuggets.com/2021/10/20-python-packages.html

• Top September Stories: Do You Read Excel Files with Python? There is a 1000x Faster Way

  Also: Data Scientists Without Data Engineering Skills Will Face the Harsh Truth; Nine Tools I Wish I Mastered Before My PhD in ML; A Data Science Portfolio That Will Land You The Job

  https://www.kdnuggets.com/2021/10/top-stories-2021-sep.html

• Surpassing Trillion Parameters and GPT-3 with Switch Transformers – a path to AGI?">Surpassing Trillion Parameters and GPT-3 with Switch Transformers – a path to AGI?

  Ever larger models churning on increasingly faster machines suggest a potential path toward smarter AI, such as with the massive GPT-3 language model. However, new, more lean, approaches are being conceived and explored that may rival these super-models, which could lead to a future with more efficient implementations of advanced AI-driven systems.

  https://www.kdnuggets.com/2021/10/trillion-parameters-gpt-3-switch-transformers-path-agi.html

• Use These Unique Data Sets to Sharpen Your Data Science Skills

  Want to get your hands on some real-world data sets right now? Kick off your bootcamp prep with this list of hot-button data sets curated to help you hone different data science skills.

  https://www.kdnuggets.com/2021/09/springboard-unique-data-sets-data-science-skills.html

• Transform speech into knowledge with Huggingface/Facebook AI and expert.ai

  Speech2Data is a blend of open source and free-to-use AI models and technologies powered by Huggingface, Facebook AI and expert.ai. Learn more here.

  https://www.kdnuggets.com/2021/09/expert-ai-speech-huggingface-facebook.html

• Path to Full Stack Data Science">Path to Full Stack Data Science

  Start your journey toward mastering all aspects of the field of Data Science with this focused list of in-depth self-learning resources. Curated with the beginner in mind, these recommendations will help you learn efficiently, and can also offer existing professionals useful highlights for review or help filling in any gaps in skills.

  https://www.kdnuggets.com/2021/09/path-full-stack-data-science.html

• A Breakdown of Deep Learning Frameworks

  Deep Learning continues to evolve as one of the most powerful techniques in the AI toolbox. Many software packages exist today to support the development of models, and we highlight important options available with key qualities and differentiators to help you select the most appropriate for your needs.

  https://www.kdnuggets.com/2021/09/a-breakdown-deep-learning-frameworks.html

• Nine Tools I Wish I Mastered Before My PhD in Machine Learning">Nine Tools I Wish I Mastered Before My PhD in Machine Learning

  Whether you are building a start up or making scientific breakthroughs these tools will bring your ML pipeline to the next level.

  https://www.kdnuggets.com/2021/09/nine-tools-mastered-before-phd-machine-learning.html

• The Machine & Deep Learning Compendium Open Book">The Machine & Deep Learning Compendium Open Book

  After years in the making, this extensive and comprehensive ebook resource is now available and open for data scientists and ML engineers. Learn from and contribute to this tome of valuable information to support all your work in data science from engineering to strategy to management.

  https://www.kdnuggets.com/2021/09/machine-deep-learning-open-book.html

• Speeding up Neural Network Training With Multiple GPUs and Dask

  A common moment when training a neural network is when you realize the model isn’t training quickly enough on a CPU and you need to switch to using a GPU. It turns out multi-GPU model training across multiple machines is pretty easy with Dask. This blog post is about my first experiment in using multiple GPUs with Dask and the results.

  https://www.kdnuggets.com/2021/09/speeding-neural-network-training-multiple-gpus-dask.html

• Top 18 Low-Code and No-Code Machine Learning Platforms">Top 18 Low-Code and No-Code Machine Learning Platforms

  Machine learning becomes more accessible to companies and individuals when there is less coding involved. Especially if you are just starting your path in ML, then check out these low-code and no-code platforms to help expedite your capabilities in learning and applying AI.

  https://www.kdnuggets.com/2021/09/top-18-low-code-no-code-machine-learning-platforms.html

• Math 2.0: The Fundamental Importance of Machine Learning

  Machine learning is not just another way to program computers; it represents a fundamental shift in the way we understand the world. It is Math 2.0.

  https://www.kdnuggets.com/2021/09/math-fundamental-importance-machine-learning.html

• Popular Certifications to validate your data and analytics skills

  Check out the most popular certifications from SAS to see what certification you want to pursue next. Now through the end of 2021, you can save 55% on your exam!

  https://www.kdnuggets.com/2021/09/sas-popular-certifications-data-analytics-skills.html

• How Machine Learning Leverages Linear Algebra to Solve Data Problems

  Why you should learn the fundamentals of linear algebra.

  https://www.kdnuggets.com/2021/09/machine-learning-leverages-linear-algebra-solve-data-problems.html

• Data Science Cheat Sheet 2.0">Data Science Cheat Sheet 2.0

  Check out this helpful, 5-page data science cheat sheet to assist with your exam reviews, interview prep, and anything in-between.

  https://www.kdnuggets.com/2021/09/data-science-cheat-sheet.html

• How is Machine Learning Beneficial in Mobile App Development?

  Mobile app developers have a lot to gain by implementing AI & Machine Learning from the revolutionary changes that these disruptive technologies can offer. This is due to AI and ML's potential to strengthen mobile applications, providing for smoother user experiences capable of leveraging powerful features.

  https://www.kdnuggets.com/2021/09/machine-learning-beneficial-mobile-app-development.html

• 3 Data Acquisition, Annotation, and Augmentation Tools

  Check out these 3 projects found around GitHub that can help with your data acquisition, annotation, and augmentation tasks.

  https://www.kdnuggets.com/2021/08/3-data-labeling-synthesizing-augmentation-tools.html

• Learning Data Science and Machine Learning: First Steps After The Roadmap">Learning Data Science and Machine Learning: First Steps After The Roadmap

  Just getting into learning data science may seem as daunting as (if not more than) trying to land your first job in the field. With so many options and resources online and in traditional academia to consider, these pre-requisites and pre-work are recommended before diving deep into data science and AI/ML.

  https://www.kdnuggets.com/2021/08/learn-data-science-machine-learning.html

• 15 Things I Look for in Data Science Candidates

  This article presents advice for anyone looking or hiring for data science jobs, written by someone with practical and useful insight.

  https://www.kdnuggets.com/2021/08/15-things-data-science-candidates.html

• How to Train a BERT Model From Scratch

  Meet BERT’s Italian cousin, FiliBERTo.

  https://www.kdnuggets.com/2021/08/train-bert-model-scratch.html

• Using Twitter to Understand Pizza Delivery Apprehension During COVID

  Analyzing customer sentiments and capturing any specific difference in emotion to order Dominos pizza in India during lockdown.

  https://www.kdnuggets.com/2021/08/twitter-understand-pizza-delivery-covid.html

• A Brief Introduction to the Concept of Data">A Brief Introduction to the Concept of Data

  Every aspiring data scientist must know the concept of data and the kind of analysis they can run. This article introduces the concept of data (quantitative and qualitative) and the types of analysis.

  https://www.kdnuggets.com/2021/07/brief-introduction-concept-data.html

• An AI-Based Framework Solution to Address Email Management Challenges

  Expert.ai’s Edge NL API is an on-premise API that can perform NLU tasks with no required training or extra work, offering advanced, out-of-the-box capabilities that address common use cases and can be easily customized to your specific needs.

  https://www.kdnuggets.com/2021/07/expertai-ai-based-framework-solution-email-management.html

• Machine Learning Skills – Update Yours This Summer

  The process of mastering new knowledge often requires multiple passes to ensure the information is deeply understood. If you already began your journey into machine learning and data science, then you are likely ready for a refresher on topics you previously covered. This eight-week self-learning path will help you recapture the foundations and prepare you for future success in applying these skills.

  https://www.kdnuggets.com/2021/07/update-your-machine-learning-skills.html

• Facebook Open Sources a Chatbot That Can Discuss Any Topic

  The new version expands the capabilities of its predecessor building a much more natural conversational experience.

  https://www.kdnuggets.com/2021/07/facebook-open-sources-chatbot-discuss-any-topic.html

• Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics">Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics

  Modern AI/ML systems’ success has been critically dependent on their ability to process massive amounts of raw data in a parallel fashion using task-optimized hardware. Can we leverage the power of GPU and distributed computing for regular data processing jobs too?

  https://www.kdnuggets.com/2021/07/deep-learning-gpu-accelerate-data-science-data-analytics.html

• The Best SOTA NLP Course is Free!

  Hugging Face has recently 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/2021/07/best-sota-nlp-course-free.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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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