Search results for
-
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
-
Explain NLP Models with LIME
It is important to know how LIME reaches to its final outputs for explaining a prediction done for text data. In this article, I have shared that concept by enlightening the components of LIME.https://www.kdnuggets.com/2022/01/explain-nlp-models-lime.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
-
Artificial Intelligence Project Ideas for 2022
In this article, I will provide you with a list of artificial intelligence project ideas that would look great on your resume.Âhttps://www.kdnuggets.com/2022/01/artificial-intelligence-project-ideas-2022.html
-
How to Answer Data Science Coding Interview Questions
Use this checklist to make sure your answer to the data science coding interview questions is on the right track.https://www.kdnuggets.com/2022/01/answer-data-science-coding-interview-questions.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
-
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
-
Top Programming Languages and Their Uses
The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.https://www.kdnuggets.com/2021/05/top-programming-languages.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 Colabhttps://www.kdnuggets.com/2022/n03.html
-
Demystifying Bad Science
Rigorous science is challenging and any study can be questioned. Deception is part of human nature and scientists are human, as are journalists and policymakers. We are too and must be careful not to trust a study just because we find it exciting, or because it comforts us or conforms to our beliefs.https://www.kdnuggets.com/2022/01/demystifying-bad-science.html
-
The Best Learning Resources for Data Science in 2022
Unclutter your space and learn about the best books, free tutorials, courses, platforms, and certifications to start your data science journey.https://www.kdnuggets.com/2022/01/best-learning-resources-data-science-2022.html
-
How to Process a DataFrame with Millions of Rows in Seconds
TLDR; process it with a new Python Data Processing Engine in the Cloud.https://www.kdnuggets.com/2022/01/process-dataframe-millions-rows-seconds.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 Scientist vs Data Analyst vs Data Engineer
In this article, I will describe three of the most promising career options within the data industry  — data analytics, data science, and data engineering.https://www.kdnuggets.com/2022/01/data-scientist-data-analyst-data-engineer.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
-
Data Science Web nugget Roundup, Jan 14: Kaggle Datasets & Python Debugging
In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.https://www.kdnuggets.com/2022/01/weekly-web-nugget-roundup-0114.html
-
Running Redis on Google Colab
Open source Redis is being increasingly used in Machine Learning, but running it on Colab is different compared to on your local machine or with Docker. Read on for a 2-step tutorial on how to do it.https://www.kdnuggets.com/2022/01/running-redis-google-colab.html
-
Transfer Learning for Image Recognition and Natural Language Processing
Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.https://www.kdnuggets.com/2022/01/transfer-learning-image-recognition-natural-language-processing.html
-
Top Five SQL Window Functions You Should Know For Data Science Interviews
Focusing on the important concepts for data scientists.https://www.kdnuggets.com/2022/01/top-five-sql-window-functions-know-data-science-interviews.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
-
A Deep Look Into 13 Data Scientist Roles and Their Responsibilities
Any modern company of any significant size around the world has a data science department, and a data engineer at one company might have the same responsibilities as a marketing scientist at another company. Data science jobs are not well-labeled, so make sure to cast a wide net.https://www.kdnuggets.com/2022/01/deep-look-13-data-scientist-roles-responsibilities.html
-
A (Much) Better Approach to Evaluate Your Machine Learning Model
Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not.https://www.kdnuggets.com/2022/01/much-better-approach-evaluate-machine-learning-model.html
-
Context, Consistency, And Collaboration Are Essential For Data Science Success
It’s crucial to investigate the reasons why data science teams require context, consistency, and secure collaboration of their data to ensure data science success. Let's quickly examine each of these requirements so that we can better understand what data science success moving forward may look like.https://www.kdnuggets.com/2022/01/context-consistency-collaboration-essential-data-science-success.html
-
5 Things to Keep in Mind Before Selecting Your Next Data Science Job
These are some of the most critical questions that I think are important to consider when selecting the next job.https://www.kdnuggets.com/2022/01/5-things-keep-mind-selecting-next-job.html
-
Interpretable Neural Networks with PyTorch
Learn how to build feedforward neural networks that are interpretable by design using PyTorch.https://www.kdnuggets.com/2022/01/interpretable-neural-networks-pytorch.html
-
A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment
How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.https://www.kdnuggets.com/2021/12/deployment-machine-learning-algorithm-live-production-environment.html
-
The Story of the Women in Data Science (WiDS) Datathon
The author shares their experience of almost winning the competition and the things they have learned from the failures. Learn more about the WiDS Datathon and tips on winning the next challenge.https://www.kdnuggets.com/2022/01/story-women-data-science-wids-datathon.html
-
SQL Interview Questions for Experienced Professionals
This article will show you what SQL concepts you should know as an experienced professional.https://www.kdnuggets.com/2022/01/sql-interview-questions-experienced-professionals.html
-
Deliver a Killer Presentation in Data Science Interviews
How to present yourself as a strong candidate in interview presentations.https://www.kdnuggets.com/2022/01/deliver-killer-presentation-data-science-interviews.html
-
Automate Microsoft Excel and Word Using Python
Integrate Excel with Word to generate automated reports seamlessly.https://www.kdnuggets.com/2021/08/automate-microsoft-excel-word-python.html
-
Misconceptions About Semantic Segmentation Annotation
Semantic segmentation is a computer vision problem that entails putting related elements of an image into the same class. Read on to discover more, including the difficulties associated with annotation.https://www.kdnuggets.com/2022/01/misconceptions-semantic-segmentation-annotation.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
-
Why Do Machine Learning Models Die In Silence?
A critical problem for companies when integrating machine learning in their business processes is not knowing why they don't perform well after a while. The reason is called concept drift. Here's an informational guide to understanding the concept well.https://www.kdnuggets.com/2022/01/machine-learning-models-die-silence.html
-
KDnuggets™ News 22:n01, Jan 5: 3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master
3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master; What Makes Python An Ideal Programming Language For Startups; Alternative Feature Selection Methods in Machine Learning; Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Modelhttps://www.kdnuggets.com/2022/n01.html
-
Why are More Developers Using Python for Their Machine Learning Projects?
To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in.https://www.kdnuggets.com/2022/01/developers-python-machine-learning-projects.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
-
Top Posts Dec 20 – Jan 2: 3 Tools to Track and Visualize the Execution of Your Python Code
Also: 6 Predictive Models Every Beginner Data Scientist Should Master; The Best ETL Tools in 2021; Write Clean Python Code Using Pipes; Three R Libraries Every Data Scientist Should Know (Even if You Use Python)https://www.kdnuggets.com/2022/01/top-news-week-1220-0102.html
-
Hands-on Reinforcement Learning Course Part 3: SARSA
This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO . Today we will learn about SARSA, a powerful RL algorithm.https://www.kdnuggets.com/2022/01/handson-reinforcement-learning-course-part-3-sarsa.html
-
What Makes Python An Ideal Programming Language For Startups">What Makes Python An Ideal Programming Language For Startups
In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.https://www.kdnuggets.com/2021/12/makes-python-ideal-programming-language-startups.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
-
4 Reasons Why You Shouldn’t Use Machine Learning
It's time to learn: machine learning is not a Swiss Army knife.https://www.kdnuggets.com/2021/12/4-reasons-shouldnt-machine-learning.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
-
Hands-On Reinforcement Learning Course, Part 2
Continue your learning journey in Reinforcement Learning with this second of two part tutorial that covers the foundations of the technique with examples and Python code.https://www.kdnuggets.com/2021/12/hands-on-reinforcement-learning-part-2.html
-
The Easiest Way to Make Beautiful Interactive Visualizations With Pandas
Check out these one-liner interactive visualization with Pandas in Python.https://www.kdnuggets.com/2021/12/easiest-way-make-beautiful-interactive-visualizations-pandas.html
-
Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model
Review this detailed tutorial with code and revisit the decades-long old problem using a democratized and interpretable AI framework of how precisely can we anticipate the future and understand its causal factors?https://www.kdnuggets.com/2021/12/sota-explainable-forecasting-and-nowcasting.html
-
Versioning Machine Learning Experiments vs Tracking Them
Learn how to improve ML reproducibility by treating experiments as code.https://www.kdnuggets.com/2021/12/versioning-machine-learning-experiments-tracking.html
-
Tips & Tricks of Deploying Deep Learning Webapp on Heroku Cloud
Learn model deployment issues and solutions on deploying a TensorFlow-based image classifier Streamlit app on a Heroku server.https://www.kdnuggets.com/2021/12/tips-tricks-deploying-dl-webapps-heroku.html
-
Alternative Feature Selection Methods in Machine Learning
Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score.https://www.kdnuggets.com/2021/12/alternative-feature-selection-methods-machine-learning.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
-
Hands-On Reinforcement Learning Course, Part 1
Start your learning journey in Reinforcement Learning with this first of two part tutorial that covers the foundations of the technique with examples and Python code.https://www.kdnuggets.com/2021/12/hands-on-reinforcement-learning-course-part-1.html
-
Machine learning does not produce value for my business. Why?
What is going on when machine learning can't make the jump from testing to production, and so doesn't add any business value?https://www.kdnuggets.com/2021/12/machine-learning-produce-value-business.html
-
KDnuggets™ News 21:n48, Dec 22: Write Clean Python Code Using Pipes; 5 Key Skills Needed To Become a Great Data Scientist
Write Clean Python Code Using Pipes; 5 Key Skills Needed To Become a Great Data Scientist; A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment; The 5 Characteristics of a Successful Data Scientist; Top Resources for Learning Statistics for Data Sciencehttps://www.kdnuggets.com/2021/n48.html
-
The Best ETL Tools in 2021">The Best ETL Tools in 2021
If you have clear, well-defined objectives, it won’t be hard to identify the ETL technology that best meets your needs. Here are some of the best ETL tools you can use in your business.https://www.kdnuggets.com/2021/12/mozart-best-etl-tools-2021.html
-
Federated Learning: Collaborative Machine Learning with a Tutorial on How to Get Started
Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data.https://www.kdnuggets.com/2021/12/federated-learning-collaborative-machine-learning-tutorial-get-started.html
-
Why we will always need humans to train AI — sometimes in real-time
Customizable, real-time data labeling pipelines that can continuously receive and process unlabeled data are necessary to train and perfect the AI that impacts our lives and daily conveniences.https://www.kdnuggets.com/2021/12/why-we-need-humans-training-ai.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
-
A Faster Way to Prepare Time-Series Data with the AI & Analytics Engine
Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI & Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.https://www.kdnuggets.com/2021/12/piexchange-faster-way-prepare-timeseries-data-ai-analytics-engine.html
-
Three R Libraries Every Data Scientist Should Know (Even if You Use Python)">Three R Libraries Every Data Scientist Should Know (Even if You Use Python)
Check out these powerful R libraries built by the world’s biggest tech companies.https://www.kdnuggets.com/2021/12/three-r-libraries-every-data-scientist-know-even-python.html
-
How to Get Into Data Analytics If You Don’t Have the Right Degree
So, is a career in data analytics a good fit for you?https://www.kdnuggets.com/2021/12/how-to-get-into-data-analytics.html
-
How to Speed Up XGBoost Model Training
XGBoost is an open-source implementation of gradient boosting designed for speed and performance. However, even XGBoost training can sometimes be slow. This article will review the advantages and disadvantages of each approach as well as go over how to get started.https://www.kdnuggets.com/2021/12/speed-xgboost-model-training.html
-
The 5 Characteristics of a Successful Data Scientist">The 5 Characteristics of a Successful Data Scientist
I've put some thought into this, and come up with the 5 characteristics of a what I believe define a successful data scientist. Do you agree?https://www.kdnuggets.com/2021/12/5-characteristics-successful-data-scientist.html
-
10 Key AI & Data Analytics Trends for 2022 and Beyond
What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.html
-
Top 2021 Stories: We Don’t Need Data Scientists, We Need Data Engineers; A Guide On How To Become A Data Scientist (Step By Step Approach); How I Tripled My Income With Data Science in 18 Months
Most viewed KDnuggets stories in 2021 focused on Data Scientists vs Data Engineers; How to become a Data Scientist; Increase income with Data Science; Stunning visualizations using python; and more.https://www.kdnuggets.com/2021/12/top-stories-2021.html
-
Top Resources for Learning Statistics for Data Science">Top Resources for Learning Statistics for Data Science
Let’s take a look at the current state of statistics in data science, and what you can do to accelerate your learning.https://www.kdnuggets.com/2021/12/springboard-top-resources-learn-data-science-statistics.html
-
Cloud ML In Perspective: Surprises of 2021, Projections for 2022
Let’s take a closer look on Cloud ML market in 2021 in retrospective (with occasional drills into realities of 2020, too). Read this in-depth analysis.https://www.kdnuggets.com/2021/12/cloud-ml-perspective-surprises-2021-projections-2022.html
-
How I 14Xed my salary in 14 years as a data analytics/science professional
Learn how one data scientist increased their full-time job salary 14 times in 14 years of a career, with highlights on experiencing an IPO, RSUs, start-ups and working at FAANG companies.https://www.kdnuggets.com/2021/12/14x-salary-in-14-years-data-professional.html
-
5 Key Skills Needed To Become a Great Data Scientist">5 Key Skills Needed To Become a Great Data Scientist
Based on 10 years of my experience (learn to build those skills).https://www.kdnuggets.com/2021/12/5-key-skills-needed-become-great-data-scientist.html
-
Write Clean Python Code Using Pipes">Write Clean Python Code Using Pipes
A short and clean approach to processing iterables.https://www.kdnuggets.com/2021/12/write-clean-python-code-pipes.html
-
KDnuggets™ News 21:n47, Dec 15: Building a solid data team; Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science; AI, Analytics, Machine Learning, Data Science Main Developments in 2021 and Key Trends for 2022
In this issue: Building a solid data team; Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science; AI, Analytics, Machine Learning, Data Science, Deep Learning Main Developments in 2021 and Key Trends for 2022 - Research, Technology, and Industry perspectives.https://www.kdnuggets.com/2021/n47.html
-
Software Mistakes and Tradeoffs: New book by Tomasz Lelek and StackOverflow guru Jon Skeet
Flexibility versus maintainability—every decision you make in software engineering involves balancing tradeoffs. Software Mistakes and Tradeoffs is available in early access from its publisher Manning. Pre-order now and start reading immediately as part of the Manning Early Access Program (MEAP).https://www.kdnuggets.com/2021/12/manning-software-mistakes-tradeoffs-book.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
-
12 Tips: From Data Analyst to Startup Co-Founder
Thinking about taking your data science expertise to a new level of creating a start-up company? These tips -- learned from experience -- can help you forge an early path toward success.https://www.kdnuggets.com/2021/12/12-tips-data-analyst-to-co-founder.html
-
Feature Selection: Where Science Meets Art
From heuristic to algorithmic feature selection techniques for data science projects.https://www.kdnuggets.com/2021/12/feature-selection-science-meets-art.html
-
What Is AI Model Governance?
How exactly does AI model governance help tackle these issues? And how can you ensure you’re using it to best fit your needs? Read on.https://www.kdnuggets.com/2021/12/ai-model-governance.html
-
Data Labeling for Machine Learning: Market Overview, Approaches, and Tools
So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.https://www.kdnuggets.com/2021/12/data-labeling-ml-overview-and-tools.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
-
test
https://www.kdnuggets.com/test
-
Introduction to Clustering in Python with PyCaret
A step-by-step, beginner-friendly tutorial for unsupervised clustering tasks in Python using PyCaret.https://www.kdnuggets.com/2021/12/introduction-clustering-python-pycaret.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
-
Inside DeepMind’s New Efforts to Use Deep Learning to Advance Mathematics
Using deep learning techniques can help mathematicians develop intuitions about the toughest problems in the field.https://www.kdnuggets.com/2021/12/inside-deepmind-new-efforts-deep-learning-advance-mathematics.html
-
Deep Neural Networks Don’t Lead Us Towards AGI
Machine learning techniques continue to evolve with increased efficiency for recognition problems. But, they still lack the critical element of intelligence, so we remain a long way from attaining AGI.https://www.kdnuggets.com/2021/12/deep-neural-networks-not-toward-agi.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
-
AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2021 and Key Trends for 2022
2021 has almost come and gone. We saw some standout advancements in AI, Analytics, Machine Learning, Data Science, Deep Learning Research this past year, and the future, starting with 2022, looks bright. As per KDnuggets tradition, our collection of experts have contributed their insights on the matter. Read on to find out more.https://www.kdnuggets.com/2021/12/developments-predictions-ai-machine-learning-data-science-research.html
-
Building a solid data team">Building a solid data team
How do you put together a solid data science team when it comes to developing data-driven products? A variety of roles are available to consider, so which ones do you need and which are most crucial?https://www.kdnuggets.com/2021/12/build-solid-data-team.html
-
How Data Scientists Can Get the Ear of CFOs (And Why You Want It)
Hey, data scientists! Here’s how to bend your CFO’s ear, equip your company with high-quality analysis, and boost your value and career in the process.https://www.kdnuggets.com/2021/12/data-scientists-get-ear-cfos-want.html
-
Advance your data science career to the next level
SAS offers a wide range of hands-on courses for data science professionals to help you get ahead – and stay ahead – in your data science career.https://www.kdnuggets.com/2021/12/sas-advance-data-science-career-next-level.html
-
Introduction to Binary Classification with PyCaret
PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only. See how to use it for binary classification.https://www.kdnuggets.com/2021/12/introduction-binary-classification-pycaret.html
-
A $9B AI Failure, Examined">A $9B AI Failure, Examined
What happened at Zillow? An important real-world lesson in... just because you have a cool AI tool, doesn't mean that alone becomes your business model.https://www.kdnuggets.com/2021/12/9b-ai-failure-examined.html
-
Using Datawig, an AWS Deep Learning Library for Missing Value Imputation
A lot of missing values in the dataset can affect the quality of prediction in the long run. Several methods can be used to fill the missing values and Datawig is one of the most efficient ones.https://www.kdnuggets.com/2021/12/datawig-aws-deep-learning-library-missing-value-imputation.html
-
10 Simple Things to Try Before Neural Networks
Below are 10 simple things you should remember to try first before throwing in the towel and jumping straight to neural networks.https://www.kdnuggets.com/2021/12/10-simple-things-try-neural-networks.html
-
What Does a Data Scientist Do?
This guide provides you with the best possible, most direct, and clear answers to "What is data science?" and "What does a data scientist do?".https://www.kdnuggets.com/2021/12/what-does-a-data-scientist-do.html
-
A Beginner’s Guide to End to End Machine Learning
Learn to train, tune, deploy and monitor machine learning models.https://www.kdnuggets.com/2021/12/beginner-guide-end-end-machine-learning.html
-
How to Get Certified as a Data Scientist">How to Get Certified as a Data Scientist
If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.https://www.kdnuggets.com/2021/12/get-certified-data-science.html
-
Using PyCaret’s New Time Series Module
PyCaret’s new time series module is now available in beta. Staying true to the simplicity of PyCaret, it is consistent with the existing API and comes with a lot of functionalities.https://www.kdnuggets.com/2021/12/pycaret-new-time-series-module.html
-
Avoid These Mistakes with Time Series Forecasting
A few checks to make before training a Machine Learning model on data that could be random.https://www.kdnuggets.com/2021/12/avoid-mistakes-time-series-forecasting.html
-
2021: A Year Full of Amazing AI papers — A Review
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.https://www.kdnuggets.com/2021/12/2021-year-review-amazing-ai-papers.html
-
How to Use Permutation Tests
A walkthrough of permutation tests and how they can be applied to time series data.https://www.kdnuggets.com/2021/12/use-permutation-tests.html
-
The Seven Best ELT Tools for Data Warehouses
ELT helps to streamline the process of modern data warehousing and managing a business’ data. In this post, we’ll discuss some of the best ELT tools to help you clean and transfer important data to your data warehouse.https://www.kdnuggets.com/2021/12/mozart-seven-best-elt-tools-data-warehouses.html
-
5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022">5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022
This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.https://www.kdnuggets.com/2021/12/5-practical-data-science-projects.html
-
Movie Recommendations with Spark Collaborative Filtering
Not sure what movie to watch? Ask your recommender system.https://www.kdnuggets.com/2021/12/movie-recommendations-spark-collaborative-filtering.html
-
KDnuggets™ News 21:n45, Dec 1: Most Common SQL Mistakes on Data Science Interviews; Why Machine Learning Engineers are Replacing Data Scientists
Most Common SQL Mistakes on Data Science Interviews; Why Machine Learning Engineers are Replacing Data Scientists; Vote in new KDnuggets Poll: What Percentage of Your Machine Learning Models Have Been Deployed? KDnuggets: Personal History and Nuggets of Experience.https://www.kdnuggets.com/2021/n45.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
-
KDnuggets: Personal History and Nuggets of Experience
After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience I learned along this amazing journey.https://www.kdnuggets.com/2021/11/kdnuggets-history.html
-
Clustering in Crowdsourcing: Methodology and Applications
As a result of the efforts outlined in this article, we confirmed that clustering through crowdsourcing is indeed possible and works impressively well.https://www.kdnuggets.com/2021/11/clustering-crowdsourcing-methodology-applications.html
-
Building Massively Scalable Machine Learning Pipelines with Microsoft Synapse ML
The new platform provides a single API to abstract dozens of ML frameworks and databases.https://www.kdnuggets.com/2021/11/building-massively-scalable-machine-learning-pipelines-microsoft-synapse-ml.html
-
New Poll: What Percentage of Your Machine Learning Models Have Been Deployed?
Take a moment to participate in the latest KDnuggets poll and let the community know what percentage of your machine learning models have been deployed.https://www.kdnuggets.com/2021/11/percentage-machine-learning-models-deployed.html
-
Why Machine Learning Engineers are Replacing Data Scientists">Why Machine Learning Engineers are Replacing Data Scientists
The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.https://www.kdnuggets.com/2021/11/why-machine-learning-engineers-are-replacing-data-scientists.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
-
How to Build a Knowledge Graph with Neo4J and Transformers
Learn to use custom Named Entity Recognition and Relation Extraction models.https://www.kdnuggets.com/2021/11/build-knowledge-graph-neo4j-transformers.html
-
A Spreadsheet that Generates Python: The Mito JupyterLab Extension
You can call Mito into your Jupyter Environment and each edit you make will generate the equivalent Python in the code cell below.https://www.kdnuggets.com/2021/11/spreadsheet-generates-python-mito-jupyterlab-extension.html
-
Cartoon: Data Science for Thanksgiving
A classic KDnuggets Thanksgiving cartoon examines the predicament of one group of fowl Data Scientists.https://www.kdnuggets.com/2021/11/cartoon-data-science-thanksgiving.html
-
What’s the difference between a Data Scientist and a Data Analyst?
Find out the major differences between a Data Analyst and a Data Scientist, and read the author's pointers on what they would recommend you to do if you wish to make that transition from Data Analyst to Data Scientist.https://www.kdnuggets.com/2021/11/difference-data-scientist-data-analyst.html
-
Can You Become a Data Scientist Online?
Until November 29th, you can join over 1.5 million students around the globe and gain the skills of successful data science professionals with unlimited annual access to the 365 Data Science Program at 72% OFF. Read on to learn more!https://www.kdnuggets.com/2021/11/365datascience-become-data-scientist-online.html
-
Accelerating AI with MLOps
Companies are racing to use AI, but despite its vast potential, most AI projects fail. Examining and resolving operational issues upfront can help AI initiatives reach their full potential.https://www.kdnuggets.com/2021/11/accelerating-ai-mlops.html
-
Most Common SQL Mistakes on Data Science Interviews">Most Common SQL Mistakes on Data Science Interviews
Sure, we all make mistakes -- which can be a bit more painful when we are trying to get hired -- so check out these typical errors applicants make while answering SQL questions during data science interviews.https://www.kdnuggets.com/2021/11/common-sql-mistakes-data-science-interviews.html
-
5 Advanced Tips on Python Sequences
Notes from Fluent Python by Luciano Ramalho.https://www.kdnuggets.com/2021/11/5-advanced-tips-python-sequences.html
-
5 Tips to Get Your First Data Scientist Job
Read some of the key things the author has learned during the infamous job seeking stage.https://www.kdnuggets.com/2021/11/5-tips-first-data-scientist-job.html
-
On-Device Deep Learning: PyTorch Mobile and TensorFlow Lite
PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.https://www.kdnuggets.com/2021/11/on-device-deep-learning-pytorch-mobile-tensorflow-lite.html
-
Dask DataFrame is not Pandas
This article is the second article of an ongoing series on using Dask in practice. Each article in this series will be simple enough for beginners, but provide useful tips for real work. The next article in the series is about parallelizing for loops, and other embarrassingly parallel operations with dask.delayed.https://www.kdnuggets.com/2021/11/dask-dataframe-not-pandas.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
-
Stop Blaming Humans for Bias in AI
Can artificial intelligence be rid of bias? This is an important question, and it’s equally important that we look in the right place for the answer.https://www.kdnuggets.com/2021/11/stop-blaming-humans-bias-ai.html
-
Difference between distributed learning versus federated learning algorithms
Want to know the difference between distributed and federated learning? Read this article to find out.https://www.kdnuggets.com/2021/11/difference-distributed-learning-federated-learning-algorithms.html
-
eBook: 101 Ways to Use Third-Party Data to Make Smarter Decisions
To guide you in becoming a data-driven organization, AWS Data Exchange has created a new eBook, 101 Ways to Use Third-Party Data to Make Smarter Decisions. Learn how to transform the ‘currency’ of data into actionable business insights.https://www.kdnuggets.com/2021/11/roidna-ebook-101-ways-third-party-data-smarter-decisions.html
-
Build a Serverless News Data Pipeline using ML on AWS Cloud
This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.https://www.kdnuggets.com/2021/11/build-serverless-news-data-pipeline-ml-aws-cloud.html
-
Where NLP is heading">Where NLP is heading
Natural language processing research and applications are moving forward rapidly. Several trends have emerged on this progress, and point to a future of more exciting possibilities and interesting opportunities in the field.https://www.kdnuggets.com/2021/11/where-nlp-is-heading.html
-
Data Scientists: How to Sell Your Project and Yourself
Follow this formula for the perfect elevator pitch.https://www.kdnuggets.com/2021/11/data-scientists-sell-project.html
-
AI meets BI: Key capabilities to look for in a modern BI platform
With the customer at its heart, modern augmented BI platforms no longer require scripting/coding skills or the knowledge to build the back-end data models, empowering even laymen to harness the power of raw data. As a user, here are the top AI capabilities that you need to look for in BI software.https://www.kdnuggets.com/2021/11/zoho-ai-meets-bi-key-capabilities-platform.html