Search results for Data Science
-
Data Science History and Overview
In this era of big data that is only getting bigger, a huge amount of information from different fields is gathered and stored. Its analysis and extraction of value have become one of the most attractive tasks for companies and society in general, which is harnessed by the new professional role of the Data Scientist.https://www.kdnuggets.com/2020/11/data-science-history-overview.html
-
Essential Math for Data Science: Integrals And Area Under The Curve
In this article, you’ll learn about integrals and the area under the curve using the practical data science example of the area under the ROC curve used to compare the performances of two machine learning models.https://www.kdnuggets.com/2020/11/essential-math-data-science-integrals-area-under-curve.html
-
Top 6 Data Science Programs for Beginners
Udacity has the best industry-leading programs in data science. Here are the top six data science courses for beginners to help you get started.https://www.kdnuggets.com/2020/11/udacity-data-science-programs-beginners.html
-
Is Data Science for Me? 14 Self-examination Questions to Consider">Is Data Science for Me? 14 Self-examination Questions to Consider
You are intrigued by this exciting new field of Data Science, and you think you want in on the action. The demand remains very high and the salaries are strong. Before taking the leap onto this path, these questions will help you evaluate if you are ready for the challenges and opportunities.https://www.kdnuggets.com/2020/11/data-science-14-self-examination-questions.html
-
How to Get Into Data Science Without a Degree">How to Get Into Data Science Without a Degree
Breaking into any new field or slogging through a career change is always a challenge, and requires focus and even a little grit. While transitioning to becoming a Data Scientist is no different, aspiring to this role is possible, even without a formal post-secondary degree, largely due to the vast amount of quality learning resources available today.https://www.kdnuggets.com/2020/11/data-science-without-degree.html
-
How to Acquire the Most Wanted Data Science Skills">How to Acquire the Most Wanted Data Science Skills
We recently surveyed KDnuggets readers to determine the "most wanted" data science skills. Since they seem to be those most in demand from practitioners, here is a collection of resources for getting started with this learning.https://www.kdnuggets.com/2020/11/acquire-most-wanted-data-science-skills.html
-
Learn to build an end to end data science project">Learn to build an end to end data science project
Appreciating the process you must work through for any Data Science project is valuable before you land your first job in this field. With a well-honed strategy, such as the one outlined in this example project, you will remain productive and consistently deliver valuable machine learning models.https://www.kdnuggets.com/2020/11/build-data-science-project.html
-
Moving from Data Science to Machine Learning Engineering
The world of machine learning — and software — is changing. Read this article to find out how, and what you can do to stay ahead of it.https://www.kdnuggets.com/2020/11/moving-data-science-machine-learning-engineering.html
-
5 Reasons Why Containers Will Rule Data Science
Historically, containers were a way to abstract a software stack away from the operating system. For data scientists, containers have historically offered few benefits.https://www.kdnuggets.com/2020/11/gigantum-containers-will-rule-data-science.html
-
My Data Science Online Learning Journey on Coursera
Check out the author's informative list of courses and specializations on Coursera taken to get started on their data science and machine learning journey.https://www.kdnuggets.com/2020/11/data-science-online-learning-journey-coursera.html
-
Pandas on Steroids: End to End Data Science in Python with Dask">Pandas on Steroids: End to End Data Science in Python with Dask
End to end parallelized data science from reading big data to data manipulation to visualisation to machine learning.https://www.kdnuggets.com/2020/11/pandas-steroids-dask-python-data-science.html
-
Essential data science skills that no one talks about">Essential data science skills that no one talks about
Old fashioned engineering skills are what you need to boost your data science career.https://www.kdnuggets.com/2020/11/essential-data-science-skills-no-one-talks-about.html
-
The Best Data Science Certification You’ve Never Heard Of">The Best Data Science Certification You’ve Never Heard Of
The CDMP is the best data strategy certification you’ve never heard of. (And honestly, when you consider the fact that you’re probably working a job that didn’t exist ten years ago, it’s not surprising that this certification isn’t widespread just yet.)https://www.kdnuggets.com/2020/11/best-data-science-certification-never-heard.html
-
KDnuggets™ News 20:n42, Nov 4: Top Python Libraries for Data Science, Data Visualization & Machine Learning; Mastering Time Series Analysis
Top Python Libraries for Data Science, Data Visualization, Machine Learning; Mastering Time Series Analysis with Help From the Experts; Explaining the Explainable AI: A 2-Stage Approach; The Missing Teams For Data Scientists; and more.https://www.kdnuggets.com/2020/n42.html
-
Getting A Data Science Job is Harder Than Ever – How to turn that to your advantage
Although many aspiring Data Scientists are finding it is becoming more difficult to land a job than it was in previous years, understanding what has changed in the hiring landscape can be used to to your advantage in matching with the best organization for your goals and interests.https://www.kdnuggets.com/2020/10/getting-data-science-job-harder.html
-
5 Must-Read Data Science Papers (and How to Use Them)
Keeping ahead of the latest developments in a field is key to advancing your skills and your career. Five foundational ideas from recent data science papers are highlighted here with tips on how to leverage these advancements in your work, and keep you on top of the machine learning game.https://www.kdnuggets.com/2020/10/5-must-read-data-science-papers.html
-
Data Science in the Cloud with Dask
Scaling large data analyses for data science and machine learning is growing in importance. Dask and Coiled are making it easy and fast for folks to do just that. Read on to find out how.https://www.kdnuggets.com/2020/10/data-science-cloud-dask.html
-
How to ace the data science coding challenge">How to ace the data science coding challenge
Preparing to interview for a Data Scientist position takes preparation and practice, and then it could all boil down to a final review of your skills. Based on personal experience, these tips on how to approach such a review will help you excel in the coding challenge project for your next interview.https://www.kdnuggets.com/2020/10/ace-data-science-coding-challenge.html
-
Free From MIT: Intro to Computational Thinking and Data Science">Free From MIT: Intro to Computational Thinking and Data Science
This free course from MIT will help in your transition to thinking computationally, and ultimately solving complex data science problems.https://www.kdnuggets.com/2020/10/free-mit-intro-computational-thinking-data-science-python.html
-
Goodhart’s Law for Data Science and what happens when a measure becomes a target?">Goodhart’s Law for Data Science and what happens when a measure becomes a target?
When developing analytics and algorithms to better understand a business target, unintended biases can sneak in that ensure desired outcomes are obtained. Guiding your work with multiple metrics in mind can help avoid such consequences of Goodhart's Law.https://www.kdnuggets.com/2020/10/goodharts-law-data-science-measure-target.html
-
Top September Stories: Free From MIT: Intro to Computer Science and Programming in Python; Best Online MS in AI, Analytics, Data Science, Machine Learning
Also: Introduction to Time Series Analysis in Python; Automating Every Aspect of Your Python Projecthttps://www.kdnuggets.com/2020/10/top-stories-2020-sep.html
-
Software Engineering Tips and Best Practices for Data Science">Software Engineering Tips and Best Practices for Data Science
Bringing your work as a Data Scientist into the real-world means transforming your experiments, test, and detailed analysis into great code that can be deployed as efficient and effective software solutions. You must learn how to enable your machine learning algorithms to integrate with IT systems by taking them out of your notebooks and delivering them to the business by following software engineering standards.https://www.kdnuggets.com/2020/10/software-engineering-best-practices-data-science.html
-
A step-by-step guide for creating an authentic data science portfolio project">A step-by-step guide for creating an authentic data science portfolio project
Especially if you are starting out launching yourself as a Data Scientist, you will want to first demonstrate your skills through interesting data science project ideas that you can implement and share. This step-by-step guide shows you how to do go through this process, with an original example that explores Germany’s biggest frequent flyer forum, Vielfliegertreff.https://www.kdnuggets.com/2020/10/guide-authentic-data-science-portfolio-project.html
-
Understanding Transformers, the Data Science Way
Read this accessible and conversational article about understanding transformers, the data science way — by asking a lot of questions that is.https://www.kdnuggets.com/2020/10/understanding-transformers-data-science-way.html
-
The Best Free Data Science eBooks: 2020 Update">The Best Free Data Science eBooks: 2020 Update
The author has updated their list of best free data science books for 2020. Read on to see what books you should grab.https://www.kdnuggets.com/2020/09/best-free-data-science-ebooks-2020-update.html
-
International alternatives to Kaggle for Data Science / Machine Learning competitions
While Kaggle might be the most well-known, go-to data science competition platform to test your skills at model building and performance, additional regional platforms are available around the world that offer even more opportunities to learn... and win.https://www.kdnuggets.com/2020/09/international-alternatives-kaggle-data-science-competitions.html
-
Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities">Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities
We present the online courses and certificates in AI, Data Science, Machine Learning, and related topics from the top 20 universities in the world.https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.html
-
The Maslow’s hierarchy your data science team needs
Domino Data Lab was announced as a leader for the second year in a row in the recently released “Forrester Wave™: Notebook-based Predictive Analytics and Machine Learning (PAML), Q3 2020” analyst report. True to our data science roots, we’ve built a Maslow’s hierarchy of data science team needs.https://www.kdnuggets.com/2020/09/domino-leader-forrester-paml-data-science-team.html
-
Top August Stories: Know What Employers are Expecting for a Data Scientist Role in 2020; If I had to start learning Data Science again, how would I do it?
Also: Netflix's Polynote is a New Open Source Framework to Build Better Data Science Notebooks; Must-read NLP and Deep Learning articles for Data Scientists.https://www.kdnuggets.com/2020/09/top-stories-2020-aug.html
-
6 Common Mistakes in Data Science and How To Avoid Them
As a novice or seasoned Data Scientist, your work depends on the data, which is rarely perfect. Properly handling the typical issues with data quality and completeness is crucial, and we review how to avoid six of these common scenarios.https://www.kdnuggets.com/2020/09/6-common-data-science-mistakes.html
-
4 Tools to Speed Up Your Data Science Writing
This article covers how you can achieve your writing goals with these 4 tools.https://www.kdnuggets.com/2020/09/4-tools-speed-up-data-science-writing.html
-
KDnuggets™ News 20:n34, Sep 9: Top Online Data Science Masters Degrees; Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills
Also: Creating Powerful Animated Visualizations in Tableau; PyCaret 2.1 is here: What's new?; How To Decide What Data Skills To Learn; How to Evaluate the Performance of Your Machine Learning Modelhttps://www.kdnuggets.com/2020/n34.html
-
Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills">Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills
We analyze the results of the Data Science Skills poll, including 8 categories of skills, 13 core skills that over 50% of respondents have, the emerging/hot skills that data scientists want to learn, and what is the top skill that Data Scientists want to learn.https://www.kdnuggets.com/2020/09/modern-data-science-skills.html
-
Top Stories, Aug 31 – Sep 6: Top Online Masters in Analytics, Business Analytics, Data Science – Updated
Also: How to Evaluate the Performance of Your Machine Learning Model; Which methods should be used for solving linear regression?; A Curious Theory About the Consciousness Debate in AI; If I had to start learning Data Science again, how would I do it?; PyCaret 2.1 is here: Whats new?https://www.kdnuggets.com/2020/09/top-news-week-0831-0906.html
-
9 Developing Data Science & Analytics Job Trends
With so much disruption in 2020 already, a recent report by Burtch Works looks ahead to next year and beyond, and shares insights about how today's hiring market trends may impact our work lives for years to come.https://www.kdnuggets.com/2020/09/data-science-analytics-job-trends.html
-
Design of Experiments in Data Science
Read this overview of the process of designing experiments for collecting data.https://www.kdnuggets.com/2020/09/design-experiments-data-science.html
-
Top Online Masters in Analytics, Business Analytics, Data Science – Updated">Top Online Masters in Analytics, Business Analytics, Data Science – Updated
We provide an updated list of best online Masters in AI, Analytics, and Data Science, including rankings, tuition, and duration of the education program.https://www.kdnuggets.com/2020/09/best-online-masters-data-science-analytics-online.html
-
How Data Science Is Keeping People Safe During COVID-19
Data, and more importantly, the way people use it, is shaping and refining approaches to COVID-19 safety. Here's a closer look at how this is happening.https://www.kdnuggets.com/2020/08/data-science-keeping-people-safe-covid-19.html
-
Data Science Tools Illustrated Study Guides
These data science tools illustrated guides are broken up into four distinct categories: data retrieval, data manipulation, data visualization, and engineering tips. Both online and PDF versions of these guides are available.https://www.kdnuggets.com/2020/08/data-science-tools-illustrated-study-guides.html
-
Data Science Meets Devops: MLOps with Jupyter, Git, and Kubernetes
An end-to-end example of deploying a machine learning product using Jupyter, Papermill, Tekton, GitOps and Kubeflow.https://www.kdnuggets.com/2020/08/data-science-meets-devops-mlops-jupyter-git-kubernetes.html
-
These Data Science Skills will be your Superpower">These Data Science Skills will be your Superpower
Learning data science means learning the hard skills of statistics, programming, and machine learning. To complete your training, a broader set of soft skills will round out your capabilities as an effective and successful professional Data Scientist.https://www.kdnuggets.com/2020/08/data-science-skills-superpower.html
-
KDD-2020 (virtual), the leading conference on Data Science and Knowledge Discovery, Aug 23-27 – register now
Using an interactive VR platform, KDD-2020 brings you the latest research in AI, Data Science, Deep Learning, and Machine Learning with tutorials to improve your skills, keynotes from top experts, workshops on state-of-the-art topics and over 200 research presentations.https://www.kdnuggets.com/2020/08/kdd-2020-virtual-august.html
-
The List of Top 10 Lists in Data Science">The List of Top 10 Lists in Data Science
The list of Top 10 lists that Data Scientists -- from enthusiasts to those who want to jump start a career -- must know to smoothly navigate a path through this field.https://www.kdnuggets.com/2020/08/top-10-lists-data-science.html
-
Going Beyond Superficial: Data Science MOOCs with Substance">Going Beyond Superficial: Data Science MOOCs with Substance
Data science MOOCs are superficial. At least, a lot of them are. What are your options when looking for something more substantive?https://www.kdnuggets.com/2020/08/beyond-superficial-data-science-moocs-substance.html
-
Introduction to Statistics for Data Science
Statistics is foundational for Data Science and a crucial skill to master for any practitioner. This advanced introduction reviews with examples the fundamental concepts of inferential statistics by illustrating the differences between Point Estimators and Confidence Intervals Estimates.https://www.kdnuggets.com/2020/08/introduction-statistics-data-science.html
-
KDnuggets™ News 20:n31, Aug 12: Data Science Skills: Have vs Want: Vote in the New Poll; Netflix Polynote is a New Open Source Framework to Build Better Data Science Notebooks
Vote in the new KDnuggets poll: which data science skills you have and which ones you want? Netflix is not only for movies - its Polynote is a new open source framework to build better data science notebooks; Learn about containerization of PySpark using Kubernetes; Read the findings from Data Scientist Job Market 2020 analysis; and Explore GPT-3 latest.https://www.kdnuggets.com/2020/n31.html
-
Data Science Internship Interview Questions
Data science is an attractive field because not only is it lucrative, but you can have opportunities to work on interesting projects, and you’re always learning new things. If you're trying to get started from the ground up, then review this guide to prepare for the interview essentials.https://www.kdnuggets.com/2020/08/data-science-internship-interview-questions.html
-
The Uncommon Data Science Job Guide
With the job landscape in Data Science becoming hyper-competitive, there are clear strategies you can consider to find your way to snagging a position in the field.https://www.kdnuggets.com/2020/08/data-science-job-guide.html
-
Essential Data Science Tips: How to Use One-Vs-Rest and One-Vs-One for Multi-Class Classification
Classification, as a predictive model, involves aligning each class label to examples. Algorithms designed for binary classification cannot be applied to multi-class classification problems. For such situations, heuristic methods come in handy.https://www.kdnuggets.com/2020/08/one-vs-rest-one-multi-class-classification.html
-
New Poll: Which Data Science Skills You Have and Which Ones You Want? Vote Now">New Poll: Which Data Science Skills You Have and Which Ones You Want? Vote Now
Take part in the latest KDnuggets poll, and share your insights with the community. Which Data Science skills do you currently possess, and which are you looking forward to add or improve upon? Vote now!https://www.kdnuggets.com/2020/08/core-hot-data-science-skills-poll.html
-
Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks">Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks
The new notebook environment provides substantial improvements to streamline experimentation in machine learning workflows.https://www.kdnuggets.com/2020/08/netflix-polynote-open-source-framework-better-data-science-notebooks.html
-
5 Apache Spark Best Practices For Data Science
Check out these best practices for Spark that the author wishes they knew before starting their project.https://www.kdnuggets.com/2020/08/5-spark-best-practices-data-science.html
-
First Steps of a Data Science Project">First Steps of a Data Science Project
Many data science projects are launched with good intentions, but fail to deliver because the correct process is not understood. To achieve good performance and results in this work, the first steps must include clearly defining goals and outcomes, collecting data, and preparing and exploring the data. This is all about solving problems, which requires a systematic process.https://www.kdnuggets.com/2020/07/first-steps-data-science-project.html
-
Data Science MOOCs are too Superficial">Data Science MOOCs are too Superficial
Most massive open online courses are too superficial because they offer introductory-level courses. For in-depth knowledge, more is needed to increase your knowledge and expertise after establishing a foundation.https://www.kdnuggets.com/2020/07/data-science-moocs-superficial.html
-
Foundations of Data Science: The Free eBook
As has become tradition on KDnuggets, let's start a new week with a new eBook. This time we check out a survey style text with a variety of topics, Foundations of Data Science.https://www.kdnuggets.com/2020/07/foundations-data-science-free-ebook.html
-
A Layman’s Guide to Data Science. Part 3: Data Science Workflow">A Layman’s Guide to Data Science. Part 3: Data Science Workflow
Learn and appreciate the typical workflow for a data science project, including data preparation (extraction, cleaning, and understanding), analysis (modeling), reflection (finding new paths), and communication of the results to others.https://www.kdnuggets.com/2020/07/laymans-guide-data-science-workflow.html
-
Data Cleaning: The secret ingredient to the success of any Data Science Project
With an uncleaned dataset, no matter what type of algorithm you try, you will never get accurate results. That is why data scientists spend a considerable amount of time on data cleaning.https://www.kdnuggets.com/2020/07/data-cleaning-secret-ingredient-success-data-science-project.html
-
Data Science Tools Popularity, animated
Watch the evolution of the top 10 most popular data science tools based on KDnuggets software polls from 2000 to 2019.https://www.kdnuggets.com/2020/06/data-science-tools-popularity-animated.html
-
Lynx Analytics is open-sourcing LynxKite, its Complete Graph Data Science Platform
Check out this article for a brief summary on what LynxKite is, where it is coming from and how it can help with your data science projects.https://www.kdnuggets.com/2020/06/open-source-lynxkite-graph-data-science-platform.html
-
Machine Learning Engineer vs Data Scientist (Is Data Science Over?)
What has been happening to the definition of Data Scientist over the past 5 years? Does it still exist or has it morphed into a new version of its old self? Learn more about the recent trends in job descriptions and salaries for data scientists, ML engineers, and others to best understand the best fit for your career trajectory and interests.https://www.kdnuggets.com/2020/06/machine-learning-engineer-vs-data-scientist.html
-
KDnuggets™ News 20:n25, Jun 24: PyTorch Fundamentals You Should Know; Free Math Courses to Boost Your Data Science Skills
A Classification Project in Machine Learning: a gentle step-by-step guide; Crop Disease Detection Using Machine Learning and Computer Vision; Bias in AI: A Primer; Machine Learning in Dask; How to Deal with Missing Values in Your Datasethttps://www.kdnuggets.com/2020/n25.html
-
4 Free Math Courses to do and Level up your Data Science Skills">4 Free Math Courses to do and Level up your Data Science Skills
Just as there is no Data Science without data, there's no science in data without mathematics. Strengthening your foundational skills in math will level you up as a data scientist that will enable you to perform with greater expertise.https://www.kdnuggets.com/2020/06/4-free-maths-courses.html
-
Five Cognitive Biases In Data Science (And how to avoid them)">Five Cognitive Biases In Data Science (And how to avoid them)
Everyone is prey to cognitive biases that skew thinking, but data scientists must prevent them from spoiling their work. Learn more about five biases that can all too easily make your seemingly objective work become surprisingly subjective.https://www.kdnuggets.com/2020/06/five-cognitive-biases-data-science.html
-
Upcoming Webinars and Online Events in AI, Data Science, Machine Learning: June
Here are some interesting upcoming webinar, online events and virtual conferences in in AI, Data Science, and Machine Learning.https://www.kdnuggets.com/2020/06/upcoming-webinars-online-events-june.html
-
3 Key Data Science Questions to Ask Your Big Data
The process of understanding your data begins by asking 3 questions at the highest level, and then iteratively asking hundreds of cascading questions to get deeper insights.https://www.kdnuggets.com/2020/06/3-key-data-science-questions.html
-
Complex logic at breakneck speed: Try Julia for data science
We show a comparative performance benchmarking of Julia with an equivalent Python code to show why Julia is great for data science and machine learning.https://www.kdnuggets.com/2020/05/complex-logic-breakneck-speed-julia-data-science.html
-
Outbreak Analytics: Data Science Strategies for a Novel Problem
You walk down one aisle of the grocery store to get your favorite cereal. On the dairy aisle, someone sick from COVID-19 coughs. Did your decision to grab your cereal before your milk possibly keep you healthy? How can these unpredictable, near-random choices be included in complex models?https://www.kdnuggets.com/2020/04/outbreak-analytics-data-science-novel-problem.html
-
Five Cool Python Libraries for Data Science">Five Cool Python Libraries for Data Science
Check out these 5 cool Python libraries that the author has come across during an NLP project, and which have made their life easier.https://www.kdnuggets.com/2020/04/five-cool-python-libraries-data-science.html
-
Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition">Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition
If you find yourself quarantined and looking for free learning materials in the way of books and courses to sharpen your data science and machine learning skills, this collection of articles I have previously written curating such things is for you.https://www.kdnuggets.com/2020/04/machine-learning-data-science-books-courses-quarantine.html
-
Can Java Be Used for Machine Learning and Data Science?">Can Java Be Used for Machine Learning and Data Science?
While Python and R have become favorites for building these programs, many organizations are turning to Java application development to meet their needs. Read on to see how, and why.https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.html
-
Peer Reviewing Data Science Projects">Peer Reviewing Data Science Projects
In any technical development field, having other practitioners review your work before shipping code off to production is a valuable support tool to make sure your work is error-proof. Even through your preparation for the review, improvements might be discovered and then other issues that escaped your awareness can be spotted by outsiders. This peer scrutiny can also be applied to Data Science, and this article outlines a process that you can experiment with in your team.https://www.kdnuggets.com/2020/04/peer-reviewing-data-science-projects.html
-
Upcoming Webinars and online events in AI, Data Science, Machine Learning
Use the time at home productively and learn something new! We bring you a selection of upcoming interesting webinars and online events on AI, Data Science, Machine Learning, and related topics.https://www.kdnuggets.com/2020/04/upcoming-webinars-online-events.html
-
How Data Science Is Being Used to Understand COVID-19
Read this overview to gain an understanding of how data scientists are working hard to learn as much about COVID-19 as they can.https://www.kdnuggets.com/2020/04/data-science-understand-covid-19.html
-
3 Best Sites to Find Datasets for your Data Science Projects
When first learning data science, you will inevitably find yourself looking for more datasets to practice with. Here, we recommend the 3 best sites to find datasets to spark your next data science project.https://www.kdnuggets.com/2020/04/best-sites-datasets-data-science.html
-
A Layman’s Guide to Data Science. Part 2: How to Build a Data Project
As Part 2 in a Guide to Data Science, we outline the steps to build your first Data Science project, including how to ask good questions to understand the data first, how to prepare the data, how to develop an MVP, reiterate to build a good product, and, finally, present your project.https://www.kdnuggets.com/2020/04/guide-data-science-build-data-project.html
-
365 Data Science courses free until 15 April
Be safe. Stay at home. Learn data science. 365 Data Science is making all of their courses free until Apr 15. Sign up now and learn for free!https://www.kdnuggets.com/2020/03/365datascience-courses-free-until-15-april.html
-
Advice for a Successful Data Science Career
This blog is meant to show that most everyone has had to expend quite a bit of effort to get where they are. They have to work hard, sometimes experience failure, show discipline, be persistent, be dedicated to their goals, and sometimes sacrifice or take risks.https://www.kdnuggets.com/2020/03/advice-successful-data-science-career.html
-
Top KDnuggets tweets, Mar 04-10: 10 Free Must-Read Books for Machine Learning and Data Science
Also: The three phases of #COVID19 – and how we can make it manageable; 50 Must-Read Free Books For Every Data Scientist in 2020; Binary classification is a core machine learning technique, but is there a better way to evaluate its performance than ROC-AUC?https://www.kdnuggets.com/2020/03/top-tweets-mar04-10.html
-
Resources for Women in AI, Data Science, and Machine Learning">Resources for Women in AI, Data Science, and Machine Learning
For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields.https://www.kdnuggets.com/2020/03/resources-women-ai-data-science-machine-learning.html
-
20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)">20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)
We explain important AI, ML, Data Science terms you should know in 2020, including Double Descent, Ethics in AI, Explainability (Explainable AI), Full Stack Data Science, Geospatial, GPT-2, NLG (Natural Language Generation), PyTorch, Reinforcement Learning, and Transformer Architecture.https://www.kdnuggets.com/2020/03/ai-data-science-machine-learning-key-terms-part2.html
-
Topic: Data Science
This page features most recent and most popular posts on Data Science.https://www.kdnuggets.com/topic/data-science
-
Data Science Curriculum for self-study
Are you asking the question, "how do I become a Data Scientist?" This list recommends the best essential topics to gain an introductory understanding for getting started in the field. After learning these basics, keep in mind that doing real data science projects through internships or competitions is crucial to acquiring the core skills necessary for the job.https://www.kdnuggets.com/2020/02/data-science-curriculum-self-study.html
-
Python and R Courses for Data Science">Python and R Courses for Data Science
Since Python and R are a must for today's data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career.https://www.kdnuggets.com/2020/02/python-r-courses-data-science.html
-
Probability Distributions in Data Science">Probability Distributions in Data Science
Some machine learning models are designed to work best under some distribution assumptions. Therefore, knowing with which distributions we are working with can help us to identify which models are best to use.https://www.kdnuggets.com/2020/02/probability-distributions-data-science.html
-
Free Mathematics Courses for Data Science & Machine Learning">Free Mathematics Courses for Data Science & Machine Learning
It's no secret that mathematics is the foundation of data science. Here are a selection of courses to help increase your maths skills to excel in data science, machine learning, and beyond.https://www.kdnuggets.com/2020/02/free-mathematics-courses-data-science-machine-learning.html
-
Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms">Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms
The Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms has the largest number of leaders ever. We examine the leaders and changes and trends vs previous years.https://www.kdnuggets.com/2020/02/gartner-mq-2020-data-science-machine-learning.html
-
20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)">20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)
2020 is well underway, and we bring you 20 AI, data science, and machine learning terms we should all be familiar with as the year marches onward.https://www.kdnuggets.com/2020/02/ai-data-science-machine-learning-key-terms-2020.html
-
How to learn data science on your own: a practical guide
While much focus today is on the rise in working from home and the challenges experienced, not as much is said about learning from home. For those lone wolfs studying Data Science in a self-directed way, a range of issues can get in the way of your goal. Learn about these common problems to prepare to focus yourself all the way to your educational goals.https://www.kdnuggets.com/2020/02/learn-data-science-guide.html
-
The Data Science Puzzle — 2020 Edition">The Data Science Puzzle — 2020 Edition
The data science puzzle is once again re-examined through the relationship between several key concepts of the landscape, incorporating updates and observations since last time. Check out the results here.https://www.kdnuggets.com/2020/02/data-science-puzzle-2020-edition.html
-
Past 2020 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning
Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »https://www.kdnuggets.com/meetings/past-meetings-2020.html
-
Managing Machine Learning Cycles: Five Learnings from comparing Data Science Experimentation/ Collaboration Tools
Machine learning projects require handling different versions of data, source code, hyperparameters, and environment configuration. Numerous tools are on the market for managing this variety, and this review features important lessons learned from an ongoing evaluation of the current landscape.https://www.kdnuggets.com/2020/01/managing-machine-learning-cycles.html
-
The Decade of Data Science
With the last decade being so strong for the emerging field of Data Science, this review considers current trends in the industry, popular frameworks, helpful tools, and new tools that can be leveraged more in the future.https://www.kdnuggets.com/2020/01/decade-data-science.html
-
The Data Science Interview Study Guide
Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.https://www.kdnuggets.com/2020/01/data-science-interview-study-guide.html
-
Top 9 Mobile Apps for Learning and Practicing Data Science">Top 9 Mobile Apps for Learning and Practicing Data Science
This article will tell you about the top 9 mobile apps that help the user in learning and practicing data science and hence is improving their productivity.https://www.kdnuggets.com/2020/01/top-9-mobile-apps-learning-practicing-data-science.html
-
Handling Trees in Data Science Algorithmic Interview
This post is about fast-tracking the study and explanation of tree concepts for the data scientists so that you breeze through the next time you get asked these in an interview.https://www.kdnuggets.com/2020/01/handling-trees-data-science-algorithmic-interview.html
-
7 Steps to a Job-winning Data Science Resume
A resume plays a key role in bagging that dream data science job. We break down the nuances of a job-winning data science resume so that you can go ahead and transform your own resume.https://www.kdnuggets.com/2020/01/7-steps-job-winning-data-science-resume.html
-
Top 5 must-have Data Science skills for 2020">Top 5 must-have Data Science skills for 2020
The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.https://www.kdnuggets.com/2020/01/top-5-data-science-skills-2020.html
-
3 common data science career transitions, and how to make them happen
Breaking into a career in Data Science can depend on where you start. See if you fit into one of these three categories of "newbies," and then find out how to make your professional transition into the field.https://www.kdnuggets.com/2020/01/3-common-data-science-career-transitions.html
-
Why Python is One of the Most Preferred Languages for Data Science?
Why do most data scientists love Python? Learn more about how so many well-developed Python packages can help you accomplish your crucial data science tasks.https://www.kdnuggets.com/2020/01/python-preferred-languages-data-science.html
-
How HR Is Using Data Science and Analytics to Close the Gender Gap
The gender gap can extend to the lack of equal representation in certain industries or career paths, and there's an extraordinarily long way to go before people will be on equal footing in the labor market. Human resources professionals can rely on data analytics to make progress.https://www.kdnuggets.com/2020/01/hr-data-science-analytics-gender-gap.html
-
How To “Ultralearn” Data Science: summary, for those in a hurry">How To “Ultralearn” Data Science: summary, for those in a hurry
For those of you in a hurry and interested in ultralearning (which should be all of you), this recap reviews the approach and summarizes its key elements -- focus, optimization, and deep understanding with experimentation -- geared toward learning Data Science.https://www.kdnuggets.com/2019/12/ultralearn-data-science-summary.html
-
How To “Ultralearn” Data Science: deep understanding and experimentation, Part 4
In this fourth and final part of the ultralearning data science series, it's time to take the final steps toward developing a deep understanding of the fundamentals and learning how to experiment -- the two aspects that are the ultimate keys to ultralearning.https://www.kdnuggets.com/2019/12/ultralearn-data-science-deep-understanding-experimentation-part4.html
-
Alternative Cloud Hosted Data Science Environments
Over the years new alternative providers have risen to provided a solitary data science environment hosted on the cloud for data scientist to analyze, host and share their work.https://www.kdnuggets.com/2019/12/alternative-cloud-data-science-environments.html
-
How To “Ultralearn” Data Science: removing distractions and finding focus, Part 2
This second part in a series about how to "ultralearn" data science will guide you through several techniques to remove those distractions -- because your focus needs more focus.https://www.kdnuggets.com/2019/12/ultralearn-data-science-distractions-focus-part2.html
-
How To “Ultralearn” Data Science, Part 1
What is "ultralearning" and how can you follow the strategy to become an expert of data science? Start with this first part in a series that will guide you through this self-motivated methodology to help you efficiently master difficult skills.https://www.kdnuggets.com/2019/12/ultralearn-data-science-part1.html
-
AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020
We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-technology.html
-
The 4 Hottest Trends in Data Science for 2020">The 4 Hottest Trends in Data Science for 2020
The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.https://www.kdnuggets.com/2019/12/4-hottest-trends-data-science-2020.html
-
AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020
As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-research.html
-
Data Science Curriculum Roadmap">Data Science Curriculum Roadmap
What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.https://www.kdnuggets.com/2019/12/data-science-curriculum-roadmap.html
-
A Non-Technical Reading List for Data Science">A Non-Technical Reading List for Data Science
The world still cannot be reduced to numbers on a page because human beings are still the ones making all the decisions. So, the best data scientists understand the numbers and the people. Check out these great data science books that will make you a better data scientist without delving into the technical details.https://www.kdnuggets.com/2019/12/non-technical-reading-list-data-science.html
-
Top 7 Data Science Use Cases in Trust and Security
What are trust and safety? What is the role of trust and security in the modern world? Read this overview of 7 data science application use cases in the realm of trust and security.https://www.kdnuggets.com/2019/12/top-7-data-science-use-cases-trust-security.html
-
Open Source Projects by Google, Uber and Facebook for Data Science and AI">Open Source Projects by Google, Uber and Facebook for Data Science and AI
Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.https://www.kdnuggets.com/2019/11/open-source-projects-google-uber-facebook-data-science-ai.html
-
The Future of Careers in Data Science & Analysis">The Future of Careers in Data Science & Analysis
As the fields of data science and analysis continue to expand, the next crop of bright minds is always needed. Learn more about the nuances of these jobs and find where you can fit in for a rewarding and interesting career.https://www.kdnuggets.com/2019/11/future-careers-data-science-analysis.html
-
Top 8 Data Science Use Cases in Marketing
In this article, we want to highlight some key data science use cases in marketing. Let us concentrate on several instances that present particular interest and managed to prove their efficiency in the course of time.https://www.kdnuggets.com/2019/11/top-8-data-science-use-cases-marketing.html
-
Reproducibility, Replicability, and Data Science
As cornerstones of scientific processes, reproducibility and replicability ensure results can be verified and trusted. These two concepts are also crucial in data science, and as a data scientist, you must follow the same rigor and standards in your projects.https://www.kdnuggets.com/2019/11/reproducibility-replicability-data-science.html
-
The Complete Data Science LinkedIn Profile Guide">The Complete Data Science LinkedIn Profile Guide
With so many Data Scientists showing up on LinkedIn, it's time to make sure your profile is top-notch because your talent is still highly sought after. Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise.https://www.kdnuggets.com/2019/11/data-science-linkedin-profile-guide.html
-
What is Data Science?
Data Science is pitched as a modern and exciting job offering high satisfaction. Does its reality really live up to the hype? Here, we show what it's really like to work as a Data Scientist.https://www.kdnuggets.com/2019/11/what-is-data-science.html
-
Top 7 Things I Learned in my Data Science Masters
Even though I’m still in my studies, here’s a list of the most important things I’ve learned (as of yet).https://www.kdnuggets.com/2019/10/top-7-things-learned-data-science-masters.html
-
KDnuggets™ News 19:n38, Oct 9: The Last SQL Guide for Data Analysis; 4 Quadrants of Data Science Skills and 7 steps for Viral Data Visualization
Read a comprehensive SQL guide for data analysis; Learn how to choose the right clustering algorithm for your data; Find out how to create a viral DataViz using the data from Data Science Skills poll; Enroll in any of 10 Free Top Notch Natural Language Processing Courses; and more.https://www.kdnuggets.com/2019/n38.html
-
The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization">The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization
As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.https://www.kdnuggets.com/2019/10/4-quadrants-data-science-skills-data-visualization.html
-
A European Approach to Master’s Degrees in Data Science">A European Approach to Master’s Degrees in Data Science
Data science education in Europe has been reevaluated and new recommendations are leading the way to the next generation of data science Master's courses to better support and train students.https://www.kdnuggets.com/2019/10/european-approach-masters-data-science.html
-
The Future of Analytics and Data Science">The Future of Analytics and Data Science
Learn about the current and future issues of data science and possible solutions from this interview with IADSS Co-founder, Dr. Usama Fayyad following his keynote speech at ODSC Boston 2019.https://www.kdnuggets.com/2019/09/future-analytics-data-science.html
-
The thin line between data science and data engineering
Today, as companies have finally come to understand the value that data science can bring, more and more emphasis is being placed on the implementation of data science in production systems. And as these implementations have required models that can perform on larger and larger datasets in real-time, an awful lot of data science problems have become engineering problems.https://www.kdnuggets.com/2019/09/thin-line-between-data-science-data-engineering.html
-
Applying Data Science to Cybersecurity Network Attacks & Events
Check out this detailed tutorial on applying data science to the cybersecurity domain, written by an individual with backgrounds in both fields.https://www.kdnuggets.com/2019/09/applying-data-science-cybersecurity-network-attacks-events.html
-
5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python
“I want to learn machine learning and artificial intelligence, where do I start?” Here.https://www.kdnuggets.com/2019/09/5-beginner-friendly-steps-learn-machine-learning-data-science-python.html
-
Which Data Science Skills are core and which are hot/emerging ones?">Which Data Science Skills are core and which are hot/emerging ones?
We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.https://www.kdnuggets.com/2019/09/core-hot-data-science-skills.html
-
Version Control for Data Science: Tracking Machine Learning Models and Datasets
I am a Git god, why do I need another version control system for Machine Learning Projects?https://www.kdnuggets.com/2019/09/version-control-data-science-tracking-machine-learning-models-datasets.html
-
There is No Free Lunch in Data Science">There is No Free Lunch in Data Science
There is no such thing as a free lunch in life or data science. Here, we'll explore some science philosophy and discuss the No Free Lunch theorems to find out what they mean for the field of data science.https://www.kdnuggets.com/2019/09/no-free-lunch-data-science.html
-
Top 10 Data Science Use Cases in Energy and Utilities
In this article, we will consider the most vivid data science use cases in the industry of energy and utilities.https://www.kdnuggets.com/2019/09/top-10-data-science-use-cases-energy-utilities.html
-
Jobs in Data Science, Machine Learning, AI & Analytics
To add a free short entry here for a job related to Data Science, Machine Learning, AI or Analytics, email the following 5 items to Read more »https://www.kdnuggets.com/jobs/index.html