Search results for Probability Statistics

Found 404 documents, 5932 searched:

• KDnuggets News, July 6: 12 Essential Data Science VSCode Extensions; Statistics and Probability for Data Science

  12 Essential VSCode Extensions for Data Science; Statistics and Probability for Data Science; Free Python Crash Course; Linear Machine Learning Algorithms: An Overview; 7 Steps to Mastering Python for Data Science

  https://www.kdnuggets.com/2022/n27.html

• Top Posts June 27 – July 3: Statistics and Probability for Data Science

  Also: Decision Tree Algorithm, Explained; 20 Basic Linux Commands for Data Science Beginners; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know

  https://www.kdnuggets.com/2022/07/top-posts-week-0627-0703.html

• Statistics and Probability for Data Science

  In this article, we discuss the importance of statistics and probability in data science and machine learning.

  https://www.kdnuggets.com/2022/06/statistics-probability-data-science.html

• Basic Statistics in Python: Probability

  At the most basic level, probability seeks to answer the question, "What is the chance of an event happening?" To calculate the chance of an event happening, we also need to consider all the other events that can occur.

  https://www.kdnuggets.com/2018/08/basic-statistics-python-probability.html

• 5 Free Books to Master Statistics for Data Science

  Statistics is a must-have skill for data science. And here are 5 free books that’ll help you learn all the statistics you need as a data professional.

  https://www.kdnuggets.com/5-free-books-to-master-statistics-for-data-science

• 5 Free Courses to Master Statistics for Data Science

  Want to learn statistics for data science? Check out these free courses to learn essential statistics concepts.

  https://www.kdnuggets.com/5-free-courses-to-master-statistics-for-data-science

• Beyond Guesswork: Leveraging Bayesian Statistics for Effective Article Title Selection

  The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

  https://www.kdnuggets.com/beyond-guesswork-leveraging-bayesian-statistics-for-effective-article-title-selection

• Applying Descriptive and Inferential Statistics in Python

  As you progress in your data science journey, here are the elementary statistics you should know.

  https://www.kdnuggets.com/applying-descriptive-and-inferential-statistics-in-python

• Statistics in Data Science: Theory and Overview

  High-level exploration of the role of statistics in data science.

  https://www.kdnuggets.com/statistics-in-data-science-theory-and-overview

• Fundamentals Of Statistics For Data Scientists and Analysts

  Key statistical concepts for your data science or data analysis journey.

  https://www.kdnuggets.com/2023/08/fundamentals-statistics-data-scientists-analysts.html

• Bayesian vs Frequentist Statistics in Data Science

  Is your statistical alignment Bayesian or a Frequentist?

  https://www.kdnuggets.com/2023/05/bayesian-frequentist-statistics-data-science.html

• Practical Statistics for Data Scientists

  Check out these essential statistical concepts for data science.

  https://www.kdnuggets.com/2023/05/practical-statistics-data-scientists.html

• 3 Free Statistics Courses for Data Science

  Statistics is one of the most in-demand data science skills. Master it for free with these online courses.

  https://www.kdnuggets.com/2022/08/3-free-statistics-courses-data-science.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

• The 8 Basic Statistics Concepts for Data Science

  Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.

  https://www.kdnuggets.com/2020/06/8-basic-statistics-concepts.html

• Important Statistics Data Scientists Need to Know

  Several fundamental statistical concepts must be well appreciated by every data scientist -- from the enthusiast to the professional. Here, we provide code snippets in Python to increase understanding to bring you key tools that bring early insight into your data.

  https://www.kdnuggets.com/2021/09/important-statistics-data-scientists.html

• 11 Important Probability Distributions Explained">11 Important Probability Distributions Explained

  There are many distribution functions considered in statistics and machine learning, which can seem daunting to understand at first. Many are actually closely related, and with these intuitive explanations of the most important probability distributions, you can begin to appreciate the observations of data these distributions communicate.

  https://www.kdnuggets.com/2021/07/11-important-probability-distributions-explained.html

• The Inferential Statistics Data Scientists Should Know

  The foundations of Data Science and machine learning algorithms are in mathematics and statistics. To be the best Data Scientists you can be, your skills in statistical understanding should be well-established. The more you appreciate statistics, the better you will understand how machine learning performs its apparent magic.

  https://www.kdnuggets.com/2021/03/statistics-data-scientists-should-know.html

• 5 Free Books to Learn Statistics for Data Science

  Learn all the statistics you need for data science for free.

  https://www.kdnuggets.com/2020/12/5-free-books-learn-statistics-data-science.html

• Essential Math for Data Science: Probability Density and Probability Mass Functions

  In this article, we’ll cover probability mass and probability density function in this sample. You’ll see how to understand and represent these distribution functions and their link with histograms.

  https://www.kdnuggets.com/2020/12/essential-math-data-science-probability-density-probability-mass-functions.html

• Statistics with Julia: The Free eBook">Statistics with Julia: The Free eBook

  This free eBook is a draft copy of the upcoming Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. Interested in learning Julia for data science? This might be the best intro out there.

  https://www.kdnuggets.com/2020/09/statistics-julia-free-ebook.html

• Essential Resources to Learn Bayesian Statistics">Essential Resources to Learn Bayesian Statistics

  If you are interesting in becoming better at statistics and machine learning, then some time should be invested in diving deeper into Bayesian Statistics. While the topic is more advanced, applying these fundamentals to your work will advance your understanding and success as an ML expert.

  https://www.kdnuggets.com/2020/07/essential-resources-learn-bayesian-statistics.html

• Before Probability Distributions

  Why do we use probability distributions, and why do they matter?

  https://www.kdnuggets.com/2020/07/before-probability-distributions.html

• If you had to start statistics all over again, where would you start?">If you had to start statistics all over again, where would you start?

  If you are just diving into learning statistics, then where do you begin? Find insight from those who have tread in these waters before, and see what they might have done differently along their personal journeys in statistics.

  https://www.kdnuggets.com/2020/06/start-statistics-all-over-again.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

• Probability Learning: Naive Bayes

  This post will describe various simplifications of Bayes' Theorem, that make it more practical and applicable to real world problems: these simplifications are known by the name of Naive Bayes. Also, to clarify everything we will see a very illustrative example of how Naive Bayes can be applied for classification.

  https://www.kdnuggets.com/2019/11/probability-learning-naive-bayes.html

• Probability Learning: Maximum Likelihood

  The maths behind Bayes will be better understood if we first cover the theory and maths underlying another fundamental method of probabilistic machine learning: Maximum Likelihood. This post will be dedicated to explaining it.

  https://www.kdnuggets.com/2019/11/probability-learning-maximum-likelihood.html

• Probability Learning: Bayes’ Theorem

  Learn about one of the fundamental theorems of probability with an easy everyday example.

  https://www.kdnuggets.com/2019/10/probability-learning-bayes-theorem.html

• 5 Probability Distributions Every Data Scientist Should Know">5 Probability Distributions Every Data Scientist Should Know

  Having an understanding of probability distributions should be a priority for data scientists. Make sure you know what you should by reviewing this post on the subject.

  https://www.kdnuggets.com/2019/07/5-probability-distributions-every-data-scientist-should-know.html

• 5 Useful Statistics Data Scientists Need to Know"> 5 Useful Statistics Data Scientists Need to Know

  A data scientist should know how to effectively use statistics to gain insights from data. Here are five useful and practical statistical concepts that every data scientist must know.

  https://www.kdnuggets.com/2019/06/statistics-data-scientists-know.html

• Introduction to Statistics for Data Science">Introduction to Statistics for Data Science

  This tutorial helps explain the central limit theorem, covering populations and samples, sampling distribution, intuition, and contains a useful video so you can continue your learning.

  https://www.kdnuggets.com/2018/12/introduction-statistics-data-science.html

• The 5 Basic Statistics Concepts Data Scientists Need to Know">The 5 Basic Statistics Concepts Data Scientists Need to Know

  Today, we’re going to look at 5 basic statistics concepts that data scientists need to know and how they can be applied most effectively!

  https://www.kdnuggets.com/2018/11/5-basic-statistics-concepts-data-scientists-need-know.html

• Basic Statistics in Python: Descriptive Statistics">Basic Statistics in Python: Descriptive Statistics

  This article covers defining statistics, descriptive statistics, measures of central tendency, and measures of spread. This article assumes no prior knowledge of statistics, but does require at least a general knowledge of Python.

  https://www.kdnuggets.com/2018/08/basic-statistics-python-descriptive-statistics.html

• Statistics, Causality, and What Claims are Difficult to Swallow: Judea Pearl debates Kevin Gray

  While KDnuggets takes no side, we present the informative and respectful back and forth as we believe it has value for our readers. We hope that you agree.

  https://www.kdnuggets.com/2018/06/pearl-gray-statistics-causality-claims-difficult-swallow.html

• How Not To Lie With Statistics

  Darrell Huff's classic How to Lie with Statistics is perhaps more relevant than ever. In this short article, I revisit this theme from some different angles.

  https://www.kdnuggets.com/2018/01/how-not-lie-statistics.html

• Vital Statistics You Never Learned… Because They’re Never Taught

  Marketing scientist Kevin Gray asks Professor Frank Harrell about some important things we often get wrong about statistics.

  https://www.kdnuggets.com/2017/08/vital-statistics-never-learned-never-taught.html

• What Statistics Topics are Needed for Excelling at Data Science?

  Here is a list of skills and statistical concepts suggested for excelling at data science, roughly in order of increasing complexity.

  https://www.kdnuggets.com/2016/08/statistics-topics-needed-excelling-data-science.html

• Statistics Software

  commercial | free Analyse-it!, accurate low-cost statistical software for Microsoft Excel. Appricon's Analysis Studio, a statistical analysis and modeling software with advanced logistic regression modeling, Read more »

  https://www.kdnuggets.com/software/statistics.html

• Top 10 Big Ideas in Harvard Statistics 110 Class

  The Big Ideas in Statistics include: Conditioning (the soul of statistics), Random variables and random vectors, Stories, Symmetry, Linearity of expectation, LOTUS, Variance, covariance, and correlation.

  https://www.kdnuggets.com/2013/12/top-10-big-ideas-harvard-statistics-110-class.html

• How to tackle common data cleaning issues in R

  R is a great choice for manipulating, cleaning, summarizing, producing probability statistics, and so on. In addition, it's not going away anytime soon, it is platform independent, so what you create will run almost anywhere, and it has awesome help resources.

  https://www.kdnuggets.com/2018/05/packt-tackle-common-data-cleaning-issues-r.html

• Data Science Programming Languages and When To Use Them

  Read this guide through the most common data science programming languages and when to use them in data science.

  https://www.kdnuggets.com/2022/02/data-science-programming-languages.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

• How to Standout and Safeguard Your Job in the Generative AI Era

  The secret recipe to excel in your career in AI.

  https://www.kdnuggets.com/how-to-standout-and-safeguard-your-job-in-the-generative-ai-era

• 5 Free Courses to Master Math for Data Science

  Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.

  https://www.kdnuggets.com/5-free-courses-to-master-math-for-data-science

• A Collection Of Free Data Science Courses From Harvard, Stanford, MIT, Cornell, and Berkeley

  Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.

  https://www.kdnuggets.com/a-collection-of-free-data-science-courses-from-harvard-stanford-mit-cornell-and-berkeley

• Best Free Resources to Learn Data Analysis and Data Science

  This article introduces six top-notch, free data science resources ideal for aspiring data analysts, data scientists, or anyone aiming to enhance their analytical skills.

  https://www.kdnuggets.com/2024/03/365datascience-best-free-resources-learn-data-analysis-data-science

• Free Data Science Interview Book to Land Your Dream Job

  Are you preparing for your dream data science job but feeling overwhelmed by the vast amount of online resources? Look no further than this free and easily accessible web-based book to help you brush up on your skills and feel confident for your upcoming interview.

  https://www.kdnuggets.com/free-data-science-interview-book-to-land-your-dream-job

• 26 Data Science Interview Questions You Should Know

  Learn about the most common questions asked during data science interviews. This blog covers non-technical, Python, SQL, statistics, data analysis, and machine learning questions.

  https://www.kdnuggets.com/26-data-science-interview-questions-you-should-know

• What I Learned From Using ChatGPT for Data Science

  ChatGPT can be a great tool for data scientists. Here’s what I learned about where it excels and where it is less so.

  https://www.kdnuggets.com/what-i-learned-from-using-chatgpt-for-data-science

• Enroll in a Data Science Undergraduate Program For Free

  Path to a Free Self-Taught Education in Data Science for Everyone.

  https://www.kdnuggets.com/enroll-in-a-data-science-undergraduate-program-for-free

• 25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing

  Discover a collection of best books to start your data career or master a new skill, all for free!

  https://www.kdnuggets.com/25-free-books-to-master-sql-python-data-science-machine-learning-and-natural-language-processing

• KDnuggets News, December 13: 5 Super Cheat Sheets to Master Data Science • Using Google’s NotebookLM for Data Science: A Comprehensive Guide

  This week on KDnuggets: A collection of super cheat sheets that covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning • An exploration of NotebookLM, its functionality, limitations, and advanced features essential for researchers and scientists • And much, much more!

  https://www.kdnuggets.com/newsletter-n45-2023-12-13

• 5 Super Cheat Sheets to Master Data Science

  The collection of super cheat sheets covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning.

  https://www.kdnuggets.com/5-super-cheat-sheets-to-master-data-science

• Talk Directly to Your Data Using Everyday Language

  DataGPT is a conversational AI data analytics software provider that delivers analysis at the speed of business questions. DataGPT empowers anyone, in any company, to talk directly to their data using everyday language, revealing expert answers to complex questions instantly.

  https://www.kdnuggets.com/2023/12/datagpt-talk-directly-data-everyday-language

• KDnuggets News, December 6: GitHub Repositories to Master Machine Learning • 5 Free Courses to Master Data Engineering

  This week on KDnuggets: Discover GitHub repositories from machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job • Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company • And much, much more!

  https://www.kdnuggets.com/newsletter-n44-2023-12-06

• 10 GitHub Repositories to Master Machine Learning

  The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job.

  https://www.kdnuggets.com/10-github-repositories-to-master-machine-learning

• Building Predictive Models: Logistic Regression in Python

  Want to learn how to build predictive models using logistic regression? This tutorial covers logistic regression in depth with theory, math, and code to help you build better models.

  https://www.kdnuggets.com/building-predictive-models-logistic-regression-in-python

• 5 Free Courses to Master Data Science

  Want to break into data science? Start upskilling today with these free courses to learn programming, data analysis, and machine learning.

  https://www.kdnuggets.com/5-free-courses-to-master-data-science

• Top 7 Essential Cheat Sheets To Ace Your Data Science Interview

  The blog covers cheat sheets on SQL, statistics, pandas, data visualization, scikit-learn, Git, and theoretical data science concepts.

  https://www.kdnuggets.com/top-7-essential-cheat-sheets-to-ace-your-data-science-interview

• 5 Free University Courses on Data Analytics

  Thinking about getting into the data analytical world but do not know where to start? Have a look at these 5 FREE university courses on data analytics.

  https://www.kdnuggets.com/5-free-university-courses-on-data-analytics

• 10 Basic Statistical Concepts in Plain English

  Explore 10 foundational statistical concepts made simple, from probability distributions to the central limit theorem, for better data understanding.

  https://www.kdnuggets.com/10-basic-statistical-concepts-in-plain-english

• 5 Free Books to Master Data Science

  Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.

  https://www.kdnuggets.com/5-free-books-to-master-data-science

• Tips for Successfully Navigating Beginner Data Science Job Interviews

  Data science beginners, here are nine tips for navigating job interviews!

  https://www.kdnuggets.com/tips-for-successfully-navigating-beginner-data-science-job-interviews

• Hypothesis Testing and A/B Testing

  The pillars of data-driven decisions.

  https://www.kdnuggets.com/hypothesis-testing-and-ab-testing

• 10 Math Concepts for Programmers

  The not so secret behind becoming a proficient programmer - Math & it’s top 10 concepts.

  https://www.kdnuggets.com/10-math-concepts-for-programmers

• Want to Become a Data Scientist? Part 1: 10 Hard Skills You Need

  A quick 10-step hard skill guide on what you need to become a Data Scientist.

  https://www.kdnuggets.com/want-to-become-a-data-scientist-part-1-10-hard-skills-you-need

• Learn Data Science and Business Analytics to Drive Innovation and Growth

  This article provides an overview of data science and business analytics. It also provides a brief introduction to the importance of these topics for your business.

  https://www.kdnuggets.com/2023/08/learn-data-science-business-analytics-drive-innovation-growth.html

• Introduction to Data Science: A Beginner’s Guide

  This article is a guide for new data scientists, and it's designed to help you get started quickly. It's meant to be a starting point, but if you're already in the market for a new job, you may want to read this article more.

  https://www.kdnuggets.com/2023/07/introduction-data-science-beginner-guide.html

• 5 Mistakes I Made While Switching to Data Science Career

  Learn from my mistakes and avoid making the same mistakes.

  https://www.kdnuggets.com/2023/07/5-mistakes-made-switching-data-science-career.html

• Unlocking the Power of Numbers in Health Economics and Outcomes Research

  Learn about the quantitative challenges that are present in HEOR research and how statistics can be used to address these issues.

  https://www.kdnuggets.com/2023/07/unlocking-power-numbers-health-economics-outcomes-research.html

• Exploring the Power and Limitations of GPT-4

  Unveiling GPT-4: Deciphering its impact on data science and exploring its strengths and boundaries.

  https://www.kdnuggets.com/2023/07/exploring-power-limitations-gpt4.html

• In-Database Analytics: Leveraging SQL’s Analytic Functions

  Learn about various SQL Analytic functions like RANK(), NTILE(), CUME_DIST() and more to leverage your data analysis skills to the next level.

  https://www.kdnuggets.com/2023/07/indatabase-analytics-leveraging-sql-analytic-functions.html

• 5 Free Books on Natural Language Processing to Read in 2023

  Large language models are getting released left right and center, and if you want to understand them better you need to know about NLP. Here are 5 Free books to help you.

  https://www.kdnuggets.com/2023/06/5-free-books-natural-language-processing-read-2023.html

• A Comparison of Machine Learning Algorithms in Python and R

  This list of the most commonly used machine learning algorithms in Python and R is intended to help novice engineers and enthusiasts get familiar with the most commonly used algorithms.

  https://www.kdnuggets.com/2023/06/machine-learning-algorithms-python-r.html

• 5 Free Julia Books For Data Science

  Discover the full potential of the Julia programming language for data analysis and modeling with a comprehensive guide that covers everything from its syntax to advanced techniques.

  https://www.kdnuggets.com/2023/06/5-free-julia-books-data-science.html

• 21 Must-Have Cheat Sheets for Data Science Interviews: Unlocking Your Path to Success

  This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

  https://www.kdnuggets.com/2022/06/21-cheat-sheets-data-science-interviews.html

• Advanced Feature Selection Techniques for Machine Learning Models

  Mastering Feature Selection: An Exploration of Advanced Techniques for Supervised and Unsupervised Machine Learning Models.

  https://www.kdnuggets.com/2023/06/advanced-feature-selection-techniques-machine-learning-models.html

• Exploring Data Distributions with Histograms

  Learn the basics of exploring data distributions using histograms.

  https://www.kdnuggets.com/2023/05/exploring-data-distributions-histograms.html

• ChatGPT as a Personalized Tutor for Learning Data Science Concepts

  Utilize the power of ChatGPT for data science self-learning.

  https://www.kdnuggets.com/2023/05/chatgpt-personalized-tutor-learning-data-science-concepts.html

• Working with Confidence Intervals

  Learn the basics of how confidence intervals are used in data science and statistics.

  https://www.kdnuggets.com/2023/04/working-confidence-intervals.html

• The Base Rate Fallacy and its Impact on Data Science

  The base rate fallacy is the importance of considering all relevant data.

  https://www.kdnuggets.com/2023/04/base-rate-fallacy-impact-data-science.html

• What Is ChatGPT Doing and Why Does It Work?

  In this article, we will explain how ChatGPT works and why it is able to produce coherent and diverse conversations.

  https://www.kdnuggets.com/2023/04/chatgpt-work.html

• Automated Machine Learning with Python: A Case Study

  How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

  https://www.kdnuggets.com/2023/04/automated-machine-learning-python-case-study.html

• How to Use ChatGPT to Improve Your Data Science Skills

  And How to Speed up your research of data science resources without wasting energy.

  https://www.kdnuggets.com/2023/03/chatgpt-improve-data-science-skills.html

• A Complete Collection of Data Science Free Courses – Part 2

  The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

  https://www.kdnuggets.com/2023/03/complete-collection-data-science-free-courses-part-2.html

• 5 Machine Learning Skills Every Machine Learning Engineer Should Know in 2023

  Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.

  https://www.kdnuggets.com/2023/03/5-machine-learning-skills-every-machine-learning-engineer-know-2023.html

• 9 Free Harvard Courses to Learn Data Science

  Learn Python programming, statistics, and machine learning online from one of the world’s top universities.

  https://www.kdnuggets.com/2022/05/9-free-harvard-courses-learn-data-science-2022.html

• A Complete Collection of Data Science Free Courses – Part 1

  The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.

  https://www.kdnuggets.com/2023/03/complete-collection-data-science-free-courses-part-1.html

• Gaussian Naive Bayes, Explained

  Learn how Gaussian Naive Bayes works and implement it in Python.

  https://www.kdnuggets.com/2023/03/gaussian-naive-bayes-explained.html

• 9 Top Platforms to Practice Key Data Science Skills

  Which platforms would I recommend as a go-to for learning and practicing data science skills? The list would change every day, depending on my mood. Here’s today’s list with an overview of each platform.

  https://www.kdnuggets.com/2023/03/9-top-platforms-practice-key-data-science-skills.html

• First Open Source Implementation of DeepMind’s AlphaTensor

  The first open-source implementation of AlphaTensor has been released and opens the door for new developments to revolutionize the computational performance of deep learning models.

  https://www.kdnuggets.com/2023/03/first-open-source-implementation-deepmind-alphatensor.html

• Top Free Data Science Online Courses for 2023

  Learn Data Science in 2023 for FREE with these online courses.

  https://www.kdnuggets.com/2023/03/top-free-data-science-online-courses-2023.html

• 5 Statistical Paradoxes Data Scientists Should Know

  Knowing these 5 statistical paradoxes is essential for data scientists to improve their analyses and machine learning models.

  https://www.kdnuggets.com/2023/02/5-statistical-paradoxes-data-scientists-know.html

• 10 Free Machine Learning Courses from Top Universities

  Learn the basics of machine learning, including classification, SVM, decision tree learning, neural networks, convolutional, neural networks, boosting, and K nearest neighbors.

  https://www.kdnuggets.com/2023/02/10-free-machine-learning-courses-top-universities.html

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

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

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

• An Introduction to Markov Chains

  Markov chains are often used to model systems that exhibit memoryless behavior, where the system's future behavior is not influenced by its past behavior.

  https://www.kdnuggets.com/2023/01/introduction-markov-chains.html

• How to Use Python and Machine Learning to Predict Football Match Winners

  We will be learning web scraping and training supervised machine-learning algorithms to predict winning teams.

  https://www.kdnuggets.com/2023/01/python-machine-learning-predict-football-match-winners.html

• Things Aren’t Always Normal: Some of the “Other” Distributions

  Learn about Gamma, Beta, and Bernoulli distributions with Python.

  https://www.kdnuggets.com/2023/01/things-arent-always-normal-distributions.html

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

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

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

• Performing a T-Test in Python

  An introduction to the t-test with python implementation.

  https://www.kdnuggets.com/2023/01/performing-ttest-python.html

• 3 Things I Wish I Knew When I Started Data Science

  Looking back and realizing how I was wrong about the data science career.

  https://www.kdnuggets.com/2023/01/3-things-wish-knew-started-data-science.html

• More Data Science Cheatsheets

  It's time again to look at some data science cheatsheets. Here you can find a short selection of such resources which can cater to different existing levels of knowledge and breadth of topics of interest.

  https://www.kdnuggets.com/2021/03/more-data-science-cheatsheets.html

• Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science

  Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence.

  https://www.kdnuggets.com/2020/10/data-science-minimum-10-essential-skills.html

• Learn Data Science From These GitHub Repositories

  Kickstart your data science career with these curated GitHub repositories.

  https://www.kdnuggets.com/2022/12/learn-data-science-github-repositories.html

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

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

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

• The Complete MLOps Study Roadmap

  Kickstart your career as an MLOps Engineer with this study roadmap.

  https://www.kdnuggets.com/2022/12/complete-mlops-study-roadmap.html

• How to Use Analytics to Accelerate Business Growth?

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

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

• 3 Free Machine Learning Courses for Beginners

  Begin your machine learning career with free courses by Georgia Tech, Stanford, and Fast AI.

  https://www.kdnuggets.com/2022/12/3-free-machine-learning-courses-beginners.html

• What are Moment-Generating Functions?

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

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

• The Complete Machine Learning Study Roadmap

  Find out where you need to be to start your Machine Learning journey and what you need to do to succeed in the field.

  https://www.kdnuggets.com/2022/12/complete-machine-learning-study-roadmap.html

• Top 10 Data Science Myths Busted

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

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

• 3 Approaches to Data Imputation

  Learn about data imputation and 3 ways in which to implement it using Python.

  https://www.kdnuggets.com/2022/12/3-approaches-data-imputation.html

• How I Got 4 Data Science Offers and Doubled My Income 2 Months After Being Laid Off

  In this blog, I shared my story on getting 4 data science job offers including Airbnb, Lyft and Twitter after being laid off. Any data scientist who was laid off due to the pandemic or who is actively looking for a data science position can find something here to which they can relate.

  https://www.kdnuggets.com/2021/01/data-science-offers-doubled-income-2-months.html

• What Google Recommends You do Before Taking Their Machine Learning or Data Science Course

  First steps to learning data science & machine learning are the foundations.

  https://www.kdnuggets.com/2021/10/google-recommends-before-machine-learning-data-science-course.html

• How Much Math Do You Need in Data Science?

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

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

• Top Data Analyst Certification Courses for 2022

  Top certification courses by IBM, Edureka, DataCamp, Udacity, and Google.

  https://www.kdnuggets.com/2022/11/top-data-analyst-certification-courses-2022.html

• 15 Free Machine Learning and Deep Learning Books

  Check out this list of 15 FREE ebooks for learning machine learning and deep learning.

  https://www.kdnuggets.com/2022/10/15-free-machine-learning-deep-learning-books.html

• 5 Free Courses to Master Calculus

  Calculus is one of the foundational pillars of understanding the mathematics behind machine learning algorithms. The post shares five free courses to help you master calculus and learn its real-world applications.

  https://www.kdnuggets.com/2022/10/5-free-courses-master-calculus.html

• 10 Cheat Sheets You Need To Ace Data Science Interview

  The only cheat you need for a job interview and data professional life. It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets.

  https://www.kdnuggets.com/2022/10/10-cheat-sheets-need-ace-data-science-interview.html

• How to Correctly Select a Sample From a Huge Dataset in Machine Learning

  We explain how choosing a small, representative dataset from a large population can improve model training reliability.

  https://www.kdnuggets.com/2019/05/sample-huge-dataset-machine-learning.html

• The 5 Surprising Things You Can Do With R

  This article will dive into R's different uses and demonstrate what you can do with this programming language once you've learned it.

  https://www.kdnuggets.com/2022/08/5-surprising-things-r.html

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

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

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

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

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

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

• Top Posts July 18-24: Free Python Automation Course

  Free Python Automation Course • Machine Learning Algorithms Explained in Less Than 1 Minute Each • Parallel Processing Large File in Python • 12 Most Challenging Data Science Interview Questions • Decision Tree Algorithm, Explained

  https://www.kdnuggets.com/2022/07/top-posts-week-0718-0724.html

• Linear Machine Learning Algorithms: An Overview

  In this article, we’ll discuss several linear algorithms and their concepts.

  https://www.kdnuggets.com/2022/07/linear-machine-learning-algorithms-overview.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

• Comprehensive Guide to the Normal Distribution

  Drop in for some tips on how this fundamental statistics concept can improve your data science.

  https://www.kdnuggets.com/2022/06/comprehensive-guide-normal-distribution.html

• A Gentle Introduction to Natural Language Processing

  This gentle introduction to NLP covers the basics, and will help you move along to more advanced topics ASAP.

  https://www.kdnuggets.com/2022/06/gentle-introduction-natural-language-processing.html

• Must-haves on Your Data Science Resume

  Recruiters look at a resume for 7.4 seconds before making a decision on the candidate. So that means you have basically less than 10 seconds to make a good impression. 10 seconds is not a lot of time; especially when you really want this job.

  https://www.kdnuggets.com/2022/06/musthaves-data-science-resume.html

• How to Become a Machine Learning Engineer

  A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.

  https://www.kdnuggets.com/2022/05/become-machine-learning-engineer.html