Search results for Programming Probability

Found 238 documents, 5922 searched:

• Learn Probability in Computer Science with Stanford University for FREE

  Probability is one of the foundational elements of computer science. Some bootcamps will skim over the topic, however, it is integral to your computer science knowledge.

  https://www.kdnuggets.com/learn-probability-in-computer-science-with-stanford-university-for-free

• Genetic Programming in Python: The Knapsack Problem

  This article explores the knapsack problem. We will discuss why it is difficult to solve traditionally and how genetic programming can help find a "good enough" solution. We will then look at a Python implementation of this solution to test out for ourselves.

  https://www.kdnuggets.com/2023/01/knapsack-problem-genetic-programming-python.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

• 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

• 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

• Getting Started with R Programming

  An end to end Data Analysis using R, the second most requested programming language in Data Science.

  https://www.kdnuggets.com/2020/02/getting-started-r-programming.html

• Probability Mass and Density Functions

  This content is part of a series about the chapter 3 on probability from the Deep Learning Book by Goodfellow, I., Bengio, Y., and Courville, A. (2016). It aims to provide intuitions/drawings/python code on mathematical theories and is constructed as my understanding of these concepts.

  https://www.kdnuggets.com/2019/05/probability-mass-density-functions.html

• How Different are Conventional Programming and Machine Learning?

  When I heard about Machine Learning I couldn't contain the amazement. I was not able to get my mind around the fact, that unlike normal software programs - which I was accustomed to - I wouldn't even have to teach a computer the "how" in detail about all the future scenarios up front.

  https://www.kdnuggets.com/2018/12/different-conventional-programming-machine-learning.html

• Top KDnuggets tweets, Jan 04-10: Cartoon: When Self-Driving Car takes you too far; A massive collection of free programming books

  Also AI #DataScience #MachineLearning: Main Developments 2016, Key Trends 2017; Scikit-Learn Cheat Sheet: #Python #MachineLearning

  https://www.kdnuggets.com/2017/01/top-tweets-jan04-10.html

• 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

• 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

• 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

• 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

• 7 Free Harvard University Courses to Advance Your Skills

  Transform your tech career with one of the best universities in the world!

  https://www.kdnuggets.com/7-free-harvard-university-courses-to-advance-your-skills

• Learn Data Science on a Budget

  This blog will go through platforms and courses you can take that will get you from 0-100 on your data science knowledge.

  https://www.kdnuggets.com/learn-data-science-on-a-budget

• 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

• 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

• Enroll in a 4-year Computer Science Degree Program For Free

  Enroll in the free OSSU Computer Science degree program and launch your career in tech today. Learn from high-quality courses from professors from leading universities like MIT, Harvard, and Princeton.

  https://www.kdnuggets.com/enroll-in-a-4-year-computer-science-degree-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

• Free Harvard Course: Introduction to AI with Python

  Looking for a great course to learn Artificial Intelligence with Python? Check out this free course from Harvard University.

  https://www.kdnuggets.com/free-harvard-course-introduction-to-ai-with-python

• 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

• 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

• 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

• 5 Free Books to Master Machine Learning

  Machine Learning is one of the most exciting fields in computer science today. In this article, we will take a look at the five best yet free books to learn machine learning in 2023.

  https://www.kdnuggets.com/5-free-books-to-master-machine-learning

• 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

• Unveiling Unsupervised Learning

  Explore the unsupervised learning paradigm. Familiarize yourself with the key concepts, techniques, and popular unsupervised learning algorithms.

  https://www.kdnuggets.com/unveiling-unsupervised-learning

• 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

• 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

• Reinforcement Learning: Teaching Computers to Make Optimal Decisions

  Reinforcement learning basics to get your feet wet. Learn the components and key concepts in the reinforcement learning framework: from agents and rewards to value functions, policy, and more.

  https://www.kdnuggets.com/2023/07/reinforcement-learning-teaching-computers-make-optimal-decisions.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

• Build a ChatGPT-like Chatbot with These Courses

  Let's dive into some courses that will give you the knowledge you need to build an AI-based chatbot that looks good and functions well.

  https://www.kdnuggets.com/2023/05/build-chatgptlike-chatbot-courses.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

• Dealing with Position Bias in Recommendations and Search

  People click on top items in search and recommendations more often because they are on top, not because of their relevancy. How can this problem be solved?

  https://www.kdnuggets.com/2023/03/dealing-position-bias-recommendations-search.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

• Top Free Courses on Large Language Models

  Interested in learning how ChatGPT and other AI chatbots work under the hood? Look no further. Check out these free courses and resources on large language models from Stanford, Princeton, ETH, and more.

  https://www.kdnuggets.com/2023/03/top-free-courses-large-language-models.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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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 Python Interview Questions & Answers

  The Python coding questions challenge your problem-solving and programming skills.

  https://www.kdnuggets.com/2022/09/5-python-interview-questions-answers.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

• 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

• 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

• 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

• Genetic Algorithm Key Terms, Explained

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

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

• 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

• The Definitive Guide To Switching Your Career Into Data Science

  Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

  https://www.kdnuggets.com/2022/05/definitive-guide-switching-career-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

• Centroid Initialization Methods for k-means Clustering

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

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

• Best Data Science Career Tracks of 2022

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

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

• Data Science Interview Guide – Part 2: Interview Resources

  Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science.

  https://www.kdnuggets.com/2022/04/data-science-interview-guide-part-2-interview-resources.html

• How to Ace Data Science Assessment Test by Using Automatic EDA Tools

  By using a few lines of code, you can understand key aspects of a given dataset. These tools have helped me answer business-related questions during the data assessment test by Alooba.

  https://www.kdnuggets.com/2022/04/ace-data-science-assessment-test-automatic-eda-tools.html

• Data Science Interview Guide – Part 1: The Structure

  According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.

  https://www.kdnuggets.com/2022/04/data-science-interview-guide-part-1-structure.html

• 8 Free MIT Courses to Learn Data Science Online

  Create a data science learning path with courses from the world’s most prestigious university.

  https://www.kdnuggets.com/2022/03/8-free-mit-courses-learn-data-science-online.html

• A Guide On How To Become A Data Scientist (Step By Step Approach)

  Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.

  https://www.kdnuggets.com/2021/05/guide-become-data-scientist.html

• How to Learn Math for Machine Learning

  So how much math do you need to know in order to work in the data science industry? The answer: Not as much as you think.

  https://www.kdnuggets.com/2022/02/learn-math-machine-learning.html

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

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

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

• An Overview of Logistic Regression

  Logistic regression is an extension of linear regression to solve classification problems. Read more on the specifics of this algorithm here.

  https://www.kdnuggets.com/2022/02/overview-logistic-regression.html

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

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

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

• How to 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

• 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

• The Evolution of Tokenization – Byte Pair Encoding in NLP

  Though we have SOTA algorithms for tokenization, it's always a good practice to understand the evolution trail and learning how have we reached here. Read this introduction to Byte Pair Encoding.

  https://www.kdnuggets.com/2021/10/evolution-tokenization-byte-pair-encoding-nlp.html

• 38 Free Courses on Coursera for Data Science">38 Free Courses on Coursera for Data Science

  There are so many online resources for learning data science, and a great deal of it can be used at no cost. This collection of free courses hosted by Coursera will help you enhance your data science and machine learning skills, no matter your current level of expertise.

  https://www.kdnuggets.com/2021/10/38-free-courses-coursera-datascience.html

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

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

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

• ebook: Learn Data Science with R – free download

  Check out this new book for data science beginners with many practical examples that covers statistics, R, graphing, and machine learning. As a source to learn the full breadth of data science foundations, "Learn Data Science with R" starts at the beginner level and gradually progresses into expert content.

  https://www.kdnuggets.com/2021/09/ebook-learn-data-science-r.html

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

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

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

• Most Common Data Science Interview Questions and Answers">Most Common Data Science Interview Questions and Answers

  After analyzing 900+ data science interview questions from companies over the past few years, the most common data science interview question categories are reviewed in this guide, each explained with an example.

  https://www.kdnuggets.com/2021/08/common-data-science-interview-questions-answers.html

• Understanding BERT with Hugging Face

  We don’t really understand something before we implement it ourselves. So in this post, we will implement a Question Answering Neural Network using BERT and a Hugging Face Library.

  https://www.kdnuggets.com/2021/07/understanding-bert-hugging-face.html

• Advice for Learning Data Science from Google’s Director of Research">Advice for Learning Data Science from Google’s Director of Research

  Surfing the professional career wave in data science is a hot prospect for many looking to get their start in the world. The digital revolution continues to create many exciting new opportunities. But, jumping in too fast without fully establishing your foundational skills can be detrimental to your success, as is suggested by this advice for data science newbies from Peter Norvig, the Director of Research at Google.

  https://www.kdnuggets.com/2021/07/google-advice-learning-data-science.html

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

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

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

• 10 Mistakes You Should Avoid as a Data Science Beginner

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

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

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

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

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

• Getting Started with Reinforcement Learning

  Demystifying some of the main concepts and terminologies associated with Reinforcement Learning and their association with other fields of AI.

  https://www.kdnuggets.com/2021/04/getting-started-reinforcement-learning.html

• How to ace A/B Testing Data Science Interviews">How to ace A/B Testing Data Science Interviews

  Understanding the process of A/B testing and knowing how to discuss this approach during data science job interviews can give you a leg up over other candidates. This mock interview provides a step-by-step guide through how to demonstrate your mastery of the key concepts and logical considerations.

  https://www.kdnuggets.com/2021/04/ab-testing-data-science-interviews.html

• How to Apply Transformers to Any Length of Text

  Read on to find how to restore the power of NLP for long sequences.

  https://www.kdnuggets.com/2021/04/apply-transformers-any-length-text.html

• How to Begin Your NLP Journey

  In this blog post, learn how to process text using Python.

  https://www.kdnuggets.com/2021/03/begin-nlp-journey.html

• Machine Learning Systems Design: A Free Stanford Course">Machine Learning Systems Design: A Free Stanford Course

  This freely-available course from Stanford should give you a toolkit for designing machine learning systems.

  https://www.kdnuggets.com/2021/02/machine-learning-systems-design-free-stanford-course.html

• 10 resources for data science self-study

  Many resources exist for the self-study of data science. In our modern age of information technology, an enormous amount of free learning resources are available to anyone, and with effort and dedication, you can master the fundamentals of data science.

  https://www.kdnuggets.com/2021/02/10-resources-data-science-self-study.html

• Want to Be a Data Scientist? Don’t Start With Machine Learning">Want to Be a Data Scientist? Don’t Start With Machine Learning

  Machine learning may appear like the go-to topic to start learning for the aspiring data scientist. But. thinking these techniques are the key aspects of the role is the biggest misconception. So much more goes into becoming a successful data scientist, and machine learning is only one component of broader skills around processing, managing, and understanding the science behind the data.

  https://www.kdnuggets.com/2021/01/data-scientist-dont-start-machine-learning.html

• The Four Jobs of the Data Scientist">The Four Jobs of the Data Scientist

  So, what do you do for a living? Sometimes, the answer to that question can feel like, "everything!" Well, for the Data Scientist, an extreme sense of being a "jack of all trades" is common. In fact, four such trades can be defined that a top-quality Data Scientist will iterate through during any one project.

  https://www.kdnuggets.com/2021/01/four-jobs-data-scientist.html

• Learn Data Science for free in 2021">Learn Data Science for free in 2021

  If you are considering starting a career path in machine learning and data science, then there is a great deal to learn theoretically, along with gaining practical skills in applying a broad range of techniques. This comprehensive learning plan will guide you to start on this path, and it is all available for free.

  https://www.kdnuggets.com/2021/01/learn-data-science-free-2021.html

• Monte Carlo integration in Python">Monte Carlo integration in Python

  A famous Casino-inspired trick for data science, statistics, and all of science. How to do it in Python?

  https://www.kdnuggets.com/2020/12/monte-carlo-integration-python.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

• 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

• Algorithms for Advanced Hyper-Parameter Optimization/Tuning

  In informed search, each iteration learns from the last, whereas in Grid and Random, modelling is all done at once and then the best is picked. In case for small datasets, GridSearch or RandomSearch would be fast and sufficient. AutoML approaches provide a neat solution to properly select the required hyperparameters that improve the model’s performance.

  https://www.kdnuggets.com/2020/11/algorithms-for-advanced-hyper-parameter-optimization-tuning.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

• Free From MIT: Intro to Computational Thinking with Julia

  Introduction to Computational Thinking with Julia, with Applications to Modeling the COVID-19 Pandemic is another freely-available offering from MIT's Open Courseware.

  https://www.kdnuggets.com/2020/11/free-mit-intro-computational-thinking-julia.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

• Data scientist or machine learning engineer? Which is a better career option?

  In order to build automated data processing systems, we require professionals like Machine Learning Engineers and Data Scientists. But which of these is a better career option right now? Read on to find out.

  https://www.kdnuggets.com/2020/11/greatlearning-data-scientist-machine-learning-engineer.html

• Advice for Aspiring Data Scientists

  Are you a student of some type asking how to get into Data Science? You've come to the right place. Read on for both common and less basic advice on entering the field and excelling in the profession.

  https://www.kdnuggets.com/2020/10/advice-aspiring-data-scientists.html

• How to become a Data Scientist: a step-by-step guide">How to become a Data Scientist: a step-by-step guide

  Data science is everywhere. But what are the best ways to learn the field well enough to enter the profession? Read on for some tips and steps on doing so, and some great courses to help you get there.

  https://www.kdnuggets.com/2020/10/greatlearning-become-data-scientist-guide.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

• Machine Learning from Scratch: Free Online Textbook">Machine Learning from Scratch: Free Online Textbook

  If you are looking for a machine learning starter that gets right to the core of the concepts and the implementation, then this new free textbook will help you dive in to ML engineering with ease. By focusing on the basics of the underlying algorithms, you will be quickly up and running with code you construct yourself.

  https://www.kdnuggets.com/2020/09/machine-learning-from-scratch-free-online-textbook.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

• 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

• Math for Programmers

  Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50.

  https://www.kdnuggets.com/2020/09/manning-math-programmers.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

• 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

• Know What Employers are Expecting for a Data Scientist Role in 2020">Know What Employers are Expecting for a Data Scientist Role in 2020

  The analysis is done from 1000+ recent Data scientist jobs, extracted from job portals using web scraping.

  https://www.kdnuggets.com/2020/08/employers-expecting-data-scientist-role-2020.html

• Awesome Machine Learning and AI Courses">Awesome Machine Learning and AI Courses

  Check out this list of awesome, free machine learning and artificial intelligence courses with video lectures.

  https://www.kdnuggets.com/2020/07/awesome-machine-learning-ai-courses.html

• Math for Programmers!

  Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50.

  https://www.kdnuggets.com/2020/07/manning2-math-programmers.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

• 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

• Software engineering fundamentals for Data Scientists

  As a data scientist writing code for your models, it's quite possible that your work will make its way into a production environment to be used by the masses. But, writing code that is deployed as software is much different than writing code for exploratory data analysis. Learn about the key approaches for making your code production-ready that will save you time and future headaches.

  https://www.kdnuggets.com/2020/06/software-engineering-fundamentals-data-scientists.html

• How to Prepare Your Data

  This is an overview of structuring, cleaning, and enriching raw data.

  https://www.kdnuggets.com/2020/06/how-prepare-your-data.html

• The Most Important Fundamentals of PyTorch you Should Know">The Most Important Fundamentals of PyTorch you Should Know

  PyTorch is a constantly developing deep learning framework with many exciting additions and features. We review its basic elements and show an example of building a simple Deep Neural Network (DNN) step-by-step.

  https://www.kdnuggets.com/2020/06/fundamentals-pytorch.html

• I Designed My Own Machine Learning and AI Degree

  With so many pioneering online resources for open education, check out this organized collection of courses you can follow to become a well-rounded machine learning and AI engineer.

  https://www.kdnuggets.com/2020/05/designed-machine-learning-ai-degree.html

• What You Need to Know About Deep Reinforcement Learning

  How does deep learning solve the challenges of scale and complexity in reinforcement learning? Learn how combining these approaches will make more progress toward the notion of Artificial General Intelligence.

  https://www.kdnuggets.com/2020/05/deep-reinforcement-learning.html