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    Found 6292 documents, 6021 searched:

  • Using Numpy’s argmax()

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

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

  • Real-time Translations with AI

    Language is now less of a barrier than it was in earlier days and the concept of real-time translation is no longer a fantasy with AI. Learn more!

    https://www.kdnuggets.com/2022/07/realtime-translations-ai.html

  • Calculus for Data Science

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

    https://www.kdnuggets.com/2022/07/calculus-data-science.html

  • KDnuggets News, July 20: Machine Learning Algorithms Explained in Less Than 1 Minute Each; Parallel Processing Large File in Python

    Machine Learning Algorithms Explained in Less Than 1 Minute Each; Parallel Processing Large File in Python; Free Python Automation Course; How Does Logistic Regression Work?; 12 Most Challenging Data Science Interview Questions

    https://www.kdnuggets.com/2022/n29.html

  • 5 Project Ideas to Stay Up-To-Date as a Data Scientist

    The skills you have need maintenance and occasional updates. Doing an interesting data science project is what will keep you from getting rusty.

    https://www.kdnuggets.com/2022/07/5-project-ideas-stay-uptodate-data-scientist.html

  • The Evolution of Apache Druid

    And so true to the origins of its name, Apache Druid is shapeshifting - with the addition of a new multi-stage query engine.

    https://www.kdnuggets.com/2022/07/evolution-apache-druid.html

  • Hone Your Data Skills With Free Access to DataCamp

    DataCamp has launched their Free Week, running now through to 11.59 pm ET on 24 July. For this whole week, anyone, anywhere, and anytime can have unlimited access to their site. Try it out now!

    https://www.kdnuggets.com/2022/07/datacamp-hone-data-skills-free-access-datacamp.html

  • When Would Ensemble Techniques be a Good Choice?

    When would ensemble techniques be a good choice? When you want to improve the performance of machine learning models - it’s that simple.

    https://www.kdnuggets.com/2022/07/would-ensemble-techniques-good-choice.html

  • 12 Most Challenging Data Science Interview Questions

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

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

  • Free Python Automation Course

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

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

  • How Does Logistic Regression Work?

    Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables

    https://www.kdnuggets.com/2022/07/logistic-regression-work.html

  • Why SQL Will Remain the Data Scientist’s Best Friend

    Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

    https://www.kdnuggets.com/2022/07/sql-remain-data-scientist-best-friend.html

  • The 5 Best Places To Host Your Data Science Portfolio

    How can you showcase your data scientist skills and abilities? The answer to this question is online platforms where you can publish your portfolio and seize opportunities.

    https://www.kdnuggets.com/2022/07/5-best-places-host-data-science-portfolio.html

  • Machine Learning Is Not Like Your Brain Part 5: Biological Neurons Can’t Do Summation of Inputs

    See why biological neurons can’t do the most fundamental process of the artificial perceptron, the summation of inputs.

    https://www.kdnuggets.com/2022/07/machine-learning-like-brain-part-5-biological-neurons-cant-summation-inputs.html

  • MLOps: The Key To Pushing AI Into The Mainstream

    In this blog, we will aim at discussing the reasons that make MLOps an essential aspect of pushing AI mainstream. Besides, we will highlight the capabilities of MLOps as a catalyst for AI implementation.

    https://www.kdnuggets.com/2022/07/mlops-key-pushing-ai-mainstream.html

  • Free Artificial Intelligence And Deep Learning Crash Course

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

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

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

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

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

  • 3 things you didn’t know about the SAS Academy for Data Science

    The SAS Academy for Data Science is one of many paths to becoming a data scientist. It is designed for those who have a background in programming and mathematics, who want to upskill as part of a career change or those who want to gain the hands-on practical skills that can advance your professional growth and experience with SAS and data science.

    https://www.kdnuggets.com/2022/07/sas-3-things-didnt-know-sas-academy-data-science.html

  • How to Convert an RGB Image to Grayscale

    This post is about working with a mixture of color and grayscale images and needing to transform them into a uniform format - all grayscale. We'll be working in Python using the Pillow, Numpy, and Matplotlib packages.

    https://www.kdnuggets.com/2019/12/convert-rgb-image-grayscale.html

  • Data Preparation and Raw Data in Machine Learning

    In this article, I will describe the data preparation techniques for machine learning.

    https://www.kdnuggets.com/2022/07/data-preparation-raw-data-machine-learning.html

  • Linear Algebra for Data Science

    KDnuggets Top Blog In this article, we discuss the importance of linear algebra in data science and machine learning.

    https://www.kdnuggets.com/2022/07/linear-algebra-data-science.html

  • Python String Processing Cheatsheet

    Try this string processing primer cheatsheet to gain an understanding of using Python to manipulate and process strings at a basic level.

    https://www.kdnuggets.com/2020/01/python-string-processing-primer.html

  • Why Use k-fold Cross Validation?

    Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.

    https://www.kdnuggets.com/2022/07/kfold-cross-validation.html

  • 10 Modern Data Engineering Tools

    Learn about the modern tools for data orchestration, data storage, analytical engineering, batch processing, and data streaming.

    https://www.kdnuggets.com/2022/07/10-modern-data-engineering-tools.html

  • Bounding Box Deep Learning: The Future of Video Annotation

    Bounding box deep learning has several benefits that make it well-suited for video annotation.

    https://www.kdnuggets.com/2022/07/bounding-box-deep-learning-future-video-annotation.html

  • Boosting Machine Learning Algorithms: An Overview

    The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.

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

  • 16 Essential DVC Commands for Data Science

    KDnuggets Top Blog Learn essential DVC commands to version large datasets and track and manage the machine learning experiments.

    https://www.kdnuggets.com/2022/07/16-essential-dvc-commands-data-science.html

  • High-Fidelity Synthetic Data for Data Engineers and Data Scientists Alike

    Take advantage of your existing data whether it be for testing, training ML models, or unlocking data analysis. Answer nuanced scientific questions, enable better testing, and support business decisions with the synthetic data that looks, feels, and behaves like your production data - because it’s made from your production data.

    https://www.kdnuggets.com/2022/tonic-high-fidelity-synthetic-data-engineers-scientists-alike.html

  • Ten Key Lessons of Implementing Recommendation Systems in Business

    We've been long working on improving the user experience in UGC products with machine learning. Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product.

    https://www.kdnuggets.com/2022/07/ten-key-lessons-implementing-recommendation-systems-business.html

  • Hidden Technical Debts Every AI Practitioner Should be Aware of

    Coming to think of technical debt in ML systems leads to the additional overhead of ML-related issues on top of typical software engineering issues.

    https://www.kdnuggets.com/2022/07/hidden-technical-debts-every-ai-practitioner-aware.html

  • N-gram Language Modeling in Natural Language Processing

    N-gram is a sequence of n words in the modeling of NLP. How can this technique be useful in language modeling?

    https://www.kdnuggets.com/2022/06/ngram-language-modeling-natural-language-processing.html

  • Simple Salary Guide for Tech Experts 2022

    Looking for a straightforward guide to tech title salaries? Look no further!

    https://www.kdnuggets.com/2022/07/simple-salary-guide-tech-experts-2022.html

  • 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

  • Data Preparation in R Cheatsheet

    Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.

    https://www.kdnuggets.com/2021/10/data-preparation-r-dplyr-cheat-sheet.html

  • Developing an Open Standard for Analytics Tracking

    Striving for a new generic way to structure analytics data, so models built on one data set can be deployed and run on another.

    https://www.kdnuggets.com/2022/07/developing-open-standard-analytics-tracking.html

  • Linear Regression for Data Science

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

    https://www.kdnuggets.com/2022/07/linear-regression-data-science.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

  • Free Python Crash Course

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

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

  • Machine Learning Model Management

    The tools used in the development cycle for Machine Learning and the managing of the models require MLOps - Machine Learning Operations.

    https://www.kdnuggets.com/2022/07/machine-learning-model-management.html

  • 12 Essential VSCode Extensions for Data Science

    KDnuggets Top Blog Learn about the data science VSCode extensions for super productivity and better user experience.

    https://www.kdnuggets.com/2022/07/12-essential-vscode-extensions-data-science.html

  • Celebrating Women in Leadership Roles in the Tech Industry

    The technology industry, specifically, has been continuing to close the gender gap.

    https://www.kdnuggets.com/2022/07/celebrating-women-leadership-roles-tech-industry.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

  • The Resilient ML Stack is Modular

    So how can an organization stay agile within an ever-shifting ML landscape? Part of the answer lies with establishing a modular ML architecture. Comet will be joined on July 6th in a live webinar by the AI Infrastructure Alliance and Superb AI to discuss how to accelerate AI value with modular MLOps. Register now.

    https://www.kdnuggets.com/2022/06/comet-resilient-ml-stack-modular.html

  • Top 5 Data Management Platforms

    This article presents the top 5 data management platforms, in order to help you choose which might be best for you.

    https://www.kdnuggets.com/2022/06/top-5-data-management-platforms.html

  • Statistics and Probability for Data Science

    KDnuggets Top Blog 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

  • KDnuggets News, June 29: 20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis

    20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis; Data Science Career: 7 Expectations vs Reality; Machine Learning Is Not Like Your Brain Part 4: The Neuron’s Limited Ability to Represent Precise Values; Comprehensive Guide to the Normal Distribution

    https://www.kdnuggets.com/2022/n26.html

  • Step up your Python game with Fast Python for Data Science!

    Fast Python for Data Science by Tiago Antao is a hands-on guide to writing Python code that can process more data, faster, and with less resources.

    https://www.kdnuggets.com/2022/06/manning-step-python-game-fast-python-data-science.html

  • Essential Math for Data Science: Eigenvectors and Application to PCA

    In this article, you’ll learn about the eigendecomposition of a matrix.

    https://www.kdnuggets.com/2022/06/essential-math-data-science-eigenvectors-application-pca.html

  • 24 SQL Questions You Might See on Your Next Interview

    Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.

    https://www.kdnuggets.com/2022/06/24-sql-questions-might-see-next-interview.html

  • Data Preparation with SQL Cheatsheet

    KDnuggets Top Blog If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

    https://www.kdnuggets.com/2021/05/data-preparation-sql-cheat-sheet.html

  • How to Stay Current in Python

    Staying current with Python will help maintain your hireability, get new opportunities, and continue to grow your knowledge.

    https://www.kdnuggets.com/2022/06/stay-current-python.html

  • Top Posts June 20-26: 20 Basic Linux Commands for Data Science Beginners

    Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022

    https://www.kdnuggets.com/2022/06/top-posts-week-0620-0626.html

  • The Complete Collection of Data Science Interviews – Part 2

    The second part covers the list of Data Management, Data Engineering, Machine Learning, Deep Learning, Natural Language Processing, MLOps, Cloud Computing, and AI Manager interview questions.

    https://www.kdnuggets.com/2022/06/complete-collection-data-science-interviews-part-2.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

  • Why You Need To Learn More Than One Programming Language!

    Will your skills get outdated if you survive on one programming language for your career? Read on to find out.

    https://www.kdnuggets.com/2022/06/need-learn-one-programming-language.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

  • 20 Basic Linux Commands for Data Science Beginners

    KDnuggets Top Blog Essential Linux commands to improve the data science workflow. It will give you the power to automate tasks, build pipelines, access file systems, and enhance development operations.

    https://www.kdnuggets.com/2022/06/20-basic-linux-commands-data-science-beginners.html

  • Speed up Machine Learning with Fast Kriging (FKR)

    Machine Learning has revolutionized the world, yet expensive computation costs on model trainings are often a large limitation, especially for large data sets or elevated precisions. VMC Consulting offers a new algorithm called Fast Kriging (FKR), which allows to train models with the high precision of Kriging at a speed 100+ times faster, without compromising precision, for any data set size.

    https://www.kdnuggets.com/2022/06/vmc-speed-machine-learning-fast-kriging.html

  • Machine Learning Is Not Like Your Brain Part 4: The Neuron’s Limited Ability to Represent Precise Values

    In the fourth installment, we focus on a fundamental issue: it is difficult to represent numerical values in neurons and impractical to represent them with precision.

    https://www.kdnuggets.com/2022/06/machine-learning-like-brain-part-4-neuron-limited-ability-represent-precise-values.html

  • Data Science Career: 7 Expectations vs Reality

    Let’s get into some of the expectations of data scientists – and the reality they face.

    https://www.kdnuggets.com/2022/06/data-science-career-7-expectations-reality.html

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

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

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

  • Introducing Objectiv: Open-source product analytics infrastructure

    Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.

    https://www.kdnuggets.com/2022/06/objectiv-introducing-objectiv-opensource-product-analytics-infrastructure.html

  • Essential Math for Data Science: Visual Introduction to Singular Value Decomposition

    This article will cover singular value decomposition (SVD), which is a major topic of linear algebra, data science, and machine learning.

    https://www.kdnuggets.com/2022/06/essential-math-data-science-visual-introduction-singular-value-decomposition.html

  • Plotting and Data Visualization for Data Science

    In this article, we examine various types of plots used in data science and machine learning.

    https://www.kdnuggets.com/2022/06/plotting-data-visualization-data-science.html

  • KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022

    Also: The Complete Collection of Data Science Books - Part 2; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books - Part 1; Data Science Projects That Will Land You The Job in 2022; Software Developer vs Software Engineer

    https://www.kdnuggets.com/2022/06/top-posts-may-2022.html

  • Super Study Guide: A Free Algorithms and Data Structures eBook

    Check out Super Study Guide: Algorithms and Data Structures, a free ebook covering foundations, data structures, graphs, and trees, sorting and searching.

    https://www.kdnuggets.com/2022/06/super-study-guide-free-algorithms-data-structures-ebook.html

  • Top Posts June 13-19: 14 Essential Git Commands for Data Scientists

    Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Primary Supervised Learning Algorithms Used in Machine Learning

    https://www.kdnuggets.com/2022/06/top-posts-week-0613-0619.html

  • The Complete Collection of Data Science Interviews – Part 1

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

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

  • 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

  • Primary Supervised Learning Algorithms Used in Machine Learning

    KDnuggets Top Blog In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

    https://www.kdnuggets.com/2022/06/primary-supervised-learning-algorithms-used-machine-learning.html

  • Prepare Your Data for Effective Tableau & Power BI Dashboards

    Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.

    https://www.kdnuggets.com/2022/06/prepare-data-effective-tableau-power-bi-dashboards.html

  • Top 15 Books to Master Data Strategy

    In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

    https://www.kdnuggets.com/2022/06/top-15-books-master-data-strategy.html

  • Generate Synthetic Time-series Data with Open-source Tools

    An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.

    https://www.kdnuggets.com/2022/06/generate-synthetic-timeseries-data-opensource-tools.html

  • Top Data Science Podcasts for 2022

    Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

    https://www.kdnuggets.com/2022/06/top-data-science-podcasts-2022.html

  • KDnuggets News, June 15: 14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model

    14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model; How is Data Mining Different from Machine Learning?; Understanding Functions for Data Science; Top 18 Data Science Facebook Groups

    https://www.kdnuggets.com/2022/n24.html

  • The Definitive Guide to Solving the Phantom Read in MySQL

    This article will cover how MySQL developers can troubleshoot the "write" skew that phantom reads can cause.

    https://www.kdnuggets.com/2022/06/definitive-guide-solving-phantom-read-mysql.html

  • Python For Machine Learning: eBook Review

    The guide to writing production-ready Python code for machine learning projects.

    https://www.kdnuggets.com/2022/06/python-machine-learning-ebook-review.html

  • Deep Learning Key Terms, Explained

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

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

  • Publications on Data Science, Machine Learning, AI & Analytics

      Featured Publications The Machine Learning Mastery EBook Catalog Machine Learning Mastery Frustrated with one-off articles and too much math? Take the Next Step and Read more »

    https://www.kdnuggets.com/publication/index.html

  • NLP, NLU, and NLG: What’s The Difference? A Comprehensive Guide

    This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.

    https://www.kdnuggets.com/2022/06/nlp-nlu-nlg-difference-comprehensive-guide.html

  • A Structured Approach To Building a Machine Learning Model

    This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.

    https://www.kdnuggets.com/2022/06/structured-approach-building-machine-learning-model.html

  • Scrape Images Easily from Websites in A No-Coding Way

    In the upcoming 8.5.4 version of Octoparse, image download during the data scraping process will be supported. You won’t miss it!

    https://www.kdnuggets.com/2022/06/octoparse-scrape-images-easily-websites-nocoding-way.html

  • Understanding Functions for Data Science

    Most data science problems boil down to finding the mathematical function that describes the relationship between feature and target variables.

    https://www.kdnuggets.com/2022/06/understanding-functions-data-science.html

  • European AI Act: The Simplified Breakdown

    The AI act aims to ensure excellence in the EU, provide the correct conditions for the development of AI and guarantee that AI systems are beneficial to people.

    https://www.kdnuggets.com/2022/06/european-ai-act-simplified-breakdown.html

  • Every Engineer Should and Can Learn Machine Learning

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

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

  • How is Data Mining Different from Machine Learning?

    How about we take a closer look at data mining and machine learning so we know how to catch their different ends?

    https://www.kdnuggets.com/2022/06/data-mining-different-machine-learning.html

  • Top 18 Data Science Facebook Groups

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

    https://www.kdnuggets.com/2022/06/top-18-data-science-facebook-groups.html

  • KDnuggets News, June 8: 21 Cheat Sheets for Data Science Interviews; Top 18 Data Science Group on LinkedIn

    21 Cheat Sheets for Data Science Interviews; Top 18 Data Science Group on LinkedIn; A Beginner's Guide to Q Learning; 3 Ways Understanding Bayes Theorem Will Improve Your Data Science; Machine Learning Is Not Like Your Brain Part 3: Fundamental Architecture

    https://www.kdnuggets.com/2022/n23.html

  • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science

    KDnuggets Top Blog Mastery of this intuitive statistical concept will advance your credibility as a decision-maker.

    https://www.kdnuggets.com/2022/06/3-ways-understanding-bayes-theorem-improve-data-science.html

  • Data Science is Overrated, Here’s Why

    Think twice before jumping on the data science bandwagon.

    https://www.kdnuggets.com/2022/06/data-science-overrated.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

  • Python: The programming language of machine learning

    You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.

    https://www.kdnuggets.com/2022/06/mlm-python-programming-language-machine-learning.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

  • Learn MLOps with This Free Course

    KDnuggets Top Blog Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.

    https://www.kdnuggets.com/2022/06/learn-mlops-free-course.html

  • How Activation Functions Work in Deep Learning

    Check out a this article for a better understanding of activation functions.

    https://www.kdnuggets.com/2022/06/activation-functions-work-deep-learning.html

  • A Beginner’s Guide to Q Learning

    Learn the basics of Q-learning in this article, a model-free reinforcement learning algorithm.

    https://www.kdnuggets.com/2022/06/beginner-guide-q-learning.html

  • Five Signs of an Effective Data Science Manager

    In this article, we will go beyond the theoretical realm of what a data science manager does and focus more on how to become an “effective” data science manager.

    https://www.kdnuggets.com/2022/06/five-signs-effective-data-science-manager.html

  • Machine Learning Is Not Like Your Brain Part 3: Fundamental Architecture

    Part three of this series examines the fundamental architecture underlying machine learning and the brain.

    https://www.kdnuggets.com/2022/06/machine-learning-like-brain-part-3-fundamental-architecture.html

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