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  • The Complete Collection of Data Science Books – Part 2

    Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

    https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

  • Descriptive Statistics Key Terms, Explained

    This is a collection of 15 basic descriptive statistics key terms, explained in easy to understand language, along with an example and some Python code for computing simple descriptive statistics.

    https://www.kdnuggets.com/2017/05/descriptive-statistics-key-terms-explained.html

  • Understanding Agent Environment in AI

    The role of the agent is always very important in artificial intelligence, machine learning, and deep learning. Learn more about agents here.

    https://www.kdnuggets.com/2022/05/understanding-agent-environment-ai.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

  • KDnuggets News, May 25: The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books

    The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books - Part 1; Finding the Best IDE Software; 5 Ways to Double Your Income with Data Science; Operationalizing Machine Learning from PoC to Production

    https://www.kdnuggets.com/2022/n21.html

  • 7 Unique Skills That Set Data Scientists Apart From Other Professions

    To be a data scientist, and especially to be a good one, you need these seven skills to do your job and stand out. These seven skills also transfer really well to other professions.

    https://www.kdnuggets.com/2022/05/7-unique-skills-set-data-scientists-apart-professions.html

  • Machine Learning Is Not Like Your Brain Part Two: Perceptrons vs Neurons

    An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.

    https://www.kdnuggets.com/2022/05/machine-learning-like-brain-part-two-perceptrons-neurons.html

  • 3 Reasons Why Teamwork is an Essential Skill in Data Science

    This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.

    https://www.kdnuggets.com/2022/05/3-reasons-teamwork-essential-skill-data-science.html

  • Top Jobs and Salaries in Data Science in 2022

    If you are looking to get into the field, you are probably looking for something that you are interested in, but also know that you have a nicely compensated salary. Read more here.

    https://www.kdnuggets.com/2022/05/top-jobs-salaries-data-science-2022.html

  • Pydon’ts – Write elegant Python code: Free Book Review

    The book consists of 200 actionable Python insights with a detailed explanation of how to write elegant, compelling, and expressive code.

    https://www.kdnuggets.com/2022/05/pydonts-write-elegant-python-code-free-book-review.html

  • Operationalizing Machine Learning from PoC to Production

    Most companies haven’t seen ROI from machine learning since the benefit is only realized when the models are in production. Here’s how to make sure your ML project works.

    https://www.kdnuggets.com/2022/05/operationalizing-machine-learning-poc-production.html

  • The 6 Python Machine Learning Tools Every Data Scientist Should Know About

    Let's look at six must-have tools every data scientist should use.

    https://www.kdnuggets.com/2022/05/6-python-machine-learning-tools-every-data-scientist-know.html

  • A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

    We give a taxonomy of the trustworthy GNNs in privacy, robustness, fairness, and explainability. For each aspect, we categorize existing works into various categories, give general frameworks in each category, and more.

    https://www.kdnuggets.com/2022/05/comprehensive-survey-trustworthy-graph-neural-networks-privacy-robustness-fairness-explainability.html

  • The Complete Collection of Data Science Books – Part 1

    Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

    https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-1.html

  • Finding the Best IDE Software

    What should you be looking for in an IDE? Find out here.

    https://www.kdnuggets.com/2022/05/finding-best-ide-software.html

  • How to Manage Your Complex IT Landscape with AIOps

    Complete guide and blog post series on IT Operations Management with AIOps. Using AI and Machine Learning to manage IT complexity to deliver world class IT service while keeping the lights on.

    https://www.kdnuggets.com/2022/05/manage-complex-landscape-aiops.html

  • KDnuggets News, May 18: 5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management

    5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management; Popular Machine Learning Algorithms; Reinforcement Learning for Newbies ; Deep Learning For Compliance Checks: What's New?

    https://www.kdnuggets.com/2022/n20.html

  • 5 Ways to Double Your Income with Data Science

    Here’s how you can use your data skills to generate side income from home.

    https://www.kdnuggets.com/2022/05/5-ways-double-income-data-science.html

  • Top Posts May 9-15: Decision Tree Algorithm, Explained

    Also: 9 Free Harvard Courses to Learn Data Science in 2022; Free University Data Science Resources; Top Programming Languages and Their Uses; Naïve Bayes Algorithm: Everything You Need to Know

    https://www.kdnuggets.com/2022/05/top-posts-week-0509-0515.html

  • Search is Fundamental

    Our next 2-week “Search Fundamentals” class starts on June 6th, and our next 4-week “Search with Machine Learning” class starts on June 20th.

    https://www.kdnuggets.com/2022/05/corise-search-fundamental.html

  • HuggingFace Has Launched a Free Deep Reinforcement Learning Course

    Hugging Face has released a free course on Deep RL. It is self-paced and shares a lot of pointers on theory, tutorials, and hands-on guides.

    https://www.kdnuggets.com/2022/05/huggingface-launched-free-deep-reinforcement-learning-course.html

  • 6 Soft Skills for Data Scientists Working Remotely

    As a data scientist, you might have a great portfolio of technical skills, but if you can’t communicate effectively, you won’t be able to convey your ideas clearly during virtual meetings

    https://www.kdnuggets.com/2022/05/6-soft-skills-data-scientists-working-remotely.html

  • Should The Data Warehouse Be Immutable?

    Is the data warehouse broken? Is the "immutable data warehouse" the right path for your data team? Learn more here.

    https://www.kdnuggets.com/2022/05/data-warehouse-immutable.html

  • Natural Language Processing Key Terms, Explained

    This post provides a concise overview of 18 natural language processing terms, intended as an entry point for the beginner looking for some orientation on the topic.

    https://www.kdnuggets.com/2017/02/natural-language-processing-key-terms-explained.html

  • Popular Machine Learning Algorithms

    This guide will help aspiring data scientists and machine learning engineers gain better knowledge and experience. I will list different types of machine learning algorithms, which can be used with both Python and R.

    https://www.kdnuggets.com/2022/05/popular-machine-learning-algorithms.html

  • Reinforcement Learning for Newbies

    A simple guide to reinforcement learning for a complete beginner. The blog includes definitions with examples, real-life applications, key concepts, and various types of learning resources.

    https://www.kdnuggets.com/2022/05/reinforcement-learning-newbies.html

  • The Curse of Delayed Performance

    Predict the performance of your model -  before the ground truth is available.

    https://www.kdnuggets.com/2022/05/nannyml-curse-delayed-performance.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

  • oBERT: Compound Sparsification Delivers Faster Accurate Models for NLP

    Discover "compound sparsification" and how to apply it to BERT models for 10x compression and GPU-level latency on commodity CPUs.

    https://www.kdnuggets.com/2022/05/obert-compound-sparsification-delivers-faster-accurate-models-nlp.html

  • The “Hello World” of Tensorflow

    In this article, we will build a beginner-friendly machine learning model using TensorFlow.

    https://www.kdnuggets.com/2022/05/hello-world-tensorflow.html

  • Deep Learning For Compliance Checks: What’s New?

    By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.

    https://www.kdnuggets.com/2022/05/deep-learning-compliance-checks-new.html

  • Can We Query a Table with T5?

    Learn how to tune a large language model.

    https://www.kdnuggets.com/2022/05/query-table-t5.html

  • 5 Free Hosting Platform For Machine Learning Applications

    Learn about the free and easy-to-deploy hosting platform for your machine learning projects.

    https://www.kdnuggets.com/2022/05/5-free-hosting-platform-machine-learning-applications.html

  • Top 4 tricks for competing on Kaggle and why you should start

    If you aren't familiar with Kaggle, you should be. Hear why from two expert Kagglers in this article.

    https://www.kdnuggets.com/2022/05/packt-top-4-tricks-competing-kaggle-start.html

  • Create Efficient Combined Data Sources with Tableau

    Save time and effort with this guide, which will show you how to do data join operations in Tableau.

    https://www.kdnuggets.com/2022/05/create-efficient-combined-data-sources-tableau.html

  • Data Mesh Architecture: Reimagining Data Management

    The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

    https://www.kdnuggets.com/2022/05/data-mesh-architecture-reimagining-data-management.html

  • KDnuggets News, May 11: SQL Notes for Professionals; How To Structure a Data Science Project

    SQL Notes for Professionals: The Free eBook Review; How To Structure a Data Science Project: A Step-by-Step Guide; Everything You Need to Know About Tensors; Free University Data Science Resources; Image Classification with Convolutional Neural Networks (CNNs)

    https://www.kdnuggets.com/2022/n19.html

  • Quick Data Science Tips and Tricks to Learn SAS

    How To Tutorials with SAS data scientists and analytics instructors.

    https://www.kdnuggets.com/2022/05/sas-quick-data-science-tips-tricks-learn.html

  • 4 Steps for Managing a Data Science Project

    Good planning and preparation will not only improve productivity, but it will help avoid potential pitfalls and roadblocks that could be encountered during project execution.

    https://www.kdnuggets.com/2022/05/4-steps-managing-data-science-project.html

  • Machine Learning’s Sweet Spot: Pure Approaches in NLP and Document Analysis

    While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.

    https://www.kdnuggets.com/2022/05/machine-learning-sweet-spot-pure-approaches-nlp-document-analysis.html

  • Free University Data Science Resources

    This is a list of FREE data science resources and notes that are available online, some of which are provided by universities.

    https://www.kdnuggets.com/2022/05/free-university-data-science-resources.html

  • Top Posts May 2-8: 9 Free Harvard Courses to Learn Data Science in 2022

    Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Software Developer vs Software Engineer

    https://www.kdnuggets.com/2022/05/top-posts-week-0502-0508.html

  • Machine Learning Key Terms, Explained

    Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.

    https://www.kdnuggets.com/2016/05/machine-learning-key-terms-explained.html

  • Learning Data Science If You’re Broke

    Check out this list of free resources, courses, and more to help you become a Data Scientist for free.

    https://www.kdnuggets.com/2022/05/learning-data-science-broke.html

  • An Overview of Mercury: Creating Data Science Portfolio and Notebook Based WebApps

    Turn your dull Jupyter notebooks into interactive web apps by adding a YAML header and sharing it with your friends and colleagues. You can also use Mercury to create your data science portfolio, which consists of a resume and projects.

    https://www.kdnuggets.com/2022/05/overview-mercury-creating-data-science-portfolio-notebook-based-webapps.html

  • Does AI Get its Own Batman?

    AI is sending up the Bat-signal and synthetic data is answering the call for more robust, powerful, and less-biased AI systems.

    https://www.kdnuggets.com/2022/05/ai-get-batman.html

  • Everything You Need to Know About Tensors

    In this article, we will cover the basics of the tensors.

    https://www.kdnuggets.com/2022/05/everything-need-know-tensors.html

  • How to Build Strong Data Science Portfolio as a Beginner

    After learning the basics of data science, you can start to work on real-world problems. But how do you showcase your work? In this article, we are going to learn a unique way to create a data science portfolio.

    https://www.kdnuggets.com/2021/10/strong-data-science-portfolio-as-beginner.html

  • Hypothesis Testing Explained

    This brief overview of the concept of Hypothesis Testing covers its classification in parametric and non-parametric tests, and when to use the most popular ones, including means, correlation, and distribution, in the case of one sample and two samples.

    https://www.kdnuggets.com/2021/09/hypothesis-testing-explained.html

  • SQL Notes for Professionals: The Free eBook Review

    The free book is a combination of SQL cheat sheets and practical database examples. It provided bite-size information about every SQL function and attribute with coding samples.

    https://www.kdnuggets.com/2022/05/sql-notes-professionals-free-ebook-review.html

  • Machine Learning Is Not Like Your Brain Part One: Neurons Are Slow, Slow, Slow

    Artificial intelligence is not all that intelligent. While today’s AI can do some extraordinary things, the functionality underlying its accomplishments has very little to do with the way in which a human brain works to achieve the same tasks.

    https://www.kdnuggets.com/2022/04/machine-learning-like-brain-part-one-neurons-slow-slow-slow.html

  • Image Classification with Convolutional Neural Networks (CNNs)

    In this article, we’ll look at what Convolutional Neural Networks are and how they work.

    https://www.kdnuggets.com/2022/05/image-classification-convolutional-neural-networks-cnns.html

  • 3 Steps for Harnessing the Power of Data

    Even though data is now produced at an unprecedented amount, data must be collected, processed, transformed, and analyzed to harness its power. Read more about the 3 main stages involved.

    https://www.kdnuggets.com/2022/05/3-steps-harnessing-power-data.html

  • How To Structure a Data Science Project: A Step-by-Step Guide

    Check out all the necessary steps to successfully structure your data science projects leveraging data science templates.

    https://www.kdnuggets.com/2022/05/structure-data-science-project-stepbystep-guide.html

  • KDnuggets News, May 4: 9 Free Harvard Courses to Learn Data Science; 15 Python Coding Interview Questions You Must Know For Data Science

    9 Free Harvard Courses to Learn Data Science in 2022; 15 Python Coding Interview Questions You Must Know For Data Science; Best Data Science Career Tracks of 2022; 6 Highest Paying Companies for Data Scientists; Why You Need To Learn Python In 2022

    https://www.kdnuggets.com/2022/n18.html

  • Top Posts April 25 – May 1: 15 Python Coding Interview Questions You Must Know For Data Science

    Also: Decision Tree Algorithm, Explained; Naïve Bayes Algorithm: Everything You Need to Know; Top Programming Languages and Their Uses; 5 Different Ways to Load Data in Python

    https://www.kdnuggets.com/2022/05/top-posts-week-0425-0501.html

  • 5 Key Components of a Data Sharing Platform

    Read this article for an overview of what the components of a data-sharing platform are.

    https://www.kdnuggets.com/2022/05/5-key-components-data-sharing-platform.html

  • Software Developer vs Software Engineer

    The terms developer and engineer are used synonymously, making it difficult to understand the difference between the two in the midst of a conversation.

    https://www.kdnuggets.com/2022/05/software-developer-software-engineer.html

  • 6 Highest Paying Companies for Data Scientists

    These are the six top paying companies for data scientists. I’ve looked at absolute salary, but I’ll fill you in on other factors you should consider as well when it comes to picking a data science job for money.

    https://www.kdnuggets.com/2022/05/6-highest-paying-companies-data-scientists.html

  • 9 Free Harvard Courses to Learn Data Science in 2022

    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

  • Top 10 Machine Learning Demos: Hugging Face Spaces Edition

    Hugging Face Spaces allows you to have an interactive experience with the machine learning models, and we will be discovering the best application to get some inspiration.

    https://www.kdnuggets.com/2022/05/top-10-machine-learning-demos-hugging-face-spaces-edition.html

  • Data Management: How to Stay on Top of Your Customer’s Mind?

    Extract, profile, and manage your customer data in a flash with customer data management solutions, and achieve a customer-centric culture.

    https://www.kdnuggets.com/2022/04/data-management-stay-top-customer-mind.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

  • Connecting the Knowledge Ecosystem

    We’re proud to announce that the 4th annual Knowledge Graph Conference is taking place on May 2-6 at Cornell Tech, NYC and virtually on Airmeet.

    https://www.kdnuggets.com/2022/knowledge-graph-connecting-knowledge-ecosystem.html

  • High Availability SQL Server Docker Containers in Kubernetes

    Need high availability for SQL Server Docker containers in Kubernetes? Here’s how to get it.

    https://www.kdnuggets.com/2022/04/high-availability-sql-server-docker-containers-kubernetes.html

  • Why You Need To Learn Python In 2022

    If you don’t already know a programming language, or if you’re deciding to choose another language, have a read and see if Python is for you.

    https://www.kdnuggets.com/2022/04/need-learn-python-2022.html

  • MLOps: The Best Practices and How To Apply Them

    Here are some of the best practices for implementing MLOps successfully.

    https://www.kdnuggets.com/2022/04/mlops-best-practices-apply.html

  • KDnuggets News, April 27: A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022

    A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022; Building a Scalable ETL with SQL + Python; 7 Steps to Mastering SQL for Data Science; Top Data Science Projects to Build Your Skills

    https://www.kdnuggets.com/2022/n17.html

  • Getting Deep Learning working in the wild: A Data-Centric Course

    Data-centric learning resources are somewhat scattered today, and that’s why we developed a new Data Centric Deep Learning course on the co:rise education platform. It is an introduction to a set of approaches and best practices, for people who are trying to do deep learning in the wild.

    https://www.kdnuggets.com/2022/04/corise-deep-learning-wild-data-centric-course.html

  • Data Scientist, Data Engineer & Other Data Careers, Explained

    In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.

    https://www.kdnuggets.com/2021/05/data-scientist-data-engineer-data-careers-explained.html

  • How Fast Can BERT Go With Sparsity?

    How much impact does sparsity have on model performance?

    https://www.kdnuggets.com/2022/04/fast-bert-go-sparsity.html

  • 15 Python Coding Interview Questions You Must Know For Data Science

    Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.

    https://www.kdnuggets.com/2022/04/15-python-coding-interview-questions-must-know-data-science.html

  • Want to Use Your Data Skills to Solve Global Problems? Here’s What You Need to Know

    Global risk management is an arena where data brings order to an unpredictable world. Johns Hopkins University’s part-time Master of Arts in Global Risk (online) takes just 18 to 21 months to complete. This multidisciplinary program helps professionals develop the skills to make forward-looking decisions that contribute to risk management.

    https://www.kdnuggets.com/2022/04/jhu-want-data-skills-solve-global-problems.html

  • A Simple Guide to Machine Learning Visualisations

    Create simple, effective machine learning plots with Yellowbrick

    https://www.kdnuggets.com/2022/04/simple-guide-machine-learning-visualisations.html

  • 7 Steps to Mastering SQL for Data Science

    SQL is a must-know for anyone working in the data industry. Here’s how you can learn it from scratch

    https://www.kdnuggets.com/2022/04/7-steps-mastering-sql-data-science.html

  • KDnuggets Top Posts for March 2022: Why Are So Many Data Scientists Quitting Their Jobs?

    Also: 8 Free MIT Courses to Learn Data Science Online; Build a Machine Learning Web App in 5 Minutes; Best Data Science Books for Beginners; Linear vs Logistic Regression; and more!

    https://www.kdnuggets.com/2022/03/top-posts-mar-2022.html

  • How Metadata Improves Security, Quality, and Transparency

    Metadata is the data providing context about the data, more than what you see in the rows and columns. By managing your metadata, you're effectively creating an encyclopedia of your data assets.

    https://www.kdnuggets.com/2022/04/metadata-improves-security-quality-transparency.html

  • Top Data Science Projects to Build Your Skills

    Check out this list of data science project ideas that you can use to boost your skills, organized by level of expertise.

    https://www.kdnuggets.com/2022/04/top-data-science-projects-build-skills.html

  • Top Posts April 18-24: Decision Tree Algorithm, Explained

    Also: Top YouTube Channels for Learning Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Top Programming Languages and Their Uses; A Brief Introduction to Papers With Code

    https://www.kdnuggets.com/2022/04/top-posts-week-0418-0424.html

  • Top 5 Free Cloud Notebooks in 2022

    Create and collaborate on data science projects or train machine learning models using free cloud Jupyter notebook platforms. You get a hassle-free IDE experience and free compute resources.

    https://www.kdnuggets.com/2022/04/top-5-free-cloud-notebooks-2022.html

  • Optimizing Genes with a Genetic Algorithm

    In the simplest terms genetic algorithms simulate a population where each individual is a possible “solution” and let survival of the fittest do its thing.

    https://www.kdnuggets.com/2022/04/optimizing-genes-genetic-algorithm.html

  • A Community for Synthetic Data is Here and This is Why We Need It

    The first open-source platform for synthetic data is here to help educate the broader machine learning and computer vision communities on the emerging technology.

    https://www.kdnuggets.com/2022/04/community-synthetic-data-need.html

  • Qualities Hiring Managers Are Looking For in Data Scientists

    Soft skills are just as important to hiring data science managers as hard skills.

    https://www.kdnuggets.com/2022/04/qualities-hiring-managers-looking-data-scientists.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

  • AI Governance: Trends in Regulation, Soft Governance, and Industry Initiatives

    Are you ready for where AI is going? Get the latest on AI regulation and governance from two experts. Join this live webinar on May 5th at 9AM Pacific/Noon Eastern Time.

    https://www.kdnuggets.com/2022/04/truera-ai-governance-trends-regulation-soft-governance-industry-initiatives.html

  • Building a Scalable ETL with SQL + Python

    This post will look at building a modular ETL pipeline that transforms data with SQL and visualizes it with Python and R.

    https://www.kdnuggets.com/2022/04/building-scalable-etl-sql-python.html

  • Nota AI releases beta version of NetPresso Model Search, their hardware-aware autoML tool

    Nota AI has launched the beta testing for NetsPresso Model Search, a hardware-aware autoML tool which searches and finds optimized models for a target device.

    https://www.kdnuggets.com/2022/04/nota-ai-releases-beta-version-netpresso-model-search-hardwareaware-automl-tool.html

  • Machine Learning Books You Need To Read In 2022

    I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.

    https://www.kdnuggets.com/2022/04/machine-learning-books-need-read-2022.html

  • Winning The Room: Creating and Delivering an Effective Data-Driven Presentation

    Don’t miss this practical and eye-opening guide on how to present technical data and analytical results to non-technical audiences in a live setting.

    https://www.kdnuggets.com/2022/04/franks-winning-room-creating-delivering-effective-data-driven-presentation.html

  • How Has the Adoption of AI in Algorithmic Trading Affected the Finance Industry?

    Algorithmic trading is the execution of trading operations according to a given algorithm. Read on to find out more.

    https://www.kdnuggets.com/2022/04/adoption-ai-algorithmic-trading-affected-finance-industry.html

  • A Brief Introduction to Papers With Code

    One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

    https://www.kdnuggets.com/2022/04/brief-introduction-papers-code.html

  • KDnuggets News 22:n16, Apr 20: Top YouTube Channels for Learning Data Science; Data Visualization in Python with Seaborn

    Top YouTube Channels for Learning Data Science; Data Visualization in Python with Seaborn; Deploy a Machine Learning Web App with Heroku; How to Ace Data Science Assessment Test by Using Automatic EDA Tools; Will DeepMind’s AlphaCode Replace Programmers?

    https://www.kdnuggets.com/2022/n16.html

  • Join Cassie Kozyrkov, Jim Swanson, Linda Avery & other data science leaders at Rev 3

    Meet Cassie Kozyrkov — Chief Decision Scientist at Google and the latest addition to the epic speaker lineup at Rev. Use promo code “KDN” for 50% off!

    https://www.kdnuggets.com/2022/04/domino-join-data-science-leaders-rev-3.html

  • How Artificial Intelligence Can Transform Data Integration

    Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.

    https://www.kdnuggets.com/2022/04/artificial-intelligence-transform-data-integration.html

  • Prioritizing Data Science Models for Production

    Statistical performance metrics aren’t enough to pick the right models to bring to market.

    https://www.kdnuggets.com/2022/04/prioritizing-data-science-models-production.html

  • How to Determine the Best Fitting Data Distribution Using Python

    Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.

    https://www.kdnuggets.com/2021/09/determine-best-fitting-data-distribution-python.html

  • Guide to Iteratively Tuning GNNs

    This blog walks through a process for experimenting with hyperparameters, training algorithms and other parameters of Graph Neural Networks.

    https://www.kdnuggets.com/2022/04/sigopt-guide-iteratively-tuning-gnns.html

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  • 5 Different Ways to Load Data in Python

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  • With Data Privacy learn to implement technical privacy solutions and tools at scale

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

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

  • Launch your career with a Northwestern data science degree

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  • How to Start Using Natural Language Processing With PyTorch

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    https://www.kdnuggets.com/2022/04/start-natural-language-processing-pytorch.html

  • KDnuggets News, April 13: Python Libraries Data Scientists Should Know in 2022; Naïve Bayes Algorithm: Everything You Need to Know

    Python Libraries Data Scientists Should Know in 2022; Naïve Bayes Algorithm: Everything You Need to Know; Data Ingestion with Pandas: A Beginner Tutorial; Data Science Interview Guide - Part 1: The Structure; 5 Ways to Expand Your Knowledge in Data Science Beyond Online Courses

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  • Driving Better Business Decisions

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  • Top Posts April 4-10: The Complete Collection Of Data Repositories – Part 1

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  • Top 5 Reasons Why You Should Avoid a Data Science Career

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  • Python Libraries Data Scientists Should Know in 2022

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  • The Complete Collection Of Data Repositories – Part 2

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  • Naïve Bayes Algorithm: Everything You Need to Know

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    https://www.kdnuggets.com/2020/06/naive-bayes-algorithm-everything.html

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  • 15 Trending MLOps Talks You can Access for Free at ODSC East 2022

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  • 5 Ways to Expand Your Knowledge in Data Science Beyond Online Courses

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    https://www.kdnuggets.com/2022/04/5-ways-expand-knowledge-data-science-beyond-online-courses.html

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    https://www.kdnuggets.com/2022/04/qualcomm-neural-network-optimization-aimet.html

  • Data Ingestion with Pandas: A Beginner Tutorial

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    https://www.kdnuggets.com/2022/04/data-ingestion-pandas-beginner-tutorial.html

  • 4 Factors to Identify Machine Learning Solvable Problems

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    https://www.kdnuggets.com/2022/04/4-factors-identify-machine-learning-solvable-problems.html

  • KDnuggets News, April 6: 8 Free MIT Courses to Learn Data Science Online; The Complete Collection Of Data Repositories – Part 1

    8 Free MIT Courses to Learn Data Science Online; The Complete Collection Of Data Repositories - Part 1; DBSCAN Clustering Algorithm in Machine Learning; Introductory Pandas Tutorial; People Management for AI: Building High-Velocity AI Teams

    https://www.kdnuggets.com/2022/n14.html

  • Top Posts March 28 – April 3: Why Are So Many Data Scientists Quitting Their Jobs?

    Also: Decision Tree Algorithm, Explained; 8 Free MIT Courses to Learn Data Science Online; The Most Popular Intro to Programming Course From Harvard is Free!; Top Programming Languages and Their Uses

    https://www.kdnuggets.com/2022/04/top-posts-week-0328-0403.html

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