Search results for cost function

Found 970 documents, 5944 searched:

• Building a GPU Machine vs. Using the GPU Cloud

  The article examines the pros and cons of building an on-premise GPU machine versus using a GPU cloud service for projects involving deep learning and artificial intelligence, analyzing factors like cost, performance, operations, and scalability.

  https://www.kdnuggets.com/building-a-gpu-machine-vs-using-the-gpu-cloud

• How Big Data Is Saving Lives in Real Time: IoV Data Analytics Helps Prevent Accidents

  This posts talks about what needs to be taken care of in IoV data analysis, and shows the difference between a near real-time analytic platform and an actual real-time analytic platform with a real-world example.

  https://www.kdnuggets.com/how-big-data-is-saving-lives-in-real-time-iov-data-analytics-helps-prevent-accidents

• 7 Essential Data Quality Checks with Pandas

  Learn how to perform data quality checks using pandas. From detecting missing records to outliers, inconsistent data entry and more.

  https://www.kdnuggets.com/7-essential-data-quality-checks-with-pandas

• An Honest Comparison of Open Source Vector Databases

  We will explore their use cases, key features, performance metrics, supported programming languages, and more to provide a comprehensive and unbiased overview of each database.

  https://www.kdnuggets.com/an-honest-comparison-of-open-source-vector-databases

• Novice to Ninja: Why Your Python Skills Matter in Data Science

  As a data scientist, is it worthwhile leveling up your Python skills? Dive into code comparisons across expertise levels & discover if "good enough" is really enough.

  https://www.kdnuggets.com/novice-to-ninja-why-your-python-skills-matter-in-data-science

• Data Warehouses vs. Data Lakes vs. Data Marts: Need Help Deciding?

  A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

  https://www.kdnuggets.com/data-warehouses-vs-data-lakes-vs-data-marts-need-help-deciding

• Drag, Drop, Analyze: The Rise of No-Code Data Science

  No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.

  https://www.kdnuggets.com/drag-drop-analyze-the-rise-of-nocode-data-science

• The Top 5 Cloud Machine Learning Platforms & Tools

  What are the top 5 cloud machine learning platforms in the market today. Our list will help provide some vital insights into which platform might best cater to your specific machine learning needs. See what KDnuggets recommends.

  https://www.kdnuggets.com/the-top-5-cloud-machine-learning-platforms-tools

• Greening AI: 7 Strategies to Make Applications More Sustainable

  The article delves into a comprehensive methodology that sheds light on how to accurately estimate the carbon footprint associated with AI applications. It explains the environmental impact of AI, a crucial consideration in today's world.

  https://www.kdnuggets.com/greening-ai-7-strategies-to-make-applications-more-sustainable

• Top Companies in India to Consider for Employment

  If you’re looking for a job, want to shift careers, or start a new chapter and currently reside in India. Check out these top 7 companies to consider for employment in India for 2023/24.

  https://www.kdnuggets.com/top-companies-in-india-to-consider-for-employment

• 7 Best Cloud Database Platforms

  Cloud databases have made it easier and cheaper to develop enterprise-level applications, offering flexibility, convenience, and standard database functionality. See what KDnuggets recommends.

  https://www.kdnuggets.com/7-best-cloud-database-platforms

• The Top 5 Data Management Tools For Your Projects

  See what KDnuggets is recommending for the top 5 cutting-edge tools for cloud, ETL, transformation, master data management, and visualization.

  https://www.kdnuggets.com/top-5-data-management-tools-for-your-projects

• Getting Started with Google Cloud Platform in 5 Steps

  Explore the essentials of Google Cloud Platform for data science and ML, from account setup to model deployment, with hands-on project examples.

  https://www.kdnuggets.com/5-steps-google-cloud-platform

• Getting Started with PyTorch in 5 Steps

  This tutorial provides an in-depth introduction to machine learning using PyTorch and its high-level wrapper, PyTorch Lightning. The article covers essential steps from installation to advanced topics, offering a hands-on approach to building and training neural networks, and emphasizing the benefits of using Lightning.

  https://www.kdnuggets.com/5-steps-getting-started-pytorch

• The Data Maturity Pyramid: From Reporting to a Proactive Intelligent Data Platform

  This article describes the data maturity pyramid and its various levels, from simple reporting to AI-ready data platforms. It emphasizes the importance of data for business and illustrates how data platforms serve as the driving force behind AI.

  https://www.kdnuggets.com/the-data-maturity-pyramid-from-reporting-to-a-proactive-intelligent-data-platform

• How to Identify Missing Data in Time-Series Datasets

  Using exploratory data analysis to wnderstand missing data gaps.

  https://www.kdnuggets.com/how-to-identify-missing-data-in-timeseries-datasets

• Understanding Supervised Learning: Theory and Overview

  This article covers a high-level overview of popular supervised learning algorithms and is curated specially for beginners.

  https://www.kdnuggets.com/understanding-supervised-learning-theory-and-overview

• The 5 Best AI Tools For Maximizing Productivity

  KDnuggets reviews a diverse set of 5 AI tools to help maximize your productivity. Have a look and see what our recommendations include.

  https://www.kdnuggets.com/the-5-best-ai-tools-for-maximizing-productivity

• Profiling Python Code Using timeit and cProfile

  An introductory guide to profiling Python code using the timeit and cProfile modules.

  https://www.kdnuggets.com/profiling-python-code-using-timeit-and-cprofile

• Getting Started with SQL in 5 Steps

  This comprehensive SQL tutorial covers everything from setting up your SQL environment to mastering advanced concepts like joins, subqueries, and optimizing query performance. With step-by-step examples, this guide is perfect for beginners looking to enhance their data management skills.

  https://www.kdnuggets.com/5-steps-getting-started-with-sql

• Building Microservice for Multi-Chat Backends Using Llama and ChatGPT

  As LLMs continue to evolve, integrating multiple models or switching between them has become increasingly challenging. This article suggests a Microservice approach to separate model integration from business applications and simplify the process.

  https://www.kdnuggets.com/building-microservice-for-multichat-backends-using-llama-and-chatgpt

• Data Visualization: Theory and Techniques

  Unlocking the secrets of how to observe our data-driven world.

  https://www.kdnuggets.com/data-visualization-theory-and-techniques

• Who Will Make Money from the Generative AI Gold Rush?

  Buckle up for the Generative AI gold rush! Will BigTech rule with its picks and shovels? Which startups will strike it rich? Will “copilot for X” be the business strategy to hit pay dirt? How can startups dig moats to keep out other prospectors? And will the US once again have the richest gold seams?

  https://www.kdnuggets.com/2023/08/make-money-generative-ai-gold-rush.html

• Data Validation for PySpark Applications using Pandera

  New features and concepts.

  https://www.kdnuggets.com/2023/08/data-validation-pyspark-applications-pandera.html

• GPT-4: 8 Models in One; The Secret is Out

  GPT4 kept the model secret to avoid competition, now the secret is out!

  https://www.kdnuggets.com/2023/08/gpt4-8-models-one-secret.html

• Python Vector Databases and Vector Indexes: Architecting LLM Apps

  Vector databases enable fast similarity search and scale across data points. For LLM apps, vector indexes can simplify architecture over full vector databases by attaching vectors to existing storage. Choosing indexes vs databases depends on specialized needs, existing infrastructure, and broader enterprise requirements.

  https://www.kdnuggets.com/2023/08/python-vector-databases-vector-indexes-architecting-llm-apps.html

• A Comprehensive Guide to MLOps

  Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

  https://www.kdnuggets.com/2023/08/comprehensive-guide-mlops.html

• This Week in AI, August 7: Generative AI Comes to Jupyter & Stack Overflow • ChatGPT Updates

  "This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

  https://www.kdnuggets.com/2023/mm/this-week-ai-2023-08-07.html

• CDC Data Replication: Techniques, Tradeoffs, Insights

  The author discusses common use cases for CDC data replication, implementation techniques and their tradeoffs, and firsthand insights.

  https://www.kdnuggets.com/2023/08/cdc-data-replication-techniques-tradeoffs-insights.html

• SQL For Data Science: Understanding and Leveraging Joins

  Learn how to use different joins in SQL and how this helps you in data science.

  https://www.kdnuggets.com/2023/08/sql-data-science-understanding-leveraging-joins.html

• This Week in AI, July 31: AI Titans Pledge Responsible Innovation • The Beluga Invasion

  "This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

  https://www.kdnuggets.com/2023/07/this-week-ai-2023-07-31.html

• Mastering GPUs: A Beginner’s Guide to GPU-Accelerated DataFrames in Python

  RAPIDS cuDF, with its pandas-like API, enables data scientists and engineers to quickly tap into the immense potential of parallel computing on GPUs–with just a few code line changes. Read on for more.

  https://www.kdnuggets.com/2023/07/mastering-gpus-beginners-guide-gpu-accelerated-dataframes-python.html

• Exploring the Power and Limitations of GPT-4

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

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

• Will 300 million Jobs really be Exposed or Lost to AI Replacement?

  The authors of the Goldman Sachs report suggest that 300 million jobs might be affected by AI replacement. Here’s why reason to be both cautious and hopeful.

  https://www.kdnuggets.com/2023/07/300-million-jobs-really-exposed-lost-ai-replacement.html

• I Used ChatGPT (Every Day) for 5 Months. Here Are Some Hidden Gems That Will Change Your Life

  Transform your life with these ChatGPT’s hidden gems.

  https://www.kdnuggets.com/2023/07/used-chatgpt-every-day-5-months-hidden-gems-change-life.html

• How to Build a Streaming Semi-structured Analytics Platform on Snowflake

  Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume. At the same time analytics layer also needs to be created so as to generate value from it.

  https://www.kdnuggets.com/2023/07/build-streaming-semistructured-analytics-platform-snowflake.html

• A Practical Guide to Transfer Learning using PyTorch

  In this article, we’ll learn to adapt pre-trained models to custom classification tasks using a technique called transfer learning. We will demonstrate it for an image classification task using PyTorch, and compare transfer learning on 3 pre-trained models, Vgg16, ResNet50, and ResNet152.

  https://www.kdnuggets.com/2023/06/practical-guide-transfer-learning-pytorch.html

• A Comprehensive Guide to Convolutional Neural Networks

  Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision.

  https://www.kdnuggets.com/2023/06/comprehensive-guide-convolutional-neural-networks.html

• There and Back Again… a RAPIDS Tale

  This blog post explores the challenges of acquiring sufficient data and the limitations posed by biased datasets using RapidsAI cuDF.

  https://www.kdnuggets.com/2023/06/back-again-rapids-tale.html

• How to Optimize SQL Queries for Faster Data Retrieval

  Today, we’ll talk about why SQL query optimization is important and which techniques can be used to optimize it.

  https://www.kdnuggets.com/2023/06/optimize-sql-queries-faster-data-retrieval.html

• Advanced Feature Selection Techniques for Machine Learning Models

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

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

• DINOv2: Self-Supervised Computer Vision Models by Meta AI

  Unleashing the Potential of Computer Vision with DINOv2: A Groundbreaking Self-Supervised Model by Meta AI.

  https://www.kdnuggets.com/2023/05/dinov2-selfsupervised-computer-vision-models-meta-ai.html

• Web LLM: Bring LLM Chatbots to the Browser

  Wouldn't it be cool if you can run LLMs and LLM chatbots natively in your browser? Let's learn more about the Web LLM project, an interesting step in this direction.

  https://www.kdnuggets.com/2023/05/webllm-bring-llm-chatbots-browser.html

• How to Efficiently Scale Data Science Projects with Cloud Computing

  This article discusses the key components that contribute to the successful scaling of data science projects. It covers how to collect data using APIs, how to store data in the cloud, how to clean and process data, how to visualize data, and how to harness the power of data visualization through interactive dashboards.

  https://www.kdnuggets.com/2023/05/efficiently-scale-data-science-projects-cloud-computing.html

• 5 ChatGPT Features to Boost your Daily Work

  And how to enhance your code quality using it.

  https://www.kdnuggets.com/2023/05/5-chatgpt-features-boost-daily-work.html

• Breaking Down AutoGPT

  AutoGPT has taken the world by storm and has even surpassed ChatGPT itself. So, get ready to dive into the exciting world of Auto-GPT.

  https://www.kdnuggets.com/2023/05/breaking-autogpt.html

• Mojo Lang: The New Programming Language

  Introducing Mojo Lang, the new programming language designed as a superset of Python.

  https://www.kdnuggets.com/2023/05/mojo-lang-new-programming-language.html

• The Role of the MLOps Engineer in an Organization

  Interested in becoming an MLOps engineer? Start today by learning more about the MLOps engineer role.

  https://www.kdnuggets.com/2023/04/role-mlops-engineer-organization.html

• 11 Best Practices of Cloud and Data Migration to AWS Cloud

  list of Best Practices compiled from our learnings during our migration journey to the AWS cloud.

  https://www.kdnuggets.com/2023/04/11-best-practices-cloud-data-migration-aws-cloud.html

• Introducing TPU v4: Googles Cutting Edge Supercomputer for Large Language Models

  TPU v4: Google's fifth domain-specific architecture and third supercomputer for machine learning models.

  https://www.kdnuggets.com/2023/04/introducing-tpu-v4-googles-cutting-edge-supercomputer-large-language-models.html

• Text Summarization Development: A Python Tutorial with GPT-3.5

  Utilizing the power of GPT-3.5 to develop a simple summarize generator application.

  https://www.kdnuggets.com/2023/04/text-summarization-development-python-tutorial-gpt35.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

• Automation in Data Science Workflows

  Will data science, known for replacing innately iterative work with automation, become automated? Will data scientists’ jobs be automated too?

  https://www.kdnuggets.com/2023/03/automation-data-science-workflows.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

• What’s New in SAS Certification?

  Now is as great a time as ever to learn something new. Whether you’re a beginner or expert in the field of data science, here is everything you need to know about what’s going on in SAS Certification right now.

  https://www.kdnuggets.com/2023/03/sas-whats-new-sas-certification.html

• 4 Ways to Generate Passive Income Using ChatGPT

  Discover how you can leverage ChatGPT to generate passive income.

  https://www.kdnuggets.com/2023/03/4-ways-generate-passive-income-chatgpt.html

• Key Factors Affecting the Time to Insights

  This report provides an overview of the key factors affecting the time to insights, including the benefits of BI and the need for tailored solutions.

  https://www.kdnuggets.com/2023/03/key-factors-affecting-time-insights.html

• 3 Hard Python Coding Interview Questions For Data Science

  No mercy today! I have three hard-level Python coding interview questions that require you to be on top of your game in Python and solve business problems.

  https://www.kdnuggets.com/2023/03/3-hard-python-coding-interview-questions-data-science.html

• A List of 7 Best Data Modeling Tools for 2023

  Learn about data modeling tools to create, design and manage data models, allowing data scientists to access and use them more quickly.

  https://www.kdnuggets.com/2023/03/list-7-best-data-modeling-tools-2023.html

• Must Read NLP Papers from the Last 12 Months

  The era of large language models is here now.

  https://www.kdnuggets.com/2023/03/must-read-nlp-papers-last-12-months.html

• Essential A/B Testing Course for Data Science

  The course explains the core foundations and experiment design process for A/B testing, along with the case studies.

  https://www.kdnuggets.com/2023/02/essential-ab-testing-course-data-science.html

• What’s With All the Layoffs in Tech?

  Answering all the questions that you've been asking about the layoffs in the tech industry.

  https://www.kdnuggets.com/2023/02/layoffs-tech.html

• Why Data Scientists Expect Flawed Advice From Google Bard

  First reported by Reuters, Bard returned an inaccurate response, leading to a drop in Alphabet’s (GOOGL) stock price by as much as 9% on the day of the demonstration. For many in the data community, this did not come as a surprise; here’s why.

  https://www.kdnuggets.com/2023/02/data-scientists-expect-flawed-advice-google-bard.html

• Qdrant: Open-Source Vector Search Engine with Managed Cloud Platform

  Qdrant open-source vector similarity search engine is now available in the cloud. The cloud platform for Qdrant offers business users cost-efficient, fully managed service in addition to powerful features of their open-source vector search database.

  https://www.kdnuggets.com/2023/02/qdrant-open-source-vector-search-engine-managed-cloud-platform.html

• Building a Recommender System for Amazon Products with Python

  I built a recommender system for Amazon’s electronics category.

  https://www.kdnuggets.com/2023/02/building-recommender-system-amazon-products-python.html

• Linear Programming 101 for Data Scientists

  This post provides an overview of topics in linear programming, history, and recent advances, software packages, common problem specifications, and a case study using Toronto shelters data and the PuLP software package.

  https://www.kdnuggets.com/2023/02/linear-programming-101-data-scientists.html

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

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

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

• Overcome Your Data Quality Issues with Great Expectations

  Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.

  https://www.kdnuggets.com/2023/01/overcome-data-quality-issues-great-expectations.html

• Google Data Analytics Certification Review for 2023

  What is the Google Data Analytics Certification? And, more importantly, is it still worth getting it in 2023?

  https://www.kdnuggets.com/2023/01/google-data-analytics-certification-review-2023.html

• A Solid Plan for Learning Data Science, Machine Learning, and Deep Learning

  Check out this solid plan for learning Data Science, Machine Learning, and Deep Learning. The entire plan is currently available at no cost to KDnuggets readers.

  https://www.kdnuggets.com/2023/01/mwiti-solid-plan-learning-data-science-machine-learning-deep-learning.html

• Key Data Science, Machine Learning, AI and Analytics Developments of 2022

  It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

  https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

• Fake It Till You Make It: Generating Realistic Synthetic Customer Datasets

  Finding the data you need is hard. So why not fake it?

  https://www.kdnuggets.com/2022/01/fake-realistic-synthetic-customer-datasets-projects.html

• How to Create a Sampling Plan for Your Data Project

  When simple random sampling is not that simple.

  https://www.kdnuggets.com/2022/11/create-sampling-plan-data-project.html

• The Ultimate Guide To Different Word Embedding Techniques In NLP

  A machine can only understand numbers. As a result, converting text to numbers, called embedding text, is an actively researched topic. In this article, we review different word embedding techniques for converting text into vectors.

  https://www.kdnuggets.com/2021/11/guide-word-embedding-techniques-nlp.html

• KDnuggets News, November 2: The Current State of Data Science Careers • 15 Free Machine Learning and Deep Learning Books

  The Current State of Data Science Careers • 15 Free Machine Learning and Deep Learning Books • How to Make Python Code Run Incredibly Fast • Machine Learning on the Edge • Don't Become a Commoditized Data Scientist

  https://www.kdnuggets.com/2022/n43.html

• Is OLAP Dead?

  OLAP enables citizen analysts to quickly, efficiently, and cost-effectively uncover new business insights at a reduced time-to-value.

  https://www.kdnuggets.com/2022/10/olap-dead.html

• Why TinyML Cases Are Becoming Popular?

  This article will provide an overview of what TinyML is, its use cases, and why it is becoming more popular.

  https://www.kdnuggets.com/2022/10/tinyml-cases-becoming-popular.html

• 10 Essential SQL Commands for Data Science

  Learn SQL commands for filtering, string operations, alias, joining tables, if-else statements, and grouping.

  https://www.kdnuggets.com/2022/10/10-essential-sql-commands-data-science.html

• 25 Advanced SQL Interview Questions for Data Scientists

  Check out this collection of advanced SQL interview questions with answers.

  https://www.kdnuggets.com/2022/10/25-advanced-sql-interview-questions-data-scientists.html

• 5 Free Courses to Master Linear Algebra

  Linear Algebra is an important subfield of mathematics and forms a core foundation of machine learning algorithms. The post shares five free courses to master the concepts of linear algebra.

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

• 3 Valuable Skills That Have Doubled My Income as a Data Scientist

  In a year, I have learned three essential skills that have opened a new world of possibilities.

  https://www.kdnuggets.com/2022/10/3-valuable-skills-doubled-income-data-scientist.html

• A Beginner’s Guide to Web Scraping Using Python

  This article serves as a beginner’s guide to web scraping using Python and looks at the different frameworks and methods you can use, outlined in simple terms.

  https://www.kdnuggets.com/2022/10/beginner-guide-web-scraping-python.html

• Debunking the Myth of the Citizen Data Scientist

  While there are some benefits to having citizen data scientists, they are no silver bullet – and they certainly aren’t a replacement for true data scientists.

  https://www.kdnuggets.com/2022/10/debunking-myth-citizen-data-scientist.html

• 7 Steps to Mastering Machine Learning with Python in 2022

  Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.

  https://www.kdnuggets.com/2022/02/7-steps-mastering-machine-learning-python.html

• Top 5 Machine Learning Practices Recommended by Experts

  This article is intended to help beginners improve their model structure by listing the best practices recommended by machine learning experts.

  https://www.kdnuggets.com/2022/09/top-5-machine-learning-practices-recommended-experts.html

• More Performance Evaluation Metrics for Classification Problems You Should Know

  When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That's where these additional performance evaluations come into play to help tease out more meaning from your model.

  https://www.kdnuggets.com/2020/04/performance-evaluation-metrics-classification.html

• Data Governance and Observability, Explained

  Let’s dive in and understand the ins and outs of data observability and data governance - the two keys to a more robust data foundation.

  https://www.kdnuggets.com/2022/08/data-governance-observability-explained.html

• How to Better Leverage Data Science for Business Growth

  Is data science for you? And if it is, how can you use it to grow your business?

  https://www.kdnuggets.com/2022/08/better-leverage-data-science-business-growth.html

• The Importance of Experiment Design in Data Science

  Do you feel overwhelmed by the sheer number of ideas that you could try while building a machine learning pipeline? You can not take the liberty of trying all possible ways to arrive at a solution - hence we discuss the importance of experiment design in data science projects.

  https://www.kdnuggets.com/2022/08/importance-experiment-design-data-science.html

• Top Posts August 1-7: Most In-demand Artificial Intelligence Skills To Learn In 2022

  Most In-demand Artificial Intelligence Skills To Learn In 2022 • The 5 Hardest Things to Do in SQL • 10 Most Used Tableau Functions • Decision Trees vs Random Forests, Explained • Decision Tree Algorithm, Explained

  https://www.kdnuggets.com/2022/08/top-posts-week-0801-0807.html

• Full Stack Everything? Organizational Intersections Between Data Science, Dev & Tech

  Breakthrough value is found when teams collaborate at their intersections to come up with innovative solutions.

  https://www.kdnuggets.com/2022/08/full-stack-everything-organizational-intersections-data-science-dev-tech.html

• How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services

  Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.

  https://www.kdnuggets.com/2022/07/ml-model-explainability-accelerates-ai-adoption-journey-financial-services.html

• Best Practices for Creating Domain-Specific AI Models

  Here are some best practices and techniques for domain-specific model adaptation that worked for us time and again.

  https://www.kdnuggets.com/2022/07/best-practices-creating-domainspecific-ai-models.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

• The AIoT Revolution: How AI and IoT Are Transforming Our World

  The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

  https://www.kdnuggets.com/2022/07/aiot-revolution-ai-iot-transforming-world.html

• An Introduction to Hill Climbing Algorithm in AI

  Hill climbing is basically a search technique or informed search technique having different weights based on real numbers assigned to different nodes, branches, and goals in a path.

  https://www.kdnuggets.com/2022/07/introduction-hill-climbing-algorithm-ai.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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• Data Visualization in Python with Seaborn

  Learn to create beautiful charts in Python using the Seaborn library.

  https://www.kdnuggets.com/2022/04/data-visualization-python-seaborn.html

• Uncertainty Quantification in Artificial Intelligence-based Systems

  The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.

  https://www.kdnuggets.com/2022/04/uncertainty-quantification-artificial-intelligencebased-systems.html

• MLOps Is a Mess But That’s to be Expected

  In this post, I want to focus the discussion about the state of machine learning operations (MLOps) today, where we are, where we are going.

  https://www.kdnuggets.com/2022/03/mlops-mess-expected.html

• The Most Popular Intro to Programming Course From Harvard is Free!

  CS50's Introduction to Computer Science has the highest enrollment on Harvard's campus... and is free to anyone interested in taking it!

  https://www.kdnuggets.com/2022/03/popular-intro-programming-course-harvard-free.html

• Feature Stores for Real-time AI & Machine Learning

  Real-time AI/ML is on the rise and feature stores are key to successfully deploying them. Read on to see how the choice of online store and the feature store architecture play important roles in determining its performance and cost.

  https://www.kdnuggets.com/2022/03/feature-stores-realtime-ai-machine-learning.html

• How to Generate Synthetic Tabular Dataset

  Check out this article on using CTGANs to create synthetic datasets for reducing privacy risks, training and testing machine learning models, and developing data-centric AI products.

  https://www.kdnuggets.com/2022/03/generate-tabular-synthetic-dataset.html

• Open Data and Why it is Necessary

  Open data improves accessibility and encourages universal participation, which allows companies to create cutting-edge, data-driven technologies and make the world a better place.

  https://www.kdnuggets.com/2022/03/open-data-necessary.html

• Hybrid AI Will Go Mainstream in 2022

  Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.

  https://www.kdnuggets.com/2022/03/hybrid-ai-go-mainstream-2022.html

• How to Create a Dataset for Machine Learning

  Datasets - properly curated and labeled - remain a scarce resource. What can be done about this?

  https://www.kdnuggets.com/2022/02/create-dataset-machine-learning.html

• 4 Ways Hackers Are Using Data Science to Steal Billions

  The best way to stop your enemy is to know your enemy. Here are four ways hackers are using data science - and how they can be stopped.

  https://www.kdnuggets.com/2022/02/4-ways-hackers-data-science-steal-billions.html

• An Easy Guide to Choose the Right Machine Learning Algorithm

  There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

  https://www.kdnuggets.com/2020/05/guide-choose-right-machine-learning-algorithm.html

• From Oracle to Databases for AI: The Evolution of Data Storage

  From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.

  https://www.kdnuggets.com/2022/02/oracle-databases-ai-evolution-data-storage.html

• Common Data Problems (and Solutions)

  Let’s have a look into some of the common problems with data and the solutions for them.

  https://www.kdnuggets.com/2022/02/common-data-problems-solutions.html

• 5 Ways to Apply AI to Small Data Sets

  It is better to use AI algorithms on small data sets for results free of human errors and false results when applied correctly. Here are some methods to apply AI to small data sets.

  https://www.kdnuggets.com/2022/02/5-ways-apply-ai-small-data-sets.html

• The Not-so-Sexy SQL Concepts to Make You Stand Out

  Databases are the houses of our data and data scientists HAVE TO HAVE A KEY! In this article, I discuss some lesser known concepts of SQL that data scientists do not familiarize themselves with.

  https://www.kdnuggets.com/2022/02/not-so-sexy-sql-concepts-stand-out.html

• Classifying Long Text Documents Using BERT

  Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”. How can we use BERT to classify long text documents?

  https://www.kdnuggets.com/2022/02/classifying-long-text-documents-bert.html

• How to Answer Data Science Coding Interview Questions

  Use this checklist to make sure your answer to the data science coding interview questions is on the right track.

  https://www.kdnuggets.com/2022/01/answer-data-science-coding-interview-questions.html

• 6 Data Science Technologies You Need to Build Your Supply Chain Pipeline

  Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.

  https://www.kdnuggets.com/2022/01/6-data-science-technologies-need-build-supply-chain-pipeline.html