Search results for Foundation Models

Found 568 documents, 5970 searched:

• Getting Started with Scikit-learn in 5 Steps

  This tutorial offers a comprehensive hands-on walkthrough of machine learning with Scikit-learn. Readers will learn key concepts and techniques including data preprocessing, model training and evaluation, hyperparameter tuning, and compiling ensemble models for enhanced performance.

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

• Introduction to Databases in Data Science

  Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

  https://www.kdnuggets.com/introduction-to-databases-in-data-science

• 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

• Getting Started with Python for Data Science

  Back to Basics: A beginner's guide to setting up Python and understanding its role in data science.

  https://www.kdnuggets.com/getting-started-with-python-for-data-science

• 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

• KDnuggets News, August 30: 7 Projects Built with Generative AI • Beyond Numpy and Pandas: Lesser-Known Python Libraries

  7 Projects Built with Generative AI • Beyond Numpy and Pandas: Unlocking the Potential of Lesser-Known Python Libraries • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • GPT-4: 8 Models in One; The Secret is Out

  https://www.kdnuggets.com/2023/n31.html

• The Power of Collaboration: How Open-Source Projects are Advancing AI

  In this article, we explore the profound impact of open-source projects on the creation of innovative AI solutions.

  https://www.kdnuggets.com/2023/08/power-collaboration-opensource-projects-advancing-ai.html

• Data Science Has Changed, Not Died!

  Do we still need data science, or are tools such as ChatGPT taking over the majority of tasks?

  https://www.kdnuggets.com/2023/08/data-science-changed-died.html

• LangChain + Streamlit + Llama: Bringing Conversational AI to Your Local Machine

  Integrating Open Source LLMs and LangChain for Free Generative Question Answering (No API Key required).

  https://www.kdnuggets.com/2023/08/langchain-streamlit-llama-bringing-conversational-ai-local-machine.html

• Introduction to Statistical Learning, Python Edition: Free Book

  The highly anticipated Python edition of Introduction to Statistical Learning is here. And you can read it for free! Here’s everything you need to know about the book.

  https://www.kdnuggets.com/2023/07/introduction-statistical-learning-python-edition-free-book.html

• 8 Programming Languages For Data Science to Learn in 2023

  Are you interested in Data Science? This blog will help you kickstart or advance your data science career. You'll learn about the most popular programming languages data scientists use to clean, analyze, visualize, and model data.

  https://www.kdnuggets.com/2023/07/8-programming-languages-data-science-learn-2023.html

• Unlock the Power of AI – A Special Release by KDnuggets and Machine Learning Mastery

  We are excited to announce a collaboration between Machine Learning Mastery and KDnuggets, our brand new ebook, "Maximizing Productivity with ChatGPT," to enrich your Machine Learning journey.

  https://www.kdnuggets.com/2023/07/mlm-unlock-power-ai-special-release-kdnuggets-machine-learning-mastery.html

• Everything You Need About the LLM University by Cohere

  Want to kickstart a new career with LLMs? Or want to transfer to the next big thing in tech? You can do so now with the LLM University by Cohere.

  https://www.kdnuggets.com/2023/07/everything-need-llm-university-cohere.html

• The First Half of 2023: Data Science and AI Developments

  6 months of 2023 has gone by like that. Here’s a recap of what the major data science and AI advancements have been in the first half of 2023.

  https://www.kdnuggets.com/2023/07/first-half-2023-data-science-ai-developments.html

• KDnuggets News, July 12: 5 Free Courses on ChatGPT • The Power of Chain-of-Thought Prompting

  What happened in the last week: 5 Free Courses on ChatGPT • The Power of Chain-of-Thought Prompting • and much more!

  https://www.kdnuggets.com/2023/n25.html

• Exploring the Latest Trends in AI/DL: From Metaverse to Quantum Computing

  The author discusses several emerging trends in Artificial Intelligence and Deep Learning such as Metaverse and Quantum Computing.

  https://www.kdnuggets.com/2023/07/exploring-latest-trends-aidl-metaverse-quantum-computing.html

• A Guide to Data Science Project Management Methodologies

  Project management can be one of the biggest challenges in data science projects. Learn how you can ensure your project management methods are down-packed and effective.

  https://www.kdnuggets.com/2023/07/guide-data-science-project-management-methodologies.html

• Stable Diffusion: Basic Intuition Behind Generative AI

  This article provides a general overview of Stable Diffusion and focuses on building a basic understanding of how generative artificial intelligence works.

  https://www.kdnuggets.com/2023/06/stable-diffusion-basic-intuition-behind-generative-ai.html

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

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

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

• 7 Ways ChatGPT Makes You Code Better and Faster

  From project planning to producing production-ready code, ChatGPT is your trusty companion throughout the entire development process, offering valuable assistance every step of the way.

  https://www.kdnuggets.com/2023/06/7-ways-chatgpt-makes-code-better-faster.html

• Making Predictions: A Beginner’s Guide to Linear Regression in Python

  Learn everything about the most popular Machine Learning algorithm, Linear Regression, with its Mathematical Intuition and Python implementation.

  https://www.kdnuggets.com/2023/06/making-predictions-beginner-guide-linear-regression-python.html

• A Data Scientist’s Essential Guide to Exploratory Data Analysis

  Best practices, techniques, and tools to fully understand your data.

  https://www.kdnuggets.com/2023/06/data-scientist-essential-guide-exploratory-data-analysis.html

• Free Full Stack LLM Bootcamp

  Want to learn more about LLMs and build cool LLM-powered applications? This free Full Stack LLM Bootcamp is all you need!

  https://www.kdnuggets.com/2023/06/free-full-stack-llm-bootcamp.html

• Meet Gorilla: UC Berkeley and Microsoft’s API-Augmented LLM Outperforms GPT-4, Chat-GPT, and Claude

  The model is augmented with APIs from Torch Hub, TensorFlow Hub and HuggingFace.

  https://www.kdnuggets.com/2023/06/meet-gorilla-uc-berkeley-microsoft-apiaugmented-llm-outperforms-gpt4-chatgpt-claude.html

• Falcon LLM: The New King of Open-Source LLMs

  Falcon LLM, is the new large language model that has taken the crown from LLaMA.

  https://www.kdnuggets.com/2023/06/falcon-llm-new-king-llms.html

• Ten Years of AI in Review

  From image classification to chatbot therapy.

  https://www.kdnuggets.com/2023/06/ten-years-ai-review.html

• A Playbook to Scale MLOps

  MLOps teams are pressured to advance their capabilities to scale AI. We teamed up with Ford Motors to explore how to scale MLOps within an organization and how to get started.

  https://www.kdnuggets.com/2023/06/playbook-scale-mlops.html

• Essential MLOps: A Free eBook

  Check out this free ebook on the essentials of machine learning operations.

  https://www.kdnuggets.com/2023/06/essential-mlops-free-ebook.html

• The Role of Open Source Tools in Accelerating Data Science Progress

  Open source tools have had a pivotal role in the evolution of data science, from providing the foundation for analysis, to fueling the innovation that shapes today's landscape. The open source impact on data science is demonstrated best by looking at the relationship's past, present, and future.

  https://www.kdnuggets.com/2023/05/role-open-source-tools-accelerating-data-science-progress.html

• Introducing MPT-7B: A New Open-Source LLM

  An LLM Trained on 1T Tokens of Text and Code by MosaicML Foundation Series.

  https://www.kdnuggets.com/2023/05/introducing-mpt7b-new-opensource-llm.html

• Learn How to Run Alpaca-LoRA on Your Device in Just a Few Steps

  Learn about the ChatGPT-like platform Alpaca-LoRA and how to run it on your device.

  https://www.kdnuggets.com/2023/05/learn-run-alpacalora-device-steps.html

• What Is ChatGPT Doing and Why Does It Work?

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

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

• 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

• 8 Open-Source Alternative to ChatGPT and Bard

  Discover the widely-used open-source frameworks and models for creating your ChatGPT like chatbots, integrating LLMs, or launching your AI product.

  https://www.kdnuggets.com/2023/04/8-opensource-alternative-chatgpt-bard.html

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

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

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

• 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

• 3 Mistakes That Could Be Affecting the Accuracy of Your Data Analytics

  As more companies are starting to rely on big data, more companies are also misanalyzing the data that they receive. Is your company one of them? These are the top three mistakes that companies commonly make that affect the accuracy of their data analytics.

  https://www.kdnuggets.com/2023/03/3-mistakes-could-affecting-accuracy-data-analytics.html

• Top Free Data Science Online Courses for 2023

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

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

• Free TensorFlow 2.0 Complete Course

  Are you a beginner python programmer aiming to make a career in Machine Learning? If yes, then you are at the right place! This FREE tutorial will give you a solid understanding of the foundations of Machine Learning and Neural Networks using TensorFlow 2.0.

  https://www.kdnuggets.com/2023/02/free-tensorflow-20-complete-course.html

• The Importance of Probability in Data Science

  Why do you need to learn probability in data science?

  https://www.kdnuggets.com/2023/02/importance-probability-data-science.html

• Learn Data Engineering From These GitHub Repositories

  Kickstart your Data Engineering career with these curated GitHub repositories.

  https://www.kdnuggets.com/2023/02/learn-data-engineering-github-repositories.html

• 10 Free Machine Learning Courses from Top Universities

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

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

• Master Data Science with Anaconda

  As a special offer, you're receiving a 30-day FREE trial to Anaconda Notebooks and Learning. To unlock this offer, simply sign up for an Anaconda Nucleus account and use the promo code “NEWYEAR23" at checkout.

  https://www.kdnuggets.com/2023/01/anaconda-master-data-science-anaconda.html

• 5 Free Data Science Books You Must Read in 2023

  Get your hands on these gems to learn Python, data analytics, machine learning, and deep learning.

  https://www.kdnuggets.com/2023/01/5-free-data-science-books-must-read-2023.html

• Scaling Data Management Through Apache Gobblin

  Software companies can manage big data at a hyper-scale on different infrastructure stacks using Apache Gobblin.

  https://www.kdnuggets.com/2023/01/scaling-data-management-apache-gobblin.html

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

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

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

• 24 Best (and Free) Books To Understand Machine Learning

  We have compiled a list of some of the best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field.

  https://www.kdnuggets.com/2020/03/24-best-free-books-understand-machine-learning.html

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

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

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

• The Complete MLOps Study Roadmap

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

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

• The Complete Machine Learning Study Roadmap

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

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

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

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

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

• Data Science Projects That Can Help You Solve Real World Problems

  The best way to learn Data Science is by solving real-world problems with the data and building your own portfolio. In this article, we will discuss three projects that you can work on to build your portfolio and impress interviewers.

  https://www.kdnuggets.com/2022/11/data-science-projects-help-solve-real-world-problems.html

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

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

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

• The Complete Data Engineering Study Roadmap

  Everything you need to know to start your career in Data Engineering.

  https://www.kdnuggets.com/2022/11/complete-data-engineering-study-roadmap.html

• Multimodal Grounded Learning with Vision and Language

  How to enable AI models to have similar capabilities: to communicate, to ground, and to learn from language.

  https://www.kdnuggets.com/2022/11/multimodal-grounded-learning-vision-language.html

• How Much Math Do You Need in Data Science?

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

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

• Research Papers for NLP Beginners

  Read research papers on neural models, word embedding, language modeling, and attention & transformers.

  https://www.kdnuggets.com/2022/11/research-papers-nlp-beginners.html

• If I Had To Start Learning Data Science Again, How Would I Do It?

  While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.

  https://www.kdnuggets.com/2020/08/start-learning-data-science-again.html

• 15 More Free Machine Learning and Deep Learning Books

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

  https://www.kdnuggets.com/2022/11/15-free-machine-learning-deep-learning-books.html

• 15 Free Machine Learning and Deep Learning Books

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

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

• Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle

  As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.

  https://www.kdnuggets.com/2022/10/top-10-mlops-tools-optimize-manage-machine-learning-lifecycle.html

• 5 Free Courses to Master Calculus

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

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

• Mathematics for Machine Learning: The Free eBook

  Check out this free ebook covering the fundamentals of mathematics for machine learning, as well as its companion website of exercises and Jupyter notebooks.

  https://www.kdnuggets.com/2020/04/mathematics-machine-learning-book.html

• The Complete Free PyTorch Course for Deep Learning

  Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?

  https://www.kdnuggets.com/2022/10/complete-free-pytorch-course-deep-learning.html

• 7 Steps to Mastering Python for Data Science

  Here’s how you can learn to code in Python from scratch in 7 easy steps.

  https://www.kdnuggets.com/2022/06/7-steps-mastering-python-data-science.html

• Everything You’ve Ever Wanted to Know About Machine Learning

  Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike.

  https://www.kdnuggets.com/2022/09/everything-youve-ever-wanted-to-know-about-machine-learning.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 land an ML job: Advice from engineers at Meta, Google Brain, and SAP

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

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

• AI for Ukraine is a new educational project from AI HOUSE to support the Ukrainian tech community

  “AI for Ukraine” is a series of workshops and lectures held by international artificial intelligence experts to support the development of Ukraine’s tech community during the war. This is a non-commercial educational project by AI HOUSE – a company focused on building the AI/ML community in Ukraine and is part of the Roosh tech ecosystem.

  https://www.kdnuggets.com/2022/08/ai-house-ai-ukraine-new-educational-project-support-ukrainian-tech-community.html

• Where Does Data Come From?

  In this article, we will go over the top five ways to collect or receive data, whether to help optimize an AI-driven machine or simply forecast future consumer demand.

  https://www.kdnuggets.com/2022/08/data-come.html

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

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

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

• Practical Deep Learning from fast.ai is Back!

  Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.

  https://www.kdnuggets.com/2022/07/practical-deep-learning-fastai-2022.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

• 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

• 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

• 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

• 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

• 3 Ways Understanding Bayes Theorem Will Improve Your Data Science

  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

• How to Become a Machine Learning Engineer

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

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

• 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

• 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

• 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

• 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

• Best Data Science Career Tracks of 2022

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

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

• Data 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

• 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

• 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

• 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

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

  Covering topics like workflows and full-stack machine learning, these are 15 free MLOps talks coming to #ODSCEast 2022 that you can see with a free Bronze Pass.

  https://www.kdnuggets.com/2022/04/odsc-15-trending-mlops-talks-access-free-odsc-east-2022.html

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

  Let's have a look at ways we can expand our data science knowledge that go beyond online courses.

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

• 4 Factors to Identify Machine Learning Solvable Problems

  The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.

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

• What is an MLOps Engineer?

  And why you should consider becoming one.

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

• People Management for AI: Building High-Velocity AI Teams

  Practical advice for managers and directors who are looking to build AI/ML teams.

  https://www.kdnuggets.com/2022/03/people-management-ai-building-highvelocity-ai-teams.html

• 8 Free MIT Courses to Learn Data Science Online

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

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

• Machine Learning Textbook: Stochastic Processes and Simulations

  The 100 page book on stochastic processes. Published in 2022. This off-the-beaten-path machine learning tutorial is designed for busy professionals, researchers and students eager to learn and apply methods ranging from simple to advanced, in a minimum amount of time. Offered with data sets, source code, videos, spreadsheets and solved exercises.

  https://www.kdnuggets.com/2022/03/datashaping-machine-learning-textbook-stochastic-processes-simulations.html

• What’s the Difference Between Data Analysts and Data Scientists?

  This article will help you understand what data analysts and data scientists do with data in detail.

  https://www.kdnuggets.com/2022/03/difference-data-analysts-data-scientists.html

• 8 Women in AI Who Are Striving to Humanize the World

  Some exceptional female researchers and engineers are working on projects to make the world a better place with the help of AI, data science, and machine learning.

  https://www.kdnuggets.com/2021/03/8-women-ai-striving-humanize-world.html

• Data-Centric AI: The Latest Research You Need to Know

  While a vast majority of research efforts today are preoccupied solely with ML models and algorithms, the data itself tends to be secondary and is treated as fixed. This claim is potentially detrimental.

  https://www.kdnuggets.com/2022/02/datacentric-ai-latest-research-need-know.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

• How to Learn Math for Machine Learning

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

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

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

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

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

• Baidu Research Unveils Top 10 Tech Trends Forecast for 2022

  These are Baidu's top 10 tech trends for 2022, which center on three key pillars: AI core technologies, interdisciplinary & cross-domain research, and industrial & social values.

  https://www.kdnuggets.com/2022/02/baidu-research-unveils-top-10-tech-trends-forecast-2022.html

• How to Successfully Deploy Data Science Projects

  This guide will provide detailed insight into the steps you can take to successfully manage your data science projects.

  https://www.kdnuggets.com/2022/01/successfully-deploy-data-science-projects.html

• Running Redis on Google Colab

  Open source Redis is being increasingly used in Machine Learning, but running it on Colab is different compared to on your local machine or with Docker. Read on for a 2-step tutorial on how to do it.

  https://www.kdnuggets.com/2022/01/running-redis-google-colab.html

• Transfer Learning for Image Recognition and Natural Language Processing

  Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.

  https://www.kdnuggets.com/2022/01/transfer-learning-image-recognition-natural-language-processing.html

• Context, Consistency, And Collaboration Are Essential For Data Science Success

  It’s crucial to investigate the reasons why data science teams require context, consistency, and secure collaboration of their data to ensure data science success. Let's quickly examine each of these requirements so that we can better understand what data science success moving forward may look like.

  https://www.kdnuggets.com/2022/01/context-consistency-collaboration-essential-data-science-success.html

• What is Transfer Learning?

  During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject.

  https://www.kdnuggets.com/2022/01/transfer-learning.html

• 4 Reasons Why You Shouldn’t Use Machine Learning

  It's time to learn: machine learning is not a Swiss Army knife.

  https://www.kdnuggets.com/2021/12/4-reasons-shouldnt-machine-learning.html

• Hands-On Reinforcement Learning Course, Part 1

  Start your learning journey in Reinforcement Learning with this first of two part tutorial that covers the foundations of the technique with examples and Python code.

  https://www.kdnuggets.com/2021/12/hands-on-reinforcement-learning-course-part-1.html

• Top Resources for Learning Statistics for Data Science">Top Resources for Learning Statistics for Data Science

  Let’s take a look at the current state of statistics in data science, and what you can do to accelerate your learning.

  https://www.kdnuggets.com/2021/12/springboard-top-resources-learn-data-science-statistics.html

• Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2021/12/trends-ai-data-science-ml-technology.html

• Introduction to Binary Classification with PyCaret

  PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only. See how to use it for binary classification.

  https://www.kdnuggets.com/2021/12/introduction-binary-classification-pycaret.html

• What Does a Data Scientist Do?

  This guide provides you with the best possible, most direct, and clear answers to "What is data science?" and "What does a data scientist do?".

  https://www.kdnuggets.com/2021/12/what-does-a-data-scientist-do.html

• 7 of The Coolest Machine Learning Topics of 2021 at ODSC West

  At our upcoming event this November 16th-18th in San Francisco, ODSC West 2021 will feature a plethora of talks, workshops, and training sessions on machine learning topics, deep learning, NLP, MLOps, and so on. You can register now for 20% off all ticket types, or register for a free AI Expo Pass to see what some big names in AI are doing now.

  https://www.kdnuggets.com/2021/11/odsc-7-coolest-machine-learning-topics.html

• The Case for a Global Responsible AI Framework

  Public and private organizations have come out with their own set of AI principles, focusing on AI-related risks from their perspective. However, it’s imperative d=to have a global consensus on Responsible AI – based on data governance, transparency and accountability – on how to utilize and benefit from AI in a way that is both consistent and ethical.

  https://www.kdnuggets.com/2021/10/responsible-ai-framework.html

• ETL and ELT: A Guide and Market Analysis

  ETL and related techniques remain a powerful and foundational tool in the data industry. We explain what ETL is and how ETL and ELT processes have evolved over the years, with a close eye toward how third-generation ETL tools are about to disrupt standard data processing practices.

  https://www.kdnuggets.com/2021/10/etl-elt-guide-market-analysis.html

• How to Build Data Frameworks with Open Source Tools to Enhance Agility and Security

  Let’s take a look at how to harness open source tools to build your data frameworks.

  https://www.kdnuggets.com/2021/10/build-data-frameworks-open-source-tools-agility-security.html

• Exclusive: OpenAI summarizes KDnuggets">Exclusive: OpenAI summarizes KDnuggets

  OpenAI has recently done amazing work summarizing full-length books. We have asked OpenAI to summarize two recent KDnuggets posts, and the results have a very human-like quality. Only the last line betrays the inhuman intelligence at work.

  https://www.kdnuggets.com/2021/10/exclusive-openai-summarizes-kdnuggets.html

• Training BPE, WordPiece, and Unigram Tokenizers from Scratch using Hugging Face

  Comparing the tokens generated by SOTA tokenization algorithms using Hugging Face's tokenizers package.

  https://www.kdnuggets.com/2021/10/bpe-wordpiece-unigram-tokenizers-using-hugging-face.html

• 11 Most Practical Data Science Skills for 2022

  While the field of data science continues to evolve with exciting new progress in analytical approaches and machine learning, there remain a core set of skills that are foundational for all general practitioners and specialists, especially those who want to be employable with full-stack capabilities.

  https://www.kdnuggets.com/2021/10/11-most-practical-data-science-skills-2022.html

• How our Obsession with Algorithms Broke Computer Vision: And how Synthetic Computer Vision can fix it

  Deep Learning radically improved Machine Learning as a whole. The Data-Centric revolution is about to do the same. In this post, we’ll take a look at the pitfalls of mainstream Computer Vision (CV) and discuss why Synthetic Computer Vision (SCV) is the future.

  https://www.kdnuggets.com/2021/10/obsession-algorithms-broke-computer-vision.html

• The 20 Python Packages You Need For Machine Learning and Data Science">The 20 Python Packages You Need For Machine Learning and Data Science

  Do you do Python? Do you do data science and machine learning? Then, you need to do these crucial Python libraries that enable nearly all you will want to do.

  https://www.kdnuggets.com/2021/10/20-python-packages.html

• Scaling human oversight of AI systems for difficult tasks – OpenAI approach

  The foundational idea of Artificial Intelligence is that it should demonstrate human-level intelligence. So, unless a model can perform as a human might do, its intended purpose is missed. Here, recent OpenAI research into full-length book summarization focuses on generating results that make sense to humans with state-of-the-art results that leverage scalable AI-enhanced human-in-the-loop feedback.

  https://www.kdnuggets.com/2021/10/openai-scaling-human-oversight-ai-systems.html

• The Evolution of Tokenization – Byte Pair Encoding in NLP

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

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

• Data science SQL interview questions from top tech firms">Data science SQL interview questions from top tech firms

  As a data scientist, there is one thing you really need to understand and know how to handle: data. With SQL being a foundational technical approach for working with data, it should not be surprising that the top tech companies will ask about your SQL skills during an interview. Here, we cover the key concepts tested so you can best prepare for your next data science interview.

  https://www.kdnuggets.com/2021/10/data-science-sql-interview-questions.html

• MLOps and ModelOps: What’s the Difference and Why it Matters

  These two terms are often used interchangeably. However, there are key distinctions between the functionality and features each provide, and the AI value and scalability at your organization depend on them.

  https://www.kdnuggets.com/2021/09/mlops-modelops-difference.html

• Building a Structured Financial Newsfeed Using Python, SpaCy and Streamlit

  Getting started with NLP by building a Named Entity Recognition(NER) application.

  https://www.kdnuggets.com/2021/09/-structured-financial-newsfeed-using-python-spacy-and-streamlit.html

• A Breakdown of Deep Learning Frameworks

  Deep Learning continues to evolve as one of the most powerful techniques in the AI toolbox. Many software packages exist today to support the development of models, and we highlight important options available with key qualities and differentiators to help you select the most appropriate for your needs.

  https://www.kdnuggets.com/2021/09/a-breakdown-deep-learning-frameworks.html

• How to be a Data Scientist without a STEM degree">How to be a Data Scientist without a STEM degree

  Breaking into data science as a professional does require technical skills, a well-honed knack for problem-solving, and a willingness to swim in oceans of data. Maybe you are coming in as a career change or ready to take a new learning path in life--without having previously earned an advanced degree in a STEM field. Follow these tips to find your way into this high-demand and interesting field.

  https://www.kdnuggets.com/2021/09/data-scientist-without-stem-degree.html