Search results for Reinforcement Learning

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• How to Become a (Type A) Data Scientist">How to Become a (Type A) Data Scientist

  This post outlines the difference between a Type A and Type B data scientist, and prescribes a learning path on becoming a Type A.

  https://www.kdnuggets.com/2016/08/become-type-a-data-scientist.html

• Data Science for Beginners 1: The 5 questions data science answers

  A series of videos and write-ups covering the basics of data science for beginners. This first video is about the kinds of questions that data science can answer.

  https://www.kdnuggets.com/2016/07/brohrer-data-science-beginners-1-5-questions.html

• The Hard Problems AI Can’t (Yet) Touch

  It's tempting to consider the progress of AI as though it were a single monolithic entity, advancing towards human intelligence on all fronts. But today's machine learning only addresses problems with simple, easily quantified objectives

  https://www.kdnuggets.com/2016/07/hard-problems-ai-cant-yet-touch.html

• The Data Science Puzzle, Explained

  The puzzle of data science is examined through the relationship between several key concepts in the data science realm. As we will see, far from being concrete concepts etched in stone, divergent opinions are inevitable; this is but another opinion to consider.

  https://www.kdnuggets.com/2016/03/data-science-puzzle-explained.html

• Research Leaders on Data Mining, Data Science and Big Data key advances, top trends

  Research Leaders in Data Science and Big Data reflect on the most important research advances in 2015 and the key trends expected to dominate throughout 2016.

  https://www.kdnuggets.com/2016/01/research-leaders-data-science-big-data-top-trends.html

• What questions can data science answer?

  There are only five questions machine learning can answer: Is this A or B? Is this weird? How much/how many? How is it organized? What should I do next? We examine these questions in detail and what it implies for data science.

  https://www.kdnuggets.com/2016/01/questions-data-science-answer.html

• More Free Data Mining, Data Science Books and Resources

  More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics and statistics.

  https://www.kdnuggets.com/2015/03/free-data-mining-data-science-books-resources.html

• LangChain 101: Build Your Own GPT-Powered Applications

  LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.

  https://www.kdnuggets.com/2023/04/langchain-101-build-gptpowered-applications.html

• Top Free Courses on Large Language Models

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

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

• 5 Reasons Why You Need Synthetic Data

  Collecting and labeling data in the real world can be time-consuming and expensive. This data can also come with quality, diversity, and quantity issues. Fortunately, problems like these can be helped with synthetic data.

  https://www.kdnuggets.com/2023/02/5-reasons-need-synthetic-data.html

• Explaining Explainable AI for Conversations

  Something is missing in artificial intelligence – trust.

  https://www.kdnuggets.com/2022/10/explaining-explainable-ai-conversations.html

• Data science certification – why it is important and where to get it?

  Data science jobs are one of most sought after and in-demand jobs in the IT industry right now. In order to get into this field and get these data science jobs, certification is needed and that is widely discussed below.

  https://www.kdnuggets.com/2020/11/greatlearning-data-science-certification.html

• 13 must-read papers from AI experts">13 must-read papers from AI experts

  What research articles do top AI experts in the field recommend? Find out which ones and why, then be sure to add each to your reading to do list.

  https://www.kdnuggets.com/2020/05/13-must-read-papers-ai-experts.html

• Simple Question Answering (QA) Systems That Use Text Similarity Detection in Python

  How exactly are smart algorithms able to engage and communicate with us like humans? The answer lies in Question Answering systems that are built on a foundation of Machine Learning and Natural Language Processing. Let's build one here.

  https://www.kdnuggets.com/2020/04/simple-question-answering-systems-text-similarity-python.html

• How to Visualize Data in Python (and R)

  Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.

  https://www.kdnuggets.com/2019/11/visualize-data-python-and-r.html

• 7 Steps to Mastering SQL for Data Science — 2019 Edition">7 Steps to Mastering SQL for Data Science — 2019 Edition

  Follow these updated 7 steps to go from SQL data science newbie to practitioner in a hurry. We consider only the necessary concepts and skills, and provide quality resources for each.

  https://www.kdnuggets.com/2019/05/7-steps-mastering-sql-data-science-2019-edition.html

• Deep Compression: Optimization Techniques for Inference & Efficiency

  We explain deep compression for improved inference efficiency, mobile applications, and regularization as technology cozies up to the physical limits of Moore's law.

  https://www.kdnuggets.com/2019/03/deep-compression-optimization-techniques-inference-efficiency.html

• Practical Apache Spark in 10 Minutes

  Check out this series of articles on Apache Spark. Each part is a 10 minute tutorial on a particular Apache Spark topic. Read on to get up to speed using Spark.

  https://www.kdnuggets.com/2019/01/practical-apache-spark-10-minutes.html

• The Birth of AI and The First AI Hype Cycle

  A dazzling review of AI History, from Alan Turing and Turing Test, to Simon and Newell and Logic Theorist, to Marvin Minsky and Perceptron, birth of Rule-based systems and Machine Learning, Eliza - first chatbot, Robotics, and the bust which led to first AI Winter.

  https://www.kdnuggets.com/2018/02/birth-ai-first-hype-cycle.html

• Are Deep Neural Networks Creative?

  Deep neural networks routinely generate images and synthesize text. But does this amount to creativity? Can we reasonably claim that deep learning produces art?

  https://www.kdnuggets.com/2016/05/deep-neural-networks-creative-deep-learning-art.html

• Create or machine-learn fuzzy logic rules for use with an on-line inference engine

  New DocAndys SaaS service supports user-created embeddable Fuzzy Logic Expert Systems. Use rule language Darl to hand-create or machine-learn rule sets from data and use them via REST interfaces.

  https://www.kdnuggets.com/2015/12/docandys-machine-learning-fuzzy-logic-rules.html