Category Archives: Data Science News

Conversational Artificial Intelligence (AI) has been around for some time now and making a substantial impact on customer acquisition and retention strategies. This subset of AI has influenced business websites, Internet of Things developments, and a whole range of other technologies. The growth in SaaS tools for marketing has boosted the way businesses market theirContinue reading “How Conversational AI is Transforming MarTech”

How to Deploy AI Models? — Part 1 Wish you all Happy New Year Guys!!! May this New Year add more feathers to our hat. Model deployment is one of the very crucial task of the whole process. Deployment of trained model is very important because it makes the process easier for the end user and add value toContinue reading “How to Deployement AI Models?Part 1”

MuZero takes a unique approach to solve the problem of planning in deep learning models. Originally from KDnuggets https://ift.tt/358s50i source https://365datascience.weebly.com/the-best-data-science-blog-2020/deepminds-muzero-is-one-of-the-most-important-deep-learning-systems-ever-created

Also: SQL vs NoSQL: 7 Key Takeaways; Generating Beautiful Neural Network Visualizations; Meet whale! The stupidly simple data discovery tool; Key Data Science Algorithms Explained: From k-means to k-medoids clustering Originally from KDnuggets https://ift.tt/3b67k9r source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-dec-21-jan-03-monte-carlo-integration-in-python-15-free-data-science-machine-learning-statistics-ebooks-for-2021

Many machine learning algorithms exits that range from simple to complex in their approach, and together provide a powerful library of tools for analyzing and predicting patterns from data. If you are learning for the first time or reviewing techniques, then these intuitive explanations of the most popular machine learning models will help you kickContinue reading “All Machine Learning Algorithms You Should Know in 2021”

When a company decides that they want to start leveraging their data for the first time, it can be a daunting task. Many businesses aren’t fully aware of all that goes into building a data science department. If you’re the data scientist hired to make this happen, we have some tips to help you faceContinue reading “Six Tips on Building a Data Science Team at a Small Company”

Finding data and understanding its meaning represents the traditional “daily grind” of a Data Scientist. With whale, the new lightweight data discovery, documentation, and quality engine for your data warehouse that is under development by Dataframe, your data science team will more efficiently search data and automate its data metrics. Originally from KDnuggets https://ift.tt/350WsG3 sourceContinue reading “Meet whale! The stupidly simple data discovery tool”

comments At KDnuggets, we have brought a number of free eBooks to our readers this past year. I have written a series of posts highlighting Read more » Originally from KDnuggets https://ift.tt/34XqSJn source https://365datascience.weebly.com/the-best-data-science-blog-2020/15-free-data-science-machine-learning-statistics-ebooks-for-2021

Normalization vs Standardization In this article we will discover answers to the following questions: What is feature scaling and why it is required in Machine Learning (ML)? Normalization — pros and cons. Standardization — pros and cons. Normalization or Standardization. Which one is better. First things first, let’s hit up an analogy and try to understand why we need feature scaling. Consider buildingContinue reading “Feature Scaling in Machine Learning”