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.
There are many branches to AI to learn, but a project-based approach can keep things interesting. Here is a list of 15 such projects you can get started on implementing today.
Here are four courses that can give you the necessary skills to lead businesses in the 21st century. All of them include Python programming as a course component. Most of them require an undergraduate knowledge of statistics, calculus, linear algebra, and probability, so we recommend checking your course of interest for the specifics.
With PerceptiLabs, beginners can get started building a model more quickly, and those with more experience can still dive into the code. Given that PerceptiLabs runs TensorFlow behind the scenes, we thought we'd walk through the framework so you can understand its basics, and how it is utilized by PerceptiLabs.
The key element for success in practical AI implementation is uncovering any issues early on and knowing what aspects of the workflow to focus time and resources on for the best results—and it’s not always the most obvious steps.
Emerge with Resiliency 2020 is a no-cost virtual event presented by the IBM Planning Analytics and Cognos Community taking place on Nov 18. This one-day event includes 8 expert sessions, during which you’ll learn how IBM solutions can help enhance business continuity, reduce risk from emerging threats, and help you prepare for and manage disruption.
New book, "Deep Learning Design Patterns" presents deep learning models in a unique-but-familiar new way: as extendable design patterns you can easily plug-and-play into your software projects. Use code kdmath50 to save 50% off.
The PlexPage by Algoritmi Vision is an Abstractive Multi-domain Search Summarization application built using the unique and innovative structure of the Natural Language Generation (NLG) technique. Learn more here, and try it out for yourself.
Historically, containers were a way to abstract a software stack away from the operating system. For data scientists, containers have historically offered few benefits.
There are 2 main coding-free solutions for extracting content from websites to build your content base: use web scraping tools and use content aggregation tools. We review top choices.
In order to build automated data processing systems, we require professionals like Machine Learning Engineers and Data Scientists. But which of these is a better career option right now? Read on to find out.
15 Exciting AI Project Ideas for Beginners
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