The Future of AI Apps with React Native AI & Elegance SDK: A Free Training
With the tech world evolving at lightning speed, the demand for intuitive and smart applications has never been higher. Today, we’re pulling back the curtain on what goes into building AI-driven apps using React native AI and Elegance SDK. Spoiler alert: I’ll also share a little something to get you started on this fascinating journey. […]
Vector Embedding Example: Free Training On How-To Build LLM Apps
If you’re browsing the web looking for a powerful vector embedding example to help navigate you in your quest to build an LLM application, then you’re in the right place. Within this blog post you’re going to get: An introduction to what vector embeddings is, A heads-up on cool new startup that’s using them to […]
No Code AI Tools: Build No-Code GenAI Apps Using AWS Bedrock
No code AI tools are hard to come by, especially if you’re looking to build generative AI applications. That’s why I’m so excited to be able to provide this free training where you’ll learn to build genAI apps on one of the best no code AI tools around – Flowise! If you’re involved in GenAI […]
Voice Cloning Free Demo: Learn To Build Your Own Cloning Tool In Just 1 Hour
Looking to learn how to do voice cloning free of charge? You’ve come to the right place. It’s been a few short weeks since OpenAI released its new interactive audio-visual capabilities, and guess what – Spotify and OpenAI have already teamed up to pilot a voice translation service that uses generative AI to automatically translate […]
100 Days Of Generative AI Challenge – A Free Generative AI Learning Path & Community
Generative AI frameworks, APIs, models, and tools are being released faster than even the most astute data professional can keep up. After some discussion with members inside our private substack community, we’ve decided to host a 100 Days Of Generative AI challenge. With this free collaborative challenge, we’re providing a generative AI learning path for […]
Churn Rate Analysis Using The GraphLab Framework – A Demonstration
In this article, you’re going to learn what customer churn rate analysis is and get a demonstration of how you can perform it using GraphLab. Churn is very domain specific, but we’ve tried to generalize it for purposes of this demonstration. What is Churn? Churn is essentially a term that is used to describe the […]
Market Basket Analysis using Python
This article primarily demonstrates how to do market basket analysis using Python, along with a primer on association rules. What is Market Basket Analysis? Market Basket Analysis is a modelling technique based upon the theory of association rules which states that if you buy a certain type of item, you are more or less likely […]
AI in E-Commerce: How Recommendation Systems Can Solve Business Needs?
Our world today uses Artificial Intelligence (AI) and recognizes its benefits in industries such as healthcare, insurance, telecommunications, and many more. But if you’re looking specifically at how AI in E-Commerce can help solve business needs, then this post is for you. Artificial Intelligence has become an inescapable part of the eCommerce industry in recent […]
What Is Synthetic Data and Why Is It Critical for MLOps and Computer Vision?
In your steps towards a data-driven AI approach, this blog post will expose you to the following concepts – what is synthetic data, what is its importance to MLOps and how it could impact computer vision. What Is Synthetic Data? Synthetic data is information generated by a man-made process, not by real events. A variety […]
Big Data Analytics in Cybersecurity: XDR, Digital Forensics, and More
Curious about the relevance of big data analytics in cybersecurity? This article will show you the different techniques in big data analytics which drive innovation to information technology security. What Is Big Data Analytics? Big data analytics is the process of deriving insights from big data to assist organizations in making informed business decisions. It […]
Data science in cybersecurity: How things have changed
Data science brings a logical structure to unstructured data. Data scientists use machine or deep learning algorithms to compare normal and abnormal patterns. In cybersecurity, data science helps security teams distinguish between potentially malicious network traffic and safe traffic. Applications of data science in cybersecurity are relatively new. Many companies are still using traditional measures […]
Web 3 and Data Science: A Quick Start Guide
If you’re curious about Web 3 and data science; And how the advancement of Web 3 can potentially impact and elevate your career in data science, this post is for you. Web 3, or Web 3, is the latest buzzword to take over the internet. The topic has drawn the attention of Twitter, GameStop and […]
Customer Profiling and Segmentation in Python | A Conceptual Overview and Demonstration
If you’re a data professional interested in marketing, mastering customer segmentation and profiling should be at the top of your priority list. Not every product or service that your company makes will be right for every customer, nor will every customer be equally responsive to each of your company’s marketing campaigns. In the age of […]
How To Build A Recommendation Engine in R | A Marketing Data Science Demo
1 billion dollars per year. That’s how much Netflix’s Chief Product Officer Neil Hunt estimates the company saves per year thanks to their global recommendation system. No wonder you’ve found yourself searching for how to build a recommendation engine in R! They’re valuable commodities! From tech giants like Netflix to Amazon to YouTube, enterprises all […]
[Webinar] Making AI Routine, Repeatable and Reliable w/ Lillian Pierson for GigaOm + Cloudera
While interest in Machine Learning/Artificial Intelligence/ (ML/AI) has never been higher, the number of companies deploying it is only a subset, and successful implementations a smaller proportion still. The problem isn’t the technology; that part is working great. But the mere presence and provision of tools, algorithms, and frameworks aren’t enough. What’s missing is the […]
[Panel Discussion] SiliconAngle #GDPR at IBM Fast Track Your Data
Lillian Pierson, PE discusses GDPR with SiliconAngle at IBM Fast Track Your Data 2017 in Munich, Germany.
