Search Results for: data science

Data Science 101: The Data Science Venn Diagram

Welcome to insideAI News’s Data Science 101 channel bringing you perspectives for the topics of the day in data science, machine learning, AI and deep learning. Many of the video presentations come from my lectures for my Introduction to Data Science class I teach at UCLA Extension. In today’s slide-based video presentation I discuss The Data Science Venn Diagram, a subject-by-subject overview of the constituent parts of the discipline of data science.

Data Science Bows Before Prompt Engineering and Few Shot Learning 

In this contributed article, editorial consultant Jelani Harper takes a new look at the GPT phenomenon by exploring how prompt engineering (stores, databases) coupled with few shot learning can constitute a significant adjunct to traditional data science.

Data Science 101: The Data Science Process

Welcome to insideAI News’s Data Science 101 channel brining you perspectives for the topics of the day in data science, machine learning, AI and deep learning. Many of the video presentations come from my lectures for my Introduction to Data Science class I teach at UCLA Extension. In today’s slide-based video presentation I discuss The Data Science Process, an overview of the steps that data scientists use solving problems with data science and machine learning technologies.

Why AutoML Isn’t Enough to Democratize Data Science 

In this contributed article, Noam Brezis, co-founder and CTO of Pecan AI, explores that because AutoML was born out of academia, in its current incarnation it is only built to simplify the model building process. This is likely the reason why existing AutoML solutions are finding challenges with scaling. Plus, these types of solutions are not incorporating the aspects of data prep and feature engineering, nor the model training, deployment and monitoring, which as a result slowing down adoption of AI within the enterprise and curtailing the impact it can deliver.

The Key Role Missing in Most Data Science Teams

In this contributed article, Wendy Lynch, Founder of Analytic-Translator.com, shares her experience of working with small to large global clients on how to break down the communication barriers in an organization to deliver results. This often happens between the analyst teams and the business teams.

Four Steps to Building a Data Science Organization that Delivers ROI

In this contributed article, VP, Data Science for 84.51° Insights business, Emily Gibbons, offers tips for building a successful data science organization that delivers ROI. Included is advice for understanding common pitfalls and where to begin – i.e. start small, ensure tech teams have context they need, how to drive scale and advocacy across the organization to sustain ROI.

Data Science: U-M Partners with Google to Offer Job-ready Tech Skills Program 

A new flexible online training program on data science will prepare job-seekers in Michigan and beyond to quickly enter one of the fastest-growing labor markets and advance their careers. The University of Michigan’s Center for Academic Innovation created the program, “Data Analytics in the Public Sector with R,” for data science and other professionals interested in how public data sets can drive decisions and policymaking in the public sector. The course complements current Google career certificates, flexible online “Grow with Google” job-training programs for high-demand fields.

How AI and Data Science Can Modify the VC Industry

In this contributed article, Jonathan Serfaty, Head of Data Science, Telstra Ventures, discusses how Venture Capital (VC) is one of the most powerful mechanisms in modern society for catalyzing innovation – particularly in technology – however, ironically, the VC industry itself is not particularly innovative. The truth is that the VC’s have been slow to adopt the AI technologies they help fund. 

Pecan AI Announces One-Click Data Science Model Deployment, Integration with Core Business Systems, and Automated Live Model Monitoring

Pecan AI, a leader in AI-based predictive analytics for BI analysts and business teams, announced the addition of one-click model deployment and integration with common CRMs, marketing automation tools and other core business systems. Pecan’s customers can now take immediate actions based on the highly accurate predictions for future churn, life-time-value, demand and other customer-conversion metrics generated by Pecan.

Deepnote Comes Out of Beta to Make Data Science and Analytics Collaborative

Deepnote, an early-stage startup backed by Accel and Index Ventures, launched version 1.0, opening up to the general availability of collaborative data science notebooks to data teams worldwide. Deepnote is a new data science notebook that makes data insights truly interactive. Jupyter compatible with real-time collaboration and runs in the cloud.