Data Scientist
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Embrace and extend Excel for AI data prep
Combining machine learning and Excel can get you the data transformation you need while data scientists are scarce.
5 risks of AI and machine learning that modelops remediates
Modelops improves machine learning model development, testing, deployment, and monitoring. Follow these tips to keep model risks in check and increase the efficiency and usefulness of your ML initiatives.
5 modelops capabilities that boost data science productivity
Organizations are hiring data scientists to develop ML models and experiment with AI, but the business impact is lagging for many large enterprises.
MIT startup DataCebo offers tool to evaluate synthetic data
Synthetic Data Metrics is an open-source Python library for evaluating model-agnostic tabular data by pitching machine generated data sets against real data sets.
IT career roadmap: Data scientist
Reading Freakonomics awakened his passion for data science. Here's how further education and thoughtful career moves led to becoming a data scientist.
As data science goes mainstream, so does its language
Python may be the second choice to R, but its popularity and ease of use positions it to dominate data science.
Use synthetic data for continuous testing and machine learning
Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety.
Deep Dive
AI, machine learning, and deep learning deep dive
Download this 26-page in-depth guide to AI, machine learning, and deep learning for easy reading at your convenience
Deep Dive
Get started with Angular
A step-by-step guide to installing the tools, creating an application, and getting up to speed with Angular components, directives, services, and routers
Deep Dive
Python megaguide: The best frameworks and IDEs
Only on InfoWorld: A hands-on, in-depth look at 13 Python web frameworks and six Python development toolkits
Deep Dive
Quick guide: Digital transformation and the agile enterprise
Enterprise transformation is hard. But when you build a platform for continuous change, putting new ideas into production becomes a lot easier
Deep Dive
Career hacks: Professional do’s and don’ts for developers
The hot skills to master, the secrets to breaking into management, the career mistakes to avoid -- here's how to refactor yourself as the developer every organization wants
Deep Dive
Deep Dive how-to: Office 365 document sharing
Office 2016, OneDrive, and Office 365 together offer powerful document collaboration capabilities across Windows, MacOS, iOS, Android, and the web -- but only if you set them up and manage them properly. This how-to guide walks you...
Deep Dive
Machine learning megaguide: Amazon, Microsoft, Databricks, Google, HPE, IBM
Download InfoWorld's massive roundup of Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits
Deep Dive
The Essential Guide to Microservices
How to create modern Web and mobile applications that scale.
Deep Dive
The essential guide to PowerShell for Windows, Windows Server, and Exchange
Make the most of Microsoft’s command line by mastering the nuances of the PowerShell language
Deep Dive
Public cloud megaguide: Amazon, Microsoft, Google, IBM, and Joyent compared
The top five public clouds pile on the services and options, while adding unique twists
Deep Dive