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The 2019 Data Science Dictionary – Key Terms You Need to Know
The data science field is teeming with terminology, a confluence of terms from computer science, statistics, mathematics, and software engineering. In addition, the language of data science evolves very quickly. As a journalist and also a data scientist, I probably see the newest terms before many others in the... Read more
The Hitchhiker’s Guide to a Successful Data Science Practice
Be sure to attend Olivier’s talk at ODSC East this April 30 – May 3 in Boston! Register now for “Democratizing Artificial Intelligence in a Business Context” now. When we speak about data science in general, one of the biggest problems is the sheer lack of data scientists. According... Read more
Deep Learning for Business: 5 Use Cases
Enterprises at every stage of growth from startups to Fortune 500 firms are using AI, machine learning, and deep learning technologies for a wide variety of applications. Deep learning, as the fastest growing area in AI, is empowering much progress in all classes of emerging markets and ultimately will... Read more
6 Ways Businesses Can Incorporate AI Into Their Products
The buzz over AI is loud in business, but don’t jump on the bandwagon just yet. You need a thoughtful plan of action to avoid what those of us in education know as “tech fatigue,” or the implementation of tech initiatives with no real goal for ROI. Launching blindly... Read more
5 Ways To Make The Most Out Of An Expo Hall Experience
The expo hall is an exciting part of any conference. There’s so much going on, the freebies, the new tech, the possibility of finding your next big thing. I know you’re tempted to wing it, but you’d be making a mistake going in without a clear plan of action.... Read more
Reading Tea Leaves: Principles of Predictive Analytics and the Path to Time-Series Predictions
Scott is presenting at ODSC East 2019 this May in Boston! Check out his workshop “Real-ish Time Predictive Analytics with Spark Structured Streaming.” With the advent of so many wonderful open-source tools and frameworks for machine learning & deep learning,  it can sometimes be difficult to understand just what... Read more
How to Balance Work and Learn More About Data Science
Data science is a very demanding profession because technology is advancing at such an accelerated rate. Data scientists always need to be learning about new tools, languages, packages, updates, research results, etc. As a result, it’s difficult to do your 40-hour per week job and also keep learning and... Read more
The 5 Biggest Debates in Data Science Today
The meteoric rise of data science in recent years is not without controversy. There are a number of on-going debates in the discipline that have gone unresolved for quite some time. The short list below contains the most common debates I routinely see discussed online, at conferences, and even... Read more
3 Types Of Certifications in Data Science That Make You Stand Out
Data science is experiencing a career-high, with jobs numbering in the thousands across fields of all kinds. You’ve got the data science chops to kill it in a job, but a certificate sets you apart from other potential job seekers. Let’s take a look at the kinds of certifications... Read more
2018 Major Updates to the Most Popular Data Science Frameworks
New data science projects, tools, and frameworks are popping up at a hectic pace.  However, most of us are already using many of the major and most popular ones. Read on and check out major releases of some of the most popular frameworks you may have missed in 2018. PyTorch:... Read more