Making Sense of Confusing Data Science Job Postings
If you’re searching for your first or next data science job, the job placement ads probably vary from confusing to downright laughable (“Must have 10+ years of deep learning experience…”). It’s not that you’ve got to be some superhuman data scientist proficient in deep learning algorithms before deep learning... Read more
25 Excellent Machine Learning Open Datasets
Your machine learning program is only as good as your training sets. Data sets are an integral part of the quality of your machine learning, but you may not always have access to data behind closed walls or the budget to purchase (or rent) the key. Don’t despair. There... Read more
Data Scientists Versus Statisticians
Ever since the term “data scientist” came onto the tech scene, there’s been a cross-generational debate raging, attempting to define and distinguish newly branded data scientists and traditional statisticians. I personally adopted the data scientist title around 2012, and I recall a rather pithy definition float across the Twittersphere... Read more
Properly Setting the Random Seed in ML Experiments. Not as Simple as You Might Imagine
Join Comet at Booth 406 in the ODSC East Expo Hall. We will also be speaking at ODSC: – April 30, 9 am — A Deeper Stack for Deep Learning: Adding Visualizations + Data Abstractions to your Workflow (Douglas Blank, Head of Research) – May 2, 2:15 pm... Read more
How to Become a Freelance Data Scientist
When the demand for workers in a particular professional field rises, it tends to be easier to act as a freelancer in that profession. Routinely, companies may prefer to hire full-time staff, but if they’re scrambling to fill roles, hiring an independent contractor may be on the table. We’re... Read more
Top 3 Data Science Certifications for Business Leaders
Big data is transforming the way we make business decisions. It allows far greater insight into our future potential. It illuminates the customer journey in ways that self-reporting doesn’t reveal. It cuts through all the BS to show us where our efforts are paying off or falling flat. Whether... Read more
5 Things Business Leaders Should Know about Data Science
In a modern business context, there’s no situation in the world where it’s okay to say “As the leader, I don’t understand what’s going on, but my team does, and that’s good enough.” Yet, business leaders frequently claim ignorance of the most basic principles of data science. Leaders don’t... Read more
Forging a Career Path in Data Science From Beginner to Expert – ODSC Career Expo
Data Science, data engineering, and machine learning jobs continue to rank as some of the most sought after and highly paid jobs on the planet, according to Thinknum. However, finding the right job is more important than ever. This may be a lucrative field, but many quickly find that... Read more
The Benefits of Cloud Native ML And AI
As big data gets more complex, companies are struggling to accommodate the storage and computing needs of average organizations, much less massive enterprises. This is where cloud-native ML and AI comes into play. What Does Cloud Native Mean? Your computing power is limited. No matter what kind of hardware... Read more
Machine Learning Challenges You Might Not See Coming
There seems to be a skills gap, and a skills misunderstanding, when it comes to Data Science, Engineering, and DevOps as a joint process. At our machine learning consultancy, Infinia ML, we view deployment as a sequential process across teams: (1) Data Science explores data and develops algorithm(s). (2a)... Read more