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What AI for Human Language Can Do for You
March 3rd event in Tel Aviv showcases the future of AI for human language Could a doctor’s assistant be an AI-powered bot in five years?  Expert practitioners, researchers, and industry leaders in the AI domain converge on Tel Aviv on March 5, 2020 for a day packed with 50... Read more
15+ Free and Paid Resources to Learn Python
Python is one of the most significant skills you’ll need not only in data science but in any position in the development/tech world. It’s used in a variety of fields and has a reputation for being easy to learn and simple to use. Here are 15+ free and paid... Read more
Scikit Optimize: Bayesian Hyperparameter Optimization in Python
So you want to optimize hyperparameters of your machine learning model and you are thinking whether Scikit Optimize is the right tool for you? You are in the right place. In this article I will: show you an example of using skopt on a real problem, evaluate this library based on... Read more
2020 Data Science Landscape: ODSC East Expo Hall
As the number of frameworks, tools, platforms, and solution providers continues to grow, it’s an increased challenge for teams to keep pace. Managers, data scientists, data engineers, software engineers, and a host of other roles need to understand data science trends and what production tools & solutions they can... Read more
Why Math is Vital for a Career in Data Science and AI
The future we have seen in science fiction movies is here. From virtual reality to functional gadgets, AI has invaded our lives in ways that no one has ever seen or expected. AI tools and chatbots have been on the verge of a breakthrough in the promptly-evolving tech realm,... Read more
The 2020 Data Science Dictionary—Key Terms You Need to Know
As I discussed early last year, the data science field is a virtual hot-bed of 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... Read more
DevOps to DevSecOps: All about the Journey!
What do DevOps and DevSecOps—two unions of various divisions the same organization, who has any intention of rushing to the aid of agility and faster innovation—have in common with each other and what are the relationships between these development tools? Are they indicating any trend which is going to... Read more
From Idea to Insight: Using Bayesian Hierarchical Models to Predict Game Outcomes Part 1
Imagine you’re a data scientist at an online mobile multiplayer competition platform. Your bosses have a vested interest in paying people with our skillset to predict game outcomes for a variety of commercial applications they profit from, for example, setting odds and sharing better insights with game developers on... Read more
Experiment Management: How to Organize Your Model Development Process
Let me share a story that I’ve heard too many times. ” So I was developing a machine learning model with my team and within a few weeks of extensive experimentation, we got promising results… …unfortunately, we couldn’t tell exactly what performed best because we didn’t track feature versions, didn’t record... Read more
What Industries Will be Transformed by AI Most in the Next Decade?
There are quite a few industries that will be transformed by AI in the next decade, but what do we mean by “transformation.” You know that AI is going to affect just about every industry there is. Still, a few will undergo a radical change as a result of... Read more