Why do some ideas thrive while others die? And how do we improve the chances of worthy ideas?
The 6 Productivity Strategies to Integrate Deep Work into Your Professional Lives
“Deep work is the ability to focus without distraction on a cognitively demanding task. It’s a skill that allows you to quickly master complicated information and produce better results in less time. Deep work will make you better at what you do and provide the sense of true fulfillment that comes from craftsmanship. In short, deep work is like a super power in our increasingly competitive 21st-century economy.”
10 Creativity Challenges to Exercise Your Creative Confidence
There is an enormous number of stories and tips contained in Creative Confidence. I have shared here the 10 creativity challenges that you can practice to be more creatively confident. Some psychologists claim that you have to practice a new behavior for 21 days before it begins to become a habit. The operative word is “practice.” The weeks, months, or years spent thinking about new behaviors don’t count. So pick your favorites or create some new experiments of your own. Start accelerating down the runway now if you want your new skills to take flight.
The 10 Deep Learning Methods AI Practitioners Need to Apply
Deep Learning is strongly technique-focused. There are not much concrete explanations for each of the new ideas. Most new ideas came out with experimental results attached to prove that they work. Deep Learning is like playing LEGO. Mastering LEGO is as challenging as any other arts, but getting into it is easier.
The 10 Algorithms Machine Learning Engineers Need to Know
It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based on large amounts of data.
The 10 Statistical Techniques Data Scientists Need to Master
Data scientists live at the intersection of coding, statistics, and critical thinking. As Josh Wills put it, “data scientist is a person who is better at statistics than any programmer and better at programming than any statistician.” I personally know too many software engineers looking to transition into data scientist and blindly utilizing machine learning frameworks such as TensorFlow or Apache Spark to their data without a thorough understanding of statistical theories behind them. So comes the study of statistical learning, a theoretical framework for machine learning drawing from the fields of statistics and functional analysis.
Top 10 Liberal Arts Skills You Need to Succeed in Tech
The future will be shaped by people who can embrace rapid change, thrive in diverse environments, and creatively problem solve as part of their everyday lives. Liberal arts skills — the ability to communicate, persevere, embrace ambiguity, work in diverse teams, and frame questions in ways that allow us to see vexing problems in new, solvable ways — are more important than ever given current global directions and trends. Being a Denison alumni makes me a better tech entrepreneur and, more crucially, makes me believe that I can make a difference in the world.