We’ve seen many predictions for what new advances are expected in the field of AI and machine learning. These predictions tend to be hunches or best guesses from practitioners in the field.
Check out my latest article published for KDnuggets where I review a “data set” based on what researchers were apparently studying at the turn of the decade to take a fresh glimpse into what might come to pass in 2020.
Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. With these 10 free books, you can dive into some must-reads to support your AI study and work.
Check out my recent article published for KDnuggets that highlights important resources—all available for free— that can provide a strong foundation for the field of AI. My review includes summaries of each book along with the backgrounds of the authors.
If you are interested in learning more about machine learning and AI as a student, researcher, citizen scientist, or corporate executive, then start right here and keep up to date with the latest advancements in the field.
Are you interested in getting a taste of what this hype on Artificial Intelligence and Deep Learning that you hear in the media is all about? With hundreds of new scientific publications coming out every month, it’s tricky to stay on top of the advancements.
One way is to follow some of the top influencers and leaders in the field so that you can always have a glimpse of what is coming next through their social media lenses.
My latest article now available on KDnuggets is a current top list for deep learning researchers and industry leaders who you should follow to stay current with this wildly expanding field in Artificial Intelligence.
It’s exciting to see such a diverse group of individuals from early practitioners and established academics to entrepreneurs and today’s top corporate influencers who are leading the way into tomorrow’s deep learning landscape.
So, who should you follow? Check out my list featuring some of the most important people in the field — who also happen to like to tweet… a lot.
Listening to podcasts during your daily commute or while taking a break from the bustle of your day is an efficient and effective way to stay current on the field of data science and make sure you are always learning more.
Check out my recent article published for the KDnuggets Top 10 list that highlights the most active and popular podcasts so far in 2019 that feature data science and machine learning conversations.
I reviewed many more podcasts, so this list drills down to only those published on iTunes with the highest ratings (4.5+), the most reviews, and at least one recent episode within the current month.
Machine learning can process data that is imperceptible to humans from which it produces results we would expect.
These inconceivable patterns (they might look like old-school TV static to us) are inherent in data but may make models vulnerable to adversarial attacks. How can developers harness these features to not lose control of AI?
Check out my latest technical review article covering recent research to answer this question published on KDnuggets, the top-rated and influential portal covering news and tutorials on Artificial Intelligence, analytics, Big Data, data mining, data science, and machine learning.
Artificial intelligence is all the rage with programmers and scientists, but what about our next generation? Machine learning can be introduced to young ones who are just now learning how to code, and it is important that today’s practitioners spark their interest.
Check out my article published on KDnuggets, the top-rated and influential portal covering news and tutorials on Artificial Intelligence, analytics, Big Data, data mining, data science, and machine learning.