Machine Learning Practitioners have different personalities. While some of them are “I am an expert in X and X…
Those of us who were data science practitioners before the ubiquity of buzz words like “Fourth Industrial Revolution”, remember a time when data science was being described as “utter hubris” by some of the worlds leading quants. All these buzz words, coupled with misplaced applications of data science have turned it into a fairly nebulous concept. Which is a problem.
In facilitating my data science workshops I've realized there are two main groups of audiences and learners.…
I want to apologize to my small audience for being so long in waiting to post a blog post. My goal had been one per week, but life intervened in the meantime. While I have tried to be productive, the blog post fell by the wayside.
I did write a couple of short stories, I must confess. I wrote How to Engage in Counterespionage Operations Against Ghosts because I grew up watching Sherlock Holmes movies and the Twilight Zone. I wrote a small set of short stories…Continue
Added by David Harris on July 16, 2019 at 12:45pm — No Comments
When trying to implement informed business solutions, what you see is all there is (WYSIATI), which can result in being “data-nearsighted.” For this reason, it is crucial to have a comprehensive data strategy in order to make better business decisions and implement efficient business solutions…Continue
Added by Aaron Daniel Burciaga on July 16, 2019 at 11:11am — No Comments
Added by Lewis Wynne-Jones on July 16, 2019 at 5:00am — No Comments
With the changing streams of today's technology, business sectors are gaining various benefits from the latest trends. As the modern world has adopted modern approaches, many sectors have undergone a huge transformation and agriculture is one of them which has got this opportunity to upgrade most of their approaches to…
Added by Smith Johnson on July 16, 2019 at 2:00am — No Comments
Each has their own journey through the deep woods of AI & ML. My own exploration has had many stops and starts, stumbles and falls and change in direction. Along the way I have been picked up and helped along by…Continue
Added by Jai Sharma on July 15, 2019 at 1:30pm — No Comments
Summary: Are you wondering about moving up to Automated Machine Learning (AML)? Here are some considerations to help guide you.
Are you wondering about moving up to Automated Machine…Continue
Added by William Vorhies on July 15, 2019 at 7:30am — No Comments
This post is a part of my forthcoming book on Mathematical foundations of Data Science.
In the previous blog, we saw how you could use basic high school maths to learn about the workings of data science and artificial intelligence
In this post we extend that idea to learn about Gradient descent
Added by ajit jaokar on July 14, 2019 at 12:30pm — No Comments
In “Importance of Thinking Differently…Hint: Don’t Pave the Cow Path”, I introduced the concept of the “3 Horizons of Digital Transformation.” I wanted to provide a framework that helped organizations differentiate between “Digitalization” versus “Digital Transformation”. Unfortunately, in succeeding client engagements, I realized I did a crappy job of explaining these 3…Continue
Added by Bill Schmarzo on July 13, 2019 at 12:25pm — No Comments
Bayesian Machine Learning (part - 3)
In this post we will see the methodology of building Bayesian models. In my previous post I used a Bayesian model for linear regression. The model looks like:…Continue
Added by Ashutosh vyas on July 13, 2019 at 3:28am — No Comments
Added by Vincent Granville on July 12, 2019 at 6:30am — No Comments
If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…Continue
Added by Ann Rajaram on July 11, 2019 at 2:52pm — No Comments
Recently we have discussed the emerging concept of smart farming that makes agriculture more efficient and…Continue
Added by Max Ved on July 10, 2019 at 8:30am — No Comments
Evaluating a model is just as important as creating the model in the first place. Even if you use the most statistically sound tools to create your model, the end result may not be what you expected. Which metric you use to test your model depends on the type of data you’re working with and your comfort level with statistics.
Model evaluation techniques answer three main questions:
We are a Ukraine-based company which means that our parents and grandparents lived in the era of infamous Soviet collective farms, where tractors were considered to be an ultimate technology. For them, a smart farm will sound like a fairy tale.…Continue
Added by Max Ved on July 9, 2019 at 2:41pm — No Comments
The course "Data Science for Business Innovation" is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation.
It consists of introductory lectures spanning big data, machine learning, data valorization and communication for a non-technical audience.
You can register for free on Coursera at this…Continue
Added by Marco Brambilla on July 9, 2019 at 4:30am — No Comments
Enabling cost-effective terabyte main memory along with third-party observations of a “profound” change in storage, Intel® Optane™ DC persistent memory modules change the way we think about memory capacity, tiered memory, out-of-core algorithms, storage speed, and essentially what we can do on a computational “fat node” and with persistent storage.
With a growing ecosystem of more than 50 OEMs, ISVs and cloud service providers are exploring what is possible given the touted three-fold…Continue
Added by Rob Farber on July 8, 2019 at 1:51pm — No Comments
I highly recommend the #StateofAI 2019 report. I have followed this report from By Nathan Benaich and Ian Hogarth
The report is free and you can download it at stateofai 2019
The report is kind of Mary Meeker theme for AI for me i.e. a great reference…Continue
Summary: More data means better models but we may be crossing over a line into what the public can tolerate, both in the types of data collected and our use of it. The public seems divided. Targeted advertising is good but the increased invasion of privacy is bad.
Headlines are full of alarm. The public is up in arms. The internet is stealing their privacy. Indeed, the Future of Humanity Institute at Oxford rates this as the most…Continue