The deployment of Machine Learning and Deep Learning algorithms on Edge devices is a complex undertaking. In this post, I list the strategies for deploying AI to Edge devices end-to-end i.e. for the full pipeline covering machine learning (building modules) and deployment (devops)
I welcome your comments on additional ideas that could be included. In subsequent posts, I will elaborate these ideas in detail and…Continue
Added by ajit jaokar on January 16, 2020 at 11:30am — No Comments
Here is our selection of featured articles and technical resources posted since Monday:
Added by Vincent Granville on January 16, 2020 at 11:00am — No Comments
Data Science methods and techniques allow new approaching the solution of complex tasks in terms of mathematics, and statistics for the various aspects and areas of our life, work, and business. Therefore, this makes it possible to produce the most unobvious…Continue
Added by Igor Bobriakov on January 16, 2020 at 10:30am — No Comments
Machine Learning (ML) development is an iterative process in which the accuracy of predictions made by the models is continuously improved by repeating the training and evaluation phases. In each of these iterations, certain parameters are tweaked continuously by developers. Any parameter manually selected based on learning from previous experiments qualify to be called a model hyper-parameter. These parameters represent intuitive decisions whose value cannot be estimated from data or from…Continue
This is a major contribution of analytics and big data when you talk about the success of mobile app development. Big Data is large data sets that can be analyzed to know more about the user’s interests, demographics, trends and interactions. We rely on mobile apps present on our phone for most of the tasks like a reminder, planner, health and fitness, etc.…Continue
Added by Veronica Hanks on January 15, 2020 at 8:43pm — No Comments
Hello! This is my first post on Data Science Central, so please be patient. I've had a short Q&A session with our CTO Sergey Nemesh.
Q: What problems can Blockchain solve for the FinTech sector?
A: The main global problem in the FinTech sector is trust providing as for financial operations it plays a crucial role. Blockchain provides trustless transactions which…Continue
Added by Valery Geldash on January 15, 2020 at 10:07am — No Comments
Summary: This blog details R data.table programming to handle multi-gigabyte data. It shows how the data can be efficiently loaded, "normalized", and counted. Readers can readily copy and enhance the code below for their own analytic needs. An intermediate level of R coding sophistication is assumed.
In my travels over the holidays, I…Continue
Added by steve miller on January 15, 2020 at 5:29am — No Comments
To get a defining advantage over the competitors the banks, as well as other financial institutions must dig deep into technology breakthroughs. Luckily, Artificial Intelligence and Machine Learning are already here to help them to achieve it. Improving data processing will lead to better strategies and fraud prevention levels.…Continue
Added by Roman Chuprina on January 15, 2020 at 4:00am — No Comments
Software is always not only a set of instructions but also a context that manages, interacts and executes these instructions. At the start of developing, the engineer configures a dev environment. He can continue to change it in all stages of development. The problem appears when…Continue
Added by Igor Bobriakov on January 14, 2020 at 6:00pm — No Comments
While many of the programming libraries encapsulate the inner working details of graph and other algorithms, as a data scientist it helps a lot having a reasonably good familiarity of such details. A solid understanding of the intuition behind such algorithms not only helps in appreciating the logic behind them but also helps in making conscious decisions about their applicability in real life cases. There are several graph based algorithms and most notable are the shortest path…Continue
Added by Murali Kashaboina on January 14, 2020 at 3:00pm — No Comments
Near about 14% of the workforce or 375 million people worldwide could lose their jobs to AI and automation.
Take a step back and look over the year that has gone by. What have you achieved? Are you being monolingual?
For someone in the tech industry, this might render your career obsolete. In times when AI is taking over the world, being monolingual can be a disadvantage.…Continue
Added by Yoey Thamas on January 14, 2020 at 12:30am — No Comments
Summary: Looking at the 12 hottest world-changing segments in the VC-funded world shows that AI will play a key role. Here’s a little more detail.
Robotic Process Automation has generated a lot of buzz across many different industries. As businesses focus on digital innovation, automation of repetitive tasks to increase efficiency while decreasing human errors is an attractive proposition. Robots will not tire, will not get bored, and will perform tasks accurately to help their human counterparts improve productivity and free them up to focus on higher level tasks. Beyond simple RPA, Intelligent…Continue
Added by Maggie on January 13, 2020 at 10:30am — No Comments
Maybe the biggest challenge we face as a society is our ability to unlearn – to let go of – outdated concepts and beliefs in order to adopt new approaches. Our everyday lives are dominated by outdated concepts: change the oil every 3,000 miles, don’t wear white before Memorial Day, only senior management has the best ideas, don’t eat dessert until you’ve cleaned your plate, trade wars are easy to win, leeches work wonders on headaches, etc.
Well, I’m going to throw down the gauntlet…Continue
Added by Bill Schmarzo on January 13, 2020 at 6:00am — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link. …Continue
Added by Vincent Granville on January 12, 2020 at 2:00pm — No Comments
AI-based technologies reached a new level of adoption in 2019 as businesses learned more about what exactly AI could do for them. 2020 promises to be even more exciting, with AI systems continuing to mature and companies extending usage and applications to address highly specialized needs. In the year ahead, organizations will be empowered to allocate resources even more wisely while achieving greater efficiency.
Here are my top predictions for AI in…Continue
Added by Ji Li on January 10, 2020 at 3:42pm — No Comments
One of the main requirements for modern information systems is the high data processing rate. Among the solutions to solve this problem the popular one is to use high-performance databases. This article will review and compare two popular databases in performance terms:…Continue
Added by Igor Bobriakov on January 10, 2020 at 12:12am — No Comments
By Pranay Agarwal, VP, Sales and Customer Success at Analytics2go
The theme of artificial intelligence adoption is becoming the competitive edge for many companies in different verticals—allowing for both disruption and innovation. Accenture’s research shows that two-thirds of organizations surveyed are …Continue
Added by Betsy Romeri on January 9, 2020 at 1:30pm — No Comments
Here is our selection of featured articles and technical resources posted since Monday.
Added by Vincent Granville on January 9, 2020 at 11:30am — No Comments
Business Intelligence (BI) and Business Analytics (BA) are both used to interpret business information and create data-based action plans. The two terms are frequently used interchangeably, and many people consider one to be a subset of the other (there's some disagreement about whether BI is a subset of BA, or BA is a subset of BI). However, it might be more accurate to describe them as two arms of successful business planning: BI tells you the…Continue