There are unlimited discussions, and conversations over this well-known point, and it tends to be a touch of overpowering to realize where to begin from data science specialists to finish amateurs.
While, from analysts to students,…Continue
Added by akash on February 4, 2021 at 11:30pm — No Comments
Affiliate marketing is a mainstream strategy to drive deals and produce various income from it. It is exceptionally helpful for the two brands and partner advertisers, which will procure you the best commission on the lookout.
By advancing the results of another…Continue
Added by akash on January 22, 2021 at 3:30am — No Comments
In another article, we discussed how to simplify your Python code for optimal readability. That piece covered why writing simpler code will help with the reader’s comprehension of your syntax and force you to think about problems in a way that is easier to explain to those who may not be as technically savvy. This article will…Continue
Added by Zoe Zbar on December 22, 2020 at 12:04pm — No Comments
During a recent workshop, bootcamp instructor Alex Baransky shared some of the best practices in writing Python code for better readability. Through this series of articles, we will summarize and give you a few examples of those best practices to help you write more elegant Python code, benefiting those who may read and use your…Continue
Added by Zoe Zbar on December 22, 2020 at 11:57am — No Comments
#Coronavirus: The world sees a new disease which might become a global pandemic. It depends on how we act now.
But how should we act? Maybe #Datascience can help. But we data scientists have not enough data.
All I found is data about the spread per country/region (see my links in the group); I have not found cases, not found details. Let’s unite and make this an effort where we can…Continue
Added by Carsten Kraus on February 26, 2020 at 11:30am — No Comments
Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and…Continue
Added by Giuseppe Bonaccorso on February 9, 2020 at 3:01am — No Comments
How to build a project from scratch by using a latest, state-of-the-art AI technology stack?
After spending a few years working on data science - enriched products, we tried more than 10 different workflow concepts - adopted scrum & agile, waterfall, iterative kanban canvas etc.
As a result, we've drafted our own data science project development workflow that allows us to iterate over data science hypotheses, process and acquire data, build…Continue
Added by Max Frolov on January 19, 2020 at 3:00am — No Comments
“When I think back on all the crap I’ve learned in high school, It’s a wonder I can think at all” - Simon and Garfunkel, Kodachrome
Growing up in the ’60s in California, we were subjected to a lot of educational experiments. We had beanbag chairs in class. We squinted into uncomfortable metal and…Continue
Added by Russell W Anderson on December 28, 2019 at 2:30am — No Comments
Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurity threats. CSDS is increasingly formally recognized as a cybersecurity job specialty, for instance in the NIST NICE Cybersecurity Workforce Framework.
A proposed CSDS definition derived from…Continue
Added by Scott Mongeau on October 22, 2019 at 11:20pm — No Comments
Human and artificial intelligence compares just as well as oranges and apples do. Nonetheless, the broader public does precisely that, including a vast portion of businesses and organizations. Hence, let's do a thought experiment: If we were to compare human and artificial intelligence, how would we go about it? And what would be the possible conclusions from that comparison?…Continue
Added by Rafael Knuth on October 14, 2019 at 9:30am — No Comments
Nowadays, most data scientists use either Python or R as their main programming language. That was also my case until I met Julia earlier this year. Julia promises performance comparable to statically typed compiled languages (like C) while keeping the rapid development features of interpreted languages (like Python, R or Matlab). This performance is achieved by just-in-time (JIT) compilation. Instead of interpreting code, Julia compiles code in runtime. While JIT compilation has…Continue
Added by Daniel Moura on August 22, 2019 at 1:00pm — No Comments
The “Big data” is in vogue these days. Most of the people who are aware of the term state that big data is a source of power and can bring about drastic revolutions in the scores of some of the major industrial sectors. However, the tools available that bring about changes in big businesses and small leading to the Big Data Revolution are known to a very few. Here you can get a sneak-peek of the tools that are available and how the tools fit into a…Continue
Added by Nisha Dhiman on July 30, 2019 at 11:00pm — 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
Think back to the last time you texted a chatbot. Whether it was a concierge, a customer support assistant, or an AI…Continue
Added by Ashok Narendranath on December 6, 2018 at 9:00pm — No Comments
This is an analysis of the Kaggle 2018 survey dataset. In my analysis I am trying to understand the similarities and differences between men and women users from US and India, since these are the two biggest segments of the respondent population. The number of respondents who chose something other than Male/Female is quite low, so I excluded that subset as well.
The complete code is available as a …Continue
There is an important distinction related to data mining. First the difference between mining the data to find patterns and build models, and second using the results of data mining. Data Mining results inform the data mining process itself.
Cross-industry standard process…Continue
By Antonio Gulli, Amita Kapoor
Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x
In this book, you will learn how to efficiently use TensorFlow, Google's open…Continue
The insurance industry is regarded as one of the most competitive and less predictable business spheres. It is instantly related to risk. Therefore, it has always been dependent on statistics. Nowadays, data science has changed this dependence forever.
Now, insurance companies have a wider range of…Continue
Packt Publishing, publisher of software learning resources, has revealed the results of its 2018 Skill Up Developer Skills survey in a new report.From what programming languages, frameworks, and libraries are most used, to job satisfaction, the report offers a snapshot of what matters to software developers in 2018.
In the Skill Up Survey, both app and web…Continue
Added by Packt Publishing on June 8, 2018 at 12:00am — No Comments
In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Companies want to know more what improvements the technologies bring and how they can reshape their business strategies.
To help you answer these questions, we…Continue
Added by Igor Bobriakov on May 14, 2018 at 4:30am — No Comments