Friday, January 10, 2020
Business Intelligence and Analytics 46
1 Python vs. R for Data Science: What’s the Difference?
https://www.r-bloggers.com/python-vs-r-for-data-science-whats-the-difference/
If you’re new to data science, or your organization is, you’ll need to pick a language to analyze your data and a thoughtful way to make that decision. Full disclosure: While I can write Python, my background is mostly in the R community—but I’ll try my best to be non-partisan.
2 Data Science vs. Artificial Intelligence vs. Machine Learning vs. Deep Learning
https://towardsdatascience.com/data-science-vs-artificial-intelligence-vs-machine-learning-vs-deep-learning-9fadd8bda583
It’s very common these days to come across these terms – data science, artificial intelligence, machine learning, deep learning, neural networks, and much more. But what do these buzzwords actually mean?
3 Machine Learning Clustering Algorithms
https://medium.com/@mahiprashanth866/machine-learning-clustering-algorithms-c70192b21f14
Clustering is the machine learning technique. It is the task of dividing the data points into a number of groups such that data points in the same group more similar to the other data points in the same groups and dissimilar to other data points in the other group.
4 Advanced Machine Learning with Basic Excel
https://www.datasciencecentral.com/profiles/blogs/advanced-machine-learning-with-basic-excel
In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable. Implementations in Python, R, Julia and Perl are provided, but here we focus on an Excel version that does not even require any Excel macros, coding, plug-ins, or anything other than the most basic version of Excel.
5 The Book to Start You on Machine Learning
https://www.kdnuggets.com/2020/01/book-start-machine-learning.html
There is so much information out there — both good and bad — that it can be hard to know where to begin. Also, people come from very different backgrounds, so the starting point can vary significantly. For example, for me, I entered the ML world by watching theoretical videos from Computer Science channels about neural networks, and as I got more and more interested I started reading articles, news, and blogs about the topic.
6 The five lessons B2B sales leaders should learn to make analytics work
https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/the-five-lessons-b2b-sales-leaders-should-learn-to-make-analytics-work
It’s been nearly 15 years since “big data” broke into the business lexicon, often upending long-held assumptions and elevating the critical role played by data scientists and suites of analytic tools. In that time, most of the attention has been on the B2C world. Only recently has the B2B sales world started to appreciate the scale of the benefits data-driven sales can deliver, from prioritizing leads to enhancing existing relationships with customers, by offering the right product at the right time for the optimal price.
7 The Power of Human Intelligence via Experience Management
https://timoelliott.com/blog/2020/01/the-power-of-human-intelligence-via-experience-management.html
Success in business isn’t about answering questions, it’s about asking the right questions in the first place. Or to put it another way: the most important thing in business is… knowing what’s important!
8 4 Ways to Use Big Data to Grow Your Business in 2020
https://www.business2community.com/big-data/4-ways-to-use-big-data-to-grow-your-business-in-2020-02266484
Big data is one of the most diverse tools marketers can use when growing their business. Essentially, big data is the act of analyzing large quantities of data to make informed business decisions.
Before machine programming allowed us to track everything from sales to user engagement, we had to put together the numbers one at a time in a spreadsheet. Instead of waiting days or even weeks to compile this information, reports are generated in seconds.
9 These 7 Skills Can Help You Increase Your Account-Based Marketing Abilities
https://www.business2community.com/marketing/these-7-skills-can-help-you-increase-your-account-based-marketing-abilities-02273719
There have been recent personalization improvements in the marketing process. This has dramatically increased the value of account-based marketing. The more targeted you can get in your campaigns, the higher the percentage of leads. Closing on leads gauges how much money your business will generate. The challenge comes in selecting the account-based approach to take, which will help you keep costs down to maintain a high ROI.
10 Toyota to build prototype city of the future in Japan
https://www.reuters.com/article/us-tech-ces-toyota-idUSKBN1Z5271
Toyota Motor Corp (7203.T) said on Monday it planned to build a prototype “city of the future” at the base of Japan’s Mt. Fuji, powered by hydrogen fuel cells and functioning as a laboratory for autonomous cars, “smart homes,” artificial intelligence and other technologies.
11 Which is best for blog SEO: separate domain, subdomain or subfolder?
https://www.smartinsights.com/search-engine-optimisation-seo/internal-linking-strategy/which-is-best-for-blog-seo-subdomain-or-subfolder/
Where you host your blog relative to your main site is one of the more important decisions involved with setting up a blog.
If you get the decision wrong, you may fail to get the hoped-for SEO benefits you have worked hard to convince your colleagues about. But, if you get it right you can almost immediately see new, incremental visits you wouldn’t have attracted without the blog.
12 9 additional books for the Next Economy
https://www.oreilly.com/radar/more-books-for-the-next-economy/
We originally shared a selection of books relevant to the ongoing transformation of the economy, the world of work, the costs of capitalism, and how business gets done, but it was impossible to include all the titles we wanted to highlight. Thus, you get another compendium, this one perhaps a bit more eclectic than our first post (we hope) but just as elucidating and thought-provoking.
