Things To Know Before You Make Your 1st Machine Learning Model
A saga of details, important yet usually forgotten.If you have done your first MOOC on Machine Learning (aka Andrew Ng on Coursera) and want to explore further opportunities in this field or you are someone who has been observing the buzz of Data ...
Six Recommendations for Aspiring Data Scientists
Building experience before landing a jobSource: https://www.maxpixel.net/Art-Colourful-Gears-Creativity-Cogs-Colorful-1866468Data science is a field with a huge demand, in part because it seems to require experience as a data scientist to be hired...
How To Learn a New Programming Language Fast
Photo by Marvin Meyer on UnsplashPeople often marvel at a star programmer’s ability to pick up any language extremely fast. “This person must be gifted,” they’ll say. This person must be good at science and math.The truth is that becoming a master...
A Step-By-Step Guide For Creating Advanced Python Data Visualizations With Seaborn / Matplotlib
Although there’re tons of great visualization tools in Python, Matplotlib + Seaborn still stands out for its capability to create and customize all sorts of plots.In this article, I will go through a few sections first to prepare background knowle...
AI in Finance: 5 Use Cases That Will Revolutionise the Industry
AI in Finance: 5 Use Cases That Will Revolutionise the IndustryWhat’s next in financial innovation?Technology is driving huge disruption and innovation in the UK financial services industry. The advent of cheap cloud computing, combined with new o...
Numpy & OpenCV In Action
Numpy is a powerful free source python library, which is widely used mainly for mathematical and statistical calculations. This is because many of its operations are based on vector calculations using multidimensional arrays. Also, other important...
Top 10 Skills for a Data Scientist
With gallons of coffee to clear up the inbox, welcome back to the grind! 😀For the winter break, I had a list of stories I wanted to write, and this was the one I was most excited about! Because I too worked to learn some of the skills for Data Sci...
Some Common Data Science Stacks
7 stacks from interviewing Analysts, Scientists, and Engineers.Organizations have different combinations of similar technologies to create their own unique stack. But there are some trends going around and if you’re starting a new team, organizati...
Microsoft Data Science Interview Questions and Answers!
A walkthrough of some data science questions from a Microsoft InterviewIf this is the kind of stuff that you like, be one of the FIRST to subscribe tomy new YouTube channel here! While there aren’t any videos yet, I’ll be sharing lots of amazing c...
Are Your Coding Skills Good Enough For A Data Science Job?
5 coding sniffs you must know if you are working in the Data Science industry“It was Friday evening. I clearly remember how excited I was to spend the rest of the day with my family. My parents had traveled to Bangalore for the first time and I al...
SIR and SEIR Epidemiological Models
Simulation and casesBy: Fabio Pinto(Susceptible, exposed, infected, recovered)One of the most widely used epidemiological models is the so-called SIR model, which was proposed by W. O. Kermack and A. G. McKendrick in 1927.In a population of fixed ...
Uber Has Been Quietly Assembling One of the Most Impressive Open Source Deep Learning Stacks in the Market
Let’s look at some of Uber’s top machine learning open source projectsArtificial intelligence(AI) has been an atypical technology trend. In a traditional technology cycle, innovation typically begins with startups trying to disrupt industry incumb...
What Is SQLite and How To Install It?
What is SQLite?Learn about the SQLite database engine and how to install it on your computer.In this article we will be exploring the extremely prevalent database engine called SQLite. We will describe what it does, its main uses, and then explain...
Data Science For Startups: Data Pipelines - Part II
A Scalable PipelineWe’ll build a data pipeline that receives events using Google’s PuSub as an endpoint, and save the events to a data lake and database. The approach presented here will save the events as raw data, but I’ll also discuss ways of t...
OctoML raises $15M to make optimizing ML models easier
Note: This article aims to provide updated news about Data Science and Machine Learning and case studies or successful companies in this business field.Image Credits: Disney Junior via Getty Images / Getty ImagesOctoML, a startup founded by the t...
Data Science For Startups: Data Pipelines - Part I
Source: TheDigitalArtist at pixabay.comPart three of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the introduction, and a book based on this series on Amazon.Building data pipel...
At NYSE, The Data Deluge Overwhelms Traditional Databases
NYSE and NYSE Technologies, its technology subsidiary, found that the continuing growth of stock market data, the demand for more analytics, and, thanks to regulators, lots more reporting, were too much for its existing database.NYSE Technologies ...
A Beginner’s Guide to Apache Spark
Apache Spark vs. Hadoop MapReduce — pros, cons, and when to use whichWhat is Apache Spark?The company founded by the creators of Spark — Databricks — summarizes its functionality best in their Gentle Intro to Apache Spark eBook (highly recommended...
What Happened to Hadoop? What Should You Do Now?
by Monte Zweben & Syed Mahmood of Splice MachineApache Hadoop emerged on the IT scene in 2006 with the promise to provide organizations with the capability to store an unprecedented volume of data using commodity hardware. This promise not onl...
Choosing The Right Database
A critical step in starting any database project: relational vs. non-relational, CAP Theorem and [email protected] unsplash.comWhen you start a new enterprise database project, one of the most critical steps is choosing the right database. With th...
