Data Science
The best data science and machine learning articles. Written by data scientist for data scientist (and business people)
The best data science and machine learning articles. Written by data scientist for data scientist (and business people)
The discipline of Data Science is expanding quickly and has enormous promise. It is used in various sectors, including manufacturing, retail, healthcare, and finance. Today, a wide variety of online Data Science courses are accessible. With so man...
5 Tips To Ace Your Job Interview For A Data Scientist Opening.PNG 795.94 KBImage SourceAspiring data scientists have a bright future ahead of them. They’re about to enter a field that’s exponentially expanding in terms of job growth and career opp...
The article contains some of the most commonly used advanced statistical concepts along with their Python implementation.In my previous articles Beginners Guide to Statistics in Data Science and The Inferential Statistics Data Scientists Should Kn...
Unpopular opinion?Table of ContentsIntroductionBusiness and Product UnderstandingStakeholder CollaborationSummaryReferencesIntroductionAs mentioned above, the title of this article may be an unpopular opinion, but let me lay it out for you to see ...
Real-life data is usually messy. It requires a lot of preprocessing to be ready for use. Pandas being one of the most-widely used data analysis and manipulation libraries offers several functions to preprocess the raw data.In this article, we will...
These tips are also applicable to Software Engineers. Make a few changes in your CV and land that job!Writing a good CV can be one of the toughest challenges of job searching.Most employers spend just a few seconds scanning each CV before sticking...
Data science competitions are a very particular field of applied machine learning, or what is commonly known as applied AI. From the point of view of a data scientist, it has the particularity of simulating a real environment for the solution of a...
From a company perspective, data science projects should always be viewed as experiments. Remember that we are talking about science, and science bases many of its theories on the results of a series of experiments. From here, many companies start...
Connections made between data science and gaming tend to have to do with AI, and how it is tested and developed through certain games. Case in point, some of the resources for learning math for data science that have been discussed here in the pas...
Having great mentors to learn from has been a huge blessing throughout my data science career, or even in life.I still remember the defining moment when I decided to transition from physics into data science during my final year in university.The ...
Open innovation is a term used to promote a different and open mindset towards innovation that goes against the secrecy and traditional mentality of corporate R&D labs. The use of the term "open innovation" refers to the growing acceptance of ...
The data is sometimes called the "new oil," a newly discovered source of wealth that is extracted from the depths of corporate and government archives. Some accountants are so excited about the potential value of the data that they count it in the...
Startup, SMB or company founders, managers or decision makers often claim that they are "data rich but information poor". This statement is in many cases only partially correct because it hides a misconception about the data life cycle. The fact t...
Today, large companies have large I+D budgets that allow them to experiment and be at the cutting edge of new technologies; always adopting the newest, trying to adapt it to their own needs, trying to find the hidden value in each of them. It is n...
Here you will find a study plan divided by semesters so that you can start on January 1stWe are ending 2020 and it is time to make plans for next year, and one of the most important plans and questions we must ask is what do we want to study?, wha...
An overview of Machine Learning Algorithms(Source)“Machine intelligence is the last invention that humanity will ever need to make.”— Nick Bostrom.If you could look back a couple of years ago at the state of AI and compare it with its current stat...
sourceThere are two types of supervised machine learning algorithms: Regression and classification. The former predicts continuous value outputs while the latter predicts discrete outputs. For instance, predicting the price of a house in dollars i...
A plethora of online courses and tools promise to democratize the field, but just learning a few basic skills does not a true data scientist makeEvery few years, some academic and professional field gets a lot of cachet in the popular imagination....
In this article, I will present the 22 questions in fundamental statistics that you may encounter during interviews.1, What is Hypothesis Testing?Hypothesis Testing is a method of statistical inference. Based on data collected from a survey or an ...
