-
Data Scientist: PubChem API Implementation
The sections that you can visit to learn about how Mandy – the Intelligent Companion works are mentioned in the order in which the application works. These actions start after receiving a question or comment from the user: What is Mandy – the Intelligent Companion? Wit.ai Technology Implementation PubChem API Implementation Youtube Audio Transcription Implementation…
-
Data Scientist:Wit.ai Technology Implementation
If this is the first article you read, we recommend that you first review the introduction of details about what Mandy is and What is Wit.ai technology. This will allow you to supplement the PubChem programming code to use the Mandy program – the Smart Companion. On the other hand, if you are just trying…
-
Data scientist: Types of Data Distribution – Data Distribution Fundamentals
How could data be distributed? Data could be distributed in different ways so that it is important to understand how data is distribute in order to infer about the whole population we are interested in. The main types of data distribution are: Binomial distribution (Discrete) Bernoulli distribution (Discrete) Normal/Gaussian distribution (Continuous) Poisson distribution (Discrete) Power…
-
Data Scientist: Big Data Fundamentals – What is Big Data? and Hadoop Fundamentals
Essentially, your will know how big data is processed, what big data is and how large volume of data is managed by using Hadoop. There are other big data tools and frameworks that you can use so that we suggest you to look for those in order to compare what is the way to manage…
-
Data Scientist: 4 Python Paradigms
In this article you will learn about the four different programming paradigms that you can implement in python. Those paradigms are the imperative, procedural, functional and object-oriented paradigms. It is important to recognize that when we are talking about paradigms we are identifying the programming styles that can be implemented in python. This means that…
-
Data Scientist:Advantage and Disadvantage of the Naive-Bayes Method
Naive Bayes Model is a widely used method to get data classified. It is useful because it allows to do multivariate analysis and obtain an estimated probability. In fact, the algorithm is based on the Bayes theorem of conditional probability that considers that the probability that an event occurs given the fact that another event…
-
Logistic Regression vs Linear Regression
Logistic regression is used to find the odds or event ratio in which a specific event occurs in relation to other events. This machine learning method also is used in regression problems that require to identify the probability of occurrence of a specific dependent variable. It has the advantage to find the relationship between a…
-
Opciones de Carrera – Primera Semana de Trabajo como Ingeniero Químico (Día 5)
En el quinto día de trabajo como ingeniero químico ya habrás conocido sobre los planos de instrumentacion y control de la planta industrial. También habrás analizado los equipos, variables y estructura del proceso de producción, por lo que durante el quinto día te quedará analizar mejor el plano de instrumentación de control proceso y de…
-
Most Important Software for Civil Engineers
Know about Autocad, SAP2000,Revit, Etabs and Staad Pro in order to improve your engineering skills or start integrating new ones.
-
Carreras Universitarias – Ingeniería Civil
Conoce sobre las cualidades, conceptos, estrategias, exigencias y mejores trabajos en los que la ingeniería civil esta involucrada. Con una gran cantidad de escuelas al rededor del mundo que ofrecen esta carrera, la mayoría sigue patrones similares que harán de tu un ingeniero civil de excelencia.