Data science course in pune. Learnbay is Advanced Data Science Course Training Institute in pune. Data science course in pune will enhance your career
This article was written by Fjodor Van Veen. With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures.… Read More »Concise Visual Summary of Deep Learning Architectures
In laymen’s terms, Machine Learning is about making predictions (answering questions) and classifications based on data. The more data you have, the easier it will be to recognize patterns and…
As FP&A Professionals it is your job to provide high quality analysis and insights to your organization. Download the High resolution… | 32 comments on LinkedIn
This article was posted by Ryan Swanstrom on Data Science 101. Ryan is helping the world learn data science at Microsoft. The differences between Data Scientists, Data Engineers, and Software engineers can get a little confusing at times. Thus, here is a guest post provided by Jake Stein, CEO at Stitch formerly RJ Metrics, which aims to clear… Read More »Difference Between Data Scientists, Data Engineers, and Software Engineers – According To LinkedIn
Page with free resources for learning data science including whitepapers, infographics and blog posts, lessons, and pages. You can download them right now.
Getting started with R can be difficult, but it doesn't have to be. In this blog post (series) I show you the very first steps to learning R with confidence.
Data Pipelines: how it works, how to use it, and how to build a data pipeline on Amazon Web Services (AWS)
Back in the 1990s, computer engineer and Wall Street “quant” were the hot occupations in business. Today data scientists are the hires firms are competing to make. As companies wrestle with unprecedented volumes and types of information, demand for these experts has raced well ahead of supply. Indeed, Greylock Partners, the VC firm that backed Facebook and LinkedIn, is so worried about the shortage of data scientists that it has a recruiting team dedicated to channeling them to the businesses in its portfolio. Data scientists are the key to realizing the opportunities presented by big data. They bring structure to it, find compelling patterns in it, and advise executives on the implications for products, processes, and decisions. They find the story buried in the data and communicate it. And they don’t just deliver reports: They get at the questions at the heart of problems and devise creative approaches to them. One data scientist who was studying a fraud problem, for example, realized it was analogous to a type of DNA sequencing problem. Bringing those disparate worlds together, he crafted a solution that dramatically reduced fraud losses. In this article, Harvard Business School’s Davenport and Greylock’s Patil take a deep dive on what organizations need to know about data scientists: where to look for them, how to attract and develop them, and how to spot a great one.
Are you looking for the Best Free Online Courses for Machine Learning & Artificial Intelligence? If yes, then this article will definitely help you and provide the 90 best free online courses for machine learning & artificial intelligence from various platforms.
Más de la mitad de los empleados teme perder su trabajo con la llegada de la IA
Over the last couple of years, I had the opportunity to apply machine learning techniques to the financial sector. In this overview, I’ll show you how to use ARIMA…
Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.
Welcome to the DataSpoof, we cover all the aspects of Artificial Intelligence and provide you will find free content around Data Science, Machine learning, Deep learning, Computer vision, and Big Data. contact us
A equipe de ciência de dados da Albert, com 250 funcionários permanentes e contratados, se juntará à prática de Inteligência Aplicada da Accenture.
Descubra como a Inteligência Artificial está moldando o futuro do aprendizado infantil e como preparar as crianças para o mundo tecnológico
Welcome to the DataSpoof, we cover all the aspects of Artificial Intelligence and provide you will find free content around Data Science, Machine learning, Deep learning, Computer vision, and Big Data. contact us
This article on a complete tutorial to learn Data Science with Pyhon from scratch, was posted by Kunal Jain. Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 8 years in field of Data Science. He learned basics of Python within a week. And, since then, he has not only… Read More »A Complete Tutorial to Learn Data Science with Python from Scratch
Access a comprehensive collection of the top 28 machine learning cheat sheets on our website for quick and easy reference.Enhance your skills effortlessly!
First came Drew Conway's data science Venn diagram. Then came all the rest. Read this comparative overview of data science Venn diagrams for both the insight into the profession and the humor that comes along for free.
This article outlines the different types of classification analysis and algorithms, how they work and then how to implement them using python.
Index Table
Knowing the mathematics behind machine learning algorithms is a superpower. If you have ever built a model for a real-life problem, you probably experienced that being familiar with the details can…
Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make robots intelligent, such a face recognition techniques used in drones to detect and target terrorists, or pattern recognition / computer vision algorithms to automatically pilot a plane, a train, a boat or… Read More »Deep Learning: Definition, Resources, Comparison with Machine Learning
In the last few months, I have had several people contact me about their enthusiasm for venturing into the world
How do you make a simple plot using python and plotly?
The ultimate R cheat sheet links to the documentation and cheat sheets for every major R package. It just got even better with a brand new second page containing special topics and R packages!
There are as many approaches to selecting features as there are statisticians since every statistician and their sibling has a POV or a paper on the subject. This is an overview of some of these approaches.
In data science, the similarity measure is a way of measuring how data samples are related or closed to each other. On the other hand, the dissimilarity measure is to tell how much the data objects…
Here is the complete list of useful libraries in R to perform data analysis. ggplot2, swirl, shiny, rcmdr, randomforest, survival is listed
The Pyramid of Data Science Data Science is exploding… or so it seems. I came across an article by Oscar Olmedo that describes some of the stages that practitioners in the area follow, and I …
Pink singlet, dyed red hair, plated grey beard, no shoes, John Lennon glasses. What a character. Imagine the stories he’d have. He parked his moped and walked into the cafe. This cafe is a local…
Venturing into the world of Data Science is an exciting, interesting, and rewarding path to consider. There is a great deal to master, and this self-learning recommendation plan will guide you toward establishing a solid understanding of all that is foundational to data science as well as a solid portfolio…
Guest blog post by Rubens Zimbres, PhD. This article brings images from my work modeling with Mathematica, my experience as a Business Analyst and also my doctorate lessons. For me, the borders between a properly executed Business Intelligence and Data Science (with substantive knowledge in Management) are fuzzy. What is a Data Scientist ? In my… Read More »Data Science, Machine Learning, BI Explained in a Amazing Paragraphs
Learning about data science is like cross training for marketers. You don’t need to go pro, but getting the basics down will improve your performance.
Five years ago the McKinsey Global Institute (MGI) released Big Data: The Next Frontier For Innovation, Competition, and Productivity, and in the years since McKinsey sees data science adoption and value accelerate, specifically in the areas of machine learning and deep learning.
Learning from my own mistakes and best practices, I designed a Data Science Workflow Canvas* to help others achieve their own data science projects. This canvas helps you prioritize your goals first…
