Women are effectively shattering the social barriers that formerly stood in their way in the tech field, standing alongside their male equivalents to generate remarkable results.
Gone are the days when women were expected to stay at home and care for their children while their husbands went out to work. It’s fairly normal to see women in vibrant careers these days, with many women entering the technology sector not only to provide telecom and VPS hosting services but also to hold top positions in some of the world’s largest corporations — and it’s a delight to watch.
Women are practically…
So you’ve seen some incredible GPT-3 demos on Twitter (if you haven’t, where have you been?). OpenAI’s massive machine learning model is capable of writing its own op-eds, poetry, essays, and even working code:
This is mind blowing.
With GPT-3, I built a layout generator where you just describe any layout you want, and it generates the JSX code for you.
W H A T pic.twitter.com/w8JkrZO4lk
- Sharif Shameem (@sharifshameem) July 13, 2020
- Ayush Patel (@ayushpatel34) July 19, 2020
=GPT3()… the spreadsheet function to rule them all.
Impressed with how well…
How many times have you tried to predict the sales, the weather, or the stocks with good accuracy? Often times we may find a good Neural model yet we fail to tune its hyper-parameters. Here’s where the deep learning model, PROPHET will be useful for beginners in developing predictive models. Let’s begin!
What is Prophet model?
Prophet is estimating methodology executed in R and Python. It is quick and gives totally computerized gauges that can be tuned by hand by information researchers and examination.
Prophet is a procedure for forecasting time series data based on an additive model where non-linear…
How many times have you got baffled with the beginner part in Data Analysis? I am sure many times as I faced the same. So in this post, I will guide you as how to do Exploratory Data Analysis (EDA) with Python.
EDA is one of the basic steps involved in Data Analysis. Before you begin with the analysis part, understanding data is very important. You should be familier with certain terminologies of the type of data on which you are working. For instance, you are working with any financial data let’s say stocks and thus, you should be familier…
Analysis of the data before running into predictions is very important. Understand a few rows and a few columns is very nominal task and we can easily examine the data. However, with a little larger data, suppose 10,000 rows with 50 columns, we really need to do analysis of the data so that we can come to know which factors are going to affect our prediction.
Data Analysis with Python is a bit tedious task as we have to prepare the data i.e. cleaning, pre-processing and normalization. We use Seaborn and Matplotlib for our data visualization. But before plotting the…
In the previous blog, we had discussed brief about What is Machine Learning? In this blog, we are going to learn about the types of ML.
ML is broadly classified into four types:
A lot of definitions about this subject and most of time people actually misinterpret about meaning of Machine Learning. In this post, we will understand what is Machine Learning in very basic terms or say, in layman term.
Arthur Samuel, firstly coined the term “Machine Learning”. He defined the term as:
“Field of study that gives computers the capability to learn without being explicitly programmed.”
Explained in layman terms, Machine learning simply means improving the process of learning for computers which is based on it’s experiences to do a certain task without further guidance through programs. …
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