Introduction
“Knowledge is worthless unless you put it into practice”. – Anton Chekhov
Gaining insight into new concepts is a fundamental aspect of data science and machine learning. But the real gold is in putting these concepts into practice. The more you practice, the better your concepts will be!
Me complace anunciar que DataPeaker ha lanzado dos nuevos problemas de práctica para entusiastas y expertos del aprendizaje automático y del deep learningDeep learning, A subdiscipline of artificial intelligence, relies on artificial neural networks to analyze and process large volumes of data. This technique allows machines to learn patterns and perform complex tasks, such as speech recognition and computer vision. Its ability to continuously improve as more data is provided to it makes it a key tool in various industries, from health.... We have also added three new courses to our burgeoning training portal.. These courses cover a variety of challenges that machine learning people will find useful..
We believe in providing only first-class content for our community and our trainings, hackatones, articles and practice problems reflect that commitment. Let's look at these practice problems and training courses in a little more detail..
Practice problems
AnalyticsAnalytics refers to the process of collecting, Measure and analyze data to gain valuable insights that facilitate decision-making. In various fields, like business, Health and sport, Analytics Can Identify Patterns and Trends, Optimize processes and improve results. The use of advanced tools and statistical techniques is essential to transform data into applicable and strategic knowledge.... of Vidhya practice problems Bring out your inner data scientist. Our collection of practice problems spans various domains: conducting sentiment analysis, creation of recommendation systems, prediction of loan default, digit identification from images, estimation of the age of Indian actors, among a host of other challenges.
We are excited to release two new practice problems:
Identify the garments
This is an intriguing computer vision problem that has recently gained a lot of traction in the deep learning community..
The data set that we provide for this is called ‘Fashion MNIST’. It is inspired by MNIST, a very popular dataset in the machine learning community (You can check the MNIST practice problem in our ‘Identify the digits’ challenge). In 'Identify the garments', instead of digits, the pictures show a kind of clothes, for instance, T shirt, pants, handbag, etc. The dataset used in this problem was created by Zalando Research.
This practice problem is intended for beginners in deep learning. Intermediates or experts in this field can also work on this to update their concepts.
Jester, Is this joke funny?
This is quite a unique practice problem. You are challenged to predict the ratings of jokes given by provided users the ratings provided by the same users for another set of jokes. This dataset is taken from the famous Joker Online Prank Recommendation System dataset.
This practice problem is intended for everyone in the field of machine learning, from beginners to experts. I recommend getting acquainted with recommendation systems to make the most of this challenge.
Courses and trainings
The goal of DataPeaker has always been to create and assist data scientists around the world by providing world-class training resources.. Therefore, we have expanded our training catalog exponentially this year. We launched the ‘Introduction to data science‘Course that has quickly become our most popular training. We also have trainings on Standing out Y problem solving using data, and of course a comprehensive learning path to becoming a data scientist.
We have recently added three more exciting trainings to this list!!
Create a time series forecast with Python
Time series forecasts are useful for creating simple forecasts such as the number of airline passengers, website traffic, etc. This course is a comprehensive guide to get started in this vast and intriguing domain.. Time series forecasting is a skill that every data scientist should have in their skill set, So be sure to take this course!!
Big Mart Sales Prediction Using R
This course is intended for beginners in data science and machine learning. Predicting a company's sales is one of the most common challenges in this field and this course will give you a very good idea of how to tackle this challenge.. This course will equip you with the skills and techniques necessary to solve a regression problem in R.
Loan Prediction Using Python
This course is designed for people who want to learn to solve binary classification problems. In this grade, solve a real life case study of Dream Housing Finance. The business wants to automate the loan eligibility process (in real time) based on customer details provided via online application form.
End of course, have a solid understanding of classification problems and various approaches to solving them.
Final notes
So here we go: 2 awesome new practice problems and 3 new courses covering a variety of machine learning topics and domains. We look forward to your participation!
