Ken  Mueller

Ken Mueller

1596124020

Machine learning and deep learning in one liner using Libra

With the rise of machine learning, we have seen the rise of many great frameworks and libraries like sci-kit learn, Tensorflow, Pytorch. These frameworks have made it easier for users to create machine learning models easily. But still one needs to follow the whole procedure that includes Data preparation, Modelling, Evaluation. Data preparation contains data cleaning and pre-processing. Modeling takes in the pre-processed data and uses algorithms to predict the result. Evaluation gives us a measure of how well our algorithm is performing. Due to these libraries and frameworks, our time to write everything is reduced but still, we need to write a handful amount of code.

“Machine intelligence is the last invention that humanity will ever need to make.” -Nick Bostrom

The advancements in this field are increasing day by day with the help of amazing open source communities which gave rise to the existing frameworks. Think about a framework that does all of the above-mentioned processes in a single line. Yes, you read it right, now you can also do that. Libra is a framework that does that work for you in a single line. It’s also easy to use even for a non-technical person. Libra requires the least average number of lines to train the model.

Image for post

Image taken from the documentation

In this blog, I will give complete guidance on how to use Libra. I will be taking different datasets for a different problem and will show you step by step approach.

Credit Card Fraud Detection Using Libra

I have used the Kaggle dataset for the prediction of credit card fraud. The data has already gone through the principal component analysis, so it is now reduced to less dimensional data as compared to the original one. It requires following a systematic approach while solving this problem. In the General way, you will follow the sequence mentioned in the first paragraph. But with Libra, you don’t have to worry about it.

Link of dataset https:/``[/www.kaggle.com/mlg-ulb/creditcardfraud](https://colab.research.google.com/drive/1khr-nqQVkP_XMUQ5y8GWrK5AUS41lyzC#)

Most of the transactions in this data are Non-Fraudulent (99.83 Percent) of the time, while Fraudulent transactions occur (0.17 percent) of the time in the dataset. Which means that the data is highly imbalanced. Let us see how well Libra preprocess the data and gives us the result.

Installing Libra

pip install -U libra

Importing client from libra

from libra import client

Using Libra

Everything is built around the client object. You can call different queries on it and everything will be stored under the models field of the object.

We pass the location of our file in the client object and name it as newClient. Now to access various queries refer to the documentation. I am using a decision tree here. Instruction in the English language is a statement that represents the task you would like to complete. For example, predict the median house value, or please estimate the number of households. Else the instruction should correspond to a column in the dataset. Libra Automatically detects the target column but just to be sure that it select the right column, I have passed the target column name.

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Machine learning and deep learning in one liner using Libra
sophia tondon

sophia tondon

1620898103

5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

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Visit Blog- https://www.xplace.com/article/8743

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Ray  Patel

Ray Patel

1625843760

Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

  • revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
  • microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
  • Anaconda 4.2 – Anaconda is an opensource Python package

#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services

Marget D

Marget D

1618317562

Top Deep Learning Development Services | Hire Deep Learning Developer

View more: https://www.inexture.com/services/deep-learning-development/

We at Inexture, strategically work on every project we are associated with. We propose a robust set of AI, ML, and DL consulting services. Our virtuoso team of data scientists and developers meticulously work on every project and add a personalized touch to it. Because we keep our clientele aware of everything being done associated with their project so there’s a sense of transparency being maintained. Leverage our services for your next AI project for end-to-end optimum services.

#deep learning development #deep learning framework #deep learning expert #deep learning ai #deep learning services

Nora Joy

1604154094

Hire Machine Learning Developers in India

Hire machine learning developers in India ,DxMinds Technologies is the best product engineering company in India making innovative solutions using Machine learning and deep learning. We are among the best to hire machine learning experts in India work in different industry domains like Healthcare retail, banking and finance ,oil and gas, ecommerce, telecommunication ,FMCG, fashion etc.
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Hire machine learning developers in India ,DxMinds Technologies is the best product engineering company in India making innovative solutions using Machine learning and deep learning. We are among the best to hire machine learning experts in India work in different industry domains like Healthcare retail, banking and finance ,oil and gas, ecommerce, telecommunication ,FMCG, fashion etc.

Services

Product Engineering & Development

Re-engineering

Maintenance / Support / Sustenance

Integration / Data Management

QA & Automation

Reach us 917483546629

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Nora Joy

1607006620

Applications of machine learning in different industry domains

Machine learning applications are a staple of modern business in this digital age as they allow them to perform tasks on a scale and scope previously impossible to accomplish.Businesses from different domains realize the importance of incorporating machine learning in business processes.Today this trending technology transforming almost every single industry ,business from different industry domains hire dedicated machine learning developers for skyrocket the business growth.Following are the applications of machine learning in different industry domains.

Transportation industry

Machine learning is one of the technologies that have already begun their promising marks in the transportation industry.Autonomous Vehicles,Smartphone Apps,Traffic Management Solutions,Law Enforcement,Passenger Transportation etc are the applications of AI and ML in the transportation industry.Following challenges in the transportation industry can be solved by machine learning and Artificial Intelligence.

  • ML and AI can offer high security in the transportation industry.
  • It offers high reliability of their services or vehicles.
  • The adoption of this technology in the transportation industry can increase the efficiency of the service.
  • In the transportation industry ML helps scientists and engineers come up with far more environmentally sustainable methods for powering and operating vehicles and machinery for travel and transport.

Healthcare industry

Technology-enabled smart healthcare is the latest trend in the healthcare industry. Different areas of healthcare, such as patient care, medical records, billing, alternative models of staffing, IP capitalization, smart healthcare, and administrative and supply cost reduction. Hire dedicated machine learning developers for any of the following applications.

  • Identifying Diseases and Diagnosis
  • Drug Discovery and Manufacturing
  • Medical Imaging Diagnosis
  • Personalized Medicine
  • Machine Learning-based Behavioral Modification
  • Smart Health Records
  • Clinical Trial and Research
  • Better Radiotherapy
  • Crowdsourced Data Collection
  • Outbreak Prediction

**
Finance industry**

In financial industries organizations like banks, fintech, regulators and insurance are Adopting machine learning to improve their facilities.Following are the use cases of machine learning in finance.

  • Fraud prevention
  • Risk management
  • Investment predictions
  • Customer service
  • Digital assistants
  • Marketing
  • Network security
  • Loan underwriting
  • Algorithmic trading
  • Process automation
  • Document interpretation
  • Content creation
  • Trade settlements
  • Money-laundering prevention
  • Custom machine learning solutions

Education industry

Education industry is one of the industries which is investing in machine learning as it offers more efficient and easierlearning.AdaptiveLearning,IncreasingEfficiency,Learning Analytics,Predictive Analytics,Personalized Learning,Evaluating Assessments etc are the applications of machine learning in the education industry.

Outsource your machine learning solution to India,India is the best outsourcing destination offering best in class high performing tasks at an affordable price.Business** hire dedicated machine learning developers in India for making your machine learning app idea into reality.
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Future of machine learning

Continuous technological advances are bound to hit the field of machine learning, which will shape the future of machine learning as an intensively evolving language.

  • Improved Unsupervised Algorithms
  • Increased Adoption of Quantum Computing
  • Enhanced Personalization
  • Improved Cognitive Services
  • Rise of Robots

**Conclusion
**
Today most of the business from different industries are hire machine learning developers in India and achieve their business goals. This technology may have multiple applications, and, interestingly, it hasn’t even started yet but having taken such a massive leap, it also opens up so many possibilities in the existing business models in such a short period of time. There is no question that the increase of machine learning also brings the demand for mobile apps, so most companies and agencies employ Android developers and hire iOS developers to incorporate machine learning features into them.

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