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I will build machine learning, deep learning, data science and ai models for you


I will build machine learning, deep learning, data science and ai models for you

Take a look at these key differences before we dive in further. Machine learning. Deep learning. A subset of AI. A subset of machine learning.

Get I will build machine learning, deep learning, data science and ai models for you

Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without being explicitly programmed. 

It is a method of teaching computers to learn from data, without being explicitly programmed1. 

Machine learning models fall into three primary categories: supervised machine learning, unsupervised machine learning, and reinforcement learning2.

Supervised learning is defined by its use of labeled datasets to train algorithms to classify data or predict outcomes accurately. 

As input data is fed into the model, the model adjusts its weights until it has been fitted appropriately2. Unsupervised learning is used when the data used to train is not labeled and does not have a known output. The goal of unsupervised learning is to identify patterns in data2. 

Reinforcement learning is used when an algorithm learns to behave in an environment by performing certain actions and receiving rewards or penalties for those actions2.

Machine learning is used in a wide range of sectors and businesses1. Here are some examples of machine learning applications:

  • Image recognition
  • Speech recognition
  • Medical diagnosis
  • Statistical arbitrage
  • Predictive analytics
  • Extraction
  • Recommendations for Netflix, Hulu, or Amazon
  • Estimating the price of real estate
  • Determining the degree of fraud in bank transactions
  • Identifying illness risk factors
  • Assessing the riskiness of potential borrowers
  • Predicting the failure of mechanical components
  • Money fraud tracking for Paypal

These are just a few examples. Machine learning is applicable in nearly every industry2.

There are many applications of machine learning1. Here are some examples:

  • Image and speech recognition
  • Natural language processing
  • Recommender systems
  • Anomaly detection
  • Fraud detection
  • Predictive maintenance
  • Robotics
  • Self-driving cars

Machine learning is also used in social media features, product recommendations, image classification, and speech recognition23.

Basic : $50

Standard : $110

Premium : $160

Create basic machine learning/deep learning model in python.

I will build machine learning, deep learning, data science and ai models for you | Fiverr