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machine learning certification programs

There is an increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of machine learning technologies. Hence these are concrete to remain the most important technologies in the years to come. We at BIA Classroom fascinated by their world-changing potential, and weu2019ve created the machine learning certification programs, to help students understand the fundamentals of AI and machine learning and how to apply them to solve complex, real-world problems. To know more visit https://www.biaclassroom.com/

AparnaDas
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machine learning certification programs

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  1. Machine Learning

  2. What is Machine Learning • Machine learning is an application of artificial intelligence. • It provides the ability to systems to automatically learn and improve from experience, without being explicitly programmed. • The focus of machine learning is on development of computer programs that can access data and learn from it themselves. • The goal is to minimize human interference.

  3. Machine Learning Methods • Supervised algorithms – these algorithms can apply what has been learned in the past, to new data using labeled examples to predict future events. • Unsupervised algorithms – these are used when the information used to train the system is neither labeled nor classified. • Semi-supervised algorithms - fall somewhere in between supervised and unsupervised learning, since they use both labeled and unlabeled data for training – typically a small amount of labeled data and a large amount of unlabeled data. • Reinforcement algorithm - This method allows machines and software agents to automatically determine the ideal behavior within a specific context in order to maximize its performance.

  4. Language Priority by Machine Learning Scientist

  5. Machine Learning Applications • Retail – Personalised product recommendation, chatbots and robots, mining customer actions, transactions, etc. • Travel – Price determination, sentiment analysis • Healthcare - Drug discovery/manufacturing, personalized treatment/medication • Finance – Fraud detection, investing advices, anti money laundering, focused account holder targeting • Media – personalized news feed, targeted ads, job searches

  6. Responsibilities of a Machine Learning Engineer • Running ML experiments using a programming language with machine learning libraries. • Deploying machine learning solutions into production (in terms of actual execution and scheduling. • Optimizing solutions for performance and scalability. • Ensuring good data flow between databases and backend systems. • Implementing custom machine learning code. • Analyzing data and coming up with use cases.

  7. Machine Learning Job Trends • According to a report from job site Indeed, machine learning engineer is the best job of 2019 due to growing demand and high salaries. • The career boasts a current average salary of $146,085 with a growth rate of 344 percent in 2018. • Indeed set out to find the top 25 jobs for 2019 in their report and nine of them are comprised of tech roles. • AI and Machine Learning job postings on Indeed rose 29.10% over the last year between May 2018 and May 2019.

  8. Bibliography https://www.expertsystem.com/machine-learning-definition/ https://www.expertsystem.com/machine-learning-definition/ https://bit.ly/2HOAeth Boston Institute of Analytics - https://www.biaclassroom.com/ Artificial Intelligence News - https://bit.ly/2LKPdcB Forbes, June 2019 - https://bit.ly/2XHmwQ6 DeZyre.com - https://bit.ly/2JAEKh6

  9. Special thanks…. To Boston Institute of Analytics™ for their knowledge contribution. +91-8657604703 | www.biaclassroom.com

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