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Mastering the basics of machine learning is not only an advantage, but a fundamental requirement for accessing high-level career opportunities. Companies such as OpenAI, recognized for projects such as ChatGPT, reward their data scientists with salaries of up to $310,000 per year.
For its part, Amazon offers its senior software development engineers in New York up to $261,500 per year.
Here are some terms that anyone interested in working in the area of machine learning should know to get competitive salaries in the tech industry.
What basic concepts to know about machine learning
To understand the basics of machine learning, it is essential to familiarize yourself with the following terms and principles:
1. Supervised and unsupervised learning
-Supervised: Algorithms that learn from labeled data, where the desired inputs and outputs are known.
– Unsupervised: Algorithms that find patterns in unlabeled data, such as clusters or associations.
2. Machine learning model
Mathematical representation of the problem the algorithm is trying to solve. It can be a simple function or a more complex model that fits the data.
3. Training and evaluation of the model
Training: The process of tuning the model to the training data so that it learns patterns.
Evaluation: A measure of how well the model generalizes to new and unseen data.
4. Feature
Individual variables that form the input for the machine learning model. They can be numerical, categorical or textual.
5. Overfitting and Underfitting
Overfitting: The model is too close to the training data and does not generalize well with new data.
Underfitting: The model is too simple to capture the underlying patterns in the training data.
How to learn from machine learning
For those interested in delving deeper into machine learning, there are a variety of accessible and effective educational options, such as online courses offered by Google. These courses are a great way to gain knowledge from basic fundamentals to advanced techniques in machine learning.
Google courses typically include theoretical content supported by practical case studies and interactive exercises that allow students to apply what they learn in real projects. In addition, these programs are often flexible in terms of schedules, making it easy to adapt to different learning paces and personal responsibilities.
What jobs are related to machine learning?
There is a wide variety of jobs related to machine learning due to its application in numerous industries. Some of the most common and in-demand jobs are:
– Data scientist: Use machine learning techniques to analyze large volumes of data and extract details that help in business decision-making.
– Machine Learning Engineer: Develops and builds machine learning models, implements algorithms, and optimizes the performance of data-driven systems.
– Artificial intelligence specialist: Designs and develops intelligent systems that can learn and adapt autonomously.
– Data analyst: Uses machine learning techniques to perform predictive and exploratory data analysis with the aim of solving specific business problems.
– Machine Learning Scientist: Research and develop new algorithms and techniques in the field of machine learning to improve the efficiency and accuracy of models.
– Artificial intelligence software developer: Designs and builds software that integrates machine learning capabilities for specific applications, such as chatbots, speech recognition, or computer vision.
Which companies are looking for people who know about machine learning
Many companies in various industries are actively looking for professionals with machine learning skills.
– Google: Machine learning is present in products such as the search engine, Google Assistant, Google Translate, and more.
– Amazon: Uses machine learning for product recommendations, optimized logistics, and natural language processing in Alexa.
– Tesla: It uses this technology in autonomous driving and optimizing the energy efficiency of its vehicles.
– IBM: Apply machine learning in health systems, predictive analytics, and cognitive services such as Watson.
– OpenAI: The company is generally looking for talent in various areas of artificial intelligence, including machine learning researchers, data scientists, software engineers specializing in AI.
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