Harbola DataScience

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How do I learn machine learning roadmap?

Data Science, Machine Learning and the others, are very promising fields that are exciting, fun , and have endless applications. Despite there being a lot of practitioners, there is a shortage of qualified professionals in these areas.

machine learning is a good career path. According to a 2019 report Indeed, Machine Learning Engineer is the top job in terms of salary, growth of postings, and general demand.

According to Glassdoor, AI professionals earn an average income of US$124k per annum, meaning that it is definitely worth it to learn Artificial Intelligence. You can enroll in an online Artificial Intelligence Course offered Intellipaat, one of the leading e-learning institutes in the world.

Honestly, there are a lot of different things that you need to know to become a ML Engineer, but the actual hard skills, the actual skills that you will need to transform data, train a model, and most importantly put it into production are essential and the others are mostly nice to know.

I am going to share a set of steps that you should take to master Machine learning.

  1. Step 1: Pick a programming language & Get Started! …
  2. Step 2: Learn Linear Algebra. …
  3. Step 3: Learn Statistics. …
  4. Step 4: Learn Core ML Algorithms. …
  5. Step 5: Learn Python Libraries. …
  6. Step 6: Learn Deployment.

Some of the data science fundamentals that machine learning engineers rely on include familiarity with programming languages such as Python, SQL, and Java; hypothesis testing; data modeling; proficiency in mathematics, probability, and statistics (such as the Naive Bayes classifiers, conditional probability, likelihood .

It can be broken down into 7 major steps :

  • Collecting Data: As you know, machines initially learn from the data that you give them. …
  • Preparing the Data: After you have your data, you have to prepare it. …
  • Choosing a Model: …
  • Training the Model: …
  • Evaluating the Model: …
  • Parameter Tuning: …
  • Making Predictions.

How do I become an ML engineer at Google?

Qualifications

  1. Bachelor’s degree or equivalent practical experience.
  2. 3 years of software development experience, or 1 year with a relevant advanced degree.
  3. Experience in applied machine learning or artificial intelligence.

complete details.

What do ml engineers do?

A machine learning engineer (ML engineer) is a person in IT who focuses on researching, building and designing self-running artificial intelligence (AI) systems to automate predictive models.

Can a fresher get a job in machine learning?

A fresher can get a machine learning job if he/she masters the required skills. To have a successful career in the machine learning landscape, freshers need to plan on how they can perform well and work closely with people who have considerable experience in the same field.

Is Python mandatory for machine learning?

Yes it’s necessary. You want to learn machine learning means you want to play with different types of data, models, validations, optimising hyper-parameters, visualize what’s happening inside the algorithms, vectorise your variables etc. There are dedicated libraries for each of these tasks in Python.

you may read this post for python related doubts and questions.

Chitranshu Harbola

Self taught programmer, Web Developer and an aspiring Machine learning engineer cum Data Science student

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