Machine Learning Tutorial

What is Machine Learning? Machine Learning Life Cycle Python Anaconda setup Difference between ML/ AI/ Deep Learning Understanding different types of Machine Learning Data Pre-processing Supervised Machine Learning

ML Regression Algorithm

Linear Regression

ML Classification Algorithm

Introduction to ML Classification Algorithm Logistic Regression Support Vector Machine Decision Tree Naïve Bayes Random Forest

ML Clustering Algorithm

Introduction to ML Clustering Algorithm K-means Clustering Hierarchical Clustering

ML Association Rule learning Algorithm

Introduction to association Rule Learning Algorithm


Top 5 programming languages and their libraries for Machine Learning Basics Vectors in Linear Algebra in ML Decision Tree Algorithm in Machine Learning Bias and Variances in Machine Learning Machine Learning Projects for the Final Year Students Top Machine Learning Jobs Machine Learning Engineer Salary in Different Organisation Best Python Libraries for Machine Learning Regularization in Machine Learning Some Innovative Project Ideas in Machine Learning What is Cross Compiler Decoding in Communication Process IPv4 vs IPv6 Supernetting in Network Layer TCP Ports TCP vs UDP TCP Working of ARP Hands-on Machine Learning with Scikit-Learn, TensorFlow, and Keras Kaggle Machine Learning Project Machine Learning Gesture Recognition Machine Learning IDE Pattern Recognition and Machine Learning a MATLAB Companion Chi-Square Test in Machine Learning Heart Disease Prediction Using Machine Learning Machine Learning and Neural Networks Machine Learning for Audio Classification Standardization in Machine Learning Student Performance Prediction Using Machine Learning

Top Machine Learning Jobs

Machine Learning is an important part in many industries. Many companies in different sectors use Machine Learning techniques to improve their production rate and quality. In present days, Machine Learning is on high demand in our industries. So, the jobs of Machine Learning are also improving day by day. These jobs are very attractive according to the salary packages. If you are interested in Machine Learning then this article is for you. You can get a clear idea about different Machine Learning jobs in this article.

Let’s see the different jobs of Machine Learning:

1. Machine Learning Engineer

This job is mainly preferred for the candidates who have a good knowledge about neural networks and cloud. In this job the main role is to manage the data. You have to analyze the data and find some patterns in it. It is a very good job in Machine Learning field. You can extend your knowledge in this job. You will get access of a huge data and it is a great opportunity to learn. Obviously there is responsibility comes with opportunities. You have to handle the things carefully.

2. Artificial Intelligence (AI) Engineer

This job is very much in demand. If you are interested in Artificial Intelligence then you can try to get this job. This job is for development purposes. In this job, you can get access of developing things. You can get a handsome salary in this job. In this job, you have to meet and deal with clients. You have to develop the project in such a way that you can satisfy the client. You will get almost 10 to 14 lakhs in this job.

3. Business Intelligence Developer

Are you are considering whether or not business intelligence is comparable to artificial intelligence? Many people are troubled by this question since they want to quickly and accurately evaluate a business situation. Yes, this role can be related to Artificial Intelligence since a person in it will be using their analytical and BI-centric (i.e., business intelligence-centric) skills to optimize a number of business processes. In fact, the individual is knowledgeable about computer programming and other complex cloud-based platforms for which businesses like Amazon are willing to pay up to 14 lakhs per year. All you have to do increase your interest in this profile so you can land this job, whose demand won't go away.

4. Big Data Engineer

Big Data Engineer is very skilled in creating and maintaining big data structures that can produce results that are in line with business needs. Such engineers are rumored to command not just amazing pay but also fantastic perks in the current market. The most obvious explanation is that they are able to manage both simple and sophisticated customer requirements using languages like Java, SQL, Hadoop, and Kafka. If you start a talk about their pay, you'll learn that in India, they receive a yearly salary of between 7 and 10 lakhs. After a few years of experience, individuals won't find it difficult to earn more than the stated range because they will have developed real-world skills including data structures, R, Python, distributed systems, and data pipelines.

5. Robotics Scientist

On the other hand, Robotic Scientists stand out in the list of AI Job positions. This is so that the individual in question can evaluate the cost-functions related to creating mechanical devices known as robots in addition to designing OSs (Operating Systems). Scientists who are aware of automation make sure that robots execute not only dependably, but also safely and efficiently. Considering if you can adopt this mindset! Yes, although it's advised that you hold a bachelor's degree in robotics, computer science engineering, or a closely related discipline first.

6. Research Scientist

Research Scientists are very in demand because reinforcement learning and benchmarked graphical models won't deteriorate until the next generation surpasses. They can always turn the tables. Additionally, the organizations that hire these people pay them more than the typical range of 6 to 10 LPA for someone with a year's worth of expertise. To get this job, you should be learning about Deep Learning, Natural Language Processing, Advanced-Level Statistics, Computer Perception, Distributed Computing, and many other topics.

7. Data Scientist

Data scientists are considered to be the vice presidents or monarchs of the Artificial Intelligence industry. They care a lot about identifying outstanding data patterns that have the best chance of positively affecting past and present information. Additionally, they possess the great communication skills needed to connect with results that are profitable from a commercial standpoint. In addition to all of this, they have experience in formal or informal SQL, Scala, or Python programming, which enables them to effectively streamline the complexity of the AI assignments given to them by their senior managers or team leaders.