Machine Learning Training Online in San Jose

Best Machine Learning Training in San Jose

At SynergisticIT, our world-class industry practitioners have designed the best Machine Learning training in San Jose. This training provides a comprehensive, knowledge-packed, professional learning experience covering a job-oriented curriculum, real-world projects, and case studies. It let you dive into the core and advanced Machine Learning principles like Naïve Bayes, Decision Tree, Linear Regression, Logistics Regression, Hierarchical Clustering, Structured, Semi-Structured, and Unstructured Learning, etc. Our team assists you in each phase, from Machine Learning training to personalized career coaching and interview preps.

Reasons to pursue a Machine Learning Career

Machine Learning is  a subclass of AI that allows machines and computer systems to automatically learn through the fed data, identify patterns, and make decisions with little or no human intervention. There are several benefits of pursuing Machine Learning, such as:

Ensures Career Stability: It has been projected that Machine Learning jobs will be worth $31 billion by 2024. Besides, its global market growth is expected to reach $152.24 billion by 2028 at a CAGR of 38.6%. These whopping numbers show that Machine Learning will remain on the rise for years to come. Thus, getting Machine Learning training in San Jose can be the safest bet for your future. 

A Threshold to the Leading Industries: Machine Learning plays a significant role in major industries like IT, Marketing, Healthcare, Transportation, Finance, Education, Retail, etc. So, taking Machine Learning training in San Jose can be a gateway to work in different sectors.

ML Training

Extravagant  Salaries: Today, around 76% of companies spend on AI and Machine Learning solutions, including some top brands like Airbnb, eBay, Google, Capital One, Apple, Twitter, Adobe, Accenture, etc. Such companies offer rewarding salaries to skilled Machine Learning Engineers ranging from $75,000 to $180,000 a year. You can also increase your potential income by gaining mastery over Machine Learning.  

Different Job Prospects: A quick job search on LinkedIn reveals more than 142,000 Machine Learning jobs in the US. It opens a broad spectrum of job options such as Machine Learning Engineer, Human-Centered ML Designer, Robotics Engineer, NLP Scientist, BI Developer, Data Scientist for professionals well-versed in Machine Learning.  

Talent Crunch:  There is a massive void between the supply and demand of Machine Learning Engineers. As per some reports, 66% skill gap in there in the current Machine Learning job market. You can leverage the opportunity to get upskilled in Machine Learning to bridge the skill gap and meet the demand for qualified ML professionals.

Big Companies looking to hire Machine Learning Engineers

The Curriculum of our Machine Learning Training

Our Machine Learning training in San Jose is curated according to the latest technical advancements. You will learn to effectively apply Machine Learning algorithms by working on live projects, practical assignments, and case studies. By the end, this training will make you competent in building predictive models, deploying ML techniques to analyze data, and drawing useful business insights.

Beginner’s - Artificial Intelligence, Machine Learning and Business Analytics

  • Business Analytics & Business Intelligence
  • How to Work in the Cloud Practical Session
  • Machine Learning & Artificial Intelligence

Advanced - Artificial Intelligence and Machine Learning

  • Decision Tree and Random Forest Algorithm
  • Naïve Bayes and KNN Algorithm
  • Support Vector Machine Algorithm

Deep Learning and Computer Vision

  • Natural Language Processing (NLP) & Text Mining
  • Sentiment Analysis using Text Blob Practical Session and Task
  • Recommendation System Project Session and Task
  • Natural Language Processing using NLTK Practical Session and Task
  • Market Basket Analysis Session and Task

Python and Statistics for Data Science

  • Python Introduction and Practical Task
  • Numerical Python Practical Session and Task
  • Matplotlib Data Visualization
  • Pandas Data Analysis

Data Manipulation: Cleansing – Munging

  • Cleansing Data with Python
  • Filling missing values using lambda function and concept of Skewness.
  • Data Manipulation steps like sorting, filtering, merging, appending, derived variables, formatting, etc.

Data Analysis: Visualization Using Python

  • Introduction exploratory data analysis
  • Descriptive statistics, Frequency Tables and summarization
  • Univariate Analysis
  • Bivariate Analysis
  • Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density)
  • Important Packages for Exploratory Analysis (NumPy Arrays, Matplotlib, seaborn, Pandas.

String Objects and Collection

  • String Object Basics and Methods
  • Splitting and joining strings
  • String Format Functions
  • List object Basics and Methods

Machine Learning-1

  • Introduction
  • Supervised, Unsupervised, Semi-supervised & Reinforcement
  • Train, Test & Validation splits
  • OverFitting & UnderFitting
  • Linear regression
  • R-square & adjusted R-square
  • Intro to Scikit learn
  • Training methodology
  • Hands on linear regression
  • Logistics regression
  • Precision Recall
  • Confusion matrix
  • ROC-Curve

Machine Learning-2

  • Decision tree
  • Cross validation
  • Bias vs variance
  • Ensemble approach
  • Bagging & boosting
  • Random forest
  • Variable importance

Machine Learning-3

  • XGBoost
  • Hyper parameter optimization
  • Random search cv
  • Grid search cv
  • Knearest neighbour
  • Lazy learners
  • Curse on dimensionality
  • KNN issues
  • Hierarchical Clustering
  • K-Means

Machine Learning-4

  • SVR
  • SVM
  • Naïve Bayes
  • Polynomial Regression
  • Ada Boost
  • Gradient Boost
  • Isolation Forest

Deep Learning

  • What is Deep Learning?
  • How do neural networks work?
  • Back propagation
  • ANN in python
  • What are convolutional neural networks?
  • Installing Tensor Flow & Keras
  • CNN in python
  • Activation function & Epoch

Natural Language Processing

  • NLP with Python
  • Sentiment analysis
  • Bags of words
  • Stemming
  • Tokenization

Tableau

  • Working with Tableau
  • Data organization
  • Creation of parameters
  • Advanced visualization
  • Dashboard data presentation

Model Deployment

  • Flask Introduction
  • Flask Application
  • Django end to end
Eligibility for ML training

Prerequisites to take Machine Learning Training

Though our Machine Learning training in San Jose doesn’t require any previous industry experience, candidates are advised to be familiar with the following for better understanding:

 Algorithms, Data structures, Statistics, Calculus, Variables, Linear Equations, and Histograms 

Programming knowledge like Python, Java, or any other language 

Why Choose us for Machine Learning in San Jose ?

SynergisticIT is accredited as the most trusted Machine Learning Bootcamp in San Jose.

We take pride in our top-notch Machine Learning faculty that has more than 10 years of industry experience.

Our focus is to provide highly interactive online sessions; therefore, we only allow 5-7 candidates per class. It enables our live instructors to address all students equally.

We provide career assistance and help candidates prepare for interviews by taking mock tests, cognitive interviews, and psychological assessments.

Our candidates can repeat any session at no extra cost.

Choose us for Machine Learning

Since our founding in 2010, we have established a solid association with the leading Fortune 500 Companies that help us provide guaranteed job placement to our candidates.

Once you complete your Machine Learning training in San Jose, you will get a well-recognized certificate.

Get started with Machine Learning today, fast track your tech career. This online Machine Learning training provides a complete overview of Machine Learning methodologies, to prepare you well for your next occupation as a Machine Learning Engineer. Our instructors allot project work as well as assignments to help you gain some real-world exposure in Machine Learning. Let’s meet your career goals. SynergisticITHome of the Best Data Scientists and Software Programmers in the Bay Area.

train to grow- Machine Learning

Frequently Asked Questions on Machine Learning

What Our Candidates Say About Us ?

Google Reviewer

A great company to further your career an grow as a developer. The management is amazing and you will have an opportunity to get certified in many ways. If you are on OPT, this is a great chance for you to learn about new technologies and gain valuable experience.

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Google Reviewer

Good place in terms of project, skills and level of knowledge attained. Treat you like kids sometimes. Took bootcamp in SF was unable to get a job and came to them on a friend’s referral. I am sure their results speak for themselves. All my peers and me and alumni had offers once we were…

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Minh Ho

Good place for anyone struggling to find a technology job with bigger name clients. I worked with them for some time like a year back or so and after my experience with them I had upgraded my coding skills to the standards of major it organizations. Synergisticit is in my opinion one of the very…

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Menglee Guy

Synergistic was the best decision I made for my career. I worked on multiple projects here. I learned lots of in demand skills relevant to this industry. I was able to obtain multiple job offers in this highly competitive market. Before I joined, I have applied at hundreds of places and maybe a handful would…

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