We hear the terms Artificial Intelligence , Machine Learning , and Data Science almost daily. From facial recognition on the phone, to chatbots like ChatGPT these fields are shaping the future. But do we truly understand the differences between them? Many people use AI, ML, and Data Science interchangeably, but in reality, they serve different […]
Things that were once shown in science fiction are now the reality of the world we live in. We have mobile applications that can predict our daily needs and autonomous cars like Tesla that can drive themselves. All this is possible due to Machine Learning . Machine learning (ML) is the backbone of today’s technology […]
Have you noticed how Siri understands your request effortlessly and how Netflix seems to know exactly what you’ll want to watch next? These simple interactions are not magic or coincidence, but are the common application of Artificial Intelligence. AI influences every aspect of our lives. We interact with it every day, whether during exercise, work, […]
Welcome to the fourth blog in WeCloudData’s Prompt Engineering Series! In the previous blog we explored basic prompt engineering techniques, such as zero-shot prompting and few-shot prompting. These techniques are effective in helping large language models to produce contextually relevant output. This blog is an introduction to a more advanced technique known as chain of […]
For those of you who read my last blog, I looked at how the data science job market had performed in 2023 – at least since August when the data collection began. The end of the calendar year provided a fitting moment to take a step back and assess what had transpired in the ensuing […]
Online Shopping Redefined: Predicting Shopper Behavior with Machine Learning
Revolutionize healthcare with machine learning for early disease detection. Explore cutting-edge solutions improving everyday health, ensuring timely interventions for a healthier future. #HealthTech #MachineLearning #DiseaseDetection
Machine Learning Engineer: Navigate the evolving landscape of ML in 2024 with insights from WeCloudData’s workshop. Explore the structured ML pipeline, data engineering essentials, model engineering nuances, ML Ops challenges, and diverse tools. Build robust ML systems and embark on a successful journey into the dynamic world of ML engineering.
Client Info Our client is one of Canada’s largest construction vehicle suppliers. They employ thousands of skilled technicians across multiple provinces to support their clients and are known for their excellent customer service and quality of work. The technicians handle repair and maintenance services for their client’s purchased vehicles. For each job that a technician […]
Background Our client is a company manufacturing consumer electronic products like mobile devices, printers, computer monitors and so on, who is leading the electronic goods merchant wholesalers industry for many years. Their advanced data analytics team connected to WeCloudData for the machine learning solution on predicting their top merchandize sales and marketing strategies on their […]
Background Our client is one of the largest news publishers in North America. With their print and digital formats reach millions of readers every week, they lead the national discussion by engaging audiences through its prestigious coverage of news, politics, business, investing and lifestyle topics, across multiple platforms. The WeCloudData team worked with the client’s […]
Executive Summary WeCloudData is one of the fastest growing Data & AI training companies in the world. Since 2016, WeCloudData has trained and helped thousands of students and clients level up their data skills and mature their data organizations. As organizations continue to undergo digital transformations all over the world, enterprises are experiencing pains that […]
Client Info Our client is one of Canada’s most well-established and decorated news outlets. They have been the recipient of numerous journalism awards and have a reach of millions of readers for their print and digital content across all news categories. In the early to mid 2010s, our client began to shift its focus towards […]
The blog is posted by WeCloudData’s student Sneha Mehrin. Overview on how to ingest stack overflow data using Kinesis Firehose and Boto3 and store in S3 This article is a part of the series and continuation of the previous post. Why using Streaming data ingestion? Traditional enterprises follow a methodology of batch processing where you […]
The blog is posted by WeCloudData’s student Amany Abdelhalim. In this post, I will be taking you through the steps that I performed to preprocess the Criteo Data set. Some Aspects to Consider when Preprocessing the Data Criteo data set is an online advertising dataset released by Criteo Labs. It contains feature values and click feedback […]
The blog is posted by WeCloudData’s Bid Data course student Udayan Maurya. Customer reviews are invaluable information to understand the gap in your product market fit. If you sell your products on e-platforms: Amazon, Ebay, Appstore, Playstore, Youtube, etc. then you are in luck. You have direct access to your customers mind. However, to leverage customer’s […]
The blog is posted by WeCloudData’s Big Data course student Udayan Maurya. This Live Twitter Sentiment Analyzer helps track present sentiment for a given track word. In this document, I will describe the work flow I followed to develop this SaaS app. Contents Data Pipeline Map Data Collection Preparing Data for Data Analysis Training the […]
The blog is posted by WeCloudData’s Big Data course student Abhilash Mohapatra. This story represents an easy path for below items in AWS : Build an Big Data Pipeline for both Static and Streaming Data. Process Data in Apache Hadoop using Hive. Load processed data to Data Warehouse solution like Redshift and RDS like MySQL. […]
This is the first project that I have done for WeCloudData. The purpose of this project is to find the relationship between housing prices in Toronto(GTA) in relation to location, house size, number of bedrooms and number of bathrooms. We start by scraping data from Kijiji through the URL requests. Then we parse our data source […]
This blog is posted by WeCloudData’s Data Science Bootcamp student Austin Jung. Customer churn is a common business problem in many industries. Losing customers is costly for any business, so identifying unhappy customers early on gives you a chance to offer them incentives to stay. In this post, I am going to talk about machine […]
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