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The world has entered the age of Artificial Intelligence. As more and more businesses look for tailor-made AI solutions to improve various aspects of their business operations, it’s almost a crime not to embrace the power of Artificial Intelligence and Machine Learning.
An October 2023 survey titled “Small Business AI Adoption Survey” by the Small Business & Entrepreneurship Council (SBEC) reveals how a large number of small businesses have shifted focus to AI-driven tools to improve efficiency and save billions of dollars annually.
“Small business owners have rapidly embraced AI, and the range of tools and applications are helping to boost profitability, productivity, and competitiveness at a time when they need such support. In fact, 93% of small business owners agree that AI tools offer cost-effective solutions that drive savings and improve profitability,” SBEC CEO Karen Kerrigan.
According to the report:
- 48% of small businesses in the US have adopted AI tools to improve efficiency in the last 12 months.
- 29% have been using at least one AI tool for the last 1-2 years.
Tools like ChatGPT, Upmetrics, ClickUp, Jasper, Zia, ChatSpot, DALL-E 2, Manatal, Motion, Lumen 5, and Otter.ai have found wide acceptance among small business owners and how! AI tools save time and money.
Here’s something to blow your mind from the same SBEC survey:
- 41% of small businesses embracing AI tools are using machine learning to maximize the timely output of employees and Team Leads alike.
- 39% of small businesses are using AI tools to develop innovative solutions for improved client interaction and retention.
- 37% of small businesses embracing AI tools report that they have invested money saved thanks to these tools into buying new technologies to improve business operations.
- 34% of startups and SMBs leveraging AI tools reported utilizing money saved via AI tools to promote business. 25% used the same money to increase wages and employee benefits and set aside funds for emergencies.
- 36% of these businesses report that they were able to stabilize prices for customers even in an inflationary environment thanks to AI tools. And 20% were able to reduce their debt burden by leveraging different AI tools.
The survey also reveals that 33% of small businesses believe AI applications tailor-made for their enterprises can give them the much-required edge to beat the competition.
Okay. So, AI is cool. But where does Scikit-Learn fit in the big picture? And why must you hire a Scikit-Learn developer? Before we tell you why you need a Scikit-Learn developer, here’s all you need to know about the platform.
Scikit-Learn Demystified
This part is for those who are still in the dark about Scikit-Learn.
Scikit-Learn is a powerful, open-source library designed for Python. Essentially a huge collection of tools for Data Mining and Analysis, Scikit-Learn finds application in the fields of Data Science and Artificial Intelligence.
Origin Story
Scikit-Learn was developed by Data Scientist David Cournapeau in 2007 as part of his Google Summer of Code project. The library was opened to the public in 2010 and has since witnessed a deluge of contributions from developers worldwide. In case you were wondering, Scikit-Learn is built on top of popular Python libraries like NumPy, SciPy, Matplotlib, etc.
Features and Capabilities of Scikit-Learn
Scikit-Learn contributes to the various stages of the machine learning workflow with its powerful set of tools. Data Processing, feature selection, model training, evaluation, deployment – you name it, and Scikit-Learn is up for the task.
Here are some features of Scikit-Learn that make it so special:
- User-friendly API
To say that Scikit-Learn is user-friendly would be an understatement. Scikit-Learn experts use it to experiment with all sorts of different algorithms. Its intuitive interface lets programmers integrate Scikit-Learn’s various tools with those of other Python libraries to build robust programs.
- Comprehensive Algorithms
Scikit-Learn’s library contains a wide range of supervised and unsupervised machine learning algorithms. Linear regression, logistic regression, decision trees, random forests, support vector machines, k-means Clustering – Scikit Learn has all the algorithms a Data Scientist needs to tackle any machine learning challenges.
- Preprocessing and Feature Extraction
Data preprocessing forms a big part of the challenge of training an AI model. Scikit-Learn makes short work of that too with tools for data scaling, normalization, handling missing values, and encoding categorical variables. Tools such as Principal Component Analysis (PCA) comprise a major part of Scikit-Learn’s feature extraction algorithms to extract important features from high-dimensional data sets.
- Model Evaluation and Selection Tools
Scikit-Learn has powerful tools to evaluate model performance based on classification, regression, clustering tasks, and other metrics. Nothing beats Scikit-Learn when it comes to model selection techniques. Tools such as cross-validation and hyperparameter tuning ensure that models perform to the best of their potential.
- Integration
Scikit-Learn integrates seamlessly with other Python libraries like Pandas, Matplotlib, TensorFlow, PyTorch, etc. This makes Scikit-Learn an invaluable tool for AIML developers.
So, basically, when you hire a Scikit-Learn developer, they unleash the power of machine learning and AI into custom-made tools to streamline your business operation and make it more profitable.
In other words, when you hire a Scikit-Learn Developer you increase your chances of success many times.
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“Machine learning is the backbone of today’s business, turning data into insights and insights into action and predictability. That’s why machine learning is highly useful,” Adnan Masood, PhD, Chief AI Architect at UST
At this point, we go back to answering your original question, “Why must I hire a Scikit-Learn Developer?” Here are some common use cases for machine learning to give you the answe
1. Chatbots
We are familiar with chatbots, aren’t we? Apple’s Siri and Amazon’s Alexa are the most popular and widely used chatbots worldwide. Different institutions as varied as the banking and automotive sectors use chatbots on their websites as the first line of communication with their clients.
In case you didn’t know, chatbots are software applications developed using machine learning and natural language processing (NLP) to mimic human conversational capabilities. These bots use preprogrammed scripts to select answers to customer queries. And how good they are at that!
The next time you talk to a chatbot, remember it was built by a developer with knowledge of Scikit-Learn. You can have your custom chatbot too. All you need to do is hire a Scikit-Learn developer and let them work their magic.
2. Recommendation Engines
How many times have you opened YouTube or a popular e-commerce app and wondered, “How come these guys are able to recommend exactly what I am looking for?” Well, thank AI/ML experts like Scikit-Learn developers for that!
If you are planning to venture into the online streaming or e-commerce business, you need to hire a Scikit-Learn developer. They use powerful sklearn algorithms to preprocess data such as company inventory, customers’ buying habits, and past purchase records to home in on the perfect recommendations for online shoppers.
3. Dynamic Pricing
“You look at consumer behavior and buying patterns to move your pricing up and down; it’s a very valuable use of machine learning for companies,” Vikas Agarwal, financial services risk and regulatory leader at PwC.
Dynamic pricing leverages machine learning to adjust products and service pricing in real-time, based on a multitude of factors like current market conditions, consumer demand, product availability, etc. Dynamic airline ticket prices, hotel room rates, and ride-sharing fares are all examples of machine learning put to good use by retail and service sector companies.
If you are in the retail or service sector or are into developing smart solutions for clients in the said sectors, you need a Scikit-Learn developer to design dynamic pricing algorithms to go with your website. That makes user experience so much better and holistic.
4. Customer Segmentation, Retention, Targeted Marketing, and Forecasting
Machine learning capabilities built into Customer Relationship Management systems or CRMs give insight into a number of things including:
- Identifying high-value customers.
- Spotting repeat customers.
- Identifying downright haters with bad reviews of the company.
- Charting consumer demographics and geographical distribution.
And the list goes on and on. When you hire a Scikit-Learn developer to write an algorithm to integrate with your CRM, you end up with crucial insights on:
- Offers to retain high-value customers.
- Woo repeat customers into increasing their spending. In other words, increase Average Revenue Per User (ARPU).
- Find out ways to convert the haters into loyal customers.
- Increase market penetration.
All this means more business and more profits for your venture.
Top-tier Scikit-Learn Development Expertise at Your Fingertips
What You Get When You Hire Dedicated Scikit-Learn Developers from Remote Resource™
When you hire a Scikit-Learn developer, you give yourself the opportunity to integrate the best in AI technology into your everyday business processes and product development. That’s a surefire way of beating the competition.
Here’s how full-time sklearn developers can help your business:
Develop and implement machine learning models
01
Your dedicated Scikit-Learn developer from Remote Resource TM uses machine learning and Artificial Intelligence to design, develop, and deploy cutting-edge applications to solve real-world problems hindering business growth.
Building generative AI applications
02
When you hire a Scikit-Learn developer from us, they collaborate with cross-functional teams to conceptualize and build generative AI applications. They push the boundaries of AI technology to deliver smart solutions that improve efficiency and save money at the same time.
Data preprocessing and analysis
03
Your hired Scikit-Learn developer collects and preprocesses large volumes of data for evaluation and training and identifies ways to improve the performance of AI models.
Model training and evaluation
04
Your full-time sklearn developer uses the best practices in model selection and hyperparameter training tuning to evaluate model performance and make upgrades.
Stay Up to date
05
In the dynamic world of AI systems and machine learning, staying up to date is everything. When you hire Scikit-Learn developers from us, you can rest assured that they will keep abreast of the latest developments in their domain so that you don’t hit roadblocks with new challenges.
Documentation and Communication
06
Our Scikit-Learn experts take pride in documenting their research for posterity. When you hire Scikit-Learn developers from us, they will ensure that future teams can utilize the core concepts of their research to develop more robust and adaptable solutions.
“The playing field is poised to become a lot more competitive, and businesses that don’t deploy AI and data to help them innovate in everything they do will be at a disadvantage.”
Paul Daugherty, Chief Technology and Innovation Officer, Accenture.
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Experience Hassle-free Onboarding.
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Frequently Asked Questions
You can always ask for demos, and our Scikit-Learn developers will be more than happy to showcase their expertise. But please don’t ask for actual client work samples. It’s a strict ‘No’ for us! We sign strict non-disclosure agreements with our clients and have stringent IP protection policies in place to safeguard client interests.
For starters, we hire only the best talents in the country for our clients. We don’t bind you with long-term contracts but believe in forging long-lasting relationships with our clients. Our mantra is to deliver prompt service with enough accountability to make you feel comfortable with our quality of service.
You will be pleased to know that English is widely spoken and understood in India and serves as the most popular medium of education in the country. We at Remote Resource TM thoroughly test the English proficiency of all our employees to ensure clarity and uninterrupted communication between clients and their hired resources. Our resources are also adept in remote team management tools like Basecamp and MS Teams so that you can monitor their progress easily from anywhere.
When you hire Scikit-Learn developers from us, we make sure they work according to your time zone and business hours. That way you can have your dedicated remote resource report to you, attend meetings, and work on their assigned projects without worrying about communication gaps.
We don’t believe in tying your hands with long-term contracts. Our price plans are transparent and flexible. You can keep your remote resource for as long as you want or discontinue their services by giving us two weeks to a month’s notice.
At Remote Resource TM we guarantee our clients zero employee liabilities. That means no legal hassles for you in case of disputes with your remote Scikit-Learn developer or virtual assistant.
We pride ourselves in only working with the best talents in any given domain. Every candidate we hire gets the right environment to showcase and hone their skills and feel part of one big family. This makes our retention rate for remote Scikit-Learn experts one of the highest worldwide.
We are an ISO 27001:2013 and ISO 9001:2015 certified company. Our employees work only on company laptops/systems with inbuilt redundancies preventing data transfer outside the system. We also promote working on remote desktops on the client’s server or ours. We have strict NDAs in place to ensure that your business data and intellectual properties stay protected at all times.
