Engage Digital Engine's skilled data scientists to proficiently handle and interpret vast volumes of unstructured data. With deep expertise in analysis, visualization, and preprocessing of intricate data sets, they utilize both manual methods and sophisticated tools such as Pandas and NumPy. This meticulous preparation ensures the data is primed for efficient AI model training, enhancing the overall machine learning workflow.
We Take Pride in Our Numbers!
8+
Years of Experience
30+
Countries serviced
700+
Projects completed
50+
Developers
Services Offered by Digital Engine's Data Scientists
Employ Digital Engine's data scientists to unlock the power of data and propel your business growth.
Data Gathering and Preprocessing
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Digital Engine's data scientists specialize in gathering both structured and unstructured data through web scraping and API integration. They employ advanced techniques such as feature engineering and data normalization to prepare the data for model training, ensuring it is optimized for effective analysis and insight generation.
Algorithm Selection and Hyperparameter Tuning
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Our data scientists apply methods such as Exploratory Data Analysis (EDA), experimentation, and hypothesis testing to identify the most suitable machine learning algorithm for your project. To optimize model performance, they employ techniques like Grid search and Bayesian optimization for hyperparameter tuning, eliminating inefficiencies and enhancing the model's effectiveness.
Model Evaluation
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After deployment, our data scientists monitor the model using evaluation metrics such as precision, accuracy, recall, and F1 score to identify and rectify any anomalies. This rigorous analysis helps pinpoint underperforming segments, allowing for targeted improvements to optimize the model's overall performance and effectiveness.
Data Annotation
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Our data scientists facilitate pattern recognition and enhance the accuracy of machine learning predictions by meticulously labeling and categorizing data. They utilize both manual techniques and automated tools, such as Hugging Face’s datasets library, to ensure the data is optimally prepared for algorithm training and analysis.
Model Training and Validation
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We employ a variety of machine learning techniques, including supervised learning, unsupervised learning, and reinforcement learning, to train our models effectively. To ensure their accuracy, we validate these models using robust methods such as cross-validation, confusion matrix, and ROC curve analysis, guaranteeing their reliability and performance in real-world applications.
Consultancy
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Our data scientists are adept at identifying your business's challenges, analyzing your data to extract valuable insights, and formulating a comprehensive strategy. This approach enables you to fully leverage your data's potential, facilitating well-informed, data-driven decisions that foster business growth.
Methods Used by Digital Engine's Data Scientists to Extract Insights From Data
Machine Learning Algorithms ​
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Our data scientists utilize a variety of machine learning algorithms, including decision trees, linear regression, logistic regression, random forests, support vector machines, and K-nearest neighbors (KNN). These methods are employed for classification, regression, clustering, and dimensionality reduction tasks to construct advanced AI models tailored to specific business needs.
Supervised Learning
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Our data scientists meticulously curate labeled datasets for training AI models, selecting the most suitable model architecture, defining loss functions and optimization algorithms, and fine-tuning hyperparameters to ensure optimal performance.
Transfer Learning
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We opt for a pre-trained model that aligns with the task at hand and has been trained for a similar purpose. Our data scientists meticulously curate the dataset for fine-tuning the model, ensuring it meets the specific requirements of the project. Additionally, they focus on tuning the model's hyperparameters to achieve optimal performance.
NLP
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Our data scientists leverage a variety of NLP toolkits, including NLTK and SpaCy, along with techniques like tokenization, stemming, and lemmatization. These tools and methods enable us to identify root words in text data and simplify it by breaking it down into smaller, more manageable components.
Deep Learning
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We employ a range of deep learning algorithms such as neural networks, CNNs, RNNs, and autoencoders to extract insights from data and develop accurate AI models for diverse applications.
Unsupervised Learning
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Our data scientists leverage unsupervised learning algorithms to uncover patterns and relationships within unlabeled data. They meticulously select and interpret these algorithms to extract meaningful insights and draw actionable conclusions from the data.
Reinforcement Learning
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Our developers, with their vast experience in deploying and scaling advanced AI-based solutions, are proficient in major cloud computing platforms like AWS, Google Cloud, and Microsoft Azure.
Computer Vision
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We harness the power of computer vision to interpret and analyze digital images and videos. Our approach involves employing a range of tools and techniques, including feature extraction, image processing techniques, and state-of-the-art frameworks like OpenCV and TensorFlow.
AI Models We Have Expertise In
GPT-4
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A collection of OpenAI models that, because of their enhanced general knowledge and sophisticated reasoning abilities, are very accurate at solving complicated issues.
LLaMA​
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A basic large language model called LLaMA (Large Language Model Meta AI) can create text, hold conversations, summarise textual content, solve mathematical theorems, and predict protein structures.
PaLM 2​
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The most recent version of Google's comprehensive language model excels in carrying out complex reasoning tasks like code interpretation, mathematical solutions, classification, answering queries, and multilingual translation. This model, which outperforms earlier attempts at natural language production, demonstrates Google's dedication to ethical AI.
Claude​
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Anthropic's Claude is a large language model (LLM) that was developed as a virtual assistant and is compatible with business processes. Claude can be accessed in Anthropic's developer console via both an API and chat interface. It is capable of handling a wide variety of conversational and text-processing tasks.
DALL.E
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Based on language prompts, OpenAI's DALL·E produces realistic visuals and artwork. It can create photos with a given size, edit already-existing images, and create several versions of images that the user uploads.
Whisper​
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Whisper is an OpenAI model for general-purpose speech recognition that can also translate speech, identify languages, and recognize speech in many languages.
Stable Diffusion​
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In addition to producing detailed images in response to text cues, Stable Diffusion can be utilized for tasks such as text-guided image-to-image translations and inpainting.
phi-2​
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Phi-2 is a sophisticated 2.7 billion parameter Transformer that performs close to top-tier on important language understanding and reasoning benchmarks. It is enhanced with a variety of NLP data.
Google Gemini
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Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, and Gemini Nano, it was announced on December 6, 2023.
Vicuna​
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Vicuna is a chatbot designed for AI, NLP, and machine learning research. It is based on Llama 2 and was improved with user interactions via ShareGPT. Its target users are researchers and enthusiasts in these fields.
Mistral-7B-v0.1
Mistral-7B is a decoder-based LM that performs two tasks: it creates material and modifies it by categorizing user prompts and answers into groups that include illicit acts such as fraud, child abuse, and terrorism.
bloom-560m
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In addition to direct language exploration, the Bloom-560M model serves specific tasks including information extraction, question answering, and summary for public research in text generation and analysis.
Technology Stack Digital Engine's Data Engineers Use
AI Frameworks
Cloud Platforms
Integration and Deployment Tools
Algorithms
- Supervised/unsupervised learning
- Clustering
- Metric learning
- Few-shot learning
- Ensemble Learning
- Online Learning
Neural Networks
- CNN
- RNN
- Representation Learning
- Manifold Learning
- Variational Autoencoders
- Bayesian Network
- Autoregressive Networks
- Long Short-term Memory (LSTM)
Programming Languages
Databases
Collaborative Tools
Data preprocessing tools
Data Visualization
Some of Our AI Projects
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LLM-powered Application for Safer Machinery Troubleshooting
Clinical Decision Support System driven by GenAI
App for Compliance and Security Access Powered by LLM
Our Unique Engagement Ecosystem
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Discovery Consultation​
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Embark on a personalized journey with a discovery consultation tailored to your business needs. Our experts delve deep into understanding your goals, challenges, and aspirations, laying the foundation for a unique engagement strategy.
Dedicated Development Team
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At Digital Engine, our adept developers seamlessly integrate avant-garde cognitive technologies, sculpting a tapestry of high-quality services and bespoke solutions meticulously crafted for our esteemed clients' digital aspirations
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Custom Solution Crafting​
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Our team meticulously crafts bespoke solutions designed exclusively for your business landscape. Leveraging cutting-edge technologies and innovative approaches, we tailor our services to seamlessly align with your objectives and vision.
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Agile Developmental Framework​
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Embrace agility with our development framework, ensuring adaptability to evolving project dynamics. Witness a transparent, iterative process that prioritizes feedback, incorporates changes seamlessly, and delivers tangible results at every milestone.
Continuous Communication Channels
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Stay connected with our dedicated communication channels for regular updates and interactive feedback, fostering a collaborative partnership at every step.
Performance Optimization and Growth Strategies
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Beyond project completion, our commitment extends to performance optimization and growth strategies. Benefit from post-engagement support, data-driven insights, and ongoing enhancements to ensure your digital journey continues to evolve and thrive.
Let's Work Together
1. Contact Us
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Fill out the Contact Form and get in touch with us
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2. Get a Consultation
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Get on a call with Digital Engine's experts
3. Get aCost Estimate​
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For your project needs, we offer a tailored proposal with budget and timeline details.
4. Project Launch​
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After project approval, we assemble a cross-disciplinary team to initiate your project.
We Build for You. Whatever You Need!
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