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David McCarter's VB tips and techniques David McCarter by
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Publication details: Delhi: Apress, 2000
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Next generation databases : NoSQL, NewSQL, and Big Data/ Harrison, Guy by
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Publication details: New York: Apress, 2021
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Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras by
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Deep learning with Python : a Hands-on introduction By Nikhil Ketkar. by
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Introduction to Deep learning Using R: A Step-by-Step Guide to Learning and Implementing Deep learning Models Using R by
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Publication details: India: Apress, 2020
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Nezt generation big data :practical guide to Apachekudu,impala and spark by
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Publication details: Apress 2018
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Beginning artificial intelligence with the Rapsberry Pi by
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DevOps for sharepoint :with packer,Terraform,ansible and vagrant by
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Publication details: Apress, 2019
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Practical JAVA machine learning by
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Publication details: South Asia, Apress, 2019
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Pro python best practices by
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Publication details: Apress 2018
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Deep learning with Azure by
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Publication details: Apress 2019
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Practical Microsoft Azure laas by
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Practical data science :A guide to building the technology stack for turning data lakes in to business assets by
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Python for data mining quick syntax reference by
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Arduino programming with .NET and sketch by
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Using R for Statistics by
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MATLAB machine learning by
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Pro Hadoop Data Analytics : Designing and Building bBg Data Systems Using the Hadoop Ecosystem by
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Publication details: California: Apress, 2018
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Python projects for beginners : A ten-week bootcamp approach to Python programming by
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Artificial intelligence basics A non-technical introduction by
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Python graphics A reference for creating 2D and 3D images by
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Functional programming in R Advanced statistical programming for data science, analysis and finance by
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Mastering machine learning with Python in six steps A practical implementation guide to predictive data analytics using Python by
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Deep learning projects using TensorFlow 2 Neural network development with Python and Keras by
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Advanced Python development :using powerful language features in real-world applications by
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Next -generation machine learning with spark: Covers XGBoost, lightGBM, spark NLP, distributed deep learning with Keras and more By Butch Quinto by
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Applied analytics through case studies using SAS and R : implementing predictive models and machine learning techniques by
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Smarter homes : how technology will change your home life by
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Designing Internet of Things solutions with Microsoft azure A survey of secure and smart industrial applications by
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Arduino robotics by
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Practical python Data visualization : a fast track approach to learning data visualization with Python by
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modern X86 assembly language programming :covers x86 64-bit, AVX, AVX2, and AVX-512 by
Edition: 2nd ed.
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Machine learning with PySpark : with natural language processing and recommender systems by
Edition: 2nd ed.
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Python Data Analytics with: Pandas,NumPy and Matplotlib by
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Data analysis and visualization using Python: analyze data to create visualizations for BI systems / Ossama Embarak, by
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Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0 By Nikita Silaparasetty by
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Social machines : the coming collision of artificial intelligence, social networking, and humanity By James Hendler & Alice M. Mulvehill by
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Beginning AI Bot frameworks : getting started with bot development By Manisha Biswas by
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Learn R for applied statistics : With data visualizations, regressions, and statistics By Eric Goh Ming Hui by
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MicroPython for the internet of things : A beginner's guide to programming with Python on microcontrollers By Charles Bell by
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MicroPython for the internet of things : A beginner's guide to programming with Python on microcontrollers By Charles Bell by
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Translating statistics to make decisions : a guide for the non-statistician By Victoria Cox by
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Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn By Tshepo Chris Nokeri by
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Interpreting Machine Learning Models : Learn Model Interpretability and Explainability Methods By Anirban Nandi, Aditya Kumar Pal by
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Python for the life sciences : A gentle introduction to Python for life scientists By Alexander Lancaster, Gordon Webster by
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Advanced forecasting with Python : with state-of-the-art-models including LSTMs, Facebook's Prophet, and Amazon's DeepAR By Joos Korstanje by
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Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples / by Sayan Mukhopadhyay. by
Edition: 1st ed. 2018.
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Applied Natural Language Processing with Python : Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / by Taweh Beysolow II. by
Edition: 1st ed. 2018.
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Publication details: Apress 2021
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